diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 918da38..6f9c4e9 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -48,6 +48,24 @@ jobs: - name: Run tox run: uvx --with tox-uv tox -e py${{ matrix.python-version }} + ci-pandas: + needs: spell-check + runs-on: ubuntu-latest + steps: + - name: Check out the repository + uses: actions/checkout@v7 + with: + fetch-depth: 0 # tags needed for hatch-vcs version + + - name: Install uv + uses: astral-sh/setup-uv@v8.2.0 + with: + version: "latest" + python-version: "3.12" + + - name: Run tox + run: uvx --with tox-uv tox -e pandas + coverage: needs: spell-check runs-on: ubuntu-latest diff --git a/.gitignore b/.gitignore index fc56b33..7cdbc9a 100644 --- a/.gitignore +++ b/.gitignore @@ -39,5 +39,8 @@ tmp/ # Ad-hoc fredq report fleet (generated artifacts, data dumps, builders) report/ +# marimo session/layout caches (regenerated on notebook edit) +__marimo__/ + # Local brainstorming specs / plans (not committed) -docs/superpowers/ +docs/superpowers/ diff --git a/AGENTS.md b/AGENTS.md index f0be354..9a6c84d 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -1,7 +1,11 @@ # AGENTS.md ## Project -fredq exposes FRED (Federal Reserve Economic Data) HTTP endpoints as an LLM-friendly CLI that prints the raw JSON FRED returns. +fredq is a typed Python library and an LLM-friendly CLI over FRED (Federal +Reserve Economic Data) HTTP endpoints. The CLI prints the raw JSON FRED +returns, byte-for-byte. The library (`fredq.api` and below) returns parsed, +typed results. The two share client/commands/params foundations but the CLI +never routes through the library's typed surface. ## Stack Python 3.10+, uv, httpx2, argparse, pytest, ruff, pyright, tox, hatchling. @@ -19,14 +23,13 @@ Python 3.10+, uv, httpx2, argparse, pytest, ruff, pyright, tox, hatchling. - Full check: `uv run tox` ## Command grouping (noun-verb) -Commands are organized into six noun groups, each with verb leaves: +Commands are organized into five noun groups, each with verb leaves: - **series**: `show`, `observations`, `search`, `search-tags`, `search-related-tags`, `vintage-dates`, `categories`, `tags`, `release`, `updates` - **category**: `show`, `children`, `related`, `series`, `tags`, `related-tags` - **release**: `list`, `show`, `calendar` (all releases dates), `dates` (one release's dates), `series`, `sources`, `tags`, `related-tags`, `tables` - `release calendar` → `/fred/releases/dates`; `release dates ID` → `/fred/release/dates` (distinct endpoints) - **source**: `list`, `show`, `releases` - **tag**: `list`, `series`, `related` -- **geofred**: `series-group`, `series-data`, `regional-data`, `shapes` (unchanged; leaf stays None → uses name) Each `CommandSpec.name` is globally unique and unchanged (routing key). The `leaf` field is display-only. @@ -35,19 +38,41 @@ Each `CommandSpec.name` is globally unique and unchanged (routing key). The `lea - `src/fredq/auth.py` -> Read FRED_API_KEY from env or fallback file. - `src/fredq/commands.py` -> command metadata used to build CLI commands, validation, and help. - `src/fredq/params.py` -> CLI parameter coercion and validation helpers. +- `src/fredq/_bridge.py` -> background event loop; sync-over-async bridge (library only). +- `src/fredq/_core.py` -> async endpoint core: shared client, configure(), param building, error contract (library only). +- `src/fredq/api.py` -> public synchronous library surface (entity classes + module functions). +- `src/fredq/frames.py` -> polars-backed Frame containers for bulk tabular payloads (library only). - `src/fredq/cli.py` -> argparse command tree and stdout/stderr behavior. - `tests/` -> pytest tests mirroring `src/fredq/`. -## Rules +## Rules — CLI layer - IMPORTANT: `--help` is the primary product surface; keep it complete, adaptive, and generated from command metadata where practical. - Do not add `describe`, `endpoints`, `params`, or other discovery commands; discovery belongs under `fredq --help` and `fredq --help`. -- Print FRED response bodies to stdout exactly as returned; do not model, reshape, pretty-print, or interpret endpoint JSON. -- Keep FRED endpoint knowledge in metadata and validation only; do not create response classes. +- Print FRED response bodies to stdout exactly as returned; do not model, reshape, pretty-print, or interpret endpoint JSON. (CLI layer only; the library layer interprets.) +- In the CLI layer, keep FRED endpoint knowledge in metadata and validation only. Response classes live exclusively in the library layer (src/fredq/models/). - Use `uv run python` for Python scripts; never use bare `python` or `python3`. - Use `regex` instead of standard library `re` for regular expressions. - Never log or print the FRED API key. - Keep runtime dependencies narrow; do not add TUI, ORM, web framework, or rich formatting libraries. +## Rules — library layer +- The library layer (`api.py`, `_core.py`, `_bridge.py`, `frames.py`, `models/`) parses and types FRED responses; the raw-JSON law above does not apply to it. +- The CLI never imports `api.py`, `frames.py`, or `models/`. `fredq --help` and all CLI commands must never pay the polars import cost. +- Library kwargs mirror wire parameter names exactly as spelled in `CommandSpec`s; never an inverted flag. +- The committed corpus (`tests/fixtures/corpus/`, see its README) is the only authority for wire spellings, presence, and types. Errors are mapped by status + body shape, never message wording. + +## Response model conventions (library layer) +- Every response model subclasses `FredModel` (`src/fredq/models/_base.py`): `frozen=True`, `extra="allow"` (drift lands on `model_extra` for the gates — never use `forbid`), `populate_by_name=True`, `str_strip_whitespace=True`. No alias generator; field names mirror wire keys exactly, warts included (`seriess`). +- Required vs optional comes from the corpus, never docs or guesses: present in 100% of corpus records → required (no default); sometimes absent → `T | None = None`; always present but sometimes null → `T | None` (no default). Live evidence may LOOSEN (required → optional) with a dated docstring note and a pinned test; never tighten. +- Every model is registered in `tests/test_models_gates.py` in the same commit that creates it: zero-nested-extras over all relevant captures, required-set == corpus universal keys, alphabetical field order. +- Temporal honesty: ISO date strings → `datetime.date`; FRED's offset datetimes (`2026-04-09 07:53:12-05`) → aware `datetime` via `FredDatetime`. No temporal value stays a bare string. +- Enums only where the vocabulary is closed by request-side validation or explicit FRED documentation; corpus-only closure is insufficient (the corpus's series are not the universe). Open vocabularies stay `str`. `Literal` for true constants (`file_type`). +- `functools.cached_property` for conveniences; NEVER `computed_field` (`model_dump()` stays wire-shaped). +- Nested structures are typed sub-models, never `dict[str, Any]` (documented exceptions: `raw()`, evidence-justified Frame columns); keyed collections are `dict[str, SubModel]`. +- Model reuse across endpoints only after script-validated evidence (zero extras + required set holds on the candidate's captures); the model docstring lists every endpoint it covers. +- Single-entity endpoints unwrap their one-element list; violations raise the malformed-response contract (`FredApiError`, `error_code=None`). +- Module docstring names the endpoint noun + corpus date; sometimes-absent fields carry an applicability note. + ## API key - Primary: `FRED_API_KEY` environment variable. - Fallback: file at `~/.fredq/api_key` (single line, key only). @@ -60,7 +85,7 @@ When adding or editing a CLI command: 3. **Notes**: real clarifications only — FRED quirks, switch-behavior surprises, dependencies. Drop diary entries and redundant restatements. 4. **Order in `COMMANDS` tuple by importance**: daily-driver → discovery → entity lookups → schema introspection. Never append to the end. 5. **Param boilerplate is shared** (`--api-key`, `--realtime-start`, `--realtime-end` use exact strings — copy them). Run `pytest -k help` before and after. -6. **Positional primary args**: each command's single primary required argument is a positional (its `metavar` is shown in usage); all other parameters are flags. `series search` / `series search-tags` / `series search-related-tags` take the search text positionally; `tag series` / `tag related` take the tag list positionally; `geofred regional-data` / `geofred shapes` take their primary (`series_group` / `shape`) positionally. +6. **Positional primary args**: each command's single primary required argument is a positional (its `metavar` is shown in usage); all other parameters are flags. `series search` / `series search-tags` / `series search-related-tags` take the search text positionally; `tag series` / `tag related` take the tag list positionally. ## Output formats - **Default**: raw FRED JSON to stdout, exactly as returned. @@ -81,6 +106,8 @@ When adding or editing a CLI command: - Ask before making architectural changes that affect the CLI grammar or auth behavior. ## Development workflow +Exception: the library-api feature runs brainstorm → spec → multi-part plans on a single `library-api` branch with ONE PR at the very end, merged by the user. The per-PR merge loop below applies to normal maintenance work. + Use this process for all development work — bug fixes and features alike. For features, brainstorm and plan first, then follow the implement → review → dogfood loop below. Model / effort split: @@ -109,10 +136,7 @@ Steps: - Sources: `1` (Board of Governors), `3` (Bureau of Labor Statistics) - Add targeted probes when an endpoint is series-sensitive, but keep this baseline for broad API-surface discovery. -## GeoFRED / Maps -- Implemented under the `geofred` subcommand group (`series-group`, `series-data`, `regional-data`, `shapes`). Different base URL; regional data keyed by FIPS; `shapes` returns Highcharts-format GeoJSON in a Lambert Conformal Conic projection (not WGS84). - ## Out of scope -- Mapping FRED JSON into Python domain models. - Separate documentation/discovery subcommands. - Secrets or API keys in checked-in files. +- Typed models outside the library layer. diff --git a/CHANGELOG.md b/CHANGELOG.md index aedd16b..2841c15 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -6,6 +6,64 @@ adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [Unreleased] +fredq is now a typed Python library as well as a CLI. CLI behavior and +output are unchanged, except for the removal of the `geofred` command +group (see Removed). + +### Added + +- Typed library surface: `fredq.Series`, `fredq.Category`, `fredq.Release`, + and `fredq.Source` entity classes, plus module-level functions + (`search_series`, `releases`, `sources`, `tags`, and related lookups) — + see the README for the full surface table. +- Corpus-gated pydantic response models under `fredq.models` (`SeriesInfo`, + `ReleaseInfo`, `SourceInfo`, `TagsResult`, and others): frozen, with + required/optional derived from real FRED response captures rather than + documentation, and unrecognized fields captured on `model_extra` instead + of raising. +- `fredq.Series.observations()` returns a polars-backed `Observations` + frame (`fredq.frames`) with `.to_polars()`, `.to_pandas()`, `.to_arrow()`, + `.to_dicts()`, and `.save_parquet()`, plus a typed `.meta` envelope. +- `fredq.raw(command, **params)`: an escape hatch that reaches every + command the CLI knows, validated exactly like every other library call. +- `fredq.configure(*, api_key=None, timeout=None)` to set the shared + library client's options before the first call. +- `fredq.FredApiError`, `fredq.FredClientUsageError`, and related + exceptions for typed error handling in library code. +- `py.typed` marker ([PEP 561](https://peps.python.org/pep-0561/)) so type + checkers see the library's real return types without stubs. +- New optional extra: `pip install "fredq[pandas]"` (pandas + pyarrow) for + `Observations.to_pandas()` / `.to_arrow()`. + +### Changed + +- Added `pydantic` as a core runtime dependency (typed response models). + +### Removed + +- **Breaking:** the `geofred` CLI command group (`series-group`, + `series-data`, `regional-data`, `shapes`) and its four FRED Maps API + endpoints. The GeoFRED site was sunset in 2022 and the underlying API is + deprecated. These commands are no longer reachable from the CLI, and + `fredq.raw()` no longer recognizes these command names (GeoFRED was + never part of the typed library surface — `raw()` was its only access + point, and that access point is now gone too). Call the FRED Maps API + directly (e.g. with `httpx`) if you still need this data; see the + [FRED API docs](https://fred.stlouisfed.org/docs/api/geofred/) for the + endpoint paths and parameters. + +### Internal + +- Packaging membership is test-pinned (`tests/test_packaging.py`): the + wheel carries `py.typed` and the library modules and excludes + `tests/`/`node_modules/`/`docs/`/`output/`; the sdist carries the test + corpus and excludes dev-only trees. Added an explicit + `[tool.hatch.build.targets.sdist] exclude` list — hatchling's + VCS-ignore-based exclusion silently no-ops when the build root is passed + as an absolute path inside a git worktree (`.git` is a file there), + which had let dev trees like `node_modules/` leak into a worktree-built + sdist. + ## [0.3.3] Maintenance release — no user-facing changes. diff --git a/README.md b/README.md index d3e734d..7b8d9c9 100644 --- a/README.md +++ b/README.md @@ -6,165 +6,222 @@ [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![GitHub License](https://img.shields.io/github/license/joce/fredq)](https://github.com/joce/fredq/blob/main/LICENSE) -FRED Query — Federal Reserve Economic Data on the command line. - -fredq brings the [FRED](https://fred.stlouisfed.org/docs/api/fred/) (Federal -Reserve Economic Data) HTTP endpoints to the command line. It is built for -scripts, agents, and quick terminal work that needs the JSON returned by the -FRED API. - -The project stays deliberately close to the source. It does not reshape FRED -responses, define economic domain models, or add a discovery API beyond CLI -help. - -## Features - -- Raw FRED JSON on stdout, with no pretty-printing or interpretation. -- Endpoint-specific commands for every public FRED API endpoint. -- Generated help that includes examples, parameters, and known value sets. -- Typed Parquet output for `series observations` when a long time series is - more useful as a columnar table than as JSON. -- ALFRED point-in-time support (`--realtime-start`, `--realtime-end`, - `series vintage-dates`). -- GeoFRED / Maps regional data (`geofred` subcommands): regional time series, - all-region snapshots, series-group metadata, and GeoJSON shape files. +fredq brings [FRED](https://fred.stlouisfed.org/docs/api/fred/) (Federal +Reserve Economic Data) to Python two ways: a typed library for programs +(`fredq.Series("DGS10").observations()` returns a polars frame; `.info()` +returns a validated, typed record) and an LLM-friendly command line +(`fredq series observations DGS10`) that prints the raw JSON FRED returns, +byte-for-byte, for scripts, agents, and quick terminal work. ## Install -fredq is a Python 3.10+ project. Install it as a tool with -[uv](https://docs.astral.sh/uv/) or with pip: +fredq is a Python 3.10+ package: ```powershell -uv tool install fredq -# or pip install fredq +# or, as a standalone CLI tool +uv tool install fredq ``` -Then run: +Add the `pandas` extra for `to_pandas()` / `to_arrow()` frame conversions: ```powershell -fredq --help +pip install "fredq[pandas]" ``` -### From Source +A free FRED API key is required — see [Auth](#auth). -To run from a local checkout (development): +## Library quickstart -```powershell -uv sync --all-groups -uv run fredq --help +```python +import fredq + +# Observations come back as a typed, polars-backed frame. +obs = fredq.Series("DGS10").observations(observation_start="2024-01-01") +df = obs.to_polars() # or .to_pandas() / .to_arrow() (needs [pandas]) / .to_dicts() +print(obs.meta.units, obs.meta.count) # the response envelope, corpus-typed + +# Metadata calls return validated pydantic models with real fields. +info = fredq.Series("DGS10").info() +print(info.title, info.frequency, info.observation_start) + +# Free-text search, releases, sources — all typed. +hits = fredq.search_series("10-year treasury", limit=10) +for s in hits.seriess: + print(s.id, s.title) + +release = fredq.Release(53).info() # 53 = GDP +print(release.name, release.link) ``` -Or install the checkout as a tool: +Errors are raised as typed exceptions instead of surfacing raw HTTP details: -```powershell -uv tool install . -fredq --help +```python +from fredq import FredApiError + +try: + fredq.Series("NOT-A-REAL-SERIES").info() +except FredApiError as exc: + print(exc.error_code, exc.error_message) ``` -## API Key +Configure the shared client once, before the first call (API key, timeout): -The FRED API requires a free API key. Request one at -. +```python +fredq.configure(api_key="...", timeout=None) +``` -fredq reads the key from, in order: +Anything without a first-class method is reachable through the escape +hatch, which validates parameters exactly like the typed calls and returns +the parsed payload as a plain dict: -1. The `FRED_API_KEY` environment variable. -2. The first non-empty line of `~/.fredq/api_key`. -3. The `--api-key` flag (visible in process listings; prefer the env var). +```python +payload = fredq.raw("series", series_id="DGS10") +``` -On POSIX systems, restrict the key file so only your user can read it: +## Library surface -```bash -chmod 600 ~/.fredq/api_key +Every entity class binds one ID and exposes endpoint methods as +keyword-only calls (wire parameter names, unchanged from FRED's own +spelling). Every call is one HTTP request and returns a typed pydantic +model, except `Series.observations()`, which returns an `Observations` +frame. + +| Entity | Methods | +| --- | --- | +| `Series(series_id)` | `info`, `observations`, `vintage_dates`, `categories`, `tags`, `release` | +| `Category(category_id)` | `info`, `children`, `related`, `series`, `tags`, `related_tags` | +| `Release(release_id)` | `info`, `dates`, `series`, `sources`, `tags`, `related_tags`, `tables` | +| `Source(source_id)` | `info`, `releases` | + +Module-level functions cover the endpoints with no natural entity owner: + +| Function | FRED data | +| --- | --- | +| `search_series(search_text, ...)` | Search FRED series by keyword. | +| `search_series_tags(series_search_text, ...)` | Tags for a series full-text search. | +| `search_series_related_tags(series_search_text, tag_names, ...)` | Tags related to a search and existing tag filter. | +| `series_updates(...)` | Recently updated FRED series. | +| `releases(...)` | All FRED economic data releases. | +| `release_calendar(...)` | Release dates across all FRED releases. | +| `sources(...)` | All FRED data sources. | +| `tags(...)` | All FRED tags. | +| `tag_series(tag_names, ...)` | Series matching a set of FRED tags. | +| `related_tags(tag_names, ...)` | Tags related to an existing tag filter. | +| `raw(command, **params)` | Escape hatch — any command by name. | +| `configure(*, api_key=None, timeout=None)` | Set shared-client options before the first call. | + +Date-like parameters (`observation_start`, `realtime_start`, ...) accept a +`str`, `datetime.date`, or `datetime.datetime`. Errors are raised as +`fredq.FredApiError` (FRED's structured error response) or +`fredq.FredClientUsageError` (invalid arguments caught before any request is +sent); both subclass `fredq.FredqError`. + +## Typed models + +Every typed return value is a frozen pydantic model under `fredq.models`, +built directly from a corpus of real FRED responses: fields are marked +required only when they are present in 100% of the corpus's captures for +that endpoint, and optional otherwise — no guessing from documentation. +Unrecognized fields land on `model_extra` rather than raising, so a new FRED +field surfaces as data, not a crash. fredq ships [PEP 561](https://peps.python.org/pep-0561/) +type information (`py.typed`), so type checkers see the real return types +without stubs. + +## Examples + +[`examples/fred_explorer.py`](examples/fred_explorer.py) is an interactive +[marimo](https://marimo.io) notebook built entirely on the library: a series +explorer with units transforms and frequency aggregation, multi-series +comparison, catalog search, ALFRED vintage-revision analysis, and a +mortgage-vs-Treasury spread dashboard. Run it without adding dependencies: + +```sh +uv run --with marimo --with altair marimo edit examples/fred_explorer.py ``` -fredq emits a warning if the file is readable by group or world. To disable -the file fallback entirely (for hermetic runs), set `FREDQ_DISABLE_KEY_FILE=1` -or pass `--no-key-file`. +## Command line -fredq never prints, logs, or echoes the API key. The key is also redacted -from URLs in error messages and from any httpx2 debug logs emitted under -`--verbose`. +The CLI is a separate, from-scratch layer: it prints the FRED response body +to stdout exactly as returned, with no reshaping or interpretation — the +library's typed models are not involved. It is built for scripts, agents, +and terminal use that want raw JSON. -## Quick Start +```powershell +fredq --help +``` + +### Quick start Show metadata for a series: ```powershell -uv run fredq series show GNPCA +fredq series show GNPCA ``` Fetch a series' observations: ```powershell -uv run fredq series observations CPIAUCSL +fredq series observations CPIAUCSL ``` Apply a unit transformation and frequency aggregation: ```powershell -uv run fredq series observations CPIAUCSL --units pch --frequency m +fredq series observations CPIAUCSL --units pch --frequency m ``` Search for a series by keyword: ```powershell -uv run fredq series search "10-year treasury" --limit 10 +fredq series search "10-year treasury" --limit 10 ``` Browse the FRED category tree from the root: ```powershell -uv run fredq category children 0 +fredq category children 0 ``` List recent economic releases: ```powershell -uv run fredq release list --limit 10 +fredq release list --limit 10 ``` List recent release publication dates across all releases: ```powershell -uv run fredq release calendar --limit 20 +fredq release calendar --limit 20 ``` Show metadata for a specific release (53 = GDP): ```powershell -uv run fredq release show 53 +fredq release show 53 ``` Find all series tagged with a set of FRED tags: ```powershell -uv run fredq tag series "usa;monthly;cpi" --limit 25 +fredq tag series "usa;monthly;cpi" --limit 25 ``` ALFRED point-in-time: see what GDP looked like on a past date: ```powershell -uv run fredq series vintage-dates GNPCA -uv run fredq series observations GNPCA --realtime-start 2024-09-25 -``` - -Fetch GeoFRED regional data — per-capita income by state for one year: - -```powershell -uv run fredq geofred series-group WIPCPI -uv run fredq geofred series-data WIPCPI --start-date 2022-01-01 +fredq series vintage-dates GNPCA +fredq series observations GNPCA --realtime-start 2024-09-25 ``` -## Parquet Output +### Parquet output `series observations` can write a typed Parquet table instead of raw JSON. Parquet output is included in a plain install — no extra required. Pass `--format parquet --out PATH`: ```powershell -uv run fredq series observations CPIAUCSL --units pch --frequency m \ +fredq series observations CPIAUCSL --units pch --frequency m \ --format parquet --out cpi_yoy.parquet ``` @@ -181,38 +238,38 @@ stays JSON-only, and rejects `--format parquet` with a usage error. Parquet output assumes FRED's default observation layout (one row per observation); fredq does not expose FRED's alternative `output_type` modes. -## Discovering IDs +### Discovering IDs Most commands take an ID as a positional argument. If you don't know one yet, start with the commands that need no ID, then chain: ```powershell # Find a series ID by keyword -uv run fredq series search "unemployment rate" --limit 10 +fredq series search "unemployment rate" --limit 10 # List the catalogs -uv run fredq release list --limit 1000 # release IDs -uv run fredq source list # source IDs -uv run fredq tag list --limit 50 # tag names +fredq release list --limit 1000 # release IDs +fredq source list # source IDs +fredq tag list --limit 50 # tag names # Walk the category tree from the root (0 = root) -uv run fredq category children 0 +fredq category children 0 ``` Then use the ID with the matching command: ```powershell -uv run fredq series observations DGS10 -uv run fredq category series 106 -uv run fredq release series 10 +fredq series observations DGS10 +fredq category series 106 +fredq release series 10 ``` -## Commands +### Commands Use root help to see the command list: ```powershell -uv run fredq --help +fredq --help ``` Current commands, grouped by how often they're reached for: @@ -278,34 +335,20 @@ Current commands, grouped by how often they're reached for: | `source show` | Show metadata for one FRED source. | | `source releases` | List releases published by one FRED source. | -**GeoFRED / Maps (`geofred` subcommands)** - -| Command | FRED data | -| --- | --- | -| `geofred series-group` | Show GeoFRED series-group metadata (region type, season, frequency, units). | -| `geofred series-data` | Fetch the regional time series for one FRED series. | -| `geofred regional-data` | Fetch a regional snapshot — all regions for a single date. | -| `geofred shapes` | Download a GeoJSON shape file for a region type, to `--out`. | - -The GeoFRED endpoints use a different base URL and return regional data keyed by -FIPS code. `geofred shapes` returns Highcharts-format GeoJSON whose coordinates -are in a Lambert Conformal Conic projection (not WGS84); reproject before mixing -with lat/lon basemaps. See `fredq geofred --help` for the full subcommand list. - A bare group prints its list of subcommands; each leaf command has its own adaptive help: ```powershell -uv run fredq series --help # group: lists the series subcommands -uv run fredq series observations --help # leaf: full endpoint help -uv run fredq series search --help -uv run fredq release calendar --help +fredq series --help # group: lists the series subcommands +fredq series observations --help # leaf: full endpoint help +fredq series search --help +fredq release calendar --help ``` Leaf-command help is the primary documentation surface. It shows the FRED target endpoint, accepted parameters, allowed value sets, defaults, and examples. -## Dates, Booleans, and Tag Lists +### Dates, booleans, and tag lists Date parameters accept: @@ -321,10 +364,10 @@ Tag lists (`--tag-names`, `--exclude-tag-names`) use semicolons as separators, matching FRED's wire format: ```powershell -uv run fredq tag series "usa;annual" +fredq tag series "usa;annual" ``` -## ALFRED Point-in-Time +### ALFRED point-in-time Most endpoints accept `--realtime-start` and `--realtime-end` to view data as of a historical date (the [ALFRED](https://alfred.stlouisfed.org/) @@ -334,62 +377,65 @@ backtests and for distinguishing data revisions from real-time signals. ```powershell # When were GNP revisions published? -uv run fredq series vintage-dates GNPCA +fredq series vintage-dates GNPCA # What did GNP look like on 2024-09-25? -uv run fredq series observations GNPCA \ +fredq series observations GNPCA \ --realtime-start 2024-09-25 --realtime-end 2024-09-25 ``` -## Output Contract +### Output contract fredq writes the FRED response body to stdout exactly as returned. This makes it easy to pipe into tools that expect JSON: ```powershell -uv run fredq series show GNPCA | jq . -uv run fredq release list --limit 25 | jq '.releases[].name' +fredq series show GNPCA | jq . +fredq release list --limit 25 | jq '.releases[].name' ``` Diagnostics, warnings, and errors are written to stderr. The exit code is `0` on success, `1` on a FRED request failure, and `2` on a usage or configuration error. -## Development +## Auth -Install development dependencies: +The FRED API requires a free API key. Request one at +. -```powershell -uv sync --all-groups -``` +Both the library and the CLI read the key from, in order: -Run the test suite: +1. The `FRED_API_KEY` environment variable. +2. The first non-empty line of `~/.fredq/api_key`. +3. CLI only: the `--api-key` flag (visible in process listings; prefer the + env var). Library callers pass `api_key=` to `fredq.configure()` instead. -```powershell -uv run pytest +On POSIX systems, restrict the key file so only your user can read it: + +```bash +chmod 600 ~/.fredq/api_key ``` -Run checks locally: +fredq emits a warning if the file is readable by group or world. To disable +the file fallback entirely (for hermetic runs), set `FREDQ_DISABLE_KEY_FILE=1` +or pass `--no-key-file` (CLI), or call `fredq.configure(api_key=...)` with an +explicit key (library). -```powershell -uv run black --check . -uv run ruff format --check --diff . -uv run ruff check . -uv run pyright -uv run pytest -n auto -``` +fredq never prints, logs, or echoes the API key. The key is also redacted +from URLs in error messages and from any httpx2 debug logs emitted under +`--verbose`. -Run the full project check, including Python checks across supported -versions and spelling: +## Development + +See [AGENTS.md](AGENTS.md) for architecture, conventions, and the +CLI-layer/library-layer split. In short: ```powershell -uv run tox +uv sync --all-groups +uv run pytest +uv run tox # full gate: formatting, lint, type check, tests across supported Python versions, spelling ``` -When adding or changing command metadata, update validation, adaptive help, -and tests together. Then verify the relevant command against FRED with its -help, minimal required parameters, and representative optional parameters. - ## License fredq is released under the MIT License. See [LICENSE](LICENSE). diff --git a/cspell.json b/cspell.json index ced898b..762dc91 100644 --- a/cspell.json +++ b/cspell.json @@ -4,6 +4,7 @@ "language": "en", "useGitignore": true, "ignorePaths": [ + "**/__marimo__", ".git", ".gitignore", ".pytest_cache", @@ -16,6 +17,7 @@ "Makefile", "node_modules", "pyproject.toml", + "tests/fixtures/corpus/**/*.json", "tox.ini", "uv.lock" ], @@ -27,15 +29,12 @@ "alfred", "badmethod", "bannual", - "censusdivision", - "censusregion", "delenv", "edgarq", "fredq", "geofred", "geot", "homebuilder", - "necta", "posargs", "pyfredapi", "pystlouisfed", @@ -44,31 +43,53 @@ "seas", "seriess", "testpaths", - "topojson", "topsecret", "unparseable" ], "words": [ "ACMR", + "autouse", "backtests", - "basemaps", "caplog", "capsys", + "coro", + "CPIAUCSL", "datetimes", + "DEXCAUS", "dogfood", "dogfooding", - "Highcharts", + "dunders", + "FEDFUNDS", + "foundish", + "FUNCS", + "GNPCA", + "groupp", "intraday", "kwarg", + "logreport", + "longrepr", "metavar", "metavars", + "nbsp", "jocelynlegault", "joce", "Legault", - "reproject", + "monkeypatched", + "nodeid", + "padder", + "reprs", + "reraises", + "sdists", "stlouisfed", + "ungated", + "unmodeled", + "unpivot", "vintagedates", - "xhigh" + "wasxfail", + "worktree", + "xhigh", + "zzqqxbogustag", + "zzxqqzyxnonsense" ], "patterns": [ { diff --git a/examples/fred_explorer.py b/examples/fred_explorer.py new file mode 100644 index 0000000..311f6cc --- /dev/null +++ b/examples/fred_explorer.py @@ -0,0 +1,554 @@ +"""FRED explorer — an interactive marimo notebook over the fredq library. + +Run (from the repo root; fredq resolves from the project venv, marimo and +altair are ephemeral overlays): + + uv run --with marimo --with altair marimo edit examples/fred_explorer.py + +Panels: a series explorer (units transforms, frequency aggregation, typed +errors in the UI), multi-series comparison with correlations, catalog +search, ALFRED vintage revisions, and mortgage-vs-Treasury spread analysis. +""" + +import marimo + +__generated_with = "0.23.13" +app = marimo.App(width="medium") + + +@app.cell +def _(): + import functools + + import marimo as mo + import polars as pl + + import fredq + + return fredq, functools, mo, pl + + +@app.cell +def _(mo): + mo.md(""" + # FRED explorer (fredq dogfood) + + Everything below flows through the typed `fredq` library: observations + as polars frames, catalog searches as corpus-gated models, ALFRED + vintages via realtime windows, and `FredApiError` surfaced in the UI. + """) + return + + +@app.cell +def _(fredq, functools): + @functools.lru_cache(maxsize=64) + def fetch_observations( + series_id: str, + start: str | None, + end: str | None, + units: str | None, + frequency: str | None, + ): + """One cached fredq call per unique control combination.""" + return fredq.Series(series_id).observations( + observation_start=start, + observation_end=end, + units=units, + frequency=frequency, + ) + + @functools.lru_cache(maxsize=16) + def fetch_info(series_id: str): + return fredq.Series(series_id).info() + + @functools.lru_cache(maxsize=16) + def fetch_vintages(series_id: str): + return fredq.Series(series_id).vintage_dates( + limit=24, sort_order="desc" + ) + + @functools.lru_cache(maxsize=32) + def fetch_vintage_observations(series_id: str, vintage: str, start: str): + return fredq.Series(series_id).observations( + realtime_start=vintage, + realtime_end=vintage, + observation_start=start, + ) + + return ( + fetch_info, + fetch_observations, + fetch_vintage_observations, + fetch_vintages, + ) + + +@app.cell +def _(mo): + UNITS = ["lin", "chg", "ch1", "pch", "pc1", "pca", "cch", "cca", "log"] + FREQS = ["native", "d", "w", "bw", "m", "q", "sa", "a"] + + explorer_form = ( + mo.md( + """ + **Series** {series_id}   **From** {start} **To** {end} + + **Units transform** {units}   **Frequency** {frequency} + """ + ) + .batch( + series_id=mo.ui.text(value="DGS10", label=""), + start=mo.ui.date(value="2015-01-01", label=""), + end=mo.ui.date(value="2026-07-01", label=""), + units=mo.ui.dropdown(options=UNITS, value="lin", label=""), + frequency=mo.ui.dropdown(options=FREQS, value="native", label=""), + ) + .form(submit_button_label="Fetch") + ) + explorer_form + return (explorer_form,) + + +@app.cell +def _(explorer_form, fetch_info, fetch_observations, fredq, mo): + _defaults = { + "series_id": "DGS10", + "start": "2015-01-01", + "end": "2026-07-01", + "units": "lin", + "frequency": "native", + } + _v = explorer_form.value or _defaults + + explorer_error = None + obs = None + info = None + try: + info = fetch_info(str(_v["series_id"]).strip().upper()) + obs = fetch_observations( + str(_v["series_id"]).strip().upper(), + str(_v["start"]), + str(_v["end"]), + None if _v["units"] == "lin" else str(_v["units"]), + None if _v["frequency"] == "native" else str(_v["frequency"]), + ) + except fredq.FredApiError as exc: + explorer_error = mo.callout( + mo.md( + f"**FRED rejected the request** (HTTP {exc.status_code}, " + f"error_code {exc.error_code}): {exc.error_message}" + ), + kind="danger", + ) + explorer_error + return info, obs + + +@app.cell +def _(info, mo, obs): + _out = None + if obs is not None and info is not None: + _missing = obs.df["value"].null_count() + _out = mo.vstack( + [ + mo.md( + f"### {info.title}\n" + f"*{info.units} — {info.frequency}, " + f"{info.seasonal_adjustment_short}; " + f"last updated {info.last_updated:%Y-%m-%d %H:%M}*" + ), + mo.hstack( + [ + mo.stat(value=str(obs.df.height), label="rows"), + mo.stat(value=str(_missing), label="missing (null)"), + mo.stat(value=obs.meta.units, label="transform"), + mo.stat( + value=f"{obs.meta.realtime_start}", + label="realtime", + ), + ] + ), + obs.df.drop_nulls("value").plot.line(x="date", y="value"), + mo.ui.table(obs.df, page_size=10), + ] + ) + _out + return + + +@app.cell +def _(mo): + mo.md(""" + ## Compare series (joined on date, min-max normalized) + """) + return + + +@app.cell +def _(mo): + compare_select = mo.ui.multiselect( + options=["DGS10", "UNRATE", "CPIAUCSL", "FEDFUNDS", "MORTGAGE30US", "GDP"], + value=["DGS10", "UNRATE"], + label="Series to compare (monthly, since 2000)", + ) + compare_select + return (compare_select,) + + +@app.cell +def _(compare_select, fetch_observations, mo, pl): + _frames = [] + for _sid in compare_select.value: + _o = fetch_observations(_sid, "2000-01-01", None, None, "m") + _frames.append( + _o.df.select( + "date", + pl.col("value").alias(_sid), + ) + ) + + compare_df = None + _chart = None + if _frames: + compare_df = _frames[0] + for _f in _frames[1:]: + compare_df = compare_df.join(_f, on="date", how="full", coalesce=True) + compare_df = compare_df.sort("date") + _norm = compare_df.select( + "date", + *[ + ((pl.col(c) - pl.col(c).min()) / (pl.col(c).max() - pl.col(c).min())) + .alias(c) + for c in compare_df.columns + if c != "date" + ], + ) + _long = _norm.unpivot( + index="date", variable_name="series", value_name="normalized" + ).drop_nulls("normalized") + _chart = _long.plot.line(x="date", y="normalized", color="series") + + mo.vstack([x for x in (_chart, mo.ui.table(compare_df, page_size=8)) if x is not None]) + return (compare_df,) + + +@app.cell +def _(compare_df, mo, pl): + _out = None + if compare_df is not None: + _cols = [c for c in compare_df.columns if c != "date"] + _rows = [] + for _a in _cols: + _row: dict[str, object] = {"series": _a} + for _b in _cols: + _row[_b] = round( + compare_df.select(pl.corr(_a, _b)).item() or 0.0, 3 + ) + _rows.append(_row) + _out = mo.vstack( + [mo.md("**Pairwise correlation** (levels)"), mo.ui.table(pl.DataFrame(_rows))] + ) + _out + return + + +@app.cell +def _(mo): + mo.md(""" + ## Search the catalog + """) + return + + +@app.cell +def _(mo): + search_box = mo.ui.text( + value="unemployment rate", label="Full-text search", debounce=True + ) + search_box + return (search_box,) + + +@app.cell +def _(fredq, mo, pl, search_box): + _result = fredq.search_series(search_box.value or "unemployment", limit=10) + _table = pl.DataFrame( + [ + { + "id": s.id, + "title": s.title, + "frequency": s.frequency_short, + "units": s.units_short, + "popularity": s.popularity, + "range": f"{s.observation_start} - {s.observation_end}", + } + for s in _result.seriess + ] + ) + mo.vstack( + [ + mo.md(f"{_result.count} matches (showing {len(_result.seriess)})"), + mo.ui.table(_table, page_size=10), + ] + ) + return + + +@app.cell +def _(mo): + mo.md(""" + ## Revisions (ALFRED vintages) + + The same series as it looked on two different publication dates — + fetched with `realtime_start == realtime_end == vintage`. Not all + series revise alike: **retail sales (RSAFS)** and **industrial + production (INDPRO)** rework recent months on every release, + **payrolls (PAYEMS)** revises its prior two months, **GDP** mostly + moves only between its estimate rounds, and **UNRATE/CPIAUCSL** + change only at annual seasonal-factor benchmarks (adjacent vintages + look identical). Rows are classified so new-in-newer observations + aren't silently dropped by the join. + """) + return + + +@app.cell +def _(mo): + revision_series = mo.ui.dropdown( + options=["RSAFS", "INDPRO", "PAYEMS", "GDP", "UNRATE", "CPIAUCSL"], + value="RSAFS", + label="Series (heavy revisers first)", + ) + revision_series + return (revision_series,) + + +@app.cell +def _(fetch_vintages, mo, revision_series): + _vintages = [ + str(d) for d in fetch_vintages(str(revision_series.value)).vintage_dates + ] + + vintage_old = mo.ui.dropdown( + options=_vintages, + value=_vintages[min(4, len(_vintages) - 1)], + label="Older vintage", + ) + vintage_new = mo.ui.dropdown( + options=_vintages, value=_vintages[0], label="Newer vintage" + ) + mo.hstack([vintage_old, vintage_new]) + return vintage_new, vintage_old + + +@app.cell +def _( + fetch_vintage_observations, + mo, + pl, + revision_series, + vintage_new, + vintage_old, +): + _sid = str(revision_series.value) + _start = "2024-01-01" + _old = fetch_vintage_observations(_sid, str(vintage_old.value), _start) + _new = fetch_vintage_observations(_sid, str(vintage_new.value), _start) + + revisions = ( + _old.df.select("date", pl.col("value").alias("older")) + .join( + _new.df.select("date", pl.col("value").alias("newer")), + on="date", + how="full", + coalesce=True, + ) + .with_columns((pl.col("newer") - pl.col("older")).alias("revision")) + .with_columns( + pl.when(pl.col("older").is_null()) + .then(pl.lit("new in newer vintage")) + .when(pl.col("newer").is_null()) + .then(pl.lit("only in older vintage")) + .when(pl.col("revision") != 0) + .then(pl.lit("revised")) + .otherwise(pl.lit("unchanged")) + .alias("status") + ) + .sort("date") + ) + _revised = revisions.filter(pl.col("status") == "revised") + _new_rows = revisions.filter(pl.col("status") == "new in newer vintage") + _max_delta = ( + _revised.select(pl.col("revision").abs().max()).item() + if _revised.height + else 0.0 + ) + _chart = ( + _revised.plot.bar(x="date", y="revision") if _revised.height else None + ) + + mo.vstack( + [ + mo.md( + f"**{_sid}** between vintages {vintage_old.value} and " + f"{vintage_new.value} (observations since {_start})" + ), + mo.hstack( + [ + mo.stat(value=str(revisions.height), label="rows"), + mo.stat(value=str(_revised.height), label="revised"), + mo.stat(value=str(_new_rows.height), label="new in newer"), + mo.stat(value=f"{_max_delta:g}", label="max |revision|"), + ] + ), + _chart + if _chart is not None + else mo.callout( + mo.md( + "No revised overlapping observations between these two " + "vintages — pick vintages further apart, or a heavier " + "reviser (RSAFS, INDPRO, PAYEMS)." + ), + kind="info", + ), + mo.ui.table( + revisions.filter(pl.col("status") != "unchanged").sort( + "date", descending=True + ), + page_size=10, + ), + ] + ) + return + + +@app.cell +def _(mo): + mo.md(""" + ## Mortgage rates vs the 10-Year Treasury + + 30-year fixed mortgage (MORTGAGE30US, weekly) against the 10-year + constant-maturity Treasury yield (DGS10, daily), as-of joined: each + weekly mortgage print pairs with the latest Treasury close at or + before it. The spread between them is the price of mortgage credit + and prepayment risk — overlaid with unemployment (UNRATE, monthly, + as-of joined the same way), since spread blowouts and unemployment + spikes mark the same stress episodes. Note UNRATE for month M is + published in early M+1; for strict real-time alignment use the ALFRED + vintage panel's technique instead. + """) + return + + +@app.cell +def _(mo): + spread_window = mo.ui.dropdown( + options={ + "Full history (1971+)": "1971-04-01", + "Since 2000": "2000-01-01", + "Since 2015": "2015-01-01", + "Since 2022": "2022-01-01", + }, + value="Since 2015", + label="Window", + ) + spread_window + return (spread_window,) + + +@app.cell +def _(fetch_observations, mo, pl, spread_window): + _start = str(spread_window.value) + _mortgage = fetch_observations("MORTGAGE30US", _start, None, None, None) + _treasury = fetch_observations("DGS10", _start, None, None, None) + _unrate = fetch_observations("UNRATE", _start, None, None, None) + + spread_df = ( + _mortgage.df.drop_nulls("value") + .select("date", pl.col("value").alias("mortgage_30y")) + .sort("date") + .join_asof( + _treasury.df.drop_nulls("value") + .select("date", pl.col("value").alias("treasury_10y")) + .sort("date"), + on="date", + ) + .join_asof( + _unrate.df.drop_nulls("value") + .select("date", pl.col("value").alias("unemployment")) + .sort("date"), + on="date", + ) + .drop_nulls() + .with_columns( + (pl.col("mortgage_30y") - pl.col("treasury_10y")).alias("spread") + ) + ) + + _latest = spread_df.tail(1).to_dicts()[0] + _levels_chart = ( + spread_df.unpivot( + index="date", + on=["mortgage_30y", "treasury_10y", "unemployment"], + variable_name="series", + value_name="percent", + ).plot.line(x="date", y="percent", color="series") + ) + _stress_chart = ( + spread_df.unpivot( + index="date", + on=["spread", "unemployment"], + variable_name="series", + value_name="percent", + ).plot.line(x="date", y="percent", color="series") + ) + _corr_spread_unrate = spread_df.select( + pl.corr("spread", "unemployment") + ).item() + _corr_treasury_unrate = spread_df.select( + pl.corr("treasury_10y", "unemployment") + ).item() + + mo.vstack( + [ + mo.hstack( + [ + mo.stat( + value=f"{_latest['mortgage_30y']:.2f}%", + label=f"30y mortgage ({_latest['date']})", + ), + mo.stat( + value=f"{_latest['treasury_10y']:.2f}%", + label="10y Treasury (as-of)", + ), + mo.stat( + value=f"{_latest['spread']:.2f}%", + label="current spread", + ), + mo.stat( + value=f"{_latest['unemployment']:.1f}%", + label="unemployment (as-of)", + ), + mo.stat( + value=f"{spread_df['spread'].mean():.2f}%", + label="mean spread (window)", + ), + ] + ), + _levels_chart, + mo.md( + "**Credit stress view** — spread (mortgage − Treasury) vs " + f"unemployment. Window correlations: spread↔unemployment " + f"**{_corr_spread_unrate:.2f}**, Treasury↔unemployment " + f"**{_corr_treasury_unrate:.2f}**." + ), + _stress_chart, + mo.ui.table(spread_df.sort("date", descending=True), page_size=8), + ] + ) + return + + +if __name__ == "__main__": + app.run() diff --git a/pyproject.toml b/pyproject.toml index 4471528..09baa96 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] name = "fredq" dynamic = ["version"] -description = "LLM-friendly CLI for raw FRED (Federal Reserve Economic Data) API JSON." +description = "Typed Python library and LLM-friendly CLI for FRED (Federal Reserve Economic Data)." readme = "README.md" authors = [{ name = "Jocelyn Legault", email = "jocelynlegault@gmail.com" }] license = "MIT" @@ -14,6 +14,8 @@ keywords = [ "macro", "cli", "llm-tools", + "library", + "typed", ] classifiers = [ "Development Status :: 3 - Alpha", @@ -34,10 +36,14 @@ classifiers = [ dependencies = [ "httpx2>=2.5,<3.0", "polars>=1.41,<2.0", + "pydantic>=2.9,<3.0", "regex>=2025.11,<2027.0", "typing-extensions>=4.13", ] +[project.optional-dependencies] +pandas = ["pandas>=2.2,<3.0", "pyarrow>=17,<23"] + [project.scripts] fredq = "fredq.cli:main" @@ -71,6 +77,8 @@ dev = [ [tool.black] target-version = ["py310"] line-length = 88 +# examples/ holds marimo notebooks whose cell layout marimo itself owns. +extend-exclude = "examples/" [tool.isort] profile = "black" @@ -78,7 +86,7 @@ py_version = "auto" skip = ["__pycache__", ".venv", ".uv-cache", ".git", ".pytest_cache", ".tox"] [tool.pyright] -include = ["src", "tests"] +include = ["src", "tests", "tools"] exclude = ["src/fredq/_version.py"] typeCheckingMode = "strict" @@ -86,8 +94,19 @@ typeCheckingMode = "strict" root = "src/fredq/parquet_writer.py" reportUnknownVariableType = false +[[tool.pyright.executionEnvironments]] +# pandas/pyarrow are the optional fredq[pandas] extra and absent from the +# base dev environment: their imports and untyped return values are +# Unknown to pyright here. The ImportError probes keep runtime honest. +root = "tests/test_frames.py" +reportMissingImports = false +reportUnusedImport = false +reportUnknownMemberType = false +reportUnknownArgumentType = false +reportUnknownVariableType = false + [tool.pytest.ini_options] -pythonpath = "src" +pythonpath = ["src", "."] testpaths = ["tests"] timeout = 10 asyncio_mode = "auto" @@ -117,6 +136,7 @@ directory = "htmlcov" exclude = [ "__pycache__", ".git", + "examples", ".pytest_cache", ".ruff_cache", ".specstory", @@ -209,8 +229,13 @@ preview = true "DOC501", "PLC2701", "S101", + "S404", "SLF001", ] +"tools/*" = [ + "PLC2701", + "T201", +] [tool.ruff.lint.pydocstyle] convention = "google" @@ -225,7 +250,33 @@ version-file = "src/fredq/_version.py" packages = ["src/fredq"] [tool.hatch.build.targets.sdist] +# Explicit include AND exclude: hatchling normally also excludes .gitignore +# patterns, but that detection silently fails to find the project's +# .gitignore when the build root is passed as an absolute path (exactly what +# `uv build`'s PEP 517 hook does) inside a git worktree, where `.git` is a +# file rather than a directory. Without this explicit exclude list, a build +# from a worktree ships every gitignored dev tree (node_modules/, .claude/, +# .venv/, ...) into the sdist. See tests/test_packaging.py. include = ["src", "tests", "AGENTS.md", "CHANGELOG.md", "LICENSE", "README.md", "RELEASING.md", "pyproject.toml"] +exclude = [ + "**/__pycache__", + "**/*.py[cod]", + ".claude", + ".git", + ".mypy_cache", + ".pytest_cache", + ".ruff_cache", + ".tox", + ".uv-cache", + ".venv", + ".vscode", + "docs", + "htmlcov", + "node_modules", + "output", + "report", + "tmp", +] [build-system] requires = ["hatchling>=1.29,<2.0", "hatch-vcs>=0.4,<1.0"] diff --git a/src/fredq/__init__.py b/src/fredq/__init__.py index f51e5cb..0b5b9e5 100644 --- a/src/fredq/__init__.py +++ b/src/fredq/__init__.py @@ -1,9 +1,116 @@ -"""Expose FRED (Federal Reserve Economic Data) endpoints as a raw JSON CLI.""" +"""Fully-typed FRED data, one call at a time. + +fredq is a synchronous library over the FRED (Federal Reserve Economic +Data) API — ``import fredq`` then +``obs = fredq.Series("DGS10").observations()`` for a polars-backed frame, +or ``fredq.Series("DGS10").info()`` for the series record — plus an +LLM-friendly CLI (``fredq --help``) that prints raw FRED JSON. +""" from __future__ import annotations +import importlib +from typing import TYPE_CHECKING, Any + # __version__ is derived from the git tag by hatch-vcs and written to # _version.py at build/install time (see pyproject.toml [tool.hatch.version]). from fredq._version import __version__ +from fredq.exceptions import ( + FredApiError, + FredApiKeyMissingError, + FredClientUsageError, + FredqError, + FredRequestError, + FredUnavailableError, +) + +if TYPE_CHECKING: + # Real imports for type checkers only; at runtime these resolve lazily + # via __getattr__ below so importing the fredq package (which the CLI + # does by virtue of fredq.cli being a submodule) never pays the polars + # import cost. Keep this block in manual parity with __all__ and + # __getattr__'s routing (test_all_names_are_importable is the gate). + from fredq.api import ( + Category, + Release, + Series, + Source, + configure, + raw, + related_tags, + release_calendar, + releases, + search_series, + search_series_related_tags, + search_series_tags, + series_updates, + sources, + tag_series, + tags, + ) + from fredq.frames import Frame, FrameShapeError, Observations + + +def __getattr__(name: str) -> Any: # noqa: ANN401 - PEP 562 module __getattr__ + """Lazily import heavy public names on first access (PEP 562). + + Returns: + Any: The resolved attribute, also cached on the module for reuse. + + Raises: + AttributeError: If ``name`` is not a lazily-exported attribute. + """ + + frames_names = {"Frame", "FrameShapeError", "Observations"} + lazy_names = set(__all__) - set(globals()) + if name in frames_names: + module_name = "fredq.frames" + elif name in lazy_names: + module_name = "fredq.api" + else: + message = f"module {__name__!r} has no attribute {name!r}" + raise AttributeError(message) + module = importlib.import_module(module_name) + value = getattr(module, name) + globals()[name] = value + return value + + +def __dir__() -> list[str]: + """List the public surface plus dunders, hiding internal imports. + + Returns: + list[str]: Sorted attributes for dir() and tab completion. + """ + + return sorted(set(__all__) | {name for name in globals() if name.startswith("__")}) + -__all__ = ["__version__"] +__all__ = [ + "Category", + "Frame", + "FrameShapeError", + "FredApiError", + "FredApiKeyMissingError", + "FredClientUsageError", + "FredRequestError", + "FredUnavailableError", + "FredqError", + "Observations", + "Release", + "Series", + "Source", + "__version__", + "configure", + "raw", + "related_tags", + "release_calendar", + "releases", + "search_series", + "search_series_related_tags", + "search_series_tags", + "series_updates", + "sources", + "tag_series", + "tags", +] diff --git a/src/fredq/_bridge.py b/src/fredq/_bridge.py new file mode 100644 index 0000000..a3ffe08 --- /dev/null +++ b/src/fredq/_bridge.py @@ -0,0 +1,63 @@ +"""Run library coroutines on a dedicated background event loop. + +The public sync API is a thin facade over async core functions. Those +coroutines run on one lazily-started daemon thread, which keeps the sync +surface usable inside environments that already run an event loop +(notebooks, agent runtimes) where a naive asyncio.run() would raise. +""" + +from __future__ import annotations + +import asyncio +import concurrent.futures +import threading +from typing import TYPE_CHECKING, TypeVar + +if TYPE_CHECKING: + from collections.abc import Coroutine + from typing import Any + +_T = TypeVar("_T") + +_lock = threading.Lock() +_loop: asyncio.AbstractEventLoop | None = None + + +def _ensure_loop() -> asyncio.AbstractEventLoop: + global _loop # noqa: PLW0603 - module-level singleton by design + with _lock: + if _loop is not None and not _loop.is_closed(): + return _loop + loop = asyncio.new_event_loop() + thread = threading.Thread( + target=loop.run_forever, name="fredq-bridge", daemon=True + ) + thread.start() + _loop = loop + return loop + + +def run(coro: Coroutine[Any, Any, _T], *, timeout: float | None = None) -> _T: + """Execute ``coro`` on the bridge loop and return its result. + + ``timeout=None`` (the default) waits forever. With a bounded + ``timeout``, the wait cannot hang if the daemon loop thread has + already died (e.g. during interpreter exit); the coroutine is + cancelled best-effort before the timeout propagates. + + Returns: + _T: Whatever the coroutine returns. + + Raises: + concurrent.futures.TimeoutError: If the result is not available + within ``timeout`` seconds. (An alias of the builtin + ``TimeoutError`` on Python 3.11+; a distinct ``Exception`` + subclass on 3.10.) + """ + + future = asyncio.run_coroutine_threadsafe(coro, _ensure_loop()) + try: + return future.result(timeout) + except concurrent.futures.TimeoutError: + future.cancel() + raise diff --git a/src/fredq/_core.py b/src/fredq/_core.py new file mode 100644 index 0000000..1fd583d --- /dev/null +++ b/src/fredq/_core.py @@ -0,0 +1,307 @@ +"""Async endpoint core: shared client, param building, error contract.""" + +from __future__ import annotations + +import atexit +import concurrent.futures +import contextlib +import json +import threading +from datetime import date, datetime +from typing import TYPE_CHECKING, Any, Final, cast + +from fredq._bridge import run +from fredq.auth import resolve_api_key +from fredq.client import FredClient +from fredq.commands import COMMANDS_BY_NAME +from fredq.exceptions import FredApiError, FredClientUsageError, FredRequestError +from fredq.params import ParamKind, coerce_param, enforce_cross_param_rules + +if TYPE_CHECKING: + from collections.abc import Mapping + + import httpx2 as httpx + + from fredq.types import ParamValue + + +def _as_object_dict(value: object) -> dict[str, Any] | None: + """Narrow an arbitrary JSON value to a string-keyed dict, if it is one. + + Returns: + dict[str, Any] | None: The value, re-typed, or None if not a dict. + """ + + if not isinstance(value, dict): + return None + return cast("dict[str, Any]", value) + + +def _fred_error_shape(payload: object) -> tuple[int, str] | None: + """Extract FRED's error shape from a parsed body, if present. + + The shape is ``{"error_code": , "error_message": }`` — both + keys required (corpus evidence: every captured FRED error carries + both). Anything else is not a FRED API error. + + Returns: + tuple[int, str] | None: (error_code, error_message), or None. + """ + + payload_dict = _as_object_dict(payload) + if payload_dict is None: + return None + code = payload_dict.get("error_code") + message = payload_dict.get("error_message") + if isinstance(code, int) and isinstance(message, str): + return code, message + return None + + +def map_http_error(exc: FredRequestError) -> None: + """Translate an HTTP-level rejection into the library error contract. + + Always raises: ``FredApiError`` when the body carries FRED's error + shape, otherwise the original ``FredRequestError`` (a generic gateway + error is not an API error — mapping is by status + shape, never + wording). + + Raises: + FredApiError: If the body matches FRED's error shape. + """ + + if exc.body: + try: + payload: object = json.loads(exc.body) + except json.JSONDecodeError: + payload = None + shape = _fred_error_shape(payload) + if shape is not None: + code, message = shape + raise FredApiError( + error_message=message, + error_code=code, + status_code=exc.status_code, + ) from exc + raise exc + + +def interpret_body(body: str) -> dict[str, Any]: + """Parse a FRED 200 body per the malformed-response contract. + + FRED never envelopes errors inside 200 responses (errors are HTTP + 4xx/5xx; empty result lists are values) — so a 200 only needs to be a + valid JSON object. + + Returns: + dict[str, Any]: The full parsed payload. + + Raises: + FredApiError: If the body is not valid JSON or not a JSON object + (``error_code=None`` marks the malformed-response contract). + """ + + try: + payload = json.loads(body) + except json.JSONDecodeError as exc: + message = f"FRED response is not valid JSON: {exc}" + raise FredApiError(error_message=message) from exc + payload_dict = _as_object_dict(payload) + if payload_dict is None: + message = "FRED response is not a JSON object" + raise FredApiError(error_message=message) + return payload_dict + + +_client: FredClient | None = None +_client_options: dict[str, Any] = {} +_client_lock = threading.Lock() + +_CLOSE_TIMEOUT_SECONDS: Final[float] = 2.0 + + +def configure( + *, + api_key: str | None = None, + timeout: httpx.Timeout | None = None, +) -> None: + """Set options for the library's shared FRED client. + + Must be called before the first data call; raises RuntimeError after. + When ``api_key`` is None, the key resolves like the CLI's: the + ``FRED_API_KEY`` environment variable, then ``~/.fredq/api_key``. + + Each call replaces the *entire* option set, not just the kwargs you + pass: any kwarg you omit reverts to its default, even if a previous + call set it explicitly. Prefer a single ``configure()`` call. + + Raises: + RuntimeError: If the shared client has already been created. + """ + + with _client_lock: + if _client is not None: + message = "configure() must be called before the first fredq call" + raise RuntimeError(message) + _client_options.clear() + _client_options.update(api_key=api_key, timeout=timeout) + + +def _get_client() -> FredClient: + global _client # noqa: PLW0603 - module singleton by design + with _client_lock: + if _client is None: + api_key = _client_options.get("api_key") or resolve_api_key() + _client = FredClient(api_key, timeout=_client_options.get("timeout")) + return _client + + +def _reset_for_tests() -> None: # pyright: ignore[reportUnusedFunction] + """Drop the shared client so tests can reconfigure. Test-only.""" + + global _client # noqa: PLW0603 - module singleton by design + with _client_lock: + if _client is not None: + with contextlib.suppress(Exception): + run(_client.aclose(), timeout=_CLOSE_TIMEOUT_SECONDS) + _client = None + _client_options.clear() + + +def _close_default_client() -> None: + """Best-effort aclose of the shared client at interpreter exit. + + The wait is bounded: at interpreter exit the bridge's daemon loop + thread may already be dead, and an unbounded wait would hang forever + (this exact hang shipped once in the reference implementation). + """ + + if _client is not None: + with contextlib.suppress(Exception, concurrent.futures.TimeoutError): + run(_client.aclose(), timeout=_CLOSE_TIMEOUT_SECONDS) + + +atexit.register(_close_default_client) + + +def _stringify(value: object) -> str: + """Render a typed Python value exactly as a CLI user would spell it. + + Lists/tuples join on "," — the separator ``_coerce_csv_param`` SPLITS + on — so per-item validation tokenizes correctly; coercion then owns + the re-join to the wire separator (e.g. ";"). Joining on the wire + separator here would bypass item validation entirely (review catch). + + Returns: + str: The CLI-equivalent spelling of ``value``. + + Raises: + FredClientUsageError: If the value's type has no CLI equivalent. + """ + + if isinstance(value, bool): + # _build_params only intercepts bools for BOOLEAN-kind params, so a + # bool reaching here is a type-confusion on a non-boolean param + # (e.g. limit=True). Emit lowercase so coercion then rejects it the + # same way the CLI rejects `--limit true`. Do NOT delete — bool + # subclasses int, so falling through would spell "True"/"False". + return "true" if value else "false" + if isinstance(value, datetime | date): + return value.isoformat() + if isinstance(value, list | tuple): + items = cast("list[object] | tuple[object, ...]", value) + return ",".join(str(item) for item in items) + if isinstance(value, int | float | str): + return str(value) + message = f"unsupported parameter value type: {type(value).__name__}" + raise FredClientUsageError(message) + + +def _build_params( + command_name: str, values: Mapping[str, object] +) -> dict[str, ParamValue]: + """Validate typed values against the CommandSpec; return wire params. + + Reuses the CLI's own coercion (``coerce_param``) and cross-parameter + rules so the library sends exactly what an equivalent CLI invocation + would send. + + Returns: + dict[str, ParamValue]: Validated wire parameters. + + Raises: + FredClientUsageError: For unknown parameters, missing required + parameters, invalid values, or cross-parameter violations. + """ + + command = COMMANDS_BY_NAME[command_name] + specs = {spec.name: spec for spec in command.params} + + unknown = set(values) - set(specs) + if unknown: + names = ", ".join(sorted(unknown)) + message = f"unknown parameter(s) for {command_name}: {names}" + raise FredClientUsageError(message) + + provided = {name: v for name, v in values.items() if v is not None} + missing = [ + spec.name + for spec in command.params + if spec.required and spec.name not in provided + ] + if missing: + names = ", ".join(missing) + message = f"{command_name} is missing required parameter(s): {names}" + raise FredClientUsageError(message) + + params: dict[str, ParamValue] = {} + for name, value in provided.items(): + spec = specs[name] + if spec.kind is ParamKind.BOOLEAN and isinstance(value, bool): + # FRED requires lowercase 'true'/'false', not Python's + # 'True'/'False' — mirrors the CLI's own bool handling + # (cli.py:_collect_params), which bypasses coerce_param. + # Gated on the BOOLEAN kind: unlike argparse (which only yields + # a bool for a boolean flag), a library caller can pass a bool + # to any param, and `limit=True` must reach coercion and be + # rejected — not silently serialized as `limit=true`. + params[name] = "true" if value else "false" + continue + text = _stringify(value) + try: + params[name] = coerce_param(spec, text) + except ValueError as exc: + raise FredClientUsageError(str(exc)) from exc + + rule_error = enforce_cross_param_rules(command, params) + if rule_error is not None: + raise FredClientUsageError(rule_error) + return params + + +async def call_endpoint( + command_name: str, *, values: Mapping[str, object] +) -> dict[str, Any]: + """Call one FRED endpoint with typed values; return the parsed payload. + + FRED-reported errors are translated per the library error contract + (:func:`map_http_error`); an HTTP failure without FRED's error shape + propagates unchanged. + + Returns: + dict[str, Any]: The full parsed response payload. + + Raises: + FredRequestError: If the HTTP failure carries no mappable payload + (see :func:`map_http_error`). + """ + + command = COMMANDS_BY_NAME[command_name] + params = _build_params(command_name, values) + client = _get_client() + try: + body = await client.get(command.path, params) + except FredRequestError as exc: + map_http_error(exc) + raise # unreachable; map_http_error always raises + return interpret_body(body) diff --git a/src/fredq/api.py b/src/fredq/api.py new file mode 100644 index 0000000..3161f6e --- /dev/null +++ b/src/fredq/api.py @@ -0,0 +1,1133 @@ +"""Public synchronous fredq API. + +Every method/function performs one HTTP call and returns a corpus-gated +pydantic model (see :mod:`fredq.models`), except ``Series.observations`` +which returns a typed :class:`~fredq.frames.Observations` frame and +``raw()`` which returns the parsed payload as a plain dict. Kwargs mirror +FRED wire parameter names exactly as the CLI's command metadata spells +them. +""" + +from __future__ import annotations + +from datetime import datetime, timezone +from typing import TYPE_CHECKING, Any, TypeAlias, cast + +from fredq import _core +from fredq._bridge import run +from fredq._core import configure # re-exported via fredq.__init__ +from fredq.commands import COMMANDS_BY_NAME +from fredq.exceptions import FredApiError, FredClientUsageError +from fredq.frames import Observations, build_observations +from fredq.models import ( + CategoriesResult, + CategoryInfo, + ReleaseDatesResult, + ReleaseInfo, + ReleaseSourcesResult, + ReleasesResult, + ReleaseTablesResult, + SeriesInfo, + SeriesListResult, + SourceInfo, + SourcesResult, + TagsResult, + VintageDatesResult, +) + +if TYPE_CHECKING: + from datetime import date + +DateLike: TypeAlias = "str | date | datetime" + +__all__ = [ + "Category", + "DateLike", + "Release", + "Series", + "Source", + "configure", + "raw", + "related_tags", + "release_calendar", + "releases", + "search_series", + "search_series_related_tags", + "search_series_tags", + "series_updates", + "sources", + "tag_series", + "tags", +] + + +def _values(**kwargs: object) -> dict[str, object]: + """Drop unset (None) kwargs; keys are wire param names. + + Returns: + dict[str, object]: The present (non-None) keyword arguments. + """ + + return {key: value for key, value in kwargs.items() if value is not None} + + +def _call(command_name: str, values: dict[str, object]) -> dict[str, Any]: + """Run one endpoint call on the bridge. + + Returns: + dict[str, Any]: The parsed payload. + """ + + return run(_core.call_endpoint(command_name, values=values)) + + +def _now_utc() -> datetime: + return datetime.now(timezone.utc) + + +def _unwrap_single(payload: dict[str, Any], key: str) -> dict[str, Any]: + """Unwrap FRED's one-element entity list; malformed contract on violation. + + Single-entity endpoints (series show, category show, ...) answer with + a one-element list under their plural key. Corpus evidence: always + exactly one element on success (bad ids fail earlier as FRED 400s). + + Returns: + dict[str, Any]: The single entity record. + + Raises: + FredApiError: If ``key`` is missing or has != 1 element + (``error_code=None`` marks the malformed-response contract). + """ + + raw_records = payload.get(key) + if not isinstance(raw_records, list): + message = f"expected exactly one {key!r} record, got no list" + raise FredApiError(error_message=message) + records = cast("list[object]", raw_records) + if len(records) != 1: + message = f"expected exactly one {key!r} record, got {len(records)}" + raise FredApiError(error_message=message) + record = records[0] + if not isinstance(record, dict): + message = f"{key!r} record is not an object" + raise FredApiError(error_message=message) + return cast("dict[str, Any]", record) + + +class Series: + """A FRED series, addressed by its series-ID string (e.g. "DGS10").""" + + def __init__(self, series_id: str) -> None: + """Bind a series ID for subsequent calls.""" + + self.series_id = series_id.strip() + + def __repr__(self) -> str: + """Return an eval-able repr naming the class and id. + + Returns: + str: The repr string. + """ + + return f"Series({self.series_id!r})" + + def info( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + ) -> SeriesInfo: + """Fetch the series record (title, units, frequency, ...). + + Returns: + SeriesInfo: The corpus-gated series record. + """ + + payload = _call( + "series", + _values( + series_id=self.series_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + ), + ) + return SeriesInfo.model_validate(_unwrap_single(payload, "seriess")) + + def observations( # noqa: PLR0913 - one keyword-only arg per wire param. + self, + *, + observation_start: DateLike | None = None, + observation_end: DateLike | None = None, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + units: str | None = None, + frequency: str | None = None, + ) -> Observations: + """Fetch observations (values) for this series. + + Returns: + Observations: Rows as polars columns, envelope as ``meta``. + """ + + payload = _call( + "series-observations", + _values( + series_id=self.series_id, + observation_start=observation_start, + observation_end=observation_end, + realtime_start=realtime_start, + realtime_end=realtime_end, + units=units, + frequency=frequency, + ), + ) + return build_observations(payload, fetched_at=_now_utc()) + + def vintage_dates( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + sort_order: str | None = None, + ) -> VintageDatesResult: + """List vintage dates (revision dates) for this series. + + Returns: + VintageDatesResult: The paginated vintage dates. + """ + + payload = _call( + "series-vintagedates", + _values( + series_id=self.series_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + sort_order=sort_order, + ), + ) + return VintageDatesResult.model_validate(payload) + + def categories( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + ) -> CategoriesResult: + """List categories that contain this series. + + Returns: + CategoriesResult: The category list. + """ + + payload = _call( + "series-categories", + _values( + series_id=self.series_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + ), + ) + return CategoriesResult.model_validate(payload) + + def tags( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + order_by: str | None = None, + sort_order: str | None = None, + ) -> TagsResult: + """List tags assigned to this series. + + Returns: + TagsResult: The paginated tag list. + """ + + payload = _call( + "series-tags", + _values( + series_id=self.series_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + order_by=order_by, + sort_order=sort_order, + ), + ) + return TagsResult.model_validate(payload) + + def release( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + ) -> ReleaseInfo: + """Show the release that this series belongs to. + + Returns: + ReleaseInfo: The corpus-gated release record. + """ + + payload = _call( + "series-release", + _values( + series_id=self.series_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + ), + ) + return ReleaseInfo.model_validate(_unwrap_single(payload, "releases")) + + +class Category: + """A FRED category, addressed by its integer ID (the tree root is 0).""" + + def __init__(self, category_id: int) -> None: + """Bind a category ID for subsequent calls.""" + + self.category_id = category_id + + def __repr__(self) -> str: + """Return an eval-able repr naming the class and id. + + Returns: + str: The repr string. + """ + + return f"Category({self.category_id!r})" + + def info(self) -> CategoryInfo: + """Fetch the category record (name, parent ID). + + FRED's category endpoint takes no realtime parameters, unlike the + other entity ``info()`` methods — the zero-argument signature is + deliberate, not an omission. + + Returns: + CategoryInfo: The corpus-gated category record. + """ + + payload = _call("category", _values(category_id=self.category_id)) + return CategoryInfo.model_validate(_unwrap_single(payload, "categories")) + + def children( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + ) -> CategoriesResult: + """List direct child categories of this category. + + Returns: + CategoriesResult: The category list. + """ + + payload = _call( + "category-children", + _values( + category_id=self.category_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + ), + ) + return CategoriesResult.model_validate(payload) + + def related( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + ) -> CategoriesResult: + """List categories related to this category. + + Returns: + CategoriesResult: The category list. + """ + + payload = _call( + "category-related", + _values( + category_id=self.category_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + ), + ) + return CategoriesResult.model_validate(payload) + + def series( # noqa: PLR0913 - one keyword-only arg per wire param. + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, + filter_variable: str | None = None, + filter_value: str | None = None, + tag_names: list[str] | str | None = None, + exclude_tag_names: list[str] | str | None = None, + ) -> SeriesListResult: + """List series belonging to this category. + + Returns: + SeriesListResult: The paginated series list. + """ + + payload = _call( + "category-series", + _values( + category_id=self.category_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + filter_variable=filter_variable, + filter_value=filter_value, + tag_names=tag_names, + exclude_tag_names=exclude_tag_names, + ), + ) + return SeriesListResult.model_validate(payload) + + def tags( # noqa: PLR0913 - one keyword-only arg per wire param. + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + tag_names: list[str] | str | None = None, + tag_group_id: str | None = None, + search_text: str | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, + ) -> TagsResult: + """List tags for series in this category. + + Returns: + TagsResult: The paginated tag list. + """ + + payload = _call( + "category-tags", + _values( + category_id=self.category_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + tag_names=tag_names, + tag_group_id=tag_group_id, + search_text=search_text, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return TagsResult.model_validate(payload) + + def related_tags( # noqa: PLR0913 - one keyword-only arg per wire param. + self, + tag_names: list[str] | str, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + tag_group_id: str | None = None, + search_text: str | None = None, + exclude_tag_names: list[str] | str | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, + ) -> TagsResult: + """List tags related to this category and an existing tag filter. + + Returns: + TagsResult: The paginated tag list. + """ + + payload = _call( + "category-related-tags", + _values( + category_id=self.category_id, + tag_names=tag_names, + realtime_start=realtime_start, + realtime_end=realtime_end, + tag_group_id=tag_group_id, + search_text=search_text, + exclude_tag_names=exclude_tag_names, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return TagsResult.model_validate(payload) + + +class Release: + """A FRED release, addressed by its integer ID (e.g. 53 = GDP).""" + + def __init__(self, release_id: int) -> None: + """Bind a release ID for subsequent calls.""" + + self.release_id = release_id + + def __repr__(self) -> str: + """Return an eval-able repr naming the class and id. + + Returns: + str: The repr string. + """ + + return f"Release({self.release_id!r})" + + def info( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + ) -> ReleaseInfo: + """Fetch the release record (name, press-release flag, links). + + Returns: + ReleaseInfo: The corpus-gated release record. + """ + + payload = _call( + "release", + _values( + release_id=self.release_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + ), + ) + return ReleaseInfo.model_validate(_unwrap_single(payload, "releases")) + + def dates( # noqa: PLR0913 - one keyword-only arg per wire param. + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + sort_order: str | None = None, + include_release_dates_with_no_data: bool | None = None, + ) -> ReleaseDatesResult: + """List publication dates for this release. + + Returns: + ReleaseDatesResult: The paginated release dates. + """ + + payload = _call( + "release-dates", + _values( + release_id=self.release_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + sort_order=sort_order, + include_release_dates_with_no_data=include_release_dates_with_no_data, + ), + ) + return ReleaseDatesResult.model_validate(payload) + + def series( # noqa: PLR0913 - one keyword-only arg per wire param. + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, + filter_variable: str | None = None, + filter_value: str | None = None, + tag_names: list[str] | str | None = None, + exclude_tag_names: list[str] | str | None = None, + ) -> SeriesListResult: + """List series belonging to this release. + + Returns: + SeriesListResult: The paginated series list. + """ + + payload = _call( + "release-series", + _values( + release_id=self.release_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + filter_variable=filter_variable, + filter_value=filter_value, + tag_names=tag_names, + exclude_tag_names=exclude_tag_names, + ), + ) + return SeriesListResult.model_validate(payload) + + def sources( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + ) -> ReleaseSourcesResult: + """List sources for this release. + + Returns: + ReleaseSourcesResult: The sources for this release. + """ + + payload = _call( + "release-sources", + _values( + release_id=self.release_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + ), + ) + return ReleaseSourcesResult.model_validate(payload) + + def tags( # noqa: PLR0913 - one keyword-only arg per wire param. + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + tag_names: list[str] | str | None = None, + tag_group_id: str | None = None, + search_text: str | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, + ) -> TagsResult: + """List tags for this release. + + Returns: + TagsResult: The paginated tag list. + """ + + payload = _call( + "release-tags", + _values( + release_id=self.release_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + tag_names=tag_names, + tag_group_id=tag_group_id, + search_text=search_text, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return TagsResult.model_validate(payload) + + def related_tags( # noqa: PLR0913 - one keyword-only arg per wire param. + self, + tag_names: list[str] | str, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + tag_group_id: str | None = None, + search_text: str | None = None, + exclude_tag_names: list[str] | str | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, + ) -> TagsResult: + """List tags related to this release and an existing tag filter. + + Returns: + TagsResult: The paginated tag list. + """ + + payload = _call( + "release-related-tags", + _values( + release_id=self.release_id, + tag_names=tag_names, + realtime_start=realtime_start, + realtime_end=realtime_end, + tag_group_id=tag_group_id, + search_text=search_text, + exclude_tag_names=exclude_tag_names, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return TagsResult.model_validate(payload) + + def tables( + self, + *, + element_id: int | None = None, + include_observation_values: bool | None = None, + observation_date: DateLike | None = None, + ) -> ReleaseTablesResult: + """Fetch the hierarchical data table for this release. + + Returns: + ReleaseTablesResult: The release table tree. + """ + + payload = _call( + "release-tables", + _values( + release_id=self.release_id, + element_id=element_id, + include_observation_values=include_observation_values, + observation_date=observation_date, + ), + ) + return ReleaseTablesResult.model_validate(payload) + + +class Source: + """A FRED source, addressed by its integer ID (e.g. 1 = Board of Governors).""" + + def __init__(self, source_id: int) -> None: + """Bind a source ID for subsequent calls.""" + + self.source_id = source_id + + def __repr__(self) -> str: + """Return an eval-able repr naming the class and id. + + Returns: + str: The repr string. + """ + + return f"Source({self.source_id!r})" + + def info( + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + ) -> SourceInfo: + """Fetch the source record (name, link). + + Returns: + SourceInfo: The corpus-gated source record. + """ + + payload = _call( + "source", + _values( + source_id=self.source_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + ), + ) + return SourceInfo.model_validate(_unwrap_single(payload, "sources")) + + def releases( # noqa: PLR0913 - one keyword-only arg per wire param. + self, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, + ) -> ReleasesResult: + """List releases published by this source. + + Returns: + ReleasesResult: The paginated release list. + """ + + payload = _call( + "source-releases", + _values( + source_id=self.source_id, + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return ReleasesResult.model_validate(payload) + + +def search_series( # noqa: PLR0913 - one keyword-only arg per wire param. + search_text: str, + *, + search_type: str | None = None, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, + filter_variable: str | None = None, + filter_value: str | None = None, + tag_names: list[str] | str | None = None, + exclude_tag_names: list[str] | str | None = None, +) -> SeriesListResult: + """Search FRED series by keyword. + + Returns: + SeriesListResult: The paginated series list. + """ + + payload = _call( + "series-search", + _values( + search_text=search_text, + search_type=search_type, + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + filter_variable=filter_variable, + filter_value=filter_value, + tag_names=tag_names, + exclude_tag_names=exclude_tag_names, + ), + ) + return SeriesListResult.model_validate(payload) + + +def search_series_tags( # noqa: PLR0913 - one keyword-only arg per wire param. + series_search_text: str, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + tag_names: list[str] | str | None = None, + tag_group_id: str | None = None, + tag_search_text: str | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, +) -> TagsResult: + """List tags for a series full-text search. + + Returns: + TagsResult: The paginated tag list. + """ + + payload = _call( + "series-search-tags", + _values( + series_search_text=series_search_text, + realtime_start=realtime_start, + realtime_end=realtime_end, + tag_names=tag_names, + tag_group_id=tag_group_id, + tag_search_text=tag_search_text, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return TagsResult.model_validate(payload) + + +def search_series_related_tags( # noqa: PLR0913 - one keyword-only arg per wire param. + series_search_text: str, + tag_names: list[str] | str, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + tag_group_id: str | None = None, + tag_search_text: str | None = None, + exclude_tag_names: list[str] | str | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, +) -> TagsResult: + """List tags related to a search and existing tag filter. + + Returns: + TagsResult: The paginated tag list. + """ + + payload = _call( + "series-search-related-tags", + _values( + series_search_text=series_search_text, + tag_names=tag_names, + realtime_start=realtime_start, + realtime_end=realtime_end, + tag_group_id=tag_group_id, + tag_search_text=tag_search_text, + exclude_tag_names=exclude_tag_names, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return TagsResult.model_validate(payload) + + +def series_updates( # noqa: PLR0913 - one keyword-only arg per wire param. + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + filter_value: str | None = None, + start_time: str | None = None, + end_time: str | None = None, +) -> SeriesListResult: + """List recently updated FRED series. + + ``start_time``/``end_time`` use FRED's compact ``YYYYMMDDHhmm`` format + (e.g. ``"202401011200"``), not ISO dates. + + Returns: + SeriesListResult: The paginated series list. + """ + + payload = _call( + "series-updates", + _values( + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + filter_value=filter_value, + start_time=start_time, + end_time=end_time, + ), + ) + return SeriesListResult.model_validate(payload) + + +def releases( # noqa: PLR0913 - one keyword-only arg per wire param. + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, +) -> ReleasesResult: + """List all FRED economic data releases. + + Returns: + ReleasesResult: The paginated release list. + """ + + payload = _call( + "releases", + _values( + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return ReleasesResult.model_validate(payload) + + +def release_calendar( # noqa: PLR0913 - one keyword-only arg per wire param. + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, + include_release_dates_with_no_data: bool | None = None, +) -> ReleaseDatesResult: + """List release dates across all FRED releases. + + Returns: + ReleaseDatesResult: The paginated release dates. + """ + + payload = _call( + "releases-dates", + _values( + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + include_release_dates_with_no_data=include_release_dates_with_no_data, + ), + ) + return ReleaseDatesResult.model_validate(payload) + + +def sources( # noqa: PLR0913 - one keyword-only arg per wire param. + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, +) -> SourcesResult: + """List all FRED data sources. + + Returns: + SourcesResult: The paginated source list. + """ + + payload = _call( + "sources", + _values( + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return SourcesResult.model_validate(payload) + + +def tags( # noqa: PLR0913 - one keyword-only arg per wire param. + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + tag_names: list[str] | str | None = None, + tag_group_id: str | None = None, + search_text: str | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, +) -> TagsResult: + """List all FRED tags. + + Returns: + TagsResult: The paginated tag list. + """ + + payload = _call( + "tags", + _values( + realtime_start=realtime_start, + realtime_end=realtime_end, + tag_names=tag_names, + tag_group_id=tag_group_id, + search_text=search_text, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return TagsResult.model_validate(payload) + + +def tag_series( # noqa: PLR0913 - one keyword-only arg per wire param. + tag_names: list[str] | str, + *, + exclude_tag_names: list[str] | str | None = None, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, +) -> SeriesListResult: + """List series matching a set of FRED tags. + + Returns: + SeriesListResult: The paginated series list. + """ + + payload = _call( + "tags-series", + _values( + tag_names=tag_names, + exclude_tag_names=exclude_tag_names, + realtime_start=realtime_start, + realtime_end=realtime_end, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return SeriesListResult.model_validate(payload) + + +def related_tags( # noqa: PLR0913 - one keyword-only arg per wire param. + tag_names: list[str] | str, + *, + realtime_start: DateLike | None = None, + realtime_end: DateLike | None = None, + tag_group_id: str | None = None, + search_text: str | None = None, + exclude_tag_names: list[str] | str | None = None, + limit: int | None = None, + offset: int | None = None, + order_by: str | None = None, + sort_order: str | None = None, +) -> TagsResult: + """List tags related to an existing tag filter. + + Returns: + TagsResult: The paginated tag list. + """ + + payload = _call( + "related-tags", + _values( + tag_names=tag_names, + realtime_start=realtime_start, + realtime_end=realtime_end, + tag_group_id=tag_group_id, + search_text=search_text, + exclude_tag_names=exclude_tag_names, + limit=limit, + offset=offset, + order_by=order_by, + sort_order=sort_order, + ), + ) + return TagsResult.model_validate(payload) + + +def raw(command: str, **params: object) -> dict[str, Any]: + """Call any fredq command by name; return the parsed payload. + + The escape hatch: reaches every command the CLI knows. Parameters are + validated exactly like every other library call. + + Returns: + dict[str, Any]: The full parsed payload. + + Raises: + FredClientUsageError: If ``command`` is not a known command name. + """ + + if command not in COMMANDS_BY_NAME: + message = f"unknown command: {command!r}" + raise FredClientUsageError(message) + return _call(command, dict(params)) diff --git a/src/fredq/cli.py b/src/fredq/cli.py index 90adbbe..6b70189 100644 --- a/src/fredq/cli.py +++ b/src/fredq/cli.py @@ -18,10 +18,16 @@ from fredq.client import FredClient from fredq.commands import COMMANDS, COMMANDS_BY_NAME, GROUP_HELP, CommandSpec from fredq.exceptions import FredqError -from fredq.params import ParamKind, ParamSpec, coerce_param, parse_boolean +from fredq.params import ( + ParamKind, + ParamSpec, + coerce_param, + enforce_cross_param_rules, + parse_boolean, +) if TYPE_CHECKING: - from collections.abc import Mapping, Sequence + from collections.abc import Sequence from fredq.types import ParamValue @@ -277,27 +283,11 @@ def _add_parquet_negative_guards(parser: argparse.ArgumentParser) -> None: parser.set_defaults(_parquet_unsupported=True) -def _add_body_to_file_out_option(parser: argparse.ArgumentParser) -> None: - """Register required ``--out PATH`` on a body-to-file command.""" - - parser.add_argument( - "--out", - dest="out_path", - type=Path, - required=True, - metavar="PATH", - help="Destination file for the response body. Required.", - ) - parser.set_defaults(_body_to_file=True) - - def _set_command_parser(parser: argparse.ArgumentParser, command: CommandSpec) -> None: for param in command.params: _add_command_param(parser, param) parser.set_defaults(command_name=command.name) - if command.output_to_file: - _add_body_to_file_out_option(parser) - elif command.name in _PARQUET_COMMANDS: + if command.name in _PARQUET_COMMANDS: _add_parquet_output_options(parser) else: _add_parquet_negative_guards(parser) @@ -312,7 +302,7 @@ def _build_parser_impl() -> tuple[argparse.ArgumentParser, _GroupParsers]: Returns: tuple: ``(root_parser, group_parsers)`` where ``group_parsers`` maps - each group name (e.g. ``"geofred"``) to its + each group name (e.g. ``"series"``) to its :class:`argparse.ArgumentParser` so callers can print group-scoped help when the user stops at the group level. """ @@ -386,7 +376,7 @@ def build_parser() -> argparse.ArgumentParser: """Build fredq's argument parser. Flat commands (``group=None``) are added directly to the root subparser. - Grouped commands (``group="geofred"``, etc.) are nested one level deeper: + Grouped commands (``group="series"``, etc.) are nested one level deeper: the group name becomes a top-level subcommand whose own subparsers hold the individual commands. Routing still works by ``command_name`` (the globally unique ``CommandSpec.name``) so ``_dispatch_command`` is @@ -417,49 +407,6 @@ def _collect_params( return collected -def _enforce_cross_param_rules( - command: CommandSpec, params: Mapping[str, object] -) -> str | None: - """Validate cross-parameter dependency rules on a collected param dict. - - Checks three rule types stored on :class:`CommandSpec`: - - * ``mutually_dependent_params``: every frozenset must be either entirely - absent or entirely present. A partial set is an error. - * ``at_least_one_of``: every frozenset must have at least one member - present. - * ``requires_partner``: if the first element of a pair is present, the - second must also be present. - - Returns: - str | None: An error message when any rule is violated, or ``None`` - when all rules pass. - """ - - present = set(params) - - for group in command.mutually_dependent_params: - found = group & present - if found and found != group: - missing = group - found - missing_opts = " ".join(f"--{n.replace('_', '-')}" for n in sorted(missing)) - found_opts = " ".join(f"--{n.replace('_', '-')}" for n in sorted(found)) - return f"{found_opts} requires {missing_opts} to also be supplied." - - for group in command.at_least_one_of: - if not (group & present): - opts = " or ".join(f"--{n.replace('_', '-')}" for n in sorted(group)) - return f"at least one of {opts} is required." - - for needy, required in command.requires_partner: - if needy in present and required not in present: - needy_opt = f"--{needy.replace('_', '-')}" - required_opt = f"--{required.replace('_', '-')}" - return f"{needy_opt} requires {required_opt} to also be supplied." - - return None - - def _enforce_parquet_arg_pairing(args: argparse.Namespace) -> str | None: """Validate ``--format`` / ``--out`` pairing. @@ -525,56 +472,6 @@ def _handle_parquet_output( out.write("\n") -class _WriteBodyError(FredqError): - """Raised when the response body cannot be written to the destination file. - - Wraps OS-level errors (FileNotFoundError, PermissionError, disk full, …) - so the CLI can surface a clean stderr message and exit 1 instead of letting - an unhandled exception propagate. The parent directory is intentionally - *not* created automatically — creating directories without an explicit flag - would be surprising behavior for a CLI tool. - """ - - def __init__(self, path: Path, cause: OSError) -> None: - """Initialize the write error.""" - - super().__init__(f"failed to write {path}: {cause}") - self.path = path - self.cause = cause - - -def _write_body_to_file( - args: argparse.Namespace, - body: str, - command: CommandSpec, - out: TextIO, -) -> None: - """Write ``body`` verbatim to ``args.out_path`` and emit a descriptor to ``out``. - - The descriptor JSON has keys ``command``, ``out``, and ``bytes``. - - Raises: - _WriteBodyError: When the OS rejects the write (missing parent - directory, permission denied, disk full, etc.). The parent - directory is never auto-created; pass an existing directory or - create it beforehand. - """ - - out_path: Path = args.out_path - encoded = body.encode("utf-8") - try: - out_path.write_bytes(encoded) - except OSError as exc: - raise _WriteBodyError(out_path, exc) from exc - descriptor = { - "command": command.name, - "out": str(out_path), - "bytes": len(encoded), - } - out.write(json.dumps(descriptor, separators=(",", ":"))) - out.write("\n") - - def _optional_str(value: object) -> str | None: if value is None: return None @@ -603,7 +500,7 @@ def _write_json_body(body: str, out: TextIO) -> None: out.write("\n") -def _dispatch_command( # noqa: PLR0911 +def _dispatch_command( args: argparse.Namespace, command: CommandSpec, out: TextIO, @@ -632,7 +529,7 @@ def _dispatch_command( # noqa: PLR0911 err.write(f"{exc}\n") return 2 - cross_param_error = _enforce_cross_param_rules(command, params) + cross_param_error = enforce_cross_param_rules(command, params) if cross_param_error is not None: err.write(f"{cross_param_error}\n") return 2 @@ -643,14 +540,6 @@ def _dispatch_command( # noqa: PLR0911 err.write(f"{exc}\n") return 1 - if command.output_to_file: - try: - _write_body_to_file(args, body, command, out) - except FredqError as exc: - err.write(f"{exc}\n") - return 1 - return 0 - if getattr(args, "output_format", "json") == "parquet": try: _handle_parquet_output(args, body, params, out) @@ -765,13 +654,10 @@ def main( command = COMMANDS_BY_NAME[command_name] - # Body-to-file commands use --out for raw body output, not parquet. - # Skip the parquet pairing check for them. - if not command.output_to_file: - pairing_error = _enforce_parquet_arg_pairing(args) - if pairing_error is not None: - err.write(f"{pairing_error}\n") - return 2 + pairing_error = _enforce_parquet_arg_pairing(args) + if pairing_error is not None: + err.write(f"{pairing_error}\n") + return 2 active_client, client_error = _resolve_client(args, client, err) if client_error: diff --git a/src/fredq/client.py b/src/fredq/client.py index c9008f1..7bc5294 100644 --- a/src/fredq/client.py +++ b/src/fredq/client.py @@ -153,8 +153,7 @@ def __init__( Args: api_key: FRED API key used to authenticate every request. timeout: Optional custom httpx2 timeout configuration. - base_url: Override the FRED base URL (useful for tests and for the - future GeoFRED Maps endpoints). + base_url: Override the FRED base URL (useful for tests). """ self._api_key = api_key @@ -203,7 +202,8 @@ async def _request_or_raise( attempt += 1 continue url_str = self._redact_url(exc.request.url) - raise FredRequestError(status_code, url_str) from exc + body = _API_KEY_RE.sub(_API_KEY_REDACTED, exc.response.text) + raise FredRequestError(status_code, url_str, body=body) from exc except httpx.TransportError as exc: if attempt < self._REQUEST_ATTEMPTS: await asyncio.sleep(self._RETRY_DELAY_SECONDS * attempt) diff --git a/src/fredq/commands.py b/src/fredq/commands.py index 48d7f4e..97cf731 100644 --- a/src/fredq/commands.py +++ b/src/fredq/commands.py @@ -43,15 +43,12 @@ class CommandSpec: mutually_dependent_params: tuple[frozenset[str], ...] = () at_least_one_of: tuple[frozenset[str], ...] = () requires_partner: tuple[tuple[str, str], ...] = () - # Non-None: command lives under a nested subcommand group (e.g. "geofred"). + # Non-None: command lives under a nested subcommand group (e.g. "series"). # None (default): top-level flat command — existing behavior unchanged. group: str | None = None # Non-None: the subcommand token shown inside the group (display only). # Routing always uses the globally-unique `name`. None -> use `name`. leaf: str | None = None - # When True, the CLI registers --out as a required argument and writes the - # raw response body to that file instead of stdout. - output_to_file: bool = False @property def fred_url(self) -> str: @@ -357,7 +354,7 @@ def _order_by_param(allowed: tuple[str, ...]) -> ParamSpec: # v1 starts with two endpoints to prove the pattern; remaining ~29 added -# incrementally. See AGENTS.md "Architecture" + docs/v2-geofred.md. +# incrementally. See AGENTS.md "Architecture". _CORE_COMMANDS: Final[tuple[CommandSpec, ...]] = ( CommandSpec( name="series", @@ -1293,234 +1290,7 @@ def _order_by_param(allowed: tuple[str, ...]) -> ParamSpec: ), ) -# --------------------------------------------------------------------------- -# GeoFRED (Maps) API — shared param constants -# --------------------------------------------------------------------------- - -_GEOFRED_REGION_TYPES: Final[tuple[str, ...]] = ( - "bea", - "msa", - "frb", - "necta", - "state", - "country", - "county", - "censusregion", - "censusdivision", -) - -_REGION_TYPE_PARAM: Final[ParamSpec] = ParamSpec( - name="region_type", - cli_name="region-type", - kind=ParamKind.STRING, - help=( - "Region type: bea, msa, frb, necta, state, country, county, " - "censusregion, censusdivision." - ), - required=True, - allowed_values=_GEOFRED_REGION_TYPES, - metavar="REGION", -) - -_DATE_PARAM: Final[ParamSpec] = ParamSpec( - name="date", - cli_name="date", - kind=ParamKind.DATE, - help="Date to fetch data for (YYYY-MM-DD).", - metavar="DATE", -) - -_DATE_REQUIRED_PARAM: Final[ParamSpec] = ParamSpec( - name="date", - cli_name="date", - kind=ParamKind.DATE, - help="Date to fetch data for (YYYY-MM-DD).", - required=True, - metavar="DATE", -) - -_START_DATE_PARAM: Final[ParamSpec] = ParamSpec( - name="start_date", - cli_name="start-date", - kind=ParamKind.DATE, - help="Earliest date (YYYY-MM-DD).", - metavar="DATE", -) - -_SEASON_PARAM: Final[ParamSpec] = ParamSpec( - name="season", - cli_name="season", - kind=ParamKind.STRING, - help="Seasonality code: SA, NSA, SSA, SAAR, NSAAR.", - required=True, - allowed_values=("SA", "NSA", "SSA", "SAAR", "NSAAR"), - metavar="SEASON", -) - -_AGGREGATION_METHOD_PARAM: Final[ParamSpec] = ParamSpec( - name="aggregation_method", - cli_name="aggregation-method", - kind=ParamKind.STRING, - help="Aggregation method: avg, sum, eop.", - allowed_values=("avg", "sum", "eop"), - metavar="METHOD", -) - -_UNITS_DISPLAY_PARAM: Final[ParamSpec] = ParamSpec( - name="units", - cli_name="units", - kind=ParamKind.STRING, - help=( - "Units display name (e.g. 'Dollars', 'Percent', 'Index 2017=100'). " - "Get from 'fredq geofred series-group '." - ), - required=True, - metavar="UNITS", -) - -# GeoFRED regional/data accepts the lowercase single-letter frequency codes -# that match frequency_short from series-group (e.g. "a" for Annual). -# The full set observed in practice mirrors the core FRED base frequencies. -_GEOFRED_FREQUENCY_PARAM: Final[ParamSpec] = ParamSpec( - name="frequency", - cli_name="frequency", - kind=ParamKind.STRING, - help=( - "Frequency code matching frequency_short from 'geofred series-group': " - "d (daily), w (weekly), bw (biweekly), m (monthly), " - "q (quarterly), sa (semiannual), a (annual)." - ), - required=True, - allowed_values=_FREQUENCY_BASE, - metavar="FREQ", -) - -# --------------------------------------------------------------------------- -# GeoFRED COMMANDS (appended after source-releases) -# --------------------------------------------------------------------------- - -_GEOFRED_COMMANDS: Final[tuple[CommandSpec, ...]] = ( - CommandSpec( - name="series-group", - path="/geofred/series/group", - group="geofred", - summary="Show GeoFRED series group metadata (region, season, frequency, units).", # noqa: E501 - description=( - "Return the series_group ID, season, frequency, units (display names), " - "and observation range needed to call geofred regional-data." - ), - params=(_SERIES_ID_PARAM,), - examples=("fredq geofred series-group WIPCPI",), - ), - CommandSpec( - name="series-data", - path="/geofred/series/data", - group="geofred", - summary="Fetch regional time-series data for one FRED series.", - description=( - "Return a time series of regional observation values for the " - "specified FRED series. Each observation includes the region name, " - "FIPS code, date, and value." - ), - params=( - _SERIES_ID_PARAM, - _DATE_PARAM, - _START_DATE_PARAM, - ), - examples=( - "fredq geofred series-data WIPCPI", - ("fredq geofred series-data WIPCPI --start-date 2020-01-01"), - ), - ), - CommandSpec( - name="regional-data", - path="/geofred/regional/data", - group="geofred", - summary="Fetch a regional snapshot — all regions for one date.", - description=( - "Return observation values for all regions of the specified series " - "group on a single date. Each record includes the region name, " - "FIPS code, and observation value." - ), - params=( - ParamSpec( - name="series_group", - cli_name="series-group", - kind=ParamKind.STRING, - help=( - "GeoFRED series group ID (e.g. 882). " - "Discover via 'fredq geofred series-group '." - ), - positional=True, - required=True, - metavar="ID", - ), - _REGION_TYPE_PARAM, - _DATE_REQUIRED_PARAM, - _SEASON_PARAM, - _GEOFRED_FREQUENCY_PARAM, - _UNITS_DISPLAY_PARAM, - _START_DATE_PARAM, - _AGGREGATION_METHOD_PARAM, - ), - examples=( - ( - "fredq geofred regional-data 882 " - "--region-type state --date 2020-01-01 " - "--season NSA --frequency a --units Dollars" - ), - ), - notes=( - ( - "Run 'fredq geofred series-group ' first to " - "discover the correct series-group ID, --season, and --units " - "values." - ), - ( - "--frequency takes the API code, not the display name: " - "use 'a' for Annual, 'q' for Quarterly, 'm' for Monthly, " - "'w' for Weekly, 'd' for Daily." - ), - ), - ), - CommandSpec( - name="shapes", - path="/geofred/shapes/file", - group="geofred", - output_to_file=True, - summary="Download a GeoJSON shape file for a GeoFRED region type.", - description=( - "Download the polygon boundary file for the specified region type " - "and write it to --out. The response is GeoJSON." - ), - params=( - ParamSpec( - name="shape", - cli_name="shape", - kind=ParamKind.STRING, - help=( - "Region polygon set: bea, msa, frb, necta, state, country, county, " - "censusregion, censusdivision." - ), - positional=True, - required=True, - allowed_values=_GEOFRED_REGION_TYPES, - metavar="SHAPE", - ), - ), - examples=("fredq geofred shapes state --out states.geojson",), - notes=( - "Output is GeoJSON. The msa shape is ~1.6 MB.", - ( - "Coordinates are quantized integers, not WGS84. To render on a " - "map you must apply the transform parameters embedded in the " - "response to dequantize." - ), - ), - ), -) - -COMMANDS: Final[tuple[CommandSpec, ...]] = _CORE_COMMANDS + _GEOFRED_COMMANDS +COMMANDS: Final[tuple[CommandSpec, ...]] = _CORE_COMMANDS COMMANDS_BY_NAME: Final[dict[str, CommandSpec]] = { @@ -1533,5 +1303,4 @@ def _order_by_param(allowed: tuple[str, ...]) -> ParamSpec: "release": "Economic data releases, their series, dates, and tables.", "source": "Data sources and the releases they publish.", "tag": "FRED tags and the series/tags related to them.", - "geofred": "GeoFRED Maps API commands.", } diff --git a/src/fredq/exceptions.py b/src/fredq/exceptions.py index a40bc8f..a4f72f7 100644 --- a/src/fredq/exceptions.py +++ b/src/fredq/exceptions.py @@ -32,6 +32,7 @@ def __init__( url: str, *, reason: str | None = None, + body: str | None = None, ) -> None: """Initialize the request error.""" @@ -42,6 +43,9 @@ def __init__( self.status_code = status_code self.url = url self.reason = reason + # Raw response body (API-key material scrubbed by the client) so + # error payload shapes can serve as corpus evidence. + self.body = body class FredUnavailableError(FredqError): @@ -52,3 +56,34 @@ def __init__(self, context: str) -> None: super().__init__(f"FRED API unavailable while processing {context}") self.context = context + + +class FredApiError(FredqError): + """Raised when FRED answers with its structured error payload. + + FRED reports every request-level failure — unknown ids, bad parameter + values, unregistered API keys — as an HTTP 4xx/5xx whose JSON body is + ``{"error_code": , "error_message": }``, with no structural + difference between the causes (corpus evidence, 2026-07-05). There is + deliberately no not-found subclass: distinguishing "does not exist" + from other 400s would require matching message wording, which is + forbidden by the error-mapping law. + + ``error_code`` is ``None`` only for the malformed-response contract + (an HTTP 200 whose body is not a JSON object). + """ + + def __init__( + self, + *, + error_message: str, + error_code: int | None = None, + status_code: int | None = None, + ) -> None: + """Initialize the API error.""" + + status_note = f" (HTTP {status_code})" if status_code is not None else "" + super().__init__(f"FRED API error{status_note}: {error_message}") + self.error_code = error_code + self.error_message = error_message + self.status_code = status_code diff --git a/src/fredq/frames.py b/src/fredq/frames.py new file mode 100644 index 0000000..fc3ab04 --- /dev/null +++ b/src/fredq/frames.py @@ -0,0 +1,212 @@ +"""Immutable tabular results with one conversion vocabulary.""" + +# pandas/pyarrow are optional (the fredq[pandas] extra) and absent from the +# base dev environment, so pyright sees their types as Unknown here. Relax +# only the Unknown-type checks; the ImportError probes keep runtime honest. +# pyright: reportUnknownMemberType=false, reportUnknownVariableType=false, reportUnknownParameterType=false + +from __future__ import annotations + +from dataclasses import dataclass +from datetime import date +from typing import TYPE_CHECKING, Any, Final + +import polars as pl + +from fredq.exceptions import FredqError +from fredq.models import ObservationsMeta + +if TYPE_CHECKING: + from datetime import datetime + from pathlib import Path + + import pandas as pd # pyright: ignore[reportMissingImports, reportMissingTypeStubs] + import pyarrow as pa # pyright: ignore[reportMissingImports, reportMissingTypeStubs] + +# FRED encodes missing observations as ".". +_MISSING: Final[str] = "." + +_OBSERVATION_KEYS: Final[frozenset[str]] = frozenset( + {"date", "value", "realtime_start", "realtime_end"} +) + + +class FrameShapeError(FredqError): + """Raised when a tabular FRED payload does not match its pinned shape.""" + + +@dataclass(frozen=True, slots=True) +class Frame: + """A fetched tabular result wrapping a polars DataFrame.""" + + df: pl.DataFrame + fetched_at: datetime + + def to_polars(self) -> pl.DataFrame: + """Return the underlying polars DataFrame (not a copy). + + Returns: + pl.DataFrame: The result table. + """ + + return self.df + + def to_pandas(self) -> pd.DataFrame: + """Convert to pandas (requires the fredq[pandas] extra). + + Returns: + pd.DataFrame: The result table as pandas. + + Raises: + ImportError: If pandas is not installed. + """ + + try: + import pandas # noqa: F401, ICN001, PLC0415 - optional dependency probe # pyright: ignore[reportMissingImports, reportMissingTypeStubs, reportUnusedImport] + except ImportError as exc: + message = ( + "to_pandas() requires the optional extra: pip install fredq[pandas]" + ) + raise ImportError(message) from exc + return self.df.to_pandas() + + def to_arrow(self) -> pa.Table: + """Convert to a pyarrow Table (requires the fredq[pandas] extra). + + Returns: + pa.Table: The result table as Arrow. + + Raises: + ImportError: If pyarrow is not installed. + """ + + try: + import pyarrow # noqa: F401, ICN001, PLC0415 - optional dependency probe # pyright: ignore[reportMissingImports, reportMissingTypeStubs, reportUnusedImport] + except ImportError as exc: + message = ( + "to_arrow() requires the optional extra: pip install fredq[pandas]" + ) + raise ImportError(message) from exc + return self.df.to_arrow() + + def to_dicts(self) -> list[dict[str, Any]]: + """Return the rows as plain Python dicts. + + Returns: + list[dict[str, Any]]: One dict per row, python-typed values. + """ + + return self.df.to_dicts() + + def save_parquet(self, path: Path | str) -> None: + """Write the table to a Parquet file (snappy compression).""" + + self.df.write_parquet(path, compression="snappy") + + +@dataclass(frozen=True, slots=True) +class Observations(Frame): + """Series observations plus their typed response envelope. + + ``meta`` carries every envelope field FRED sent alongside the rows + (realtime bounds, units, count, ...), corpus-gated. + """ + + meta: ObservationsMeta + + +def _parse_date(field: str, raw: object) -> date: + if not isinstance(raw, str): + message = f"observation {field} is not a string: {raw!r}" + raise FrameShapeError(message) + try: + return date.fromisoformat(raw) + except ValueError as exc: + message = f"observation {field} is not an ISO date: {raw!r}" + raise FrameShapeError(message) from exc + + +def _parse_value(raw: object) -> float | None: + """Parse FRED's observation value: a float string, or "." for missing. + + Returns: + float | None: The value, or None for FRED's missing sentinel. + + Raises: + FrameShapeError: For any other shape (corpus evidence says only + float strings and "." occur; drift must fail loudly). + """ + + if raw == _MISSING: + return None + if isinstance(raw, str): + try: + return float(raw) + except ValueError: + pass + message = f"observation value is not a float string or '.': {raw!r}" + raise FrameShapeError(message) + + +def build_observations( + payload: dict[str, Any], *, fetched_at: datetime +) -> Observations: + """Build an Observations frame from a parsed series/observations payload. + + Returns: + Observations: Rows as polars columns, envelope as ``meta``. + + Raises: + FrameShapeError: If the payload or any row deviates from the + corpus-pinned shape (missing rows array, unknown row keys, + unparseable dates or values). + """ + + rows = payload.get("observations") + if not isinstance(rows, list): + message = "payload has no 'observations' array" + raise FrameShapeError(message) + + dates: list[date] = [] + values: list[float | None] = [] + starts: list[date] = [] + ends: list[date] = [] + for raw_row in rows: + if not isinstance(raw_row, dict): + message = f"observation row is not an object: {raw_row!r}" + raise FrameShapeError(message) + row: dict[str, object] = raw_row + keys = frozenset(row.keys()) + unknown = keys - _OBSERVATION_KEYS + if unknown: + names = ", ".join(sorted(unknown)) + message = f"unknown observation key(s): {names}" + raise FrameShapeError(message) + missing = _OBSERVATION_KEYS - keys + if missing: + names = ", ".join(sorted(missing)) + message = f"observation row missing key(s): {names}" + raise FrameShapeError(message) + dates.append(_parse_date("date", row["date"])) + values.append(_parse_value(row["value"])) + starts.append(_parse_date("realtime_start", row["realtime_start"])) + ends.append(_parse_date("realtime_end", row["realtime_end"])) + + df = pl.DataFrame( + { + "date": dates, + "value": values, + "realtime_start": starts, + "realtime_end": ends, + }, + schema={ + "date": pl.Date, + "value": pl.Float64, + "realtime_start": pl.Date, + "realtime_end": pl.Date, + }, + ) + meta = ObservationsMeta.model_validate( + {key: value for key, value in payload.items() if key != "observations"} + ) + return Observations(df=df, fetched_at=fetched_at, meta=meta) diff --git a/src/fredq/models/__init__.py b/src/fredq/models/__init__.py new file mode 100644 index 0000000..900b967 --- /dev/null +++ b/src/fredq/models/__init__.py @@ -0,0 +1,39 @@ +"""Corpus-gated response models for the fredq library layer.""" + +from __future__ import annotations + +from fredq.models._base import FredDatetime, FredModel +from fredq.models.categories import CategoriesResult, CategoryInfo +from fredq.models.observations import ObservationsMeta +from fredq.models.releases import ( + ReleaseDate, + ReleaseDatesResult, + ReleaseInfo, + ReleasesResult, +) +from fredq.models.series import SeriesInfo, SeriesListResult, VintageDatesResult +from fredq.models.sources import ReleaseSourcesResult, SourceInfo, SourcesResult +from fredq.models.tables import Element, ReleaseTablesResult +from fredq.models.tags import TagInfo, TagsResult + +__all__ = [ + "CategoriesResult", + "CategoryInfo", + "Element", + "FredDatetime", + "FredModel", + "ObservationsMeta", + "ReleaseDate", + "ReleaseDatesResult", + "ReleaseInfo", + "ReleaseSourcesResult", + "ReleaseTablesResult", + "ReleasesResult", + "SeriesInfo", + "SeriesListResult", + "SourceInfo", + "SourcesResult", + "TagInfo", + "TagsResult", + "VintageDatesResult", +] diff --git a/src/fredq/models/_base.py b/src/fredq/models/_base.py new file mode 100644 index 0000000..e0b62f3 --- /dev/null +++ b/src/fredq/models/_base.py @@ -0,0 +1,57 @@ +"""Base class and shared field types for FRED response models.""" + +from __future__ import annotations + +from datetime import datetime +from typing import Annotated, Final + +from pydantic import BaseModel, BeforeValidator, ConfigDict + + +class FredModel(BaseModel): + """Frozen wire-faithful base for every FRED response model. + + ``extra="allow"`` is load-bearing: unmodeled wire fields land on + ``model_extra`` where the corpus gates (tests/test_models_gates.py) + detect them. Field names mirror wire keys exactly; FRED's keys are + already snake_case, so no alias generator exists. + """ + + model_config = ConfigDict( + extra="allow", + frozen=True, + populate_by_name=True, + str_strip_whitespace=True, + ) + + +_OFFSET_TAIL_LENGTH: Final[int] = 3 + + +def _pad_offset(value: object) -> object: + """Normalize FRED's minute-less UTC offsets for datetime parsing. + + FRED spells datetimes like ``2026-04-09 07:53:12-05`` (offset hours + only). Padding the two-digit offset to ``-05:00`` makes the value + unambiguous ISO 8601 for any parser; values already carrying minutes + (or no offset) pass through unchanged. + + Returns: + object: The padded string, or the value unchanged if not shaped so. + """ + + if ( + isinstance(value, str) + # Only datetimes carry an offset; a bare date like "2026-04-09" + # must pass through untouched (its "-09" tail is not an offset). + and (" " in value or "T" in value) + and len(value) > _OFFSET_TAIL_LENGTH + ): + tail = value[-_OFFSET_TAIL_LENGTH:] + if tail[0] in "+-" and tail[1:].isdigit(): + return f"{value}:00" + return value + + +FredDatetime = Annotated[datetime, BeforeValidator(_pad_offset)] +"""Aware datetime accepting FRED's minute-less offset spelling.""" diff --git a/src/fredq/models/categories.py b/src/fredq/models/categories.py new file mode 100644 index 0000000..e34d631 --- /dev/null +++ b/src/fredq/models/categories.py @@ -0,0 +1,30 @@ +"""Category models. Endpoint noun: category. Corpus: 2026-07-05 run.""" + +from __future__ import annotations + +from fredq.models._base import FredModel + + +class CategoryInfo(FredModel): + """One FRED category record (a ``categories`` list element). + + Appears in: category show (unwrapped), category-children, + category-related, series-categories. ``notes`` is absent on most + records (corpus-measured), hence optional. + """ + + id: int + name: str + notes: str | None = None + parent_id: int + + +class CategoriesResult(FredModel): + """A category list response. + + FRED's category-list envelopes carry nothing besides the list itself + (corpus-measured across category show/children/related and + series-categories) — no realtime bounds, no pagination. + """ + + categories: list[CategoryInfo] diff --git a/src/fredq/models/observations.py b/src/fredq/models/observations.py new file mode 100644 index 0000000..7b13987 --- /dev/null +++ b/src/fredq/models/observations.py @@ -0,0 +1,31 @@ +"""Observations envelope model. Endpoint: series-observations. Corpus 2026-07-05.""" + +from __future__ import annotations + +from datetime import date # noqa: TC003 - pydantic needs runtime types +from typing import Literal + +from fredq.models._base import FredModel + + +class ObservationsMeta(FredModel): + """The series-observations response envelope (everything but the rows). + + ``units`` echoes the requested transform code (a request-validated + closed set; kept ``str`` per the enum policy). ``output_type`` is + always 1 via this library — the surface exposes no output_type + parameter. + """ + + count: int + file_type: Literal["json"] + limit: int + observation_end: date + observation_start: date + offset: int + order_by: str + output_type: int + realtime_end: date + realtime_start: date + sort_order: str + units: str diff --git a/src/fredq/models/releases.py b/src/fredq/models/releases.py new file mode 100644 index 0000000..5234085 --- /dev/null +++ b/src/fredq/models/releases.py @@ -0,0 +1,65 @@ +"""Release models. Endpoint noun: release. Corpus: 2026-07-05 run.""" + +from __future__ import annotations + +from datetime import date # noqa: TC003 - pydantic needs runtime types + +from fredq.models._base import FredDatetime, FredModel + + +class ReleaseInfo(FredModel): + """One FRED release record (a ``releases`` list element). + + Appears in: release show + series-release (unwrapped), releases, + source-releases. ``link`` and ``notes`` are absent on some records + (corpus-measured), hence optional. + """ + + id: int + link: str | None = None + name: str + notes: str | None = None + press_release: bool + realtime_end: date + realtime_start: date + + +class ReleasesResult(FredModel): + """A paginated release-list response (releases, source-releases).""" + + count: int + limit: int + offset: int + order_by: str + realtime_end: date + realtime_start: date + releases: list[ReleaseInfo] + sort_order: str + + +class ReleaseDate(FredModel): + """One release-date record (a ``release_dates`` list element). + + Appears in: release-dates (per-release: only ``release_id`` + ``date``) + and releases-dates (the calendar: adds ``release_name`` and + ``release_last_updated``) — one model, calendar-only fields optional + (corpus-measured). + """ + + date: date + release_id: int + release_last_updated: FredDatetime | None = None + release_name: str | None = None + + +class ReleaseDatesResult(FredModel): + """A paginated release-dates response (release-dates, releases-dates).""" + + count: int + limit: int + offset: int + order_by: str + realtime_end: date + realtime_start: date + release_dates: list[ReleaseDate] + sort_order: str diff --git a/src/fredq/models/series.py b/src/fredq/models/series.py new file mode 100644 index 0000000..dbd1b7d --- /dev/null +++ b/src/fredq/models/series.py @@ -0,0 +1,74 @@ +"""Series record model. Endpoint noun: series. Corpus: 2026-07-05 run.""" + +from __future__ import annotations + +from datetime import date # noqa: TC003 - pydantic needs runtime types + +from fredq.models._base import FredDatetime, FredModel + + +class SeriesInfo(FredModel): + """One FRED series record (a ``seriess`` list element). + + Appears in: series show (unwrapped), series-search, category-series, + release-series, tags-series, series-updates. Reuse across all six is + corpus-verified by the gates (zero extras + one shared required set + over every source's captures). + + ``group_popularity`` is observed only on list/search results + (category-series, release-series, tags-series, series-search), never + on series-show or series-updates records — hence optional. ``notes`` + is absent on some records (corpus-measured), hence optional. + """ + + frequency: str + frequency_short: str + group_popularity: int | None = None + id: str + last_updated: FredDatetime + notes: str | None = None + observation_end: date + observation_start: date + popularity: int + realtime_end: date + realtime_start: date + seasonal_adjustment: str + seasonal_adjustment_short: str + title: str + units: str + units_short: str + + +class SeriesListResult(FredModel): + """A paginated series-list response. + + Appears in: series-search, category-series, release-series, + tags-series, series-updates (corpus-gated across all five). FRED + echoes ``filter_variable`` and ``filter_value`` in the envelope only + for filterable endpoints (always on series-updates, on the others only + when the request filtered) — corpus-measured, hence optional. + """ + + count: int + filter_value: str | None = None + filter_variable: str | None = None + limit: int + offset: int + order_by: str + realtime_end: date + realtime_start: date + seriess: list[SeriesInfo] + sort_order: str + + +class VintageDatesResult(FredModel): + """The series-vintagedates response: paginated ALFRED vintage dates.""" + + count: int + limit: int + offset: int + order_by: str + realtime_end: date + realtime_start: date + sort_order: str + vintage_dates: list[date] diff --git a/src/fredq/models/sources.py b/src/fredq/models/sources.py new file mode 100644 index 0000000..f370837 --- /dev/null +++ b/src/fredq/models/sources.py @@ -0,0 +1,48 @@ +"""Source models. Endpoint noun: source. Corpus: 2026-07-05 run.""" + +from __future__ import annotations + +from datetime import date # noqa: TC003 - pydantic needs runtime types + +from fredq.models._base import FredModel + + +class SourceInfo(FredModel): + """One FRED source record (a ``sources`` list element). + + Appears in: source show (unwrapped), sources, release-sources. + ``link`` and ``notes`` are absent on some records (corpus-measured), + hence optional. + """ + + id: int + link: str | None = None + name: str + notes: str | None = None + realtime_end: date + realtime_start: date + + +class ReleaseSourcesResult(FredModel): + """The release-sources response: realtime bounds + sources, unpaginated. + + Distinct from :class:`SourcesResult` by corpus evidence: FRED's + release/sources envelope carries no count/limit/offset/ordering. + """ + + realtime_end: date + realtime_start: date + sources: list[SourceInfo] + + +class SourcesResult(FredModel): + """A paginated source-list response (sources).""" + + count: int + limit: int + offset: int + order_by: str + realtime_end: date + realtime_start: date + sort_order: str + sources: list[SourceInfo] diff --git a/src/fredq/models/tables.py b/src/fredq/models/tables.py new file mode 100644 index 0000000..cff653d --- /dev/null +++ b/src/fredq/models/tables.py @@ -0,0 +1,39 @@ +"""Release-table models. Endpoint: release-tables. Corpus: 2026-07-05 run.""" + +from __future__ import annotations + +from fredq.models._base import FredModel + + +class Element(FredModel): + """One release-table element (a node in the table tree). + + ``line``, ``parent_id``, and ``series_id`` are present on every corpus + record but always null there (top-level section nodes); ``line`` is a + string per FRED's documentation when populated — required-but-nullable + per the law. + """ + + children: list[Element] + element_id: int + level: str + line: str | None + name: str + parent_id: int | None + release_id: int + series_id: str | None + type: str + + +class ReleaseTablesResult(FredModel): + """The release-tables response: a keyed tree of table elements. + + ``release_id`` echoes the request parameter and arrives as a STRING + (unlike the integer ``release_id`` inside each element) — wire-faithful. + """ + + elements: dict[str, Element] + release_id: str + + +Element.model_rebuild() diff --git a/src/fredq/models/tags.py b/src/fredq/models/tags.py new file mode 100644 index 0000000..ca40834 --- /dev/null +++ b/src/fredq/models/tags.py @@ -0,0 +1,37 @@ +"""Tag models. Endpoint noun: tag. Corpus: 2026-07-05 run.""" + +from __future__ import annotations + +from datetime import date # noqa: TC003 - pydantic needs runtime types + +from fredq.models._base import FredDatetime, FredModel + + +class TagInfo(FredModel): + """One FRED tag record (a ``tags`` list element). + + Appears in: tags, related-tags, series-tags, category-tags, + category-related-tags, release-tags, release-related-tags, + series-search-tags, series-search-related-tags. ``notes`` is always + present but sometimes null (corpus-measured) — required-but-nullable. + """ + + created: FredDatetime + group_id: str + name: str + notes: str | None + popularity: int + series_count: int + + +class TagsResult(FredModel): + """A paginated tag-list response (every tag-returning endpoint).""" + + count: int + limit: int + offset: int + order_by: str + realtime_end: date + realtime_start: date + sort_order: str + tags: list[TagInfo] diff --git a/src/fredq/params.py b/src/fredq/params.py index 9f634ea..f2d54ce 100644 --- a/src/fredq/params.py +++ b/src/fredq/params.py @@ -8,6 +8,9 @@ from typing import TYPE_CHECKING, Final if TYPE_CHECKING: + from collections.abc import Mapping + + from fredq.commands import CommandSpec from fredq.types import ParamValue @@ -245,3 +248,46 @@ def coerce_param(spec: ParamSpec, value: str) -> ParamValue: message = f"unsupported parameter kind: {spec.kind}" raise ValueError(message) + + +def enforce_cross_param_rules( + command: CommandSpec, params: Mapping[str, object] +) -> str | None: + """Validate cross-parameter dependency rules on a collected param dict. + + Checks three rule types stored on :class:`CommandSpec`: + + * ``mutually_dependent_params``: every frozenset must be either entirely + absent or entirely present. A partial set is an error. + * ``at_least_one_of``: every frozenset must have at least one member + present. + * ``requires_partner``: if the first element of a pair is present, the + second must also be present. + + Returns: + str | None: An error message when any rule is violated, or ``None`` + when all rules pass. + """ + + present = set(params) + + for group in command.mutually_dependent_params: + found = group & present + if found and found != group: + missing = group - found + missing_opts = " ".join(f"--{n.replace('_', '-')}" for n in sorted(missing)) + found_opts = " ".join(f"--{n.replace('_', '-')}" for n in sorted(found)) + return f"{found_opts} requires {missing_opts} to also be supplied." + + for group in command.at_least_one_of: + if not (group & present): + opts = " or ".join(f"--{n.replace('_', '-')}" for n in sorted(group)) + return f"at least one of {opts} is required." + + for needy, required in command.requires_partner: + if needy in present and required not in present: + needy_opt = f"--{needy.replace('_', '-')}" + required_opt = f"--{required.replace('_', '-')}" + return f"{needy_opt} requires {required_opt} to also be supplied." + + return None diff --git a/src/fredq/py.typed b/src/fredq/py.typed new file mode 100644 index 0000000..e69de29 diff --git a/tests/conftest.py b/tests/conftest.py index 3beefd1..df69f29 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -3,7 +3,7 @@ from __future__ import annotations from dataclasses import dataclass -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Any, cast import httpx2 as httpx import pytest @@ -137,3 +137,56 @@ async def mocked_handle_async_request( ) yield mock mock.assert_all_used() + + +def collect_nested_extras(model: object, path: str = "$") -> list[tuple[str, str]]: + """Recursively collect (path, key) for every unmodeled wire field. + + Walks pydantic models, lists, and dicts of models. An empty result + means the model fully covers the payload — the zero-extras gate. + + Returns: + list[tuple[str, str]]: One entry per extra field found. + """ + + from pydantic import BaseModel # noqa: PLC0415 - keep pydantic off non-model tests + + extras: list[tuple[str, str]] = [] + if isinstance(model, BaseModel): + extras.extend((path, key) for key in (model.model_extra or {})) + for name in type(model).model_fields: + extras += collect_nested_extras(getattr(model, name), f"{path}.{name}") + elif isinstance(model, list): + items = cast("list[object]", model) + for index, item in enumerate(items): + extras += collect_nested_extras(item, f"{path}[{index}]") + elif isinstance(model, dict): + mapping = cast("dict[object, object]", model) + for key, item in mapping.items(): + extras += collect_nested_extras(item, f"{path}[{key!r}]") + return extras + + +def universal_keys(records: list[dict[str, object]]) -> set[str]: + """Keys present in 100% of the given wire records. + + Returns: + set[str]: The corpus-measured universal key set. + """ + + assert records, "no records to measure - corpus glob matched nothing" + keys = set(records[0]) + for record in records[1:]: + keys &= set(record) + return keys + + +def required_field_names(model_cls: type[Any]) -> set[str]: + """Field names a pydantic model requires (no default). + + Returns: + set[str]: Required field names. + """ + + fields = cast("dict[str, Any]", model_cls.model_fields) + return {name for name, field in fields.items() if field.is_required()} diff --git a/tests/fixtures/corpus/README.md b/tests/fixtures/corpus/README.md new file mode 100644 index 0000000..1850b2d --- /dev/null +++ b/tests/fixtures/corpus/README.md @@ -0,0 +1,53 @@ +# FRED capture corpus + +Committed captures of real FRED API responses. This corpus is the ONLY +authority for wire spellings, field presence, and types when writing +response models (see the library-api design spec, evidence discipline). + +- Regenerate: `uv run python -m tools.probe` (needs a FRED API key via + `FRED_API_KEY` or `~/.fredq/api_key`; ~5 min, politeness-limited to + ~100 requests/min). +- `manifest.json` describes every case: argv (the exact `fredq ...` + invocation), status (`ok` / `http_error` / `error`), http_status, file. +- A manifest `ok` guarantees the capture parses as JSON. An `error` entry + carries `http_status: 200` when the payload was corrupt but the HTTP + transaction succeeded, and `http_status: null` for non-HTTP failures — + never assume `error` implies `null`. +- All content is scrubbed: the probe redacts `api_key=[REDACTED]` fragments + and the literal key; `tests/test_corpus.py` sweeps the whole corpus and + fails on any leak. +- `series-updates/RECENT_WINDOW` has time-relative argv by design; its + start/end times drift on every regeneration. + +## Curation rulings (2026-07-05 run: 94 cases — 85 ok, 9 http_error, 0 error) + +- `tags-series/ERR_bogus-tag`: FRED rejects unknown tag names with HTTP 400 + rather than returning an empty list. +- `related-tags/monetary_group-geo`: HTTP 400 — FRED rejects + `tag_names=monetary` combined with `tag_group_id=geo`. Kept as evidence + of a valid-params-but-rejected-combination error shape. +- `series-search/EMPTY_RESULT`, `category-children/125_maybe-leaf`, + `category-related/125_maybe-empty`: HTTP 200 with empty lists — empty + results are values, not errors. Category 125 is confirmed a leaf. +- `release-tables/175_maybe-no-tables`: release 175 actually HAS table + elements; the case name records the original uncertainty, the capture is + the truth. +- `series-observations/DGS10_future-window` (2030 window): HTTP 200 with + `observations: []` — FRED answers future windows with empty data, not an + error. +- `series/ERR_bad-api-key`: FRED's 400 body is a static generic message; it + never echoes submitted key material. +- `series-group/ERR_invalid-id` (removed 2026-07-06, Part 5): GeoFRED + answered an invalid series id with HTTP 500, unlike the core API's 400 — + the geofred error family differed. The `geofred` command group, its + probe cases, and the `series-group`/`series-data`/`regional-data`/`shapes` + captures were removed entirely in Part 5 of the library-api feature (site + sunset 2022; API deprecated); the captures remain retrievable from git + history prior to that removal. +- Missing-value evidence: `series-observations/DEXCAUS_holidays` contains + `"value": "."` entries (FRED's missing-data sentinel). +- Vintage evidence: `series-observations/UNRATE_vintage-2001` carries three + distinct realtime windows. + +Never hand-edit captures. To change evidence, change the probe plan in +`tools/probe.py` and re-run it. diff --git a/tests/fixtures/corpus/category-children/125_maybe-leaf.json b/tests/fixtures/corpus/category-children/125_maybe-leaf.json new file mode 100644 index 0000000..f47f1e5 --- /dev/null +++ b/tests/fixtures/corpus/category-children/125_maybe-leaf.json @@ -0,0 +1 @@ +{"categories":[]} \ No newline at end of file diff --git a/tests/fixtures/corpus/category-children/32991.json b/tests/fixtures/corpus/category-children/32991.json new file mode 100644 index 0000000..cdf26c0 --- /dev/null +++ b/tests/fixtures/corpus/category-children/32991.json @@ -0,0 +1 @@ +{"categories":[{"id":22,"name":"Interest Rates","parent_id":32991},{"id":15,"name":"Exchange Rates","parent_id":32991},{"id":24,"name":"Monetary Data","parent_id":32991},{"id":46,"name":"Financial Indicators","parent_id":32991},{"id":23,"name":"Banking","parent_id":32991},{"id":32360,"name":"Business Lending","parent_id":32991},{"id":32145,"name":"Foreign Exchange Intervention","parent_id":32991,"notes":"In addition to the listed daily intervention series, intra-day series from the Swiss National Bank are available at: \r\nhttp:\/\/research.stlouisfed.org\/fei\/\r\n\r\nUnited Kingdom foreign exchange intervention data can be downloaded from Her Majesty's Treasury at the following:\r\nhttp:\/\/www.hm-treasury.gov.uk"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/category-children/root.json b/tests/fixtures/corpus/category-children/root.json new file mode 100644 index 0000000..f81b818 --- /dev/null +++ b/tests/fixtures/corpus/category-children/root.json @@ -0,0 +1 @@ +{"categories":[{"id":32991,"name":"Money, Banking, & Finance","parent_id":0},{"id":10,"name":"Population, Employment, & Labor Markets","parent_id":0},{"id":32992,"name":"National Accounts","parent_id":0},{"id":1,"name":"Production & Business Activity","parent_id":0},{"id":32455,"name":"Prices","parent_id":0},{"id":32263,"name":"International Data","parent_id":0},{"id":3008,"name":"U.S. Regional Data","parent_id":0},{"id":33060,"name":"Academic Data","parent_id":0}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/category-related-tags/125_services-quarterly.json b/tests/fixtures/corpus/category-related-tags/125_services-quarterly.json new file mode 100644 index 0000000..5be6d39 --- /dev/null +++ b/tests/fixtures/corpus/category-related-tags/125_services-quarterly.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_count","sort_order":"desc","count":8,"offset":0,"limit":10,"tags":[{"name":"balance","group_id":"gen","notes":"","created":"2012-02-27 10:18:19-06","popularity":50,"series_count":6},{"name":"bea","group_id":"src","notes":"Bureau of Economic Analysis","created":"2012-02-27 10:18:19-06","popularity":79,"series_count":6},{"name":"nation","group_id":"geot","notes":"","created":"2012-02-27 10:18:19-06","popularity":98,"series_count":6},{"name":"public domain: citation requested","group_id":"cc","notes":null,"created":"2018-12-17 23:33:13-06","popularity":99,"series_count":6},{"name":"usa","group_id":"geo","notes":"United States of America","created":"2012-02-27 10:18:19-06","popularity":100,"series_count":6},{"name":"discontinued","group_id":"gen","notes":"","created":"2012-02-27 10:18:19-06","popularity":70,"series_count":4},{"name":"sa","group_id":"seas","notes":"Seasonally Adjusted","created":"2012-02-27 10:18:19-06","popularity":86,"series_count":4},{"name":"nsa","group_id":"seas","notes":"Not Seasonally Adjusted","created":"2012-02-27 10:18:19-06","popularity":100,"series_count":2}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/category-related/125_maybe-empty.json b/tests/fixtures/corpus/category-related/125_maybe-empty.json new file mode 100644 index 0000000..f47f1e5 --- /dev/null +++ b/tests/fixtures/corpus/category-related/125_maybe-empty.json @@ -0,0 +1 @@ +{"categories":[]} \ No newline at end of file diff --git a/tests/fixtures/corpus/category-related/32073.json b/tests/fixtures/corpus/category-related/32073.json new file mode 100644 index 0000000..46086a6 --- /dev/null +++ b/tests/fixtures/corpus/category-related/32073.json @@ -0,0 +1 @@ +{"categories":[{"id":149,"name":"Arkansas","parent_id":27281},{"id":150,"name":"Illinois","parent_id":27281},{"id":151,"name":"Indiana","parent_id":27281},{"id":152,"name":"Kentucky","parent_id":27281},{"id":153,"name":"Mississippi","parent_id":27281},{"id":154,"name":"Missouri","parent_id":27281},{"id":193,"name":"Tennessee","parent_id":27281}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/category-series/125.json b/tests/fixtures/corpus/category-series/125.json new file mode 100644 index 0000000..4fc1666 --- /dev/null +++ b/tests/fixtures/corpus/category-series/125.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_id","sort_order":"asc","count":47,"offset":0,"limit":1000,"seriess":[{"id":"AITGCBN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Advance U.S. International Trade in Goods: Balance","observation_start":"2026-05-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-26 16:09:24-05","popularity":6,"group_popularity":29,"notes":"This advance estimate represents the current month statistics of nearly complete coverage. The current month statistics reflecting complete coverage is available on the Census website at the U.S. International Trade in Goods and Services report (FT-900) https:\/\/www.census.gov\/foreign-trade\/statistics\/historical\/index.html \n\nFor more information on data collection and methodology, see https:\/\/www.census.gov\/econ\/indicators\/methodology.html"},{"id":"AITGCBS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Advance U.S. International Trade in Goods: Balance","observation_start":"2026-05-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-26 16:09:24-05","popularity":27,"group_popularity":29,"notes":"This advance estimate represents the current month statistics of nearly complete coverage. The current month statistics reflecting complete coverage is available on the Census website at the U.S. International Trade in Goods and Services report (FT-900) https:\/\/www.census.gov\/foreign-trade\/statistics\/historical\/index.html, the corresponding series in FRED is at https:\/\/fred.stlouisfed.org\/series\/BOPGTB \n\nFor more information on data collection and methodology, see https:\/\/www.census.gov\/econ\/indicators\/methodology.html"},{"id":"BOPBCA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Current Account (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2014-06-18 08:41:28-05","popularity":18,"group_popularity":20,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBCAA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Current Account (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:28-05","popularity":4,"group_popularity":20,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBCAN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Current Account (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:28-05","popularity":2,"group_popularity":20,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBGS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Goods and Services (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2014-06-18 08:41:28-05","popularity":5,"group_popularity":10,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBGSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Goods and Services (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:28-05","popularity":7,"group_popularity":10,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBGSN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Goods and Services (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:28-05","popularity":1,"group_popularity":10,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBII","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Investment Income (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2014-06-18 08:41:27-05","popularity":3,"group_popularity":3,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBIIA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Investment Income (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:27-05","popularity":1,"group_popularity":3,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBIIN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Investment Income (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:27-05","popularity":1,"group_popularity":3,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Merchandise Trade (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2014-06-18 08:41:27-05","popularity":4,"group_popularity":6,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBMA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Merchandise Trade (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:27-05","popularity":2,"group_popularity":6,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBMN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Merchandise Trade (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:27-05","popularity":1,"group_popularity":6,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBSV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Services (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2014-06-18 08:41:27-05","popularity":2,"group_popularity":3,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBSVA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Services (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:27-05","popularity":1,"group_popularity":3,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPBSVN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance on Services (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:27-05","popularity":1,"group_popularity":3,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPCAT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Capital Account Transactions, Net (DISCONTINUED)","observation_start":"1989-10-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2014-06-18 08:41:26-05","popularity":1,"group_popularity":1,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPCATA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Capital Account Transactions, Net (DISCONTINUED)","observation_start":"1989-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:26-05","popularity":1,"group_popularity":1,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPCATN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Capital Account Transactions, Net (DISCONTINUED)","observation_start":"1989-10-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:26-05","popularity":1,"group_popularity":1,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Unilateral Transfers, Net (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2014-06-18 08:41:26-05","popularity":1,"group_popularity":1,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPGA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Unilateral Transfers, Net (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:25-05","popularity":1,"group_popularity":1,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPGN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Unilateral Transfers, Net (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2014-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2014-06-18 08:41:25-05","popularity":1,"group_popularity":1,"notes":"This series has been discontinued as a result of the comprehensive restructuring of the international economic accounts (https:\/\/apps.bea.gov\/scb\/pdf\/2014\/07%20July\/0714_annual_international_transactions_accounts.pdf). For a crosswalk of the old and new series in FRED see: http:\/\/research.stlouisfed.org\/CompRevisionReleaseID49.xlsx."},{"id":"BOPGSTB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Trade Balance: Goods and Services, Balance of Payments Basis","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-09 08:01:18-05","popularity":69,"group_popularity":69,"notes":"Further information related to the international trade data can be found at https:\/\/www.census.gov\/foreign-trade\/data\/index.html \nMethodology details can be found at https:\/\/www.census.gov\/foreign-trade\/Press-Release\/current_press_release\/explain.pdf"},{"id":"BOPGTB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Trade Balance: Goods, Balance of Payments Basis","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-09 08:00:46-05","popularity":51,"group_popularity":51,"notes":"This series represents monthly statistics of complete coverage. The advance estimate of the current month of nearly complete coverage is available on FRED at https:\/\/fred.stlouisfed.org\/series\/AITGCBS\n\nFurther information related to the international trade data can be found at https:\/\/www.census.gov\/foreign-trade\/data\/index.html \nMethodology details can be found at https:\/\/www.census.gov\/foreign-trade\/Press-Release\/current_press_release\/explain.pdf"},{"id":"BOPSTB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Trade Balance: Services, Balance of Payments Basis","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-09 08:01:19-05","popularity":21,"group_popularity":21,"notes":"Further information related to the international trade data can be found at 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Value \"monetary\" for variable tag_names does not exist."} \ No newline at end of file diff --git a/tests/fixtures/corpus/related-tags/usa.json b/tests/fixtures/corpus/related-tags/usa.json new file mode 100644 index 0000000..8af1035 --- /dev/null +++ b/tests/fixtures/corpus/related-tags/usa.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_count","sort_order":"desc","count":5945,"offset":0,"limit":10,"tags":[{"name":"nsa","group_id":"seas","notes":"Not Seasonally Adjusted","created":"2012-02-27 10:18:19-06","popularity":100,"series_count":610500},{"name":"public domain: citation requested","group_id":"cc","notes":null,"created":"2018-12-17 23:33:13-06","popularity":99,"series_count":562332},{"name":"annual","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":92,"series_count":401662},{"name":"county","group_id":"geot","notes":"County or County Equivalent","created":"2012-02-27 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+++ b/tests/fixtures/corpus/release-dates/53_desc.json @@ -0,0 +1 @@ +{"realtime_start":"1776-07-04","realtime_end":"9999-12-31","order_by":"release_date","sort_order":"desc","count":854,"offset":0,"limit":10,"release_dates":[{"release_id":53,"date":"2026-06-25"},{"release_id":53,"date":"2026-05-28"},{"release_id":53,"date":"2026-04-30"},{"release_id":53,"date":"2026-04-09"},{"release_id":53,"date":"2026-03-13"},{"release_id":53,"date":"2026-02-20"},{"release_id":53,"date":"2026-01-22"},{"release_id":53,"date":"2025-12-23"},{"release_id":53,"date":"2025-09-25"},{"release_id":53,"date":"2025-08-28"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/release-dates/53_nodata.json b/tests/fixtures/corpus/release-dates/53_nodata.json new file mode 100644 index 0000000..f52f497 --- /dev/null +++ b/tests/fixtures/corpus/release-dates/53_nodata.json @@ -0,0 +1 @@ +{"realtime_start":"1776-07-04","realtime_end":"9999-12-31","order_by":"release_date","sort_order":"asc","count":867,"offset":0,"limit":10,"release_dates":[{"release_id":53,"date":"1947-07-20"},{"release_id":53,"date":"1947-08-17"},{"release_id":53,"date":"1947-11-16"},{"release_id":53,"date":"1948-02-23"},{"release_id":53,"date":"1948-05-19"},{"release_id":53,"date":"1948-07-11"},{"release_id":53,"date":"1948-08-23"},{"release_id":53,"date":"1948-11-20"},{"release_id":53,"date":"1949-02-22"},{"release_id":53,"date":"1949-05-16"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/release-related-tags/53_usa.json b/tests/fixtures/corpus/release-related-tags/53_usa.json new file mode 100644 index 0000000..160b849 --- /dev/null +++ b/tests/fixtures/corpus/release-related-tags/53_usa.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_count","sort_order":"desc","count":442,"offset":0,"limit":10,"tags":[{"name":"bea","group_id":"src","notes":"Bureau of Economic Analysis","created":"2012-02-27 10:18:19-06","popularity":79,"series_count":12324},{"name":"public domain: citation requested","group_id":"cc","notes":null,"created":"2018-12-17 23:33:13-06","popularity":99,"series_count":12324},{"name":"nation","group_id":"geot","notes":"","created":"2012-02-27 10:18:19-06","popularity":98,"series_count":12322},{"name":"gdp","group_id":"gen","notes":"Gross Domestic Product","created":"2012-02-27 10:18:19-06","popularity":80,"series_count":12292},{"name":"nipa","group_id":"rls","notes":"National Income and Product Accounts","created":"2012-08-16 15:21:17-05","popularity":69,"series_count":12140},{"name":"nsa","group_id":"seas","notes":"Not Seasonally Adjusted","created":"2012-02-27 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+{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","filter_variable":"frequency","filter_value":"Monthly","order_by":"series_id","sort_order":"asc","count":2142,"offset":0,"limit":5,"seriess":[{"id":"CPIAPPNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Consumer Price Index for All Urban Consumers: Apparel in U.S. City Average","observation_start":"1914-12-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Index 1982-1984=100","units_short":"Index 1982-1984=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-10 08:21:00-05","popularity":12,"group_popularity":50},{"id":"CPIAPPSL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Consumer Price Index for All Urban Consumers: Apparel in U.S. City Average","observation_start":"1947-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Index 1982-1984=100","units_short":"Index 1982-1984=100","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-10 08:20:52-05","popularity":49,"group_popularity":50},{"id":"CPIAUCNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Consumer Price Index for All Urban Consumers: All Items in U.S. City Average","observation_start":"1913-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Index 1982-1984=100","units_short":"Index 1982-1984=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-10 08:20:57-05","popularity":80,"group_popularity":98,"notes":"Handbook of Methods (https:\/\/www.bls.gov\/opub\/hom\/pdf\/cpihom.pdf)\nUnderstanding the CPI: Frequently Asked Questions (https:\/\/www.bls.gov\/cpi\/questions-and-answers.htm)"},{"id":"CPIAUCSL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Consumer Price Index 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Percent changes in the price index measure the inflation rate between any two time periods. The most common inflation metric is the percent change from one year ago. It can also represent the buying habits of urban consumers. This particular index includes roughly 88 percent of the total population, accounting for wage earners, clerical workers, technical workers, self-employed, short-term workers, unemployed, retirees, and those not in the labor force.\r\n\r\nThe CPIs are based on prices for food, clothing, shelter, and fuels; transportation fares; service fees (e.g., water and sewer service); and sales taxes. Prices are collected monthly from about 4,000 housing units and approximately 26,000 retail establishments across 87 urban areas. To calculate the index, price changes are averaged with weights representing their importance in the spending of the particular group. The index measures price changes (as a percent change) from a predetermined reference date. In addition to the original unadjusted index distributed, the Bureau of Labor Statistics also releases a seasonally adjusted index. The unadjusted series reflects all factors that may influence a change in prices. However, it can be very useful to look at the seasonally adjusted CPI, which removes the effects of seasonal changes, such as weather, school year, production cycles, and holidays.\r\n\r\nThe CPI can be used to recognize periods of inflation and deflation. Significant increases in the CPI within a short time frame might indicate a period of inflation, and significant decreases in CPI within a short time frame might indicate a period of deflation. However, because the CPI includes volatile food and oil prices, it might not be a reliable measure of inflationary and deflationary periods. For a more accurate detection, the core CPI (CPILFESL (https:\/\/fred.stlouisfed.org\/series\/CPILFESL)) is often used. When using the CPI, please note that it is not applicable to all consumers and should not be used to determine relative living costs. Additionally, the CPI is a statistical measure vulnerable to sampling error since it is based on a sample of prices and not the complete average.\r\n\r\nFor more information on the CPI, see the Handbook of Methods (https:\/\/www.bls.gov\/opub\/hom\/cpi\/), the release notes and announcements (https:\/\/www.bls.gov\/cpi\/), and the Frequently Asked Questions (https:\/\/www.bls.gov\/cpi\/questions-and-answers.htm) (FAQs)."},{"id":"CPIEDUNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Consumer Price Index for All Urban Consumers: Education and Communication in U.S. City Average","observation_start":"1993-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Index Dec 1997=100","units_short":"Index Dec 1997=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-10 08:21:07-05","popularity":3,"group_popularity":24}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/release-series/53.json b/tests/fixtures/corpus/release-series/53.json new file mode 100644 index 0000000..6b2dc94 --- /dev/null +++ b/tests/fixtures/corpus/release-series/53.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_id","sort_order":"asc","count":12715,"offset":0,"limit":5,"seriess":[{"id":"A001RD3A086NBEA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gross national product (implicit price deflator)","observation_start":"1929-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-09 07:58:29-05","popularity":6,"group_popularity":6,"notes":"BEA Account Code: A001RD\n\nFor more information about this series, please see http:\/\/www.bea.gov\/national\/."},{"id":"A001RG3A086NBEA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gross national product (chain-type price index)","observation_start":"1929-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-09 07:58:28-05","popularity":9,"group_popularity":10,"notes":"BEA Account Code: A001RG\n\nFor more information about this series, please see http:\/\/www.bea.gov\/national\/."},{"id":"A001RI1A225NBEA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gross National Product: Implicit Price Deflator","observation_start":"1930-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Preceding Period","units_short":"% Chg. from Preceding Period","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-09 08:00:11-05","popularity":5,"group_popularity":36,"notes":"BEA Account Code: A001RI\n\nFor more information about this series, please see http:\/\/www.bea.gov\/national\/."},{"id":"A001RI1Q225SBEA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gross National Product: Implicit Price Deflator","observation_start":"1947-04-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Percent Change from Preceding Period","units_short":"% Chg. from Preceding Period","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-06-25 07:52:36-05","popularity":10,"group_popularity":36,"notes":"BEA Account Code: A001RI\n\nFor more information about this series, please see http:\/\/www.bea.gov\/national\/."},{"id":"A001RL1A225NBEA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross National Product","observation_start":"1930-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Preceding Period","units_short":"% Chg. from Preceding Period","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-09 07:58:13-05","popularity":1,"group_popularity":27,"notes":"BEA Account Code: A001RL\n\nFor more information about this series, please see http:\/\/www.bea.gov\/national\/."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/release-sources/10.json b/tests/fixtures/corpus/release-sources/10.json new file mode 100644 index 0000000..b64a390 --- /dev/null +++ b/tests/fixtures/corpus/release-sources/10.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","sources":[{"id":22,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Bureau of Labor Statistics","link":"https:\/\/www.bls.gov\/"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/release-sources/53.json b/tests/fixtures/corpus/release-sources/53.json new file mode 100644 index 0000000..1bd7ce3 --- /dev/null +++ b/tests/fixtures/corpus/release-sources/53.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-04","realtime_end":"2026-07-04","sources":[{"id":18,"realtime_start":"2026-07-04","realtime_end":"2026-07-04","name":"U.S. Bureau of Economic Analysis","link":"http:\/\/www.bea.gov\/"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/release-tables/175_maybe-no-tables.json b/tests/fixtures/corpus/release-tables/175_maybe-no-tables.json new file mode 100644 index 0000000..3360b95 --- /dev/null +++ b/tests/fixtures/corpus/release-tables/175_maybe-no-tables.json @@ -0,0 +1 @@ +{"release_id":"175","elements":{"266090":{"element_id":266090,"release_id":175,"series_id":null,"parent_id":null,"line":null,"type":"section","name":"Per Capita Personal Income by County, Annual","level":"0","children":[]},"269275":{"element_id":269275,"release_id":175,"series_id":null,"parent_id":null,"line":null,"type":"section","name":"Personal Income by County, Annual","level":"0","children":[]}}} \ No newline at end of file diff --git a/tests/fixtures/corpus/release-tables/53.json b/tests/fixtures/corpus/release-tables/53.json new file mode 100644 index 0000000..9e1d81d --- /dev/null +++ b/tests/fixtures/corpus/release-tables/53.json @@ -0,0 +1 @@ +{"release_id":"53","elements":{"13690":{"element_id":13690,"release_id":53,"series_id":null,"parent_id":null,"line":null,"type":"section","name":"Section 1 - Domestic Product and Income","level":"0","children":[]},"4081":{"element_id":4081,"release_id":53,"series_id":null,"parent_id":null,"line":null,"type":"section","name":"Section 2 - Personal Income and Outlays","level":"0","children":[]},"5221":{"element_id":5221,"release_id":53,"series_id":null,"parent_id":null,"line":null,"type":"section","name":"Section 3 - 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diff --git a/tests/fixtures/corpus/release-tables/53_with-values.json b/tests/fixtures/corpus/release-tables/53_with-values.json new file mode 100644 index 0000000..9e1d81d --- /dev/null +++ b/tests/fixtures/corpus/release-tables/53_with-values.json @@ -0,0 +1 @@ +{"release_id":"53","elements":{"13690":{"element_id":13690,"release_id":53,"series_id":null,"parent_id":null,"line":null,"type":"section","name":"Section 1 - Domestic Product and Income","level":"0","children":[]},"4081":{"element_id":4081,"release_id":53,"series_id":null,"parent_id":null,"line":null,"type":"section","name":"Section 2 - Personal Income and Outlays","level":"0","children":[]},"5221":{"element_id":5221,"release_id":53,"series_id":null,"parent_id":null,"line":null,"type":"section","name":"Section 3 - Government Current Receipts and Expenditures","level":"0","children":[]},"5402":{"element_id":5402,"release_id":53,"series_id":null,"parent_id":null,"line":null,"type":"section","name":"Section 4 - Foreign 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@@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_count","sort_order":"desc","count":445,"offset":0,"limit":10,"tags":[{"name":"bea","group_id":"src","notes":"Bureau of Economic Analysis","created":"2012-02-27 10:18:19-06","popularity":79,"series_count":12640},{"name":"public domain: citation requested","group_id":"cc","notes":null,"created":"2018-12-17 23:33:13-06","popularity":99,"series_count":12640},{"name":"gdp","group_id":"gen","notes":"Gross Domestic Product","created":"2012-02-27 10:18:19-06","popularity":80,"series_count":12608},{"name":"nipa","group_id":"rls","notes":"National Income and Product Accounts","created":"2012-08-16 15:21:17-05","popularity":69,"series_count":12456},{"name":"usa","group_id":"geo","notes":"United States of America","created":"2012-02-27 10:18:19-06","popularity":100,"series_count":12426},{"name":"nation","group_id":"geot","notes":"","created":"2012-02-27 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The survey is a national sample of small businesses, or firms with fewer than 500 employees, aimed at providing insight into firms' financing and debt needs and experiences. Its reports focus attention on growing and changing segments of the small business market, including startups, minority-owned firms, women-owned firms, rural firms, and the self-employed and gig workers."},{"id":2,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Risk-On Risk-Off Index","press_release":true,"link":"https:\/\/www.kansascityfed.org\/data-and-trends\/risk-on-risk-off-index\/","notes":"The Risk-On Risk-Off (RORO) Index uses daily data from asset markets in the United States and euro area to measure the variation in global investors\u2019 risk appetites."},{"id":3,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Treasury International Capital: Continuous Securities Long Term (SLT)","press_release":false,"link":"https:\/\/home.treasury.gov\/data\/treasury-international-capital-tic-system"},{"id":4,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Kansas City Fed Policy Rate Skew","press_release":true,"link":"https:\/\/www.kansascityfed.org\/data-and-trends\/kansas-city-fed-policy-rate-skew\/","notes":"The Kansas City Fed\u2019s Measure of Policy Rate Skew (KC PRS) is a daily measure of how financial markets perceive the balance of risks to short-term U.S. interest rates one year in the future. 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Each month, questionnaires are mailed to a probability sample of approximately 4,700 employer firms selected from the larger Monthly Retail Trade Survey. Advance sales estimates are computed using a link relative estimator. For each detailed industry, we compute a ratio of current-to previous month weighted sales using data from units for which we have obtained usable responses for both the current and previous month. For each detailed industry, the advance total sales estimates for the current month is computed by multiplying this ratio by the preliminary sales estimate for the previous month (derived from the larger MRTS) at the appropriate industry level. Total estimates for broader industries are computed as the sum of the detailed industry estimates. The link relative estimate is used because imputation is not performed for most nonrespondents in MARTS. For a limited number of nonresponding companies that have influential effects on the estimates, sales may be estimated based on historical performance of that company. The monthly estimates are benchmarked to the annual survey estimates from the Annual Retail Trade Survey once available. The estimates are adjusted for seasonal variation and holiday and trading day differences. Additional information on MARTS and MRTS can be found on the Census Bureau website at: www.census.gov\/retail.\r\nDescription of the survey as provided by the Census, https:\/\/census.gov\/retail\/marts\/www\/marts_current.pdf"},{"id":10,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Consumer Price Index","press_release":true,"link":"http:\/\/www.bls.gov\/cpi\/"},{"id":11,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Employment Cost Index","press_release":true,"link":"http:\/\/www.bls.gov\/ncs\/ect"},{"id":13,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.17 Industrial Production and Capacity Utilization","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/g17\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g17\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":14,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.19 Consumer Credit","press_release":true,"link":"https:\/\/www.federalreserve.gov\/releases\/g19\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g19\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":15,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.5 Foreign Exchange Rates","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/g5\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g5\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":17,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.10 Foreign Exchange Rates","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h10\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h10\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":18,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.15 Selected Interest Rates","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h15\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":19,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.3 Aggregate Reserves of Depository Institutions and the Monetary Base","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h3\/","notes":"The Board of Governors discontinued the H.3 statistical release on September 17, 2020. For more information, please see the announcement posted on August 20, 2020 (https:\/\/www.federalreserve.gov\/feeds\/h3.html)."},{"id":20,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.4.1 Factors Affecting Reserve Balances","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h41\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h41\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":21,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.6 Money Stock Measures","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h6\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":22,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.8 Assets and Liabilities of Commercial Banks in the United States","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h8\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h8\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":25,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Manufacturing and Trade Inventories and Sales","press_release":true,"link":"http:\/\/www.census.gov\/mtis\/www\/mtis.html","notes":"The Manufacturing and Trade Inventories and Sales estimates are based on data from three surveys: the Monthly Retail Trade Survey, the Monthly Wholesale Trade Survey, and the Manufacturers\u2019 Shipments, Inventories, and Orders Survey. Data for the wholesale and manufacturing sectors are unrevised from the most recent Monthly Wholesale Trade Report and the Full Report on Manufacturers\u2019 Shipments, Inventories and orders. Data from the Retail sector is revised and presented in more detail from the most recent Advance Economic Indicators Report. For more information on these surveys see the links at: www.census.gov\/retail\/, www.census.gov\/wholesale\/, and www.census.gov\/manufacturing\/m3\/.\r\nDescription of the survey as provided by the Census, https:\/\/census.gov\/mtis\/www\/data\/pdf\/mtis_current.pdf."},{"id":27,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"New Residential Construction","press_release":true,"link":"http:\/\/www.census.gov\/construction\/nrc\/"},{"id":46,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Producer Price Index","press_release":true,"link":"http:\/\/www.bls.gov\/ppi\/"},{"id":47,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Productivity and Costs","press_release":true,"link":"http:\/\/www.bls.gov\/lpc\/"},{"id":49,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. International Transactions","press_release":true,"link":"https:\/\/www.bea.gov\/data\/intl-trade-investment\/international-transactions"},{"id":50,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Employment Situation","press_release":true,"link":"http:\/\/www.bls.gov\/ces\/"},{"id":51,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. International Trade in Goods and Services","press_release":true,"link":"https:\/\/www.census.gov\/foreign-trade\/Press-Release\/current_press_release\/index.html"},{"id":52,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Z.1 Financial Accounts of the United States","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/z1\/","notes":"The Financial Accounts (formerly known as the Flow of Funds accounts) are a set of financial accounts used to track the sources and uses of funds by sector. They are a component of a system of macroeconomic accounts including the National Income and Product accounts (NIPA) and balance of payments accounts, all of which serve as a comprehensive set of information on the economy\u2019s performance.(1) Some important inferences that can be drawn from the Financial accounts are the financial strength of a given sector, new economic trends, changes in the composition of wealth, and development of new financial instruments over time.(1)\r\nSectors are compiled into three categories: households, nonfinancial businesses, and banks. The sources of funds for a sector are its internal funds (savings from income after consumption) and external funds (loans from banks and other financial intermediaries). (1) Funds for a given sector are used for its investments in physical and financial assets. Dividing sources and uses of funds into two categories helps the staff of the Federal Reserve System pay particular attention to external sources of funds and financial uses of funds.(2) One example is whether households are borrowing more from banks\u2014or in other words, whether household debt is rising. Another example might be whether banks are using more of their funds to provide loans to consumers. Transactions within a sector are not shown in the accounts; however, transactions between sectors are.(2) Monitoring the external flows of funds provides insights into a sector\u2019s health and the performance of the economy as a whole. \r\nData for the Financial accounts are compiled from a large number of reports and publications, including regulatory reports such as those submitted by banks, tax filings, and surveys conducted by the Federal Reserve System.(2) The Financial accounts are published quarterly as a set of tables in the Federal Reserve\u2019s Z.1 statistical release.\r\n(1)\tTeplin, Albert M. \u201cThe U.S. Flow of Funds Accounts and Their Uses.\u201d Federal Reserve Bulletin, July 2001; http:\/\/www.federalreserve.gov\/pubs\/bulletin\/2001\/0701lead.pdf.\r\n(2)\tBoard of Governors of the Federal Reserve System. \u201cGuide to the Flow of Funds Accounts.\u201d 2000, http:\/\/www.federalreserve.gov\/apps\/fof\/.\r\n\r\nFor questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/z1\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":53,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Gross Domestic Product","press_release":true,"link":"https:\/\/www.bea.gov\/data\/gdp\/gross-domestic-product"},{"id":54,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Personal Income and Outlays","press_release":true,"link":"https:\/\/www.bea.gov\/data\/income-saving\/personal-income"},{"id":55,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Reports of Condition and Income for All Insured U.S. Commercial Banks","press_release":true,"link":"https:\/\/cdr.ffiec.gov\/public\/"},{"id":59,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"National Population 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These data are based on the Current Population Survey (CPS), the household survey that is the source of the national unemployment rate. For more details, see the frequently asked questions here: https:\/\/www.bls.gov\/lau\/laufaq.htm."},{"id":118,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Annual Estimates of the Population for the U.S. and States, and for Puerto Rico","press_release":false,"link":"http:\/\/www.census.gov\/popest\/"},{"id":119,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Annual Estimates of the Population for Counties","press_release":false,"link":"http:\/\/www.census.gov\/popest\/"},{"id":121,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.6 Historical Data","press_release":false,"link":"http:\/\/www.federalreserve.gov\/releases\/h6\/hist\/"},{"id":122,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.4.1 Factors Affecting Reserve Balances (data not included in press release)","press_release":false},{"id":131,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.13 Selected Interest Rates","press_release":true,"link":"http:\/\/federalreserve.gov\/releases\/g13\/","notes":"With the issue dated January 8, 2002 (containing data for December 2001), the Federal Reserve ceased publication of the monthly G.13 statistical release. Monthly interest rates continue to be available on the H.15 release."},{"id":138,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"BEA Regions Employment and Unemployment","press_release":false},{"id":140,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Gross Domestic Product by State","press_release":true,"link":"https:\/\/www.bea.gov\/data\/gdp\/gdp-state"},{"id":143,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Annual Survey of State Government Tax Collections","press_release":false,"link":"https:\/\/www.census.gov\/programs-surveys\/stc.html"},{"id":144,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Residential Vacancies and Homeownership Annual Statistics","press_release":false,"link":"http:\/\/www.census.gov\/housing\/hvs\/"},{"id":148,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Housing Units Authorized By Building Permits","press_release":false,"link":"https:\/\/www.census.gov\/construction\/bps\/"},{"id":152,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Health Insurance Coverage","press_release":false,"link":"https:\/\/www.census.gov\/data\/tables\/time-series\/demo\/health-insurance\/historical-series\/hib.html"},{"id":153,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"BEA Regions Health Insurance Coverage","press_release":false,"link":"http:\/\/www.census.gov\/data\/tables\/time-series\/demo\/health-insurance\/historical-series\/hib.html"},{"id":165,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Australian Foreign Exchange Transactions","press_release":false},{"id":166,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"German Foreign Exchange Intervention","press_release":false},{"id":167,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Italian Foreign Exchange Intervention","press_release":false},{"id":168,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Swiss Foreign Exchange Intervention","press_release":false},{"id":169,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Turkish Foreign Exchange Intervention","press_release":false},{"id":170,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Foreign Exchange Intervention","press_release":false},{"id":171,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"House Price Index","press_release":false,"link":"http:\/\/www.fhfa.gov\/DataTools\/Downloads\/Pages\/House-Price-Index.aspx"},{"id":172,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Japan Foreign Exchange Intervention","press_release":false,"link":"http:\/\/www.mof.go.jp\/english\/international_policy\/reference\/feio\/"},{"id":173,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"BEA Regions Housing Units Authorized By Building 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Report","press_release":true,"link":"http:\/\/www.dol.gov\/ui\/data.pdf"},{"id":183,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Gasoline and Diesel Fuel Update","press_release":false,"link":"http:\/\/www.eia.gov\/petroleum\/gasdiesel\/"},{"id":185,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Interest Rate on Reserve Balances","press_release":false,"link":"http:\/\/www.federalreserve.gov\/monetarypolicy\/reqresbalances.htm","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/monetarypolicy\/reserve-balances.htm\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":186,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.5A Foreign Exchange Rates","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/g5a\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g5a\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":187,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"St. Louis Fed Financial Stress Index","press_release":false,"notes":"To obtain detailed information regarding the construction of the St. Louis Financial Stress Index, please see the online appendix at\r\nhttps:\/\/files.stlouisfed.org\/files\/htdocs\/publications\/net\/NETJan2010Appendix.pdf"},{"id":188,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Import and Export Price Indexes","press_release":true,"link":"http:\/\/www.bls.gov\/mxp\/"},{"id":189,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Standard & 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https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":192,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Job Openings and Labor Turnover Survey","press_release":true,"link":"http:\/\/www.bls.gov\/jlt\/"},{"id":193,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Money Velocity","press_release":false},{"id":194,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"ADP National Employment Report","press_release":true,"link":"http:\/\/www.adpemploymentreport.com\/"},{"id":197,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Dow Jones Averages","press_release":false,"link":"https:\/\/us.spindices.com\/index-family\/us-equity\/dow-jones-averages"},{"id":198,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Kansas City Financial Stress 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In addition to the coincident index, the models include other variables that lead the economy: state-level housing permits (1 to 4 units), state initial unemployment insurance claims, delivery times from the Institute for Supply Management (ISM) manufacturing survey, and the interest rate spread between the 10-year Treasury bond and the 3-month Treasury bill."},{"id":209,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"ICE BofA Indices","press_release":false,"link":"https:\/\/www.theice.com\/market-data\/indices"},{"id":212,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Spot Prices","press_release":false,"link":"https:\/\/www.eia.gov\/dnav\/pet\/pet_pri_spt_s1_d.htm"},{"id":216,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"E.2 Survey of Terms of Business Lending","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/e2\/","notes":"The Board of Governors has discontinued the Survey of Terms of Business Lending (STBL) and the associated E.2 release. The final STBL was conducted in May 2017, and the final E.2 was released on August 2, 2017. The STBL has been replaced by a new Small Business Lending Survey that commenced in February 2018. The new survey is being managed and administered by the Federal Reserve Bank of Kansas City. Results from this new survey can be found at https:\/\/www.kansascityfed.org\/surveys\/small-business-lending-survey\/2020q1-small-business-commercial-and-industrial-loan-balances-increase-year-over-year\/\r\n\r\nThese data were collected during the middle month of each quarter and were released in the middle of the succeeding month."},{"id":219,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Chicago Fed National Activity Index","press_release":true,"link":"https:\/\/www.chicagofed.org\/research\/data\/cfnai\/current-data"},{"id":221,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Chicago Fed National Financial Conditions Index","press_release":false,"link":"https:\/\/www.chicagofed.org\/publications\/nfci\/index"},{"id":228,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Quarterly Starts and Completions by Purpose and Design","press_release":false,"link":"http:\/\/www.census.gov\/construction\/nrc\/pdf\/quarterly_starts_completions.pdf"},{"id":229,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Construction Spending","press_release":true,"link":"http:\/\/www.census.gov\/construction\/c30\/c30index.html"},{"id":230,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"International Comparisons of Manufacturing Productivity and Unit Labor Cost Trends","press_release":true,"link":"http:\/\/www.bls.gov\/ilc\/#productivity"},{"id":231,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Charge-Off and Delinquency Rates on Loans and Leases at Commercial Banks","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/chargeoff\/default.htm","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/chargeoff\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":234,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"World Development Indicators","press_release":false,"link":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0037712","notes":"The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates."},{"id":236,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Monthly Housing Affordability Index","press_release":true,"link":"https:\/\/www.nar.realtor\/research-and-statistics\/housing-statistics\/housing-affordability-index"},{"id":238,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Financial Soundness Indicators","press_release":false,"link":"http:\/\/data.imf.org\/?sk=9F855EAE-C765-405E-9C9A-A9DC2C1FEE47","notes":"The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with the aim of supporting macroprudential analysis and assessing strengths and vulnerabilities of financial systems.\r\n \r\nThe website, hosted by the Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the \u201cConcepts and Definitions\u201d document (http:\/\/data.imf.org\/?sk=9F855EAE-C765-405E-9C9A-A9DC2C1FEE47). The Statistics Department will steadily increase the number of countries reporting FSIs for dissemination on this site.\r\n\r\nReporting countries compile FSI data presented on this website by using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata (http:\/\/data.imf.org\/?sk=9F855EAE-C765-405E-9C9A-A9DC2C1FEE47) to conduct more meaningful cross-country comparisons or to assess the evolution of a given FSI for any of the countries."},{"id":239,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"International Financial Statistics","press_release":false,"link":"http:\/\/www.imf.org\/external\/data.htm"},{"id":240,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"World Economic Outlook","press_release":false,"link":"http:\/\/www.imf.org\/external\/ns\/cs.aspx?id=28","notes":"The World Economic Outlook (WEO) database is created during the biannual WEO exercise, which begins in January and June of each year and results in the April and September WEO publication. Selected series from the publication are available in a database format.\r\n\r\nSee also, the World Economic Outlook Reports (http:\/\/www.imf.org\/external\/ns\/cs.aspx?id=29)."},{"id":242,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Recession Indicators Series","press_release":false,"link":"http:\/\/www.oecd.org\/std\/leading-indicators\/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm","notes":"These time series are an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http:\/\/www.nber.org\/cycles\/cyclesmain.html and Organisation of Economic Development (OECD) Composite Leading Indicators: Reference Turning Points and Component Series data provided by the OECD at http:\/\/www.oecd.org\/std\/leading-indicators\/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm. Our time series are composed of dummy variables that represent periods of expansion and recession. The NBER identifies months and quarters, while the OECD identifies months, of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee or the OECD. A value of 1 is a recessionary period, while a value of 0 is an expansionary period.\r\n\r\nThe recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period. \r\n\r\nThe first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications.\r\n\r\nThe second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs.\r\n\r\nThe third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data."},{"id":245,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Summary Measures of the Foreign Exchange Value of the Dollar","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h10\/summary\/default.htm"},{"id":249,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Income and Poverty in the United States","press_release":true,"link":"https:\/\/www.census.gov\/topics\/income-poverty.html"},{"id":251,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Harmonized Indices of Consumer Prices (HICP)","press_release":false,"link":"https:\/\/ec.europa.eu\/eurostat\/web\/hicp","notes":"The harmonized index of consumer prices (HICP) is a measure of inflation that is comparable across all countries in the European Union. The HICP is published for all 12 categories of the European classification of individual consumption according to purpose (ECOICOP) that are covered by the HICP."},{"id":254,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Travel Volume Trends","press_release":false,"link":"http:\/\/www.fhwa.dot.gov\/policyinformation\/travel_monitoring\/tvt.cfm"},{"id":257,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"NBER Macrohistory Database","press_release":false,"link":"http:\/\/www.nber.org\/macrohistory\/"},{"id":258,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Penn World Table 7.1","press_release":false,"link":"http:\/\/www.rug.nl\/research\/ggdc\/data\/pwt\/pwt-7.1"},{"id":260,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"CredAbility Consumer Distress Index","press_release":false,"link":"http:\/\/www.clearpoint.org\/resource-center\/consumer-distress-index\/"},{"id":261,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Recession Probabilities","press_release":true,"link":"https:\/\/jeremypiger.com\/recession_probs\/"},{"id":262,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Failures and Assistance Transactions","press_release":false,"link":"https:\/\/banks.data.fdic.gov\/explore\/failures?aggReport=detail&displayFields=NAME%2CCERT%2CFIN%2CCITYST%2CFAILDATE%2CSAVR%2CRESTYPE%2CCOST%2CRESTYPE1%2CCHCLASS1%2CQBFDEP%2CQBFASSET&endFailYear=2021&sortField=FAILDATE&sortOrder=desc&startFailYear=2012"},{"id":263,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Debt to Gross Domestic Product Ratios","press_release":false,"notes":"These series are constructed using debt, deficit, and nominal GDP series."},{"id":264,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Weekly U.S. and State Bond Prices, 1855-1865","press_release":false,"notes":"The data collection consists of weekly observations of bond prices for U.S. and state bonds from January 1855 through November 1865. The data are drawn from the \u201cNotes on the Money Market\u201d section of The Bankers\u2019 Magazine and Statistical Register; due to limitations of the magazine, The New York Times\u2019 summary of daily trading on the New York Stock Exchange was used to complete each series in the best possible manner.\r\n\r\nFor a more thorough explanation of the collection as well as how it is understood in a historical context, see:\r\nDwyer, G.P, Jr., R.W. Hafer and W.E. Weber. (1999) \u201cWeekly U.S. and State Bond Prices, 1855-1865,\u201d Historical Methods (32:1): 37-42."},{"id":266,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Bank of Japan Accounts","press_release":true,"link":"http:\/\/www.boj.or.jp\/en\/statistics\/boj\/other\/ac\/index.htm\/"},{"id":267,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"National Accounts - GDP (Eurostat)","press_release":true,"link":"https:\/\/ec.europa.eu\/eurostat\/web\/national-accounts"},{"id":268,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"United Kingdom Main Aggregates of National Accounts","press_release":true,"link":"http:\/\/www.ons.gov.uk\/ons\/taxonomy\/search\/index.html?newquery=*&nscl=Main+Aggregates+of+National+Accounts&nscl-orig=Main+Aggregates+of+National+Accounts&content-type=publicationContentTypes&sortDirection=DESCENDING&sortBy=pubdate"},{"id":269,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"National Accounts of Japan","press_release":true,"link":"http:\/\/www.esri.cao.go.jp\/en\/sna\/menu.html"},{"id":270,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Bankstats (Monetary & Financial Statistics)","press_release":true,"link":"https:\/\/www.bankofengland.co.uk\/statistics\/tables"},{"id":271,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Weekly Financial Statements of the Eurosystem","press_release":true,"link":"https:\/\/www.ecb.europa.eu\/press\/annual-reports-financial-statements\/wfs\/html\/index.en.html"},{"id":274,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"University of Louisville and Oklahoma State University: LoDI National Index","press_release":true,"link":"http:\/\/uofllogistics.org\/?project=the-lodi-index","notes":"The LoDI Index uses linear regression analysis to combine cargo volume data from rail, barge, air, and truck transit, along with various economic factors. The resulting indicator is designed to predict upcoming changes in the level of logistics and distribution activity in the US and is represented by a value between 1 and 100. An index at or above 50 represents a healthy level of activity in the industry\r\n\r\nThe Greater Louisville and National LoDI Indices were developed by researchers at the University of Louisville. Please contact Dr. Heragu (sunderesh.heragu@okstate.edu), now IE&M Department Head at Oklahoma State University, or Dr. DePuy (depuy@louisville.edu) for additional information."},{"id":275,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Global Financial Development","press_release":false,"link":"https:\/\/www.worldbank.org\/en\/publication\/gfdr"},{"id":279,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Economic Policy Uncertainty","press_release":false,"link":"http:\/\/www.policyuncertainty.com\/"},{"id":280,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Cass Freight Index Report","press_release":true,"link":"http:\/\/www.cassinfo.com\/Transportation-Expense-Management\/Supply-Chain-Analysis\/Transportation-Indexes\/Cass-Freight-Index.aspx"},{"id":281,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Supplemental Estimates, Underlying Detail Tables","press_release":true,"link":"https:\/\/apps.bea.gov\/iTable\/index_UD.cfm"},{"id":282,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Supplemental Estimates, Underlying Detail Tables, Spliced Series","press_release":false},{"id":283,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.3 Aggregate Reserves of Depository Institutions and the Monetary Base (data not included in press release)","press_release":false,"notes":"The Board of Governors discontinued the H.3 statistical release on September 17, 2020. For more information, please see the announcement posted on August 20, 2020 (https:\/\/www.federalreserve.gov\/feeds\/h3.html)."},{"id":285,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Penn World Table 11.0","press_release":true,"link":"https:\/\/www.rug.nl\/ggdc\/productivity\/pwt\/"},{"id":286,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Federal Recovery Programs and BEA Statistics","press_release":true,"link":"https:\/\/www.bea.gov\/recovery"},{"id":287,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Nikkei Indexes","press_release":false,"link":"http:\/\/indexes.nikkei.co.jp\/en\/nkave\/index\/profile?idx=nk225"},{"id":288,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Quarterly Services Survey","press_release":true,"link":"http:\/\/www.census.gov\/services\/"},{"id":289,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Service Annual Survey","press_release":true,"link":"https:\/\/www.census.gov\/programs-surveys\/sas.html"},{"id":290,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Monthly Wholesale Trade: Sales and Inventories","press_release":true,"link":"http:\/\/www.census.gov\/wholesale\/index.html","notes":"The Census Bureau conducts the Monthly Wholesale Trade Survey (MWTS) to provide national estimates of monthly sales, end-of-month inventories, and inventories-to-sales ratios by kind of business for wholesale firms located in the United States. Specifically, the MWTS covers wholesale merchants who sell goods on their own account and include such businesses as wholesale merchants or jobbers, industrial distributors, exporters, and importers. Sales offices and branches maintained by manufacturing, refining, or mining firms for the purpose of marketing their products are not covered in this report. Also excluded is NAICS Industry Group 4251: Wholesale Electronic Markets and Agents and Brokers. (Description of the survey as provided by the Census, http:\/\/www2.census.gov\/wholesale\/pdf\/mwts\/currentwhl.pdf)"},{"id":291,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Existing Home Sales","press_release":true,"link":"http:\/\/www.realtor.org\/topics\/existing-home-sales"},{"id":292,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Chicago Fed Midwest Manufacturing Index","press_release":true,"link":"https:\/\/www.chicagofed.org\/publications\/cfmmi\/index","notes":"The Chicago Fed Midwest Manufacturing Index (CFMMI) is a monthly estimate by major industry of manufacturing output in the Seventh Federal Reserve District states of lllinois, Indiana, Iowa, Michigan and Wisconsin. It is a composite index of 15 manufacturing industries that uses hours worked data to measure monthly changes in regional activity."},{"id":295,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Sticky Wages and Sectoral Labor Comovement","press_release":false,"link":"http:\/\/dx.doi.org\/10.1016\/j.jedc.2008.08.003"},{"id":296,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Housing Vacancies and Homeownership","press_release":true,"link":"http:\/\/www.census.gov\/housing\/hvs\/"},{"id":298,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Texas Employment Data","press_release":true,"link":"http:\/\/www.dallasfed.org\/research\/econdata\/tx-emp.cfm"},{"id":301,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Real Money Stock Measures","press_release":false},{"id":302,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Cleveland Financial Stress Index","press_release":true,"link":"https:\/\/www.clevelandfed.org\/en\/newsroom-and-events\/publications\/economic-commentary\/economic-commentary-archives\/2012-economic-commentaries\/ec-201204-the-cleveland-financial-stress-index-a-tool-for-monitoring-financial-stability.aspx","notes":"The CFSI is a coincident indicator of systemic stress, where a high value of CFSI indicates high systemic financial stress. Units of CFSI are expressed as standardized differences from the mean (z-scores).\r\nThe CFSI tracks stress in six types of markets: credit markets, equity markets, foreign exchange markets, funding markets, real estate markets, and securitization markets."},{"id":304,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Interest Rate Spreads","press_release":false},{"id":305,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Swiss National Bank Monthly Statistical Bulletin","press_release":true,"link":"https:\/\/data.snb.ch\/en"},{"id":306,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Swiss National Bank Historical Time Series","press_release":true,"link":"https:\/\/www.snb.ch\/en\/iabout\/stat\/statrep\/statpubdis\/id\/statpub_histz_arch#t3","notes":"The series in this release are historical data updated on an infrequent basis.\r\n\r\nMore details about the definitions of the series can be found at http:\/\/www.snb.ch\/en\/mmr\/reference\/banken_book\/source."},{"id":308,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"State and Metro Area Employment, Hours, and Earnings","press_release":false,"link":"http:\/\/www.bls.gov\/sae\/","notes":"The Bureau of Labor Statistics (BLS) produces all of the unadjusted series in this release. The BLS only produces a selection of seasonally adjusted data; the remaining series are adjusted by The Federal Reserve Bank of St. Louis. Users of these data will find details of the adjustment method and which institution made the adjustment in the series notes."},{"id":311,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Currency and Coin Services","press_release":false,"link":"http:\/\/www.federalreserve.gov\/paymentsystems\/coin_data.htm"},{"id":313,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Sticky Price CPI","press_release":true,"link":"https:\/\/www.frbatlanta.org\/research\/inflationproject\/stickyprice\/"},{"id":315,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Current Median CPI","press_release":true,"link":"https:\/\/www.clevelandfed.org\/indicators-and-data\/median-cpi"},{"id":316,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.20 Finance Companies","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/g20\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g20\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":317,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"National Rates and Rate Caps - Monthly Update","press_release":false,"link":"http:\/\/www.fdic.gov\/regulations\/resources\/rates\/index.html"},{"id":319,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"BIS Effective Exchange Rate Indices","press_release":false,"link":"https:\/\/www.bis.org\/statistics\/eer\/index.htm"},{"id":320,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Tech Pulse","press_release":true,"link":"https:\/\/www.frbsf.org\/economic-research\/publications\/economic-letter\/2009\/january\/tech-pulse-index\/","notes":"The Tech Pulse Index is a coincidence index of activity in the U.S. information technology sector. The index interpreted as the health of the tech sector. The indicators used to compute the index include investment in IT goods, consumption of personal computers and software, employment in the IT sector, industrial production of the technology sector, and shipments by the technology sector. For further information, please visit the Tech Pulse webpage at the Federal Reserve Bank of San Francisco at: https:\/\/www.frbsf.org\/economic-research\/publications\/economic-letter\/2009\/january\/tech-pulse-index\/."},{"id":321,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Empire State Manufacturing Survey","press_release":true,"link":"http:\/\/www.newyorkfed.org\/survey\/empire\/empiresurvey_overview.html","notes":"Participants from across the state in a variety of industries respond to a questionnaire and report the change in a variety of indicators from the previous month. Respondents also state the likely direction of these same indicators six months ahead. April 2002 is the first report, although survey data date back to July 2001.\r\n\r\nThe survey is sent on the first day of each month to the same pool of about 200 manufacturing executives in New York State, typically the president or CEO. About 100 responses are received. Most are completed by the tenth, although surveys are accepted until the fifteenth."},{"id":322,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Business Leaders Survey","press_release":true,"link":"http:\/\/www.newyorkfed.org\/survey\/business_leaders\/bls_overview.html","notes":"The Business Leaders Survey is a monthly survey conducted by the Federal Reserve Bank of New York that asks companies across its District \u2013 which includes New York State, Northern New Jersey, and Fairfield County, Connecticut \u2013 about recent and expected trends in key business indicators. This survey is designed to parallel the Empire State Manufacturing Survey, though it covers a wider geography and the questions are slightly different. Participants from the service sector respond to a questionnaire and report on a variety of indicators' both in terms of recent and expected changes. While January 2014 is the first published report, survey responses date back to September of 2004 and all historical data are available on our website.\r\n\r\nThe survey is sent on the first business day of each month to the same pool of about 150 business executives, usually the president or CEO, in the region's service sector. In a typical month, about 100 responses are received by around the tenth of the month when the survey closes.\r\n\r\nRespondents come from a wide range of industries outside of the manufacturing sector, with the mix of respondents closely resembling the industry structure of the region. \r\n\r\nThe survey's headline index, general business activity, is a distinct question posed on the survey (as opposed to a composite of responses to other questions). Currently, no indexes are seasonally adjusted since none of the series exhibits stable seasonal patterns from a statistical perspective."},{"id":323,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Trimmed Mean PCE Inflation Rate","press_release":true,"link":"http:\/\/www.dallasfed.org\/research\/pce\/","notes":"The Trimmed Mean PCE inflation rate is an alternative measure of core inflation in the price index for personal consumption expenditures (PCE). It is calculated by staff at the Dallas Fed, using data from the Bureau of Economic Analysis (BEA)."},{"id":325,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Credit to Non-Financial Sector","press_release":false,"link":"https:\/\/data.bis.org\/topics\/TOTAL_CREDIT","notes":"All series on credit to the non-financial sector cover 40 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits."},{"id":326,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Summary of Economic Projections","press_release":false,"link":"http:\/\/www.federalreserve.gov\/monetarypolicy\/fomccalendars.htm"},{"id":327,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"International Debt Securities","press_release":false,"link":"https:\/\/data.bis.org\/topics\/IDS"},{"id":328,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Nasdaq Daily Index Data","press_release":false,"link":"https:\/\/www.nasdaq.com\/","notes":"National Association of Securities Dealers Automated Quotations"},{"id":329,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Education Statistics","press_release":false,"link":"http:\/\/data.worldbank.org\/data-catalog\/ed-stats"},{"id":330,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Educational Attainment","press_release":false,"link":"https:\/\/www.census.gov\/programs-surveys\/acs\/","notes":"Multiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010\u20132014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011\u20132015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":331,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Gross Domestic Product by Industry","press_release":true,"link":"https:\/\/www.bea.gov\/data\/gdp\/gdp-industry"},{"id":332,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Weekly and Hourly Earnings from the Current Population Survey","press_release":false,"link":"http:\/\/www.bls.gov\/cps\/earnings.htm","notes":"The earnings data are collected from one-quarter of the Current Population Survey CPS monthly sample and are limited to wage and salary workers. All self-employed workers are excluded. Most series pertain to workers who usually work full time on their sole or primary job. \r\n\r\nEarnings data are available for all workers, with data available by age, race, Hispanic or Latino ethnicity, sex, occupation, usual full- or part-time status, educational attainment, and other characteristics."},{"id":333,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Chicago Fed Midwest Economy Index","press_release":true,"link":"https:\/\/www.chicagofed.org\/publications\/mei\/index","notes":"The Midwest Economy Index (MEI) is a monthly index designed to measure growth in nonfarm business activity in the Seventh Federal Reserve District. It serves as a regional counterpart to the Chicago Fed National Activity Index."},{"id":334,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Labor Force Status Flows from the Current Population Survey","press_release":true,"link":"http:\/\/www.bls.gov\/cps\/cps_flows.htm"},{"id":336,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Selected Property Price Series","press_release":false,"link":"https:\/\/data.bis.org\/topics\/RPP","notes":"These selected series have been rebased and are presented at a quarterly frequency and updated on a quarterly basis; where the frequency of the series collected is monthly, the quarterly data are calculated as the average of the monthly observations. In addition to the nominal price series, and their growth rates, the data set includes CPI-deflated versions of the series (and their growth rates)."},{"id":337,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Federal Reserve Board of Governors Labor Market Conditions Index","press_release":false,"link":"http:\/\/www.federalreserve.gov\/econresdata\/notes\/feds-notes\/2014\/updating-the-labor-market-conditions-index-20141001.html","notes":"As of August 3, 2017, updates of the labor market conditions index (LMCI) have been discontinued; the July 7, 2017 vintage is the final estimate from this model. We decided to stop updating the LMCI because we believe it no longer provides a good summary of changes in U.S. labor market conditions. Specifically, model estimates turned out to be more sensitive to the detrending procedure than we had expected, the measurement of some indicators in recent years has changed in ways that significantly degraded their signal content, and including average hourly earnings as an indicator did not provide a meaningful link between labor market conditions and wage growth.\r\n\r\nThe LMCI is derived from a dynamic factor model that extracts the primary common variation from 19 labor market indicators."},{"id":341,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Kansas City Fed Labor Market Conditions Indicators","press_release":true,"link":"https:\/\/www.kansascityfed.org\/data-and-trends\/labor-market-conditions-indicators\/","notes":"The Kansas City Fed Labor Market Conditions Indicators (LMCI) are two monthly measures of labor market conditions based on 24 labor market variables. One indicator measures the level of activity in labor markets and the other indicator measures momentum in labor markets.\r\n\r\nA positive value indicates that labor market conditions are above their long-run average, while a negative value signifies that labor market conditions are below their long-run average."},{"id":342,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Natural Gas Spot and Futures Prices (NYMEX)","press_release":true,"link":"https:\/\/www.eia.gov\/dnav\/ng\/ng_pri_fut_s1_d.htm","notes":"Prices are based on delivery at the Henry Hub in Louisiana. Official daily closing prices at 2:30 p.m. from the trading floor of the New York Mercantile Exchange (NYMEX) for a specific delivery month."},{"id":343,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Metro Area Economic Conditions Indexes","press_release":false,"link":"http:\/\/research.stlouisfed.org\/wp\/more\/2014-046\/"},{"id":345,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Research Consumer Price Index","press_release":false,"link":"https:\/\/www.bls.gov\/cpi\/research-series\/r-cpi-e-home.htm","notes":"The BLS calculates a research price index called the Consumer Price Index for Americans 62 years of age and older, or R-CPI-E. The R-CPI-E is used by those interested in measures of price change specifically based on the spending patterns of the elderly (as defined in the construction of this index). Official uses of the R-CPI-E have been considered by other government agencies but not implemented due to several limitations. These limitations must be considered and understood by potential users of the data, and any conclusions drawn from these analyses should be treated as tentative.\r\n\r\nSee the https:\/\/www.bls.gov\/cpi\/research-series\/r-cpi-e-home.htm from more information."},{"id":346,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Small Area Income and Poverty Estimates","press_release":true,"link":"https:\/\/www.census.gov\/programs-surveys\/saipe.html","notes":"Small Area Income and Poverty Estimates (SAIPE) are produced for school districts, counties, and states. The main objective of this program is to provide updated estimates of income and poverty statistics for the administration of federal programs and the allocation of federal funds to local jurisdictions. These estimates combine data from administrative records, postcensal population estimates, and the decennial census with direct estimates from the American Community Survey to provide consistent and reliable single-year estimates. These model-based single-year estimates are more reflective of current conditions than multi-year survey estimates."},{"id":349,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Transportation Services Index and Seasonally-Adjusted Transportation Data","press_release":false,"link":"https:\/\/data.bts.gov\/Research-and-Statistics\/Transportation-Services-Index-and-Seasonally-Adjus\/bw6n-ddqk"},{"id":351,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Manufacturing Business Outlook Survey","press_release":true,"link":"https:\/\/www.philadelphiafed.org\/surveys-and-data\/regional-economic-analysis\/manufacturing-business-outlook-survey","notes":"The Manufacturing Business Outlook Survey is a monthly survey of manufacturers in the Third Federal Reserve District. Participants indicate the direction of change in overall business activity and in the various measures of activity at their plants: employment, working hours, new and unfilled orders, shipments, inventories, delivery times, prices paid, and prices received. The survey has been conducted each month since May 1968."},{"id":352,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Nonmanufacturing Business Outlook Survey","press_release":true,"link":"https:\/\/www.philadelphiafed.org\/research-and-data\/regional-economy\/nonmanufacturing-business-outlook-survey","notes":"The Nonmanufacturing Business Outlook Survey is a monthly survey of nonmanufacturers in the Third Federal Reserve District. Participants indicate the direction of change in overall business activity and in the various measures of activity at their firms, including new orders, sales or revenues, employment, prices, and capital expenditures. Respondents also provide their assessment of general business conditions over the next six months. The survey has been conducted each month since March 2011."},{"id":353,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Alternative Measures of Labor Underutilization for States","press_release":true,"link":"http:\/\/www.bls.gov\/lau\/stalt.htm"},{"id":354,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"An Arbitrage-Free Three-Factor Term Structure Model and the Recent Behavior of Long-Term Yields and Distant-Horizon Forward Rates","press_release":false,"link":"https:\/\/www.federalreserve.gov\/data\/three-factor-nominal-term-structure-model.htm","notes":"This research reviews a simple three-factor arbitrage-free term structure model estimated by Federal Reserve Board staff and reports results obtained from fitting this model to U.S. Treasury yields since 1990. The model ascribes a large portion of the decline in long-term yields and distant-horizon forward rates since the middle of 2004 to a fall in term premiums. A variant of the model that incorporates inflation data indicates that about two-thirds of the decline in nominal term premiums owes to a fall in real term premiums, but estimated compensation for inflation risk has diminished as well."},{"id":355,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Minimum Wage Rates","press_release":false,"link":"http:\/\/www.dol.gov\/whd\/minimumwage.htm"},{"id":356,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Fixed Assets","press_release":true,"link":"https:\/\/www.bea.gov\/data\/investment-fixed-assets"},{"id":357,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Hours of Wage and Salary Workers on Nonfarm Payrolls by Sector","press_release":true,"link":"http:\/\/www.bls.gov\/lpc\/hoursdatainfo.htm"},{"id":358,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Number of Exporters and Known Value for All Countries on a State-by-State Basis","press_release":true,"notes":"This release comes from the US Census Bureau's Foreign Trade Division. This data set contains state-level export data from the 50 states, the District of Columbia, Puerto Rico and the U.S. Virgin Islands to their international export partner countries. Each annual dataset displays the number of exporters between each state-country pair and the known value of exports from a state to a country in U.S. dollars."},{"id":359,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. International Investment Position","press_release":true,"link":"https:\/\/www.bea.gov\/data\/intl-trade-investment\/international-investment-position"},{"id":360,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Health Care Satellite Account","press_release":false,"link":"https:\/\/www.bea.gov\/products\/health-care"},{"id":362,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Quarterly Census of Employment and Wages","press_release":true,"link":"http:\/\/www.bls.gov\/cew\/home.htm"},{"id":363,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Monthly Treasury Statement","press_release":true,"link":"https:\/\/fiscaldata.treasury.gov\/datasets\/monthly-treasury-statement\/summary-of-receipts-outlays-and-the-deficit-surplus-of-the-u-s-government"},{"id":364,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"St. Louis Fed Price Pressures Measures","press_release":false},{"id":365,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Primary Commodity Prices","press_release":false,"link":"https:\/\/www.imf.org\/en\/Research\/commodity-prices","notes":"Benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. Price indices are based in 2005 (average of 2005 = 100)."},{"id":366,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Asia and Pacific Regional Economic Outlook","press_release":false,"link":"http:\/\/data.imf.org\/?sk=ABFF6C02-73A8-475C-89CC-AD515033E662","notes":"APD Regional Economic Outlook provides information on recent economic developments and prospects for countries in Asia and the Pacific."},{"id":367,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Western Hemisphere Regional Economic Outlook","press_release":false,"link":"http:\/\/data.imf.org\/?sk=3E40CD07-7BD1-404F-BFCE-24018D2D85D2"},{"id":368,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Middle East and Central Asia Regional Economic Outlook","press_release":false,"link":"http:\/\/data.imf.org\/?sk=4CC54C86-F659-4B16-ABF5-FAB77D52D2E6&ss=1390030109571","notes":"The IMF\u2019s Middle East and Central Asia Department (MCD) countries and territories comprise Afghanistan, Algeria, Armenia, Azerbaijan, Bahrain, Djibouti, Egypt, Georgia, Iran, Iraq, Jordan, Kazakhstan, Kuwait, the Kyrgyz Republic, Lebanon, Libya, Mauritania, Morocco, Oman, Pakistan, Qatar, Saudi Arabia, Somalia, Sudan, Syria, Tajikistan, Tunisia, Turkmenistan, the United Arab Emirates, Uzbekistan, the West Bank and Gaza, and Yemen.\r\n\r\nMore information about forecasting methodology is available at http:\/\/data.imf.org\/?sk=4CC54C86-F659-4B16-ABF5-FAB77D52D2E6&ss=1390288795525.\r\n\r\nThe base year for constant prices differs by nation. More information is available at https:\/\/www.imf.org\/external\/pubs\/ft\/weo\/2015\/02\/weodata\/co.pdf."},{"id":369,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Sub-Saharan Africa Regional Economic Outlook","press_release":false,"link":"http:\/\/data.imf.org\/?sk=5778F645-51FB-4F37-A775-B8FECD6BC69B","notes":"The Sub-Saharan Africa Regional Economic Outlook provides information on recent economic developments and prospects for countries in Sub-Saharan Africa. Data for the REO for Sub-Saharan Africa is prepared in conjunction with the semi-annual World Economic Outlook exercises, spring and fall. Data are consistent with the projections underlying the WEO. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates."},{"id":370,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Financial Access Survey","press_release":false,"link":"http:\/\/data.imf.org\/?sk=E5DCAB7E-A5CA-4892-A6EA-598B5463A34C","notes":"The Financial Access Survey is the sole source of global supply-side data on financial inclusion, encompassing internationally-comparable basic indicators of financial access and usage. In addition to providing policy makers and researchers with annual geographic and demographic data access on basic consumer financial services worldwide, the survey is the data source for the G-20 Basic Set of Financial Inclusion Indicators endorsed by the G-20 Leaders at the Los Cabos Summit of June 2012."},{"id":371,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Hornstein-Kudlyak-Lange Non-Employment Index","press_release":true,"link":"https:\/\/www.richmondfed.org\/research\/national_economy\/non_employment_index","notes":"The Hornstein-Kudlyak-Lange Non-Employment Index (NEI) is an alternative to the standard unemployment rate that includes all non-employed individuals and accounts for persistent differences in their labor market attachment. It provides a more comprehensive reading of labor market health and is based on research first published by Richmond Fed economists Andreas Hornstein and Marianna Kudlyak, and McGill University economist Fabian Lange."},{"id":372,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Chicago Fed Survey of Economic Conditions","press_release":true,"link":"https:\/\/www.chicagofed.org\/research\/data\/cfsec\/current-data","notes":"What is the Survey of Economic Conditions?\r\nContacts located in the Seventh Federal Reserve District are asked to rate various aspects of economic conditions along a seven-point scale ranging from \"large increase\" to \"large decrease.\" A series of diffusion indexes summarizing the distribution of responses is then calculated.\r\n\r\nHow are the indexes constructed?\r\nRespondents' answers on the seven-point scale are assigned a numeric value ranging from +3 to \u20133. Each diffusion index is calculated as the difference between the number of respondents with answers above their respective average responses and the number of respondents with answers below their respective average responses, divided by the total number of respondents. The index is then multiplied by 100 so that it ranges from +100 to \u2212100 and will be +100 if every respondent provides an above-average answer and \u2013100 if every respondent provides a below-average answer. Respondents with no prior history of responses are excluded from the calculation.\r\n\r\nWhat do the numbers mean?\r\nRespondents' respective average answers to a question can be interpreted as representing their historical trends, or long-run averages. Thus, zero index values indicate, on balance, average growth (or a neutral outlook) for activity, hiring, capital spending, and cost pressures. Positive index values indicate above-average growth (or an optimistic outlook) on balance, and negative values indicate below-average growth (or a pessimistic outlook) on balance.\r\n\r\nPrior to April 2022, the Chicago Fed Survey of Economic Conditions was named the Chicago Fed Survey of Business Conditions (CFSBC). The name change was made to better represent the survey\u2019s aim and base of respondents. The goal of the survey is to assess the state of the economy in the Seventh Federal Reserve District. Moreover, since the beginning of the survey, it was been filled out by both business and nonbusiness contacts."},{"id":373,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"GDP-Based Recession Indicator Index","press_release":true,"link":"http:\/\/econbrowser.com\/recession-index","notes":"This index measures the probability that the U.S. economy was in a recession during the indicated quarter. It is based on a mathematical description of the way that recessions differ from expansions."},{"id":374,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Texas Manufacturing Outlook Survey","press_release":true,"link":"https:\/\/www.dallasfed.org\/research\/surveys\/tmos","notes":"The Texas Manufacturing Outlook Survey (TMOS) is a monthly survey of area manufacturers. Firm executives report on how business conditions have changed for a number of indicators, such as production, new orders, employment, prices and company outlook. Respondents are also asked to report on how they perceive broader economic conditions to have changed (general business activity). For all questions, participants are asked whether the indicator has increased, decreased or remained unchanged. Answers cover changes over the previous month and expectations for activity six months into the future. Participants are given the opportunity to submit comments on current issues that may be affecting their business."},{"id":375,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Overnight Bank Funding Rate Data","press_release":false,"link":"https:\/\/apps.newyorkfed.org\/markets\/autorates\/obfr"},{"id":376,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Texas Service Sector Outlook Survey","press_release":true,"link":"https:\/\/www.dallasfed.org\/research\/surveys\/tssos","notes":"The Texas Service Sector Outlook Survey (TSSOS) is a monthly survey of area service sector businesses. Firm executives report on how business conditions have changed for a number of indicators such as revenue, employment, prices and company outlook. Respondents are also asked to report on how they perceive broader economic conditions to have changed (general business activity). For all questions, participants are asked whether the indicator has increased, decreased or remained unchanged. Answers cover changes over the previous month and expectations for activity six months into the future. Participants are given the opportunity to submit comments on current issues that may be affecting their business.\r\n\r\nAbout 230 service-providing firms regularly participate in TSSOS, which began collecting data in January 2007. Respondents are broadly representative of service-producing industries in the private sector. TSSOS includes a breakout for respondents in the retail and wholesale sectors, called the Texas Retail Outlook Survey (TROS). TSSOS questionnaires are electronically transmitted to respondents in the middle of each month, and answers are collected over seven business days. TROS respondents receive a slightly different questionnaire, but the survey period and processing is the same.\r\n\r\nThe service sector makes up the bulk of the Texas economy, accounting for 59 percent of private-sector activity and employing close to 7 million workers. Retailers and wholesalers make up 12 percent of Texas output and account for 1.6 million jobs. Despite the service sector's prominence, there are few timely measures of changes in service sector activity at the state level. TSSOS fills this regional data gap. TSSOS and its retail component, TROS, are highly correlated with monthly changes in regional economic indicators such as private service sector employment, retail employment and retail sales (see related article below)."},{"id":377,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Texas Retail Outlook Survey","press_release":true,"link":"https:\/\/www.dallasfed.org\/research\/surveys\/tssos","notes":"The Texas Retail Outlook Survey (TROS) is a monthly survey of area service sector businesses, specifically retail businesses. Firm executives report on how business conditions have changed for a number of indicators such as revenue, employment, prices and company outlook. Respondents are also asked to report on how they perceive broader economic conditions to have changed (general business activity). For all questions, participants are asked whether the indicator has increased, decreased or remained unchanged. Answers cover changes over the previous month and expectations for activity six months into the future. Participants are given the opportunity to submit comments on current issues that may be affecting their business.\r\n\r\nAbout 230 service-providing firms regularly participate in TSSOS, which began collecting data in January 2007. Respondents are broadly representative of service-producing industries in the private sector. TSSOS includes a breakout for respondents in the retail and wholesale sectors, called the Texas Retail Outlook Survey (TROS). TSSOS questionnaires are electronically transmitted to respondents in the middle of each month, and answers are collected over seven business days. TROS respondents receive a slightly different questionnaire, but the survey period and processing is the same.\r\n\r\nThe service sector makes up the bulk of the Texas economy, accounting for 59 percent of private-sector activity and employing close to 7 million workers. Retailers and wholesalers make up 12 percent of Texas output and account for 1.6 million jobs. Despite the service sector's prominence, there are few timely measures of changes in service sector activity at the state level. TSSOS fills this regional data gap. TSSOS and its retail component, TROS, are highly correlated with monthly changes in regional economic indicators such as private service sector employment, retail employment and retail sales (see related article below)."},{"id":378,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Federal Funds Data","press_release":false,"link":"https:\/\/apps.newyorkfed.org\/markets\/autorates\/fed%20funds"},{"id":379,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Temporary Open Market Operations","press_release":false,"link":"https:\/\/www.newyorkfed.org\/markets\/data-hub"},{"id":382,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Real Trade-Weighted Value of the Dollar by U.S. State","press_release":true,"link":"https:\/\/www.dallasfed.org\/research\/econdata\/rtwvd.aspx","notes":"These indexes calculate the inflation-adjusted value of the U.S. dollar against the currencies of countries to which the state exports. The real exchange rates are aggregated across countries for each state using the annual average export share to the country. For the most recent year where export share data is not available, the prior year' number is used instead. The indexes should allow analysts to more precisely identify the exchange rate movements that most affect demand for a state's exports. For more information visit http:\/\/www.dallasfed.org\/research\/econdata\/rtwvd.cfm."},{"id":383,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Market Value of U.S. Government Debt","press_release":true,"link":"http:\/\/www.dallasfed.org\/research\/econdata\/govdebt.cfm","notes":"For many uses, market value more accurately represents the debt burden faced by the U.S. government than the par value. The par value of government debt, which is reported by the U.S. Treasury Department, reflects interest rates at the time the debt was issued while the market value is adjusted to reflect market interest rates as of the observed period. Federal Reserve Bank of Dallas researchers calculate the market value of U.S. government debt series."},{"id":384,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Characteristics of Minimum Wage Workers","press_release":false,"link":"http:\/\/www.bls.gov\/cps\/earnings.htm#minwage"},{"id":386,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"GDPNow","press_release":true,"link":"https:\/\/www.atlantafed.org\/research-and-data\/data\/gdpnow","notes":"The growth rate of real gross domestic product (GDP) is a key indicator of economic activity, but the official estimate is released with a delay. The Federal Reserve Bank of Atlanta's GDPNow forecasting model provides a "nowcast" of the official estimate prior to its release."},{"id":387,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Minimum Wage Rate by State","press_release":false,"link":"https:\/\/www.dol.gov\/whd\/minwage\/america.htm"},{"id":388,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Banking and Monetary Statistics, 1914-1941","press_release":false,"link":"https:\/\/fraser.stlouisfed.org\/title\/38","notes":"Contains banking and monetary statistics previously appearing in the Annual Reports of the Board of Governors of the Federal Reserve and the Federal Reserve Bulletin. Includes data on the condition and operation of all banks as well as statistics on non-bank financial institutions, currency, money rates, securities, consumer credit, gold, and international financial developments."},{"id":389,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"A Millennium of Macroeconomic Data for the UK","press_release":false,"link":"https:\/\/www.bankofengland.co.uk\/statistics\/research-datasets"},{"id":391,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Personal Consumption Expenditures by State","press_release":true,"link":"https:\/\/www.bea.gov\/data\/consumer-spending\/state","notes":"Release contains both per capita personal consumption expenditures and personal consumption expenditures by state. This data set also contains sector based data each state."},{"id":394,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Spliced Oil Price","press_release":true,"notes":"The Spliced Oil Price release was created by the Federal Reserve Bank of St. Louis to expand the history of the monthly West Texas Intermediate oil price series in FRED. We simply combined these two FRED series: https:\/\/fred.stlouisfed.org\/series\/OILPRICE and https:\/\/fred.stlouisfed.org\/series\/MCOILWTICO. From January 1946 through July 2013, the series used is OILPRICE. From August 2013 to present, the series used is MCOILWTICO."},{"id":395,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Families and Living Arrangements","press_release":false,"link":"https:\/\/www.census.gov\/topics\/families\/families-and-households.html"},{"id":396,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.17.2 Retail Instalment Credit at Furniture and Household Appliance Stores","press_release":true},{"id":397,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Gross Domestic Product by County","press_release":true,"link":"https:\/\/www.bea.gov\/data\/gdp\/gdp-by-county"},{"id":399,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Net Migration Flows for Counties and County Equivalents in the United States","press_release":true,"link":"https:\/\/www.census.gov\/topics\/population\/migration\/guidance\/county-to-county-migration-flows.html","notes":"The American Community Survey (ACS) and the Puerto Rico Community Survey (PRCS) asked members of households whether they lived in the same residence 1 year ago. For people who lived in a different residence, the location of their previous residence is collected.\r\n\r\nACS uses a series of monthly samples to produce estimates. Estimates for geographies of population 65,000 or greater are published annually using these monthly samples. Three years of monthly samples are needed to publish estimates for geographies of 20,000 or greater and five years for smaller geographies. The 5-year dataset is used for the county-to-county migration flows since many counties have a population less than 20,000. The first 5-year ACS dataset covers the years 2005 through 2009.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010\u20132014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011\u20132015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":400,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"St. Louis Fed Economic News Index","press_release":false,"link":"https:\/\/fraser.stlouisfed.org\/title\/review-federal-reserve-bank-st-louis-820\/fourth-quarter-2016-620800?page=18"},{"id":401,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"SOI Tax Stats - Historical Data Tables","press_release":false,"link":"https:\/\/www.irs.gov\/statistics\/soi-tax-stats-historical-data-tables"},{"id":402,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Corporate Bond Yield Curve","press_release":false,"link":"https:\/\/home.treasury.gov\/data\/treasury-coupon-issues-and-corporate-bond-yield-curve\/corporate-bond-yield-curve"},{"id":403,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Real Personal Income for States","press_release":true,"link":"https:\/\/www.bea.gov\/data\/income-saving\/real-personal-income-states","notes":"This release contains regional data for States. The indicators in this data release include Real Personal Income, Real Per Capita Personal Income, Regional Price Parities, and Implicit Price Deflator."},{"id":406,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Homeownership Rate","press_release":false,"notes":"The homeownership rate is computed by dividing the estimated total population in owner-occupied units by the estimated total population (ACS 5-year variables B25008_002E and B25008_001E from table B25008, respectively).\r\n\r\nA housing unit is owner-occupied if the owner or co-owner lives in the unit, even if it is mortgaged or not fully paid for. A housing unit is classified as occupied if (i) it is the current place of residence of the person or group of persons living in it at the time of interview or (ii) the occupants are only temporarily absent from the residence for two months or less (e.g., on vacation or a business trip). If all those staying in the unit at the time of the interview plan to stay there for two months or less, the unit is considered to be temporarily occupied and classified as "vacant."\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are "period" estimates derived from a data sample collected over a period of time, as opposed to "point-in-time" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see "Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":408,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Disconnected Youth","press_release":false,"link":"https:\/\/www.census.gov\/programs-surveys\/acs\/","notes":"Disconnected Youth represents the percentage of youth in a county who are between the ages of 16 and 19, who are not enrolled in school, and who are unemployed or not in the labor force.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010\u20132014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011\u20132015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":409,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Equifax Credit Quality","press_release":false,"notes":"Reprinted with permission. Copyright \u00a9 2016, Equifax. All rights reserved. Reproduction of median credit score per county in any form is prohibited except with the prior written permission of Equifax."},{"id":410,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Offenses Known to Law Enforcement","press_release":false,"link":"https:\/\/ucr.fbi.gov\/ucr-publications","notes":"The FBI's Uniform Crime Reporting (UCR) Program collects the number of offenses that come to the attention of law enforcement for violent crime and property crime, as well as data regarding clearances of these offenses. In addition, the FBI collects auxiliary information about these offenses (e.g., time of day of burglaries).\r\n\r\nViolent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force.\r\n\r\nProperty crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims."},{"id":412,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Single Parent Households with Children","press_release":false,"notes":"The single-parent household rate is calculated as the sum of male and female single-parent households with their own children who are younger than 18-years of age divided by total households with their own children who are younger than 18-years of age (ACS 5-year variables S1101_C03_005E, S1101_C04_005E, and S1101_C01_005E respectively from table S1101).\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However,\r\nthey do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification.\r\nhttps:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":413,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Burdened Households","press_release":false,"notes":"Burdened households are those households who pay 30 percent or more of their household income on housing (such as rent or mortgage expenses).\r\n\r\nThis is calculated as the sum of households with a mortgage spending 30.0-34.9% of their income on selected monthly owner costs, households with a mortgage spending 35.0% or more of their income on selected monthly owner costs, households without a mortgage spending 30.0-34.9% of their income on selected monthly owner costs, households without a mortgage spending 35.0% or more of their income on selected monthly owner costs, households that rent spending 30.0-34.9% of their income on gross rent, and households that rent spending 35.0% or more of their income on gross rent (ACS 5-year variables DP04_0114E, DP04_0115E, DP04_0123E, DP04_0124E, DP04_0141E, and DP04_0142E respectively from table DP04) divided by the sum of the total number of households with a mortgage, the total number of households without a mortgage, and the total number of households that rent (ACS 5-year variables DP04_0110E, DP04_0117E, and DP04_0136E respectively from table DP04). Note that the calculation excludes households where selected monthly owner costs or gross rent cannot be calculated.\r\n\r\nSelected monthly owner costs are the sum of payments for mortgages, deeds of trust, contracts to purchase, or similar debts on the property (including payments for the first mortgage, second mortgages, home equity loans, and other junior mortgages); real estate taxes; fire, hazard, and flood insurance on the property; utilities (electricity, gas, and water and sewer); and fuels (oil, coal, kerosene, wood, etc.). It also includes, where appropriate, the monthly condominium fee for condominiums and mobile home costs (installment loan payments, personal property taxes, site rent, registration fees, and license fees).\r\n\r\nGross rent provides information on the monthly housing cost expenses for renters. Gross rent is the contract rent plus the estimated average monthly cost of utilities (electricity, gas, and water and sewer) and fuels (oil, coal, kerosene, wood, etc.) if these are paid by the renter (or paid for the renter by someone else). Gross rent is intended to eliminate differentials that result from varying practices with respect to the inclusion of utilities and fuels as part of the rental payment. The estimated costs of water and sewer, and fuels are reported on a 12-month basis but are converted to monthly figures for the tabulations.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":414,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Income Inequality","press_release":false,"notes":"This data represents the ratio of mean income for the highest quintile (top 20 percent) of earners divided by the mean income of the lowest quintile (bottom 20 percent) of earners.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010\u20132014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011\u20132015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":415,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Mean Commute Time","press_release":false,"link":"https:\/\/www.census.gov\/programs-surveys\/acs\/","notes":"Mean commuting time is calculated by dividing the aggregate travel time to work for all workers (in minutes) by the total number of workers, 16-years old and older, who commute (ACS 5-year variables B08013_001E from table B08013 and B08012_001E from table B08012, respectively).\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010\u20132014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011\u20132015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":416,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"County Poverty Status","press_release":false,"notes":"The percentage of population below the poverty level comes from American Community Survey (ACS) variable S1701_C03_001E in table S1701.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification.\r\nhttps:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":417,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Preventable Hospital Admissions","press_release":false,"link":"https:\/\/atlasdata.dartmouth.edu\/static\/research_data_archive","notes":"Discharges for ambulatory care sensitive conditions per 1,000 medicare enrollees."},{"id":419,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Racial Dissimilarity Index","press_release":false,"notes":"The Racial Dissimilarity Index measures the percentage of a group's population in a county that would have to move Census tracts for each\r\ntract in the county to have the same percentage of that group as the whole county. Originally developed by Jahn, Schmid and Schrag [1947].\r\n\r\nMore information on measures of segregation can be found at https:\/\/dash.harvard.edu\/handle\/1\/2958220 \r\n\r\nMultiyear estimates from the American Community Survey (ACS) are "period" estimates derived from a data sample collected over a period of time, as opposed to "point-in-time" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010\u20132014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011\u20132015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see "Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":426,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Treasury-Owned Gold","press_release":false,"link":"https:\/\/fiscaldata.treasury.gov\/datasets\/status-report-government-gold-reserve\/u-s-treasury-owned-gold"},{"id":427,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Moody's Daily Corporate Bond Yield Averages","press_release":false},{"id":428,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"DHI Hiring Indicators","press_release":false,"link":"http:\/\/dhihiringindicators.com\/"},{"id":429,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"County Population Estimates By Race And Ethnicity","press_release":false,"notes":"Multiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010\u20132014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011\u20132015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":430,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"County Median Age","press_release":false,"notes":"Multiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010\u20132014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011\u20132015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https:\/\/www.census.gov\/content\/dam\/Census\/library\/publications\/2018\/acs\/acs_general_handbook_2018.pdf"},{"id":431,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Premature Death Rate","press_release":false,"link":"https:\/\/www.cdc.gov\/nchs\/nvss\/deaths.htm","notes":"Premature crude death rate is the number of deaths where the deceased is younger than 75 years of age, divided by the population, then multiplied by 100,000. 75 years of age is the standard consideration of a premature death according to the CDC's definition of Years of Potential Life Loss. \r\n\r\nFor more information, see FAQs about death rates:\r\nhttps:\/\/wonder.cdc.gov\/wonder\/help\/cmf.html#Frequently%20Asked%20Questions%20about%20Death%20Rates"},{"id":432,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"New Patent Assignments","press_release":false,"link":"https:\/\/assignment.uspto.gov\/patent\/index.html#\/patent\/search"},{"id":433,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Age-Adjusted Premature Death Rate","press_release":true,"link":"https:\/\/www.cdc.gov\/nchs\/nvss\/deaths.htm","notes":"Age-adjusted death rates are weighted averages of the age-specific death rates, where the weights represent a fixed population by age. They are used to compare relative mortality risk among groups and over time. An age-adjusted rate represents the rate that would have existed had the age-specific rates of the particular year prevailed in a population whose age distribution was the same as that of the fixed population. Age-adjusted rates should be viewed as relative indexes rather than as direct or actual measures of mortality risk. \r\n\r\nPremature death rate is the number of deaths where the deceased is younger than 75 years of age, divided by the population, then multiplied by 100,000. 75 years of age is the standard consideration of a premature death according to the CDC's definition of Years of Potential Life Loss.\r\n\r\nFor more information, see FAQs about death rates:\r\nhttps:\/\/wonder.cdc.gov\/wonder\/help\/cmf.html#Frequently%20Asked%20Questions%20about%20Death%20Rates"},{"id":434,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Quarterly Financial Report","press_release":true,"link":"https:\/\/www.census.gov\/econ\/qfr\/"},{"id":435,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Advance Economic Indicators","press_release":true,"link":"https:\/\/www.census.gov\/econ\/indicators\/index.html"},{"id":436,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Monthly Retail Trade and Food Services","press_release":true,"link":"https:\/\/www.census.gov\/retail\/index.html"},{"id":439,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Mean Household Wages Adjusted by Cost of Living","press_release":false,"link":"https:\/\/www.census.gov\/programs-surveys\/acs\/","notes":"Estimated mean household wages in real U.S. Dollars from the American Community Survey adjusted for cost of living using regional price parities from the U.S. Bureau of Economic Analysis' Real Personal Income for States and Metropolitan Areas."},{"id":440,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Coinbase Index","press_release":false,"link":"https:\/\/am.coinbase.com\/index"},{"id":441,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Coinbase Cryptocurrencies","press_release":false,"link":"https:\/\/www.coinbase.com\/charts?locale=en-US"},{"id":443,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Business Formation Statistics","press_release":true,"link":"https:\/\/www.census.gov\/econ\/bfs\/index.html","notes":"The Business Formation Statistics (BFS) are a product of the U.S. Census Bureau developed in research collaboration with economists affiliated with Board of Governors of the Federal Reserve System, Federal Reserve Bank of Atlanta, University of Maryland, and University of Notre Dame. \r\n\r\nThe Business Formation Statistics (BFS) provide timely and high frequency data on business applications and employer business formations. The BFS measure business initiation activity (Business Application Series) as indicated by applications for an Employer Identification Number (EIN) on the IRS Form SS-4. The BFS also provide information on actual and projected employer business formations (Business Formation Series) that originate from these applications, based on the record of first payroll tax liability for an EIN. In addition, the BFS contain measures of delay in business starts as indicated by the average duration between the application for an EIN and the transition to an employer business.\r\n\r\nThe BFS have data starting July 2004 at a monthly frequency. The data are available nationally, by individual states, and by U.S. Census Regions. Data are also available by two-digit NAICS codes for the nation."},{"id":445,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Secured Overnight Financing Rate Data","press_release":true,"link":"https:\/\/www.newyorkfed.org\/markets\/reference-rates\/sofr"},{"id":446,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Labor Force Participation by State","press_release":true,"link":"https:\/\/www.bls.gov\/lau\/rdscnp16.htm"},{"id":447,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"FR Y-14M Large Bank Credit Card and Mortgage Data","press_release":true,"link":"https:\/\/www.philadelphiafed.org\/surveys-and-data\/large-bank-credit-card-and-mortgage-data","notes":"The Large Bank Consumer Credit Data are based on FR Y-14M credit card and mortgage data provided by the largest financial institutions in the United States.\r\n\r\nThe respondent panel comprises U.S. bank holding companies, U.S. intermediate holding companies of foreign banking organizations, and covered savings and loan holding companies with $100 billion or more in total consolidated assets. These institutions are required to report credit card or first-lien mortgage data if portfolio balances exceed $5 billion or are material relative to Tier 1 capital. Firms with over $100 billion in total consolidated assets that do not meet these thresholds may also voluntarily provide FR Y-14M data. The reporting provides users with aggregate data on credit card and first-lien mortgages including portfolio composition, credit performance, origination activities, credit card payment behavior, and credit card line utilization. This publication will be released on a quarterly frequency."},{"id":449,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Trade in Goods by State, by NAICS-Based Product","press_release":true,"link":"https:\/\/www.census.gov\/foreign-trade\/statistics\/state\/index.html"},{"id":450,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Quarterly Survey of Public Pensions","press_release":true,"link":"https:\/\/www.census.gov\/programs-surveys\/qspp.html"},{"id":453,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Distributional Financial Accounts","press_release":false,"link":"https:\/\/www.federalreserve.gov\/releases\/efa\/efa-distributional-financial-accounts.htm","notes":"The Distributional Financial Accounts (DFAs) provide a quarterly measure of the distribution of U.S. household wealth since 1989, based on a comprehensive integration of disaggregated household-level wealth data with official aggregate wealth measures. The data set contains the level and share of each balance sheet item on the Financial Accounts' household wealth table (Table B.101.h), for each of four percentile groups of wealth: the top 1 percent, the next 9 percent (i.e., 90th to 99th percentile), the next 40 percent (50th to 90th percentile), and the bottom half (below the 50th percentile). The quarterly frequency makes the data useful for studying the business cycle dynamics of wealth concentration--which are typically difficult to observe in lower-frequency data because peaks and troughs often fall between times of measurement. These data will be updated about 10 or 11 weeks after the end of each quarter, making them a timely measure of the distribution of wealth."},{"id":454,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Average Price Data","press_release":true,"link":"https:\/\/www.bls.gov\/cpi\/factsheets\/average-prices.htm"},{"id":455,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Quarterly Summary of State & Local Tax Revenue","press_release":true,"link":"https:\/\/www.census.gov\/programs-surveys\/qtax.html","notes":"The Quarterly Summary of State and Local Government Tax Revenue provides quarterly estimates of state and local government tax revenue at a national level, as well as detailed tax revenue data for individual states. This quarterly survey has been conducted continuously since 1962. The information contained in this survey is the most current information available on a nationwide basis for government tax collections. \r\n\r\nFor more information about the survey, visit here: https:\/\/www.census.gov\/programs-surveys\/qtax\/about.html\r\n\r\nA Special Note Concerning Revised Data:\r\nRevisions reflect tax collection amounts obtained from three general sources. State and local government respondents have submitted revisions to amounts as originally reported. In other cases, governments have reported data, which we used to replace data that were previously imputed or estimated. Finally, some of the revisions were compiled from government sources, both published and unpublished. For more information, see the survey's methodology here: https:\/\/www.census.gov\/programs-surveys\/qtax\/technical-documentation\/methodology.html"},{"id":456,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Sahm Rule Recession Indicator","press_release":false,"link":"http:\/\/www.hamiltonproject.org\/assets\/files\/Sahm_web_20190506.pdf","notes":"The Sahm Rule identifies signals related to the start of a recession when the three-month moving average of the national unemployment rate (U3) rises by 0.50 percentage points or more relative to its low during the previous 12 months."},{"id":458,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Cotton Production in New England","press_release":false,"link":"https:\/\/www.nber.org\/chapters\/c1569.pdf","notes":"Data were gathered by the authors from various textile collections deposited at various museums and libraries on the East Coast, and collected from the original business records of textile mills in New England wherever possible. Preference was given to records that were complete and continuous for long periods, and reasonably intelligible.\r\n\r\nReporting techniques differed greatly from mill to mill. To make the data comparable, each mill's output was allocated uniformly over the months covered by the accounting period. The monthly figures were then summed to calendar years. The total cotton production for the region is estimated by adding the production of each individual mill with data available for the given period.\r\n\r\nMore details about the data are available in the book chapter \"The New England Textile Industry, 1825-60: Trends and Fluctuations\" (https:\/\/www.nber.org\/chapters\/c1569.pdf)."},{"id":459,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Survey of Business Uncertainty","press_release":true,"link":"https:\/\/www.atlantafed.org\/research-and-data\/surveys\/business-uncertainty"},{"id":460,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Seasonal Factors for Domestic Auto and Truck Production","press_release":true,"link":"https:\/\/www.federalreserve.gov\/releases\/g17\/mvsf.htm"},{"id":461,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Energy-Related CO2 Emissions by State","press_release":true,"link":"https:\/\/www.eia.gov\/environment\/emissions\/carbon\/index.php"},{"id":462,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Housing Inventory Core Metrics","press_release":true,"link":"https:\/\/www.realtor.com\/research\/data\/"},{"id":463,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Market Hotness Index","press_release":true,"link":"https:\/\/www.realtor.com\/research\/reports\/hottest-markets\/"},{"id":465,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Weekly Economic Index (Lewis-Mertens-Stock)","press_release":true,"link":"https:\/\/www.dallasfed.org\/research\/wei","notes":"The WEI is an index of real economic activity using timely and relevant high-frequency data. It represents the common component of ten different daily and weekly series covering consumer behavior, the labor market, and production. The WEI is scaled to the four-quarter GDP growth rate; for example, if the WEI reads -2 percent and the current level of the WEI persists for an entire quarter, we would expect, on average, GDP that quarter to be 2 percent lower than a year previously. \r\n\r\nThe WEI is a composite of 10 weekly economic indicators: Redbook same-store sales, Rasmussen Consumer Index, new claims for unemployment insurance, continued claims for unemployment insurance, adjusted income\/employment tax withholdings (from Booth Financial Consulting), railroad traffic originated (from the Association of American Railroads), the American Staffing Association Staffing Index, steel production, wholesale sales of gasoline, diesel, and jet fuel, and weekly average US electricity load (with the remaining data supplied by Haver Analytics). All series are represented as year-over-year percentage changes. These series are combined into a single index of weekly economic activity.\r\n\r\nFor additional details, including an analysis of the performance of the model, see Lewis, Mertens, and Stock (2020), \u201cU.S. Economic Activity during the Early Weeks of the SARS-Cov-2 Outbreak.\u201d at https:\/\/www.newyorkfed.org\/research\/staff_reports\/sr920.\r\n\r\nThis index has been developed by Daniel Lewis, an economist in the Federal Reserve Bank of New York, Karel Mertens, a senior economic policy advisor at the Federal Reserve Bank of Dallas, and James Stock, the Harold Hitchings Burbank Professor of Political Economy, Faculty of Arts and Sciences of Harvard University.\r\n\r\nThe index is not an official forecast of the Federal Reserve Bank of New York, its president, the Federal Reserve System, or the Federal Open Market Committee."},{"id":468,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Weekly Business Formation Statistics","press_release":true,"link":"https:\/\/www.census.gov\/econ\/bfs\/index.html","notes":"The Business Formation Statistics (BFS) are an experimental data product of the U.S. Census Bureau developed in research collaboration with economists affiliated with Board of Governors of the Federal Reserve System, Federal Reserve Bank of Atlanta, University of Maryland, and University of Notre Dame. The BFS provide timely and high frequency information on new business applications and formations in the United States.\r\n\r\nThe BFS data cover Employer Identification Number (EIN) applications made in the United States, including those associated with starting a new employer business. EINs are IDs used by business entities for tax purposes. Data are available as both nationwide and individual states' statistics. \r\n\r\nThe Business Application Series contain 4 filtered series of EIN applications, measuring selected groupings based on a variety of factors: business applications, high-propensity business applications, business applications with planned wages, and business applications from corporations."},{"id":469,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"State Unemployment Insurance Weekly Claims Report","press_release":true,"link":"https:\/\/oui.doleta.gov\/unemploy\/DataDashboard.asp"},{"id":470,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"World Uncertainty Index","press_release":false,"link":"https:\/\/worlduncertaintyindex.com\/data\/","notes":"The World Uncertainty Index is computed by counting the percent of word \"uncertain\" (or its variant) in the Economist Intelligence Unit (EIU) country reports. The WUI is then rescaled by multiplying by 1,000,000. A higher number means higher uncertainty and vice versa. For example, an index of 200 corresponds to the word uncertainty accounting for 0.02 percent of all words, which\u2014given the EIU reports are on average about 10,000 words long\u2014means about 2 words per report.\r\n\r\nSimilarly, the World Pandemic Uncertainty Index is constructed by counting the percent of times uncertainty is mentioned within a proximity to a word related to pandemics, while the index of discussion about pandemics is constructed by counting the percent of times a word related to pandemics is mentioned in the EIU country reports, and then are re-scaled by multiplying by 1,000."},{"id":471,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Manufactured Housing Survey","press_release":true,"link":"https:\/\/www.census.gov\/programs-surveys\/mhs.html"},{"id":472,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Daily Federal Funds Rate","press_release":false,"link":"https:\/\/research.stlouisfed.org\/wp\/more\/2020-016"},{"id":473,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Optimal Blue Mortgage Market Indices","press_release":false,"link":"https:\/\/www2.optimalblue.com\/obmmi\/","notes":"Optimal Blue Mortgage Market Indices\u2122 (OBMMI\u2122) is calculated from actual locked rates with consumers across over one-third of all mortgage transactions nationwide. OBMMI includes multiple mortgage pricing indices developed around the most popular products and specific borrower and loan level attributes."},{"id":476,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Job Postings on Indeed","press_release":true,"link":"http:\/\/press.indeed.com\/","notes":"Indeed calculates the percentage change in seasonally-adjusted job postings since February 1, 2020, using a 7-day trailing average. February 1, 2020, is the pre-pandemic baseline. Indeed seasonally adjusts each series based on historical patterns in 2017, 2018, and 2019. Each series, including the national trend, occupational sectors, and sub-national geographies, is seasonally adjusted separately. Indeed switched to this new methodology in January 2021 and now reports all historical data using this new methodology. Historical numbers have been revised and may differ significantly from originally reported values. The new methodology applies a detrended seasonal adjustment factor to the percentage change in job postings.\r\n\r\nIndices are calculated for the U.S., Australia, Canada, Germany, Ireland, France, and the U.K. In addition for the U.S., indices are calculated for states, the largest metro areas by population.\r\n\r\nFor Frequently Asked Questions regarding Indeed Data, visit https:\/\/www.hiringlab.org\/indeed-data-faq\/.\r\n\r\nCopyrighted: Pre-approval required. Contact Indeed to request permission to use the data at their contact information at https:\/\/github.com\/hiring-lab\/data#readme.\r\n\r\nEnd Users are excluded of any warranty and liability on the part of Indeed for the accuracy of the Indeed Data. End Users will refrain from any external distribution of Indeed Data except in oral or written presentations, provided that such portions or derivations are incidental to and supportive of such presentations and, provided further that the End Users shall not distribute or disseminate in such presentations any amount of Indeed Data which could cause such presentations to be susceptible to use substantially as a source of or substitute for Indeed Data. End Users agree to credit Indeed as the source and owner of the Indeed Data when making it available to third parties in any permissible manner as well as in internal use. End Users agree to not sell or otherwise provide the Indeed Data obtained from Licensee to third parties."},{"id":477,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Monthly State Retail Sales","press_release":true,"link":"https:\/\/www.census.gov\/retail\/state_retail_sales.html","notes":"The Monthly State Retail Sales (MSRS) is the Census Bureau's experimental data product featuring modeled state-level retail sales. This is a blended data product using Monthly Retail Trade Survey data, administrative data, and third-party data. Year-over-year percent changes are available for Total Retail Sales excluding Nonstore Retailers as well as 11 retail North American Industry Classification System (NAICS) retail subsectors. These data are provided by state and NAICS codes beginning with January 2019. The Census Bureau plans to continue to improve the methodology to be able to publish more data in the future.\r\n\r\nUsers are encouraged to read the overview at https:\/\/www.census.gov\/retail\/mrts\/www\/statedata\/msrs_overview.pdf"},{"id":478,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Pandemic Claims Weekly Report","press_release":true,"link":"https:\/\/oui.doleta.gov\/unemploy\/DataDashboard.asp"},{"id":479,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Consumer Expenditure Surveys","press_release":true,"link":"https:\/\/www.bls.gov\/cex\/","notes":"The Consumer Expenditure Surveys (CE) program provides data on expenditures, income, and demographic characteristics of consumers in the United States. CE data are primarily used to revise the relative importance of goods and services in the market basket of the Consumer Price Index.\r\n\r\nThe CE surveys collect data that fall into one of the following major expenditure categories: Alcoholic beverages, Apparel and services, Cash contributions, Education, Entertainment, Food, Healthcare, Housing, Miscellaneous, Personal care products and services, Personal insurance and pensions, Reading, Tobacco products and smoking supplies, and Transportation."},{"id":480,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Total Energy","press_release":true,"link":"https:\/\/www.eia.gov\/totalenergy\/data\/monthly\/#summary","notes":"U.S. total energy production, prices, carbon dioxide emissions, and consumption of energy from all sources by sector."},{"id":481,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"The Federal Reserve System's Weekly Balance Sheet Since 1914","press_release":true,"link":"https:\/\/sites.krieger.jhu.edu\/iae\/files\/2018\/07\/Federal-Reserve-Systems-Weekly-Balance-Sheet-Since-1914.pdf"},{"id":482,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"FDIC Quarterly Banking Profile","press_release":true,"link":"https:\/\/www.fdic.gov\/analysis\/quarterly-banking-profile\/","notes":"The Quarterly Banking Profile is a quarterly publication that provides the earliest comprehensive summary of financial results for all FDIC-insured institutions.\r\n\r\nSee Notes to Users at https:\/\/www.fdic.gov\/analysis\/quarterly-banking-profile\/qbp\/timeseries\/qbpnot.pdf for more information."},{"id":483,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"SOFR Averages and Index Data","press_release":true,"link":"https:\/\/www.newyorkfed.org\/markets\/reference-rates\/sofr-averages-and-index","notes":"As an extension of the Secured Overnight Financing Rate (SOFR), the SOFR Averages are compounded averages of the SOFR over rolling 30-, 90-, and 180-calendar day periods.\r\n\r\nThe SOFR Index measures the cumulative impact of compounding the SOFR on a unit of investment over time, with the initial value set to 1 on April 2, 2018, the first value date of the SOFR. The SOFR Index value reflects the effect of compounding the SOFR each business day and allows the calculation of compounded SOFR averages over custom time periods."},{"id":484,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Key ECB Interest Rates","press_release":true,"link":"https:\/\/www.ecb.europa.eu\/stats\/policy_and_exchange_rates\/key_ecb_interest_rates\/html\/index.en.html"},{"id":485,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Granted Utility Patents by Counties and CBSAs","press_release":false,"link":"https:\/\/www.uspto.gov\/web\/offices\/ac\/ido\/oeip\/taf\/reports.htm","notes":"Utility patents are patents for invention. Patent origin is determined by the residence of the first-named inventor.\r\n\r\nFor more information on patent types, see https:\/\/www.uspto.gov\/patents\/basics\/types-patent-applications.\r\n\r\nFor more information on CBSA data, see https:\/\/www.uspto.gov\/web\/offices\/ac\/ido\/oeip\/taf\/cls_cbsa\/explan_cls_cbsa.htm.\r\n\r\nFor more information on county data, see https:\/\/www.uspto.gov\/web\/offices\/ac\/ido\/oeip\/taf\/countyall\/explan_countyall.htm."},{"id":486,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Granted Patents by States, Territories, and Countries","press_release":false,"link":"https:\/\/www.uspto.gov\/web\/offices\/ac\/ido\/oeip\/taf\/reports_stco.htm","notes":"Patent origin is determined by the residence of the first-named inventor. Patents granted are further broken down by utility, plant, design, and reissue patents.\r\n\r\nUtility patents are patents for invention.\r\n\r\nA plant patent is granted by the United States government to an inventor (or the inventor's heirs or assigns) who has invented or discovered and asexually reproduced a distinct and new variety of plant, other than a tuber propagated plant or a plant found in an uncultivated state.\r\n\r\nA design consists of the visual ornamental characteristics embodied in, or applied to, an article of manufacture. Since a design is manifested in appearance, the subject matter of a design patent application may relate to the configuration or shape of an article, to the surface ornamentation applied to an article, or to the combination of configuration and surface ornamentation. A design for surface ornamentation is inseparable from the article to which it is applied and cannot exist alone. It must be a definite pattern of surface ornamentation, applied to an article of manufacture.\r\n\r\nA reissue application is filed to correct an error in the patent, where, as a result of the error, the patent is deemed wholly or partly inoperative or invalid. An error in the patent arises out of an error in conduct which was made in the preparation and\/or prosecution of the application which became the patent.\r\n\r\nFor more information on patent types, see https:\/\/www.uspto.gov\/patents\/basics\/types-patent-applications.\r\n\r\nFor more information on the data, see https:\/\/www.uspto.gov\/web\/offices\/ac\/ido\/oeip\/taf\/brochure.htm."},{"id":487,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Index of Global Real Economic Activity","press_release":true,"link":"https:\/\/www.dallasfed.org\/research\/igrea"},{"id":488,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Brave-Butters-Kelley Indexes","press_release":true,"link":"https:\/\/www.ibrc.indiana.edu\/bbki\/","notes":"The Brave-Butters-Kelley Indexes (BBKI) are the byproduct of research originally conducted by the Federal Reserve Bank of Chicago. Currently, the BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth."},{"id":489,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"AD&Co US Mortgage High Yield Index","press_release":true,"link":"https:\/\/www.ad-co.com\/riskvaldynamics#crt-index","notes":"The AD&Co U.S. Mortgage High-Yield Index serves as an informational index and is not for commercial-use purposes. The Index\u2019s accuracy, completeness, timeliness and suitability for any purpose are not guaranteed. The Index does not constitute (1) investment, legal, accounting, tax, or other professional advice or (2) any recommendation or solicitation to purchase, hold, sell, or otherwise deal in any investment. This Index has been prepared for general informational purposes, without consideration of the circumstances or objectives of any particular investor. Any reliance on the Index is at the reader\u2019s sole risk. All investment is subject to numerous risks, known and unknown. Past performance is no guarantee of future results. For investment advice, seek a qualified investment professional. Not for redistribution without permission. Note: An affiliate of Andrew Davidson & Co., Inc. engages in trading activities in investments that may be the same or similar to those featured in the Index."},{"id":490,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Industry Productivity","press_release":true,"link":"https:\/\/www.bls.gov\/mfp\/"},{"id":491,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"The Effects of the 1930s HOLC \"Redlining\" Maps","press_release":false,"link":"https:\/\/www.chicagofed.org\/publications\/working-papers\/2017\/wp2017-12","notes":"The authors study the effects of the 1930s-era HOLC \"redlining\" maps on the long-run trajectories of neighborhoods. They calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities."},{"id":492,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"SONIA Interest Rate Benchmark","press_release":true,"link":"https:\/\/www.bankofengland.co.uk\/markets\/sonia-benchmark","notes":"SONIA is a measure of the rate at which interest is paid on sterling short-term wholesale funds in circumstances where credit, liquidity and other risks are minimal.\r\n\r\nOn each London business day, SONIA is measured as the trimmed mean, rounded to four decimal places, of interest rates paid on eligible sterling denominated deposit transactions. \r\n\r\nThe trimmed mean is calculated as the volume-weighted mean rate, based on the central 50 per cent of the volume-weighted distribution of rates."},{"id":494,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Chicago Fed Advance Retail Trade Summary","press_release":true,"link":"https:\/\/www.chicagofed.org\/publications\/carts\/index"},{"id":499,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"EONIA: Euro Interbank Offered Rate","press_release":false,"link":"https:\/\/sdw.ecb.europa.eu\/browse.do?node=9689692","notes":"The EONIA (European Overnight Index Average) rate is the closing rate for the overnight maturity calculated by collecting data on unsecured overnight lending in the euro area provided by banks belonging to the EONIA panel."},{"id":500,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Inflation Expectations","press_release":false,"link":"https:\/\/www.clevelandfed.org\/indicators-and-data\/inflation-expectations"},{"id":502,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Euro Short Term Rate","press_release":true,"link":"https:\/\/www.ecb.europa.eu\/stats\/financial_markets_and_interest_rates\/euro_short-term_rate\/html\/index.en.html","notes":"The euro short-term rate (\u20acSTR) reflects the wholesale euro unsecured overnight borrowing costs of banks located in the euro area. The \u20acSTR is published on each TARGET2 business day based on transactions conducted and settled on the previous TARGET2 business day (the reporting date \u201cT\u201d) with a maturity date of T+1 which are deemed to have been executed at arm\u2019s length and thus reflect market rates in an unbiased way."},{"id":503,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Zillow Home Value Index (ZHVI)","press_release":true,"link":"https:\/\/www.zillow.com\/research\/data\/","notes":"One of Zillow\u2019s most cited metrics is ZHVI, the Zillow Home Value Index. \r\n\r\nIt tells us the typical home value in a given geography (metro area, city, ZIP code, etc.), now and over time."},{"id":504,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Historical Overnight AMERIBOR Unsecured Interest Rate","press_release":true,"link":"https:\/\/ameribor.net\/","notes":"AMERIBOR\u00ae (American Interbank Offered Rate) is a transparent benchmark interest rate based on overnight unsecured loans transacted on the American Financial Exchange (AFX). AMERIBOR\u00ae reflects the actual borrowing costs of thousands of small, medium, and regional banks across America. AMERIBOR\u00ae is also useful for larger banks and financial institutions that do business with these banks, as well as small and middle market companies."},{"id":505,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Community Bank Sentiment Index","press_release":true,"link":"https:\/\/www.csbs.org\/cbindex","notes":"The Community Bank Sentiment Index is an index derived from quarterly polling of community bankers across the nation. As community bankers answer questions about their outlook on the economy, their answers are analyzed and compiled into a single number. The diffusion index is derived from responses to seven survey questions designed to indicate the direction of change in business conditions, monetary policy, regulatory burden, capital spending, operations expansion, profitability, and franchise value. An index reading of 100 indicates a neutral sentiment, while anything above 100 indicates a positive sentiment, and anything below 100 indicates negative sentiment."},{"id":571,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Senior Credit Officer Opinion Survey on Dealer Financing Terms","press_release":true,"link":"https:\/\/www.federalreserve.gov\/data\/scoos.htm","notes":"The Senior Credit Officer Opinion Survey on Dealer Financing Terms (SCOOS) is a quarterly survey providing information about the availability and terms of credit in securities financing and over-the counter (OTC) derivatives markets, which are important conduits for leverage in the financial system. The participating institutions account for most of the dealer financing of dollar-denominated securities to non-dealers and are the most active intermediaries in OTC derivatives markets. The survey is directed to senior credit officers responsible for maintaining a consolidated perspective on the management of credit risks. For further information, please refer to the SCOOS release at the Board of Governor\u2019s website: www.federalreserve.gov\/data\/scoos.htm. \r\n\r\nIMPORTANT: Although the raw data series are constructed as counts for each offered response to a survey question, the data are intended to be viewed as grouped by question, rather than by individual responses. We recommend that it be accessed through the below release table for appropriate context.\r\n\r\nFor questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/data\/scoos%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":605,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Underlying Inflation Gauge (UIG)","press_release":true,"link":"https:\/\/www.newyorkfed.org\/research\/policy\/underlying-inflation-gauge","notes":"The Underlying Inflation Gauge is a monthly estimate of trend inflation released by the Federal Reserve Bank of New York. There are two measures of trend inflation constructed from a dynamic factor model of the consumer price index series and several macroeconomic and financial variables. For more information, see the following link: https:\/\/www.newyorkfed.org\/research\/policy\/underlying-inflation-gauge"},{"id":637,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Wage Growth Tracker","press_release":true,"link":"https:\/\/www.atlantafed.org\/chcs\/wage-growth-tracker","notes":"The Atlanta Fed's Wage Growth Tracker is a measure of the nominal wage growth of individuals. It is constructed using microdata from the Current Population Survey (CPS), and is the median percent change in the hourly wage of individuals observed 12 months apart. \r\n\r\nFor more details about this release from the Federal Reserve Bank of Atlanta, visit their Wage Growth Tracker webpage (https:\/\/www.atlantafed.org\/chcs\/wage-growth-tracker?panel=2)."},{"id":670,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Macroeconomic Uncertainty Index for United States","press_release":true,"link":"https:\/\/www.sydneyludvigson.com\/macro-and-financial-uncertainty-indexes"},{"id":705,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Financial and Real Uncertainty Indexes","press_release":true,"link":"https:\/\/www.sydneyludvigson.com\/macro-and-financial-uncertainty-indexes"},{"id":736,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Visa Spending Momentum Index","press_release":true,"link":"https:\/\/usa.visa.com\/partner-with-us\/visa-consulting-analytics\/spending-momentum-index.html"},{"id":737,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"National Housing Survey","press_release":true,"link":"https:\/\/www.fanniemae.com\/research-and-insights\/surveys-indices\/national-housing-survey","notes":"The monthly National Housing Survey\u00ae is a nationally representative telephone survey polling 1,000 consumers a month about owning and renting a home, home and rental price changes, the economy, household finances, and overall consumer confidence. Respondents are asked more than 100 questions, six of which are distilled into a single indicator \u2013 the Home Purchase Sentiment Index\u00ae, or \u201cHPSI\u201d \u2013 designed to provide signals on future housing outcomes."},{"id":738,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Quits and Layoffs to Nonemployment Based on the Consumer Population Survey (CPS)","press_release":true,"link":"https:\/\/sites.google.com\/qlmonthly.com\/home\/data","notes":"The Ellieroth and Michaud (EM) quit and layoff collection track the shares (percentage) of U.S. workers who quit and who are laid off to non-employed in a given month based on the Current Population Survey (CPS). Series tracking subsequent labor force exit rates of each group are also provided. These series provide timely indicators of quits, layoffs, and labor supply for the U.S. economy."},{"id":739,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Kansas City Fed Policy Rate Uncertainty","press_release":true,"link":"https:\/\/www.kansascityfed.org\/data-and-trends\/kansas-city-fed-policy-rate-uncertainty\/","notes":"The Kansas City Fed\u2019s Measure of Policy Rate Uncertainty (KC PRU) is a daily measure of market-based uncertainty regarding where short-term U.S. interest rates will be one year in the future."},{"id":740,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Survey of Regional Conditions and Expectations (SORCE)","press_release":false,"link":"https:\/\/www.clevelandfed.org\/indicators-and-data\/survey-of-regional-conditions-and-expectations","notes":"The Cleveland Fed Survey of Regional Conditions and Expectations (SORCE) Indexes serve as timely indicators of economic activity in the Fourth District of the Federal Reserve System, which covers all of Ohio and parts of Pennsylvania, Kentucky, and West Virginia."},{"id":741,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Bankrate Consumer Polls","press_release":true},{"id":742,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Bankrate Monitor (BRM) National Index","press_release":false},{"id":769,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Fujita, Moscarini, and Postel-Vinay Employer-to-Employer Transition Probability","press_release":true,"link":"https:\/\/www.philadelphiafed.org\/surveys-and-data\/macroeconomic-data\/employer-to-employer-transition-probability"},{"id":1033,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Select time series based on the U.S. Survey of Working Arrangements and Attitudes (SWAA)","press_release":false,"link":"https:\/\/wfhresearch.com\/data\/"},{"id":1105,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Tri-Party General Collateral Rate Data","press_release":false,"link":"https:\/\/www.newyorkfed.org\/markets\/reference-rates\/tgcr","notes":"The Tri-Party General Collateral Rate (TGCR) is a measure of rates on overnight, specific-counterparty tri-party general collateral repurchase agreement (repo) transactions secured by Treasury securities. General collateral repo transactions are those for which the specific securities provided as collateral are not identified until after other terms of the trade are agreed.\r\n\r\nThe TGCR is calculated as a volume-weighted median of transaction-level tri-party repo data collected from the Bank of New York Mellon. Each business day, the New York Fed publishes the TGCR on the New York Fed website at approximately 8:00 a.m. ET.\r\n\r\nFor more information on the TGCR\u2019s publication schedule and methodology, see Additional Information about Reference Rates Administered by the New York Fed (https:\/\/www.newyorkfed.org\/markets\/reference-rates\/additional-information-about-reference-rates#tgcr_bgcr_sofr_calculation_methodology)."},{"id":1132,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Dallas Fed Energy Survey","press_release":false,"link":"https:\/\/www.dallasfed.org\/research\/surveys\/des\/about","notes":"The Dallas Fed Energy Survey is a quarterly assessment of oil and gas firms' operations. Executives report on business conditions involving a number of indicators, such as business activity, capital expenditures, employment, input prices and company outlook. For all questions, participants are asked whether the indicator has increased, decreased or remained unchanged relative to the prior quarter and the year-ago quarter. Participants are also given the opportunity to submit comments on current issues that may be affecting their business.\r\n\r\nThe Dallas Fed Energy Survey samples about 200 companies and began collecting data in first quarter 2016. The survey covers upstream energy firms located or headquartered in the Eleventh Federal Reserve District--Texas, southern New Mexico and northern Louisiana--including exploration and production (E&P) companies and oil and gas support services firms. The survey does not cover midstream companies such as pipeline transportation services firms or downstream companies such as petroleum refiners. (These industries are included in the Texas Business Outlook Surveys https:\/\/www.dallasfed.org\/research\/surveys.aspx.) Energy Survey questionnaires are electronically transmitted to respondents toward the end of each quarter, and answers are collected over seven business days. Results are generally published the last Wednesday of the quarter.\r\n\r\nSurvey responses are used to calculate an index for each indicator. Each index is calculated by subtracting the percentage of respondents reporting a decrease from the percentage reporting an increase. When the share of firms reporting an increase exceeds the share of firms reporting a decrease, the index will be greater than zero, suggesting the indicator increased over the prior period. If the share of firms reporting a decrease exceeds the share reporting an increase, the index will be less than zero, suggesting the indicator has decreased over the prior period.\r\n\r\nThe indexes are not currently seasonally adjusted. The indexes that reflect how the indicators have changed from the same quarter a year ago are not likely subject to seasonal bias. The indexes covering changes from the prior quarter may exhibit seasonal patterns. Users should be cautioned that to the extent these patterns are important, this could lead to misinterpretations about what is driving changes in the indicators."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/releases/page-desc.json b/tests/fixtures/corpus/releases/page-desc.json new file mode 100644 index 0000000..cf885a7 --- /dev/null +++ b/tests/fixtures/corpus/releases/page-desc.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"release_id","sort_order":"desc","count":329,"offset":2,"limit":5,"releases":[{"id":1033,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Select time series based on the U.S. Survey of Working Arrangements and Attitudes (SWAA)","press_release":false,"link":"https:\/\/wfhresearch.com\/data\/"},{"id":769,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Fujita, Moscarini, and Postel-Vinay Employer-to-Employer Transition Probability","press_release":true,"link":"https:\/\/www.philadelphiafed.org\/surveys-and-data\/macroeconomic-data\/employer-to-employer-transition-probability"},{"id":742,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Bankrate Monitor (BRM) National Index","press_release":false},{"id":741,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Bankrate Consumer Polls","press_release":true},{"id":740,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Survey of Regional Conditions and Expectations (SORCE)","press_release":false,"link":"https:\/\/www.clevelandfed.org\/indicators-and-data\/survey-of-regional-conditions-and-expectations","notes":"The Cleveland Fed Survey of Regional Conditions and Expectations (SORCE) Indexes serve as timely indicators of economic activity in the Fourth District of the Federal Reserve System, which covers all of Ohio and parts of Pennsylvania, Kentucky, and West Virginia."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-categories/DGS10.json b/tests/fixtures/corpus/series-categories/DGS10.json new file mode 100644 index 0000000..ea6bddb --- /dev/null +++ b/tests/fixtures/corpus/series-categories/DGS10.json @@ -0,0 +1 @@ +{"categories":[{"id":115,"name":"Treasury Constant Maturity","parent_id":22}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-categories/UNRATE.json b/tests/fixtures/corpus/series-categories/UNRATE.json new file mode 100644 index 0000000..15fa771 --- /dev/null +++ b/tests/fixtures/corpus/series-categories/UNRATE.json @@ -0,0 +1 @@ +{"categories":[{"id":32447,"name":"Unemployment Rate","parent_id":12,"notes":"The ratio of unemployed to the civilian labor force expressed as a percent."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-observations/CPIAUCSL_pch.json b/tests/fixtures/corpus/series-observations/CPIAUCSL_pch.json new file mode 100644 index 0000000..415fd56 --- /dev/null +++ b/tests/fixtures/corpus/series-observations/CPIAUCSL_pch.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","observation_start":"2020-01-01","observation_end":"2022-12-31","units":"pch","output_type":1,"file_type":"json","order_by":"observation_date","sort_order":"asc","count":36,"offset":0,"limit":100000,"observations":[{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-01-01","value":"0.19217"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-02-01","value":"0.04747"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-03-01","value":"-0.45284"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-04-01","value":"-0.79201"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-05-01","value":"-0.08983"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-06-01","value":"0.48475"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-07-01","value":"0.50964"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-08-01","value":"0.37313"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-09-01","value":"0.26261"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-10-01","value":"0.12385"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-11-01","value":"0.22741"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2020-12-01","value":"0.43463"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-01-01","value":"0.24500"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-02-01","value":"0.33957"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-03-01","value":"0.52432"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-04-01","value":"0.62387"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-05-01","value":"0.66351"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-06-01","value":"0.84618"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-07-01","value":"0.46147"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-08-01","value":"0.28429"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-09-01","value":"0.45255"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-10-01","value":"0.96382"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-11-01","value":"0.85663"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2021-12-01","value":"0.69052"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-01-01","value":"0.60460"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-02-01","value":"0.69264"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-03-01","value":"1.11564"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-04-01","value":"0.30834"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-05-01","value":"0.94850"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-06-01","value":"1.25610"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-07-01","value":"-0.01492"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-08-01","value":"0.06239"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-09-01","value":"0.42427"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-10-01","value":"0.55948"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-11-01","value":"0.26140"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2022-12-01","value":"0.01540"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-observations/DEXCAUS_holidays.json b/tests/fixtures/corpus/series-observations/DEXCAUS_holidays.json new file mode 100644 index 0000000..3737074 --- /dev/null +++ b/tests/fixtures/corpus/series-observations/DEXCAUS_holidays.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","observation_start":"2023-12-20","observation_end":"2024-01-05","units":"lin","output_type":1,"file_type":"json","order_by":"observation_date","sort_order":"asc","count":13,"offset":0,"limit":100000,"observations":[{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2023-12-20","value":"1.3322"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2023-12-21","value":"1.3294"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2023-12-22","value":"1.3259"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2023-12-25","value":"."},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2023-12-26","value":"1.3208"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2023-12-27","value":"1.3201"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2023-12-28","value":"1.3202"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2023-12-29","value":"1.3202"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2024-01-01","value":"."},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2024-01-02","value":"1.331"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2024-01-03","value":"1.3358"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2024-01-04","value":"1.3355"},{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","date":"2024-01-05","value":"1.3331"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-observations/DGS10_2024.json b/tests/fixtures/corpus/series-observations/DGS10_2024.json new file mode 100644 index 0000000..f2b8554 --- /dev/null +++ b/tests/fixtures/corpus/series-observations/DGS10_2024.json @@ -0,0 +1 @@ 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\ No newline at end of file diff --git a/tests/fixtures/corpus/series-observations/GDP_quarterly.json b/tests/fixtures/corpus/series-observations/GDP_quarterly.json new file mode 100644 index 0000000..8cf6ee5 --- /dev/null +++ b/tests/fixtures/corpus/series-observations/GDP_quarterly.json @@ -0,0 +1 @@ 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\ No newline at end of file diff --git a/tests/fixtures/corpus/series-observations/GNPCA.json b/tests/fixtures/corpus/series-observations/GNPCA.json new file mode 100644 index 0000000..bc590d5 --- /dev/null +++ b/tests/fixtures/corpus/series-observations/GNPCA.json @@ -0,0 +1 @@ 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\ No newline at end of file diff --git a/tests/fixtures/corpus/series-observations/GNPCA_log.json b/tests/fixtures/corpus/series-observations/GNPCA_log.json new file mode 100644 index 0000000..3de3be9 --- /dev/null +++ b/tests/fixtures/corpus/series-observations/GNPCA_log.json @@ -0,0 +1 @@ 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+{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_count","sort_order":"desc","count":1,"offset":0,"limit":10,"tags":[{"name":"quarterly","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":84,"series_count":2328}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-search/EMPTY_RESULT.json b/tests/fixtures/corpus/series-search/EMPTY_RESULT.json new file mode 100644 index 0000000..4b1d2c9 --- /dev/null +++ b/tests/fixtures/corpus/series-search/EMPTY_RESULT.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"search_rank","sort_order":"desc","count":0,"offset":0,"limit":1000,"seriess":[]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-search/exchange_tags.json b/tests/fixtures/corpus/series-search/exchange_tags.json new file mode 100644 index 0000000..41a885e --- /dev/null +++ b/tests/fixtures/corpus/series-search/exchange_tags.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"search_rank","sort_order":"desc","count":257,"offset":0,"limit":5,"seriess":[{"id":"DTWEXBGS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Broad U.S. Dollar Index","observation_start":"2006-01-02","observation_end":"2026-06-26","frequency":"Daily","frequency_short":"D","units":"Index Jan 2006=100","units_short":"Index Jan 2006=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 15:16:40-05","popularity":83,"group_popularity":84,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h10\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"DEXJPUS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Japanese Yen to U.S. Dollar Spot Exchange Rate","observation_start":"1971-01-04","observation_end":"2026-06-26","frequency":"Daily","frequency_short":"D","units":"Japanese Yen to One U.S. Dollar","units_short":"Japanese Yen to 1 U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 15:16:33-05","popularity":77,"group_popularity":79,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h10\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"DEXUSEU","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"U.S. Dollars to Euro Spot Exchange Rate","observation_start":"1999-01-04","observation_end":"2026-06-26","frequency":"Daily","frequency_short":"D","units":"U.S. Dollars to One Euro","units_short":"U.S. $ to 1 Euro","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 15:16:28-05","popularity":76,"group_popularity":79,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h10\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"DEXCHUS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate","observation_start":"1981-01-02","observation_end":"2026-06-26","frequency":"Daily","frequency_short":"D","units":"Chinese Yuan Renminbi to One U.S. Dollar","units_short":"Chinese Yuan Renminbi to 1 U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 15:16:25-05","popularity":71,"group_popularity":75,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h10\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"DEXUSUK","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"U.S. Dollars to U.K. Pound Sterling Spot Exchange Rate","observation_start":"1971-01-04","observation_end":"2026-06-26","frequency":"Daily","frequency_short":"D","units":"U.S. Dollars to One U.K. Pound Sterling","units_short":"U.S. $ to 1 U.K. Pound Sterling","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 15:16:33-05","popularity":66,"group_popularity":70,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h10\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-search/monetary.json b/tests/fixtures/corpus/series-search/monetary.json new file mode 100644 index 0000000..878cffc --- /dev/null +++ b/tests/fixtures/corpus/series-search/monetary.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"search_rank","sort_order":"desc","count":23602,"offset":0,"limit":1000,"seriess":[{"id":"BOGMBASE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Base: Total","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:17-05","popularity":77,"group_popularity":77,"notes":"H.6 Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on August 20, 2020.\n\nThe monetary base equals currency in circulation plus reserve balances.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"M2SL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-23 12:01:25-05","popularity":96,"group_popularity":97,"notes":"announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"WM2NS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2","observation_start":"1981-01-05","observation_end":"2026-06-01","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:17-05","popularity":85,"group_popularity":97,"notes":"announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"M2NS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:24-05","popularity":63,"group_popularity":97,"notes":"announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"MABMM301USM189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2023-11-01","frequency":"Monthly","frequency_short":"M","units":"US Dollar","units_short":"US $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2024-01-12 14:12:02-06","popularity":62,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: IX\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: _Z\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"M2V","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Velocity of M2 Money Stock","observation_start":"1959-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Ratio","units_short":"Ratio","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-25 07:56:19-05","popularity":81,"group_popularity":81,"notes":"Calculated as the ratio of quarterly nominal GDP (https:\/\/fred.stlouisfed.org\/series\/GDP) to the quarterly average of M2 money stock (https:\/\/fred.stlouisfed.org\/series\/M2SL).\r\n\r\nThe velocity of money is the frequency at which one unit of currency is used to purchase domestically- produced goods and services within a given time period. In other words, it is the number of times one dollar is spent to buy goods and services per unit of time. If the velocity of money is increasing, then more transactions are occurring between individuals in an economy.\r\nThe frequency of currency exchange can be used to determine the velocity of a given component of the money supply, providing some insight into whether consumers and businesses are saving or spending their money. There are several components of the money supply,: M1, M2, and MZM (M3 is no longer tracked by the Federal Reserve); these components are arranged on a spectrum of narrowest to broadest. Consider M1, the narrowest component. M1 is the money supply of currency in circulation (notes and coins, traveler's checks [non-bank issuers], demand deposits, and checkable deposits). A decreasing velocity of M1 might indicate fewer short- term consumption transactions are taking place. We can think of shorter- term transactions as consumption we might make on an everyday basis.\r\n\r\nBeginning May 2020, M2 consists of M1 plus (1) small-denomination time deposits (time deposits in amounts of less than $100,000) less IRA and Keogh balances at depository institutions; and (2) balances in retail MMFs less IRA and Keogh balances at MMFs. Seasonally adjusted M2 is constructed by summing savings deposits (before May 2020), small-denomination time deposits, and retail MMFs, each seasonally adjusted separately, and adding this result to seasonally adjusted M1. For more information on the H.6 release changes and the regulatory amendment that led to the creation of the other liquid deposits component and its inclusion in the M1 monetary aggregate, see the H.6 announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\r\n\r\n\r\nMZM (money with zero maturity) is the broadest component and consists of the supply of financial assets redeemable at par on demand: notes and coins in circulation, traveler's checks (non-bank issuers), demand deposits, other checkable deposits, savings deposits, and all money market funds. The velocity of MZM helps determine how often financial assets are switching hands within the economy."},{"id":"M1SL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M1","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-23 12:01:20-05","popularity":79,"group_popularity":81,"notes":"announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"USAMABMM301GYSAM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2026-04-01","frequency":"Monthly","frequency_short":"M","units":"Growth rate same period previous year","units_short":"Growth rate same period previous Yr.","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 15:39:15-05","popularity":22,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: GY\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301USA657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 15:51:28-05","popularity":12,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: A\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"WM1NS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M1","observation_start":"1981-01-05","observation_end":"2026-06-01","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:16-05","popularity":61,"group_popularity":81,"notes":"announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"MABMM301USM657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1959-02-01","observation_end":"2026-04-01","frequency":"Monthly","frequency_short":"M","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 15:52:02-05","popularity":8,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"USAMABMM301GYSAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Growth rate same period previous year","units_short":"Growth rate same period previous Yr.","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 15:39:49-05","popularity":7,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: GY\nFREQ: Q\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301USQ189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2023-07-01","frequency":"Quarterly","frequency_short":"Q","units":"US Dollar","units_short":"US $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2024-01-12 14:02:21-06","popularity":6,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: IX\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: _Z\nFREQ: Q\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301USA189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"US Dollar","units_short":"US $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2024-01-12 14:29:04-06","popularity":5,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: IX\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: _Z\nFREQ: A\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301USQ657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1959-04-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 15:51:16-05","popularity":5,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: Q\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"USAMABMM301IXOBSAM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2023-09-01","frequency":"Monthly","frequency_short":"M","units":"Index 2015=100","units_short":"Index 2015=100","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2023-11-17 12:00:10-06","popularity":4,"group_popularity":63,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: IDX\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"MBCURRCIR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Base: Currency in Circulation","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:23-05","popularity":60,"group_popularity":60,"notes":"H.6 Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on August 20, 2020.\n\nCurrency in circulation includes Federal Reserve notes and coin outside the U.S. Treasury and Federal Reserve Banks. The total includes Treasury estimates of coins outstanding and Treasury paper currency outstanding. This definition of currency in circulation differs from the currency component of the money stock (CURRENCY) (https:\/\/fred.stlouisfed.org\/series\/CURRENCY), which excludes currency held in vaults of depository institutions.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"USAMABMM301IXOBSAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2023-07-01","frequency":"Quarterly","frequency_short":"Q","units":"Index 2015=100","units_short":"Index 2015=100","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2023-11-17 11:42:20-06","popularity":1,"group_popularity":63,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: IDX\nOECD country ID: USA\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"M1NS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M1","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:22-05","popularity":41,"group_popularity":81,"notes":"announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"M2REAL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real M2 Money Stock","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of 1982-84 Dollars","units_short":"Bil. of 1982-84 $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-23 12:14:21-05","popularity":71,"group_popularity":71,"notes":"This series deflates M2 money stock (https:\/\/fred.stlouisfed.org\/series\/M2SL) with CPI (https:\/\/fred.stlouisfed.org\/series\/CPIAUCSL)."},{"id":"BOGMBBM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Base: Reserve Balances","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:14-05","popularity":46,"group_popularity":46,"notes":"H.6 Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on August 20, 2020.\n\nTotal balances maintained are balances that an institution holds in a reserve account directly at a Federal Reserve Bank.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"MYAGM2USM052S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 for United States","observation_start":"1959-01-01","observation_end":"2017-03-01","frequency":"Monthly","frequency_short":"M","units":"Dollars","units_short":"$","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2017-06-01 15:51:23-05","popularity":57,"group_popularity":58,"notes":"M2 comprises M1 plus (1) savings deposits (including money market deposit accounts); (2) small-denomination time deposits (time deposits in amounts of less than $100,000), less IRA and Keogh balances at other depository corporations; and (3) balances in retail money market mutual funds, less IRA and Keogh balances at money market mutual funds. Seasonally adjusted M2 is constructed by summing savings deposits, small-denomination time deposits, and retail money funds, each seasonally adjusted separately, and adding this result to seasonally adjusted M1.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"M1V","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Velocity of M1 Money Stock","observation_start":"1959-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Ratio","units_short":"Ratio","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-25 07:56:19-05","popularity":62,"group_popularity":62,"notes":"Calculated as the ratio of quarterly nominal GDP (GDP (https:\/\/fred.stlouisfed.org\/series\/GDP)) to the quarterly average of M1 money stock (M1SL (https:\/\/fred.stlouisfed.org\/series\/M1SL))\r\n\r\nThe velocity of money is the frequency at which one unit of currency is used to purchase domestically- produced goods and services within a given time period. In other words, it is the number of times one dollar is spent to buy goods and services per unit of time. If the velocity of money is increasing, then more transactions are occurring between individuals in an economy.\r\n\r\nThe frequency of currency exchange can be used to determine the velocity of a given component of the money supply, providing some insight into whether consumers and businesses are saving or spending their money. There are several components of the money supply,: M1, M2, and MZM (M3 is no longer tracked by the Federal Reserve); these components are arranged on a spectrum of narrowest to broadest. Consider M1, the narrowest component. M1 is the money supply of currency in circulation (notes and coins, demand deposits, and other liquid deposits). A decreasing velocity of M1 might indicate fewer short- term consumption transactions are taking place. We can think of shorter- term transactions as consumption we might make on an everyday basis.\r\n\r\nBeginning May 2020, M1 consists of (1) currency outside the U.S. Treasury, Federal Reserve Banks, and the vaults of depository institutions; (2) demand deposits at commercial banks (excluding those amounts held by depository institutions, the U.S. government, and foreign banks and official institutions) less cash items in the process of collection and Federal Reserve float; and (3) other liquid deposits, consisting of OCDs and savings deposits (including money market deposit accounts). Seasonally adjusted M1 is constructed by summing currency, demand deposits, and OCDs (before May 2020) or other liquid deposits (beginning May 2020), each seasonally adjusted separately. For more information on the H.6 release changes and the regulatory amendment that led to the creation of the other liquid deposits component and its inclusion in the M1 monetary aggregate, see the H.6 announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\r\n\r\nThe broader M2 component includes M1 in addition to saving deposits, certificates of deposit (less than $100,000), and money market deposits for individuals. Comparing the velocities of M1 and M2 provides some insight into how quickly the economy is spending and how quickly it is saving.\r\n\r\nMZM (money with zero maturity) is the broadest component and consists of the supply of financial assets redeemable at par on demand: notes and coins in circulation, traveler\u2019s checks (non-bank issuers), demand deposits, other checkable deposits, savings deposits, and all money market funds. The velocity of MZM helps determine how often financial assets are switching hands within the economy."},{"id":"MYAGM2USM052N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 for United States","observation_start":"1959-01-01","observation_end":"2017-03-01","frequency":"Monthly","frequency_short":"M","units":"Dollars","units_short":"$","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-06-01 15:51:17-05","popularity":12,"group_popularity":58,"notes":"M2 comprises M1 plus (1) savings deposits (including money market deposit accounts); (2) small-denomination time deposits (time deposits in amounts of less than $100,000), less IRA and Keogh balances at other depository corporations; and (3) balances in retail money market mutual funds, less IRA and Keogh balances at money market mutual funds. Seasonally adjusted M2 is constructed by summing savings deposits, small-denomination time deposits, and retail money funds, each seasonally adjusted separately, and adding this result to seasonally adjusted M1.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"MYAGM2CNM189N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 for China","observation_start":"1998-12-01","observation_end":"2019-08-01","frequency":"Monthly","frequency_short":"M","units":"National Currency","units_short":"National Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-11-11 07:02:02-06","popularity":55,"group_popularity":55,"notes":"M2 comprises M1 plus time and savings deposits in national currency of resident non-bank financial corporations and non-bank non-government sectors with the PBC and banking institutions.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"AMBSL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Monetary Base (DISCONTINUED)","observation_start":"1918-01-01","observation_end":"2019-11-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2019-12-13 10:23:01-06","popularity":28,"group_popularity":38,"notes":"Updates of this series will be ceased on December 20, 2019. Interested users can access the not seasonally adjusted version of this series from the H.3 release, BOGMBASE (https:\/\/fred.stlouisfed.org\/series\/BOGMBASE).\nFor more details, see the FRED Announcement (https:\/\/news.research.stlouisfed.org\/2019\/12\/discontinuance-of-st-louis-monetary-base-and-reserves-data\/)."},{"id":"BASE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Monetary Base (DISCONTINUED)","observation_start":"1984-02-15","observation_end":"2019-12-18","frequency":"Biweekly, Ending Wednesday","frequency_short":"BW","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2019-12-19 15:31:01-06","popularity":21,"group_popularity":38,"notes":"Updates of this series will be ceased on December 19, 2019. Interested users can access the not seasonally adjusted version of this series from the H.3 release, BOGMBASEW (https:\/\/fred.stlouisfed.org\/series\/BOGMBASEW).\nFor more details, see the FRED Announcement (https:\/\/news.research.stlouisfed.org\/2019\/12\/discontinuance-of-st-louis-monetary-base-and-reserves-data\/)."},{"id":"AMBNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Monetary Base (DISCONTINUED)","observation_start":"1918-01-01","observation_end":"2019-11-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-12-13 10:23:01-06","popularity":9,"group_popularity":38,"notes":"Updates of this series will be ceased on December 20, 2019. This series doesn't convey any additional information beyond what's available in the base series published through the H.3 release, BOGMBASE (https:\/\/fred.stlouisfed.org\/series\/BOGMBASE). The discontinued series plotted on the same graph for comparison can be accessed here (https:\/\/fred.stlouisfed.org\/graph\/?g=lUNt).\nFor more details, see the FRED Announcement (https:\/\/news.research.stlouisfed.org\/2019\/12\/discontinuance-of-st-louis-monetary-base-and-reserves-data\/)."},{"id":"DISBASE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Monetary Base (DISCONTINUED)","observation_start":"1984-03-14","observation_end":"2003-07-09","frequency":"Biweekly, Ending Wednesday","frequency_short":"BW","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2003-07-14 17:32:55-05","popularity":6,"group_popularity":38,"notes":"This series was discontinued on July 14, 2003. For information on the construction of this series, please refer to http:\/\/research.stlouisfed.org\/aggreg\/newbase.html. For information on the reconstructed series (BASE), available starting on July 14, 2003, please refer to https:\/\/files.stlouisfed.org\/research\/publications\/review\/03\/09\/Anderson.pdf."},{"id":"DISAMBNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Monetary Base (DISCONTINUED)","observation_start":"1936-01-01","observation_end":"2003-06-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2003-07-14 17:53:19-05","popularity":3,"group_popularity":38,"notes":"This series was discontinued on July 14, 2003. For information on the construction of this series, please refer to http:\/\/research.stlouisfed.org\/aggreg\/newbase.html. For information on the reconstructed series (AMBNS), available starting on July 14, 2003, please refer to https:\/\/files.stlouisfed.org\/research\/publications\/review\/03\/09\/Anderson.pdf."},{"id":"DISAMBSL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Monetary Base (DISCONTINUED)","observation_start":"1950-01-01","observation_end":"2003-06-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2003-07-14 17:54:17-05","popularity":3,"group_popularity":38,"notes":"This series was discontinued on July 14, 2003. For information on the construction of this series, please refer to http:\/\/research.stlouisfed.org\/aggreg\/newbase.html. For information on the reconstructed series (AMBSL), available starting on July 14, 2003, please refer to https:\/\/files.stlouisfed.org\/research\/publications\/review\/03\/09\/Anderson.pdf."},{"id":"BASENS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Monetary Base (DISCONTINUED)","observation_start":"1984-02-15","observation_end":"2019-12-18","frequency":"Biweekly, Ending Wednesday","frequency_short":"BW","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-12-19 15:31:02-06","popularity":2,"group_popularity":38,"notes":"Updates of this series will be ceased on December 19, 2019. This series doesn't convey any additional information beyond what's available in the base series published through the H.3 release, BOGMBASEW (https:\/\/fred.stlouisfed.org\/series\/BOGMBASEW). View both series (plotted on the same graph) for comparison here (https:\/\/fred.stlouisfed.org\/graph\/?g=lUIT).\nFor more details, see the FRED Announcement (https:\/\/news.research.stlouisfed.org\/2019\/12\/discontinuance-of-st-louis-monetary-base-and-reserves-data\/)."},{"id":"DSBASENS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Monetary Base (DISCONTINUED)","observation_start":"1984-02-15","observation_end":"2003-07-09","frequency":"Biweekly, Ending Wednesday","frequency_short":"BW","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2003-07-14 17:31:08-05","popularity":1,"group_popularity":38,"notes":"This series was discontinued on July 14, 2003. For information on the construction of this series, please refer to http:\/\/research.stlouisfed.org\/aggreg\/newbase.html. For information on the reconstructed series (BASENS), available starting on July 14, 2003, please refer to https:\/\/files.stlouisfed.org\/research\/publications\/review\/03\/09\/Anderson.pdf."},{"id":"M2","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 (DISCONTINUED)","observation_start":"1981-01-05","observation_end":"2021-02-01","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-02-24 12:01:21-06","popularity":54,"group_popularity":54,"notes":"WM2NS (https:\/\/fred.stlouisfed.org\/series\/WM2NS), and the seasonally adjusted monthly series is M2SL (https:\/\/fred.stlouisfed.org\/series\/M2SL).\n\nStarting on February 23, 2021, the H.6 statistical release is now published at a monthly frequency and contains only monthly average data needed to construct the monetary aggregates. Weekly average, non-seasonally adjusted data will continue to be made available, while weekly average, seasonally adjusted data will no longer be provided. For further information about the changes to the H.6 statistical release, see the announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) provided by the source.\n\nBefore May 2020, M2 consists of M1 plus (1) savings deposits (including money market deposit accounts); (2) small-denomination time deposits (time deposits in amounts of less than $100,000) less individual retirement account (IRA) and Keogh balances at depository institutions; and (3) balances in retail money market funds (MMFs) less IRA and Keogh balances at MMFs.\n\nBeginning May 2020, M2 consists of M1 plus (1) small-denomination time deposits (time deposits in amounts of less than $100,000) less IRA and Keogh balances at depository institutions; and (2) balances in retail MMFs less IRA and Keogh balances at MMFs. Seasonally adjusted M2 is constructed by summing savings deposits (before May 2020), small-denomination time deposits, and retail MMFs, each seasonally adjusted separately, and adding this result to seasonally adjusted M1. For more information on the H.6 release changes and the regulatory amendment that led to the creation of the other liquid deposits component and its inclusion in the M1 monetary aggregate, see the H.6 announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"MABMM301EZM189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-01-01","observation_end":"2023-11-01","frequency":"Monthly","frequency_short":"M","units":"Euro","units_short":"Euro","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2024-01-12 14:24:04-06","popularity":30,"group_popularity":36,"notes":"OECD Data Filters: \nREF_AREA: EA19\nMEASURE: MABM\nUNIT_MEASURE: IX\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: _Z\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MYAGM2JPM189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 for Japan","observation_start":"1955-01-01","observation_end":"2017-02-01","frequency":"Monthly","frequency_short":"M","units":"National Currency","units_short":"National Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2017-07-03 11:31:03-05","popularity":46,"group_popularity":48,"notes":"M2 comprises notes and coins in circulation outside banking corporations; demand and savings deposits, fixed and installment savings deposits, time deposits, and certificates of deposit of households, nonfinancial corporations, local governments, securities companies, Tanshi companies, and some other financial corporations such as securities finance companies with banking corporations in national and foreign currency; and nonresident deposits with banking corporations in national currency. Beginning in April 2003, M2 comprises notes and coins in circulation outside depository corporations and demand and savings deposits, fixed and installment savings deposits, time deposits, and certificates of deposit of households, nonfinancial corporations, local governments, and some other financial corporations such as securities finance companies with banking corporations in national and foreign currency.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"MABMM301EZM657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-02-01","observation_end":"2025-12-01","frequency":"Monthly","frequency_short":"M","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-02-16 15:17:36-06","popularity":11,"group_popularity":36,"notes":"OECD Data Filters: \nREF_AREA: EA19\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"EA19MABMM301GYSAM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1971-01-01","observation_end":"2025-12-01","frequency":"Monthly","frequency_short":"M","units":"Growth rate same period previous year","units_short":"Growth rate same period previous Yr.","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-02-16 15:45:02-06","popularity":6,"group_popularity":36,"notes":"OECD Data Filters: \nREF_AREA: EA19\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: GY\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301EZA657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1971-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-02-16 15:19:24-06","popularity":5,"group_popularity":36,"notes":"OECD Data Filters: \nREF_AREA: EA19\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: A\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301EZM189N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-01-01","observation_end":"2023-11-01","frequency":"Monthly","frequency_short":"M","units":"Euro","units_short":"Euro","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-01-12 14:24:19-06","popularity":5,"group_popularity":36,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: EUR\nOECD country ID: EA19\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"EA19MABMM301IXOBSAM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-01-01","observation_end":"2023-09-01","frequency":"Monthly","frequency_short":"M","units":"Index 2015=100","units_short":"Index 2015=100","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2023-11-17 12:13:18-06","popularity":4,"group_popularity":36,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: IDX\nOECD country ID: EA19\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"MABMM301EZA189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Euro","units_short":"Euro","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2023-12-12 15:05:03-06","popularity":3,"group_popularity":36,"notes":"OECD Data Filters: \nREF_AREA: EA19\nMEASURE: MABM\nUNIT_MEASURE: IX\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: _Z\nFREQ: A\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301EZQ189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-01-01","observation_end":"2023-07-01","frequency":"Quarterly","frequency_short":"Q","units":"Euro","units_short":"Euro","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2024-01-12 14:15:28-06","popularity":2,"group_popularity":36,"notes":"OECD Data Filters: \nREF_AREA: EA19\nMEASURE: MABM\nUNIT_MEASURE: IX\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: _Z\nFREQ: Q\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301EZQ657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-04-01","observation_end":"2025-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-02-16 15:17:33-06","popularity":1,"group_popularity":36,"notes":"OECD Data Filters: \nREF_AREA: EA19\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: Q\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301EZA189N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Euro","units_short":"Euro","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-12-12 15:06:35-06","popularity":1,"group_popularity":36,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: EUR\nOECD country ID: EA19\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"EA19MABMM301GYSAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1971-01-01","observation_end":"2025-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Growth rate same period previous year","units_short":"Growth rate same period previous Yr.","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-02-16 15:42:14-06","popularity":1,"group_popularity":36,"notes":"OECD Data Filters: \nREF_AREA: EA19\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: GY\nFREQ: Q\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301EZQ189N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-01-01","observation_end":"2023-07-01","frequency":"Quarterly","frequency_short":"Q","units":"Euro","units_short":"Euro","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-01-12 14:15:28-06","popularity":1,"group_popularity":36,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: EUR\nOECD country ID: EA19\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"EA19MABMM301IXOBSAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for Euro Area (19 Countries)","observation_start":"1970-01-01","observation_end":"2023-07-01","frequency":"Quarterly","frequency_short":"Q","units":"Index 2015=100","units_short":"Index 2015=100","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2023-11-17 11:55:26-06","popularity":1,"group_popularity":36,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: IDX\nOECD country ID: EA19\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"MYAGM2JPM189N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 for Japan","observation_start":"1967-01-01","observation_end":"2017-02-01","frequency":"Monthly","frequency_short":"M","units":"National Currency","units_short":"National Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-07-03 11:31:08-05","popularity":11,"group_popularity":48,"notes":"M2 comprises notes and coins in circulation outside banking corporations; demand and savings deposits, fixed and installment savings deposits, time deposits, and certificates of deposit of households, nonfinancial corporations, local governments, securities companies, Tanshi companies, and some other financial corporations such as securities finance companies with banking corporations in national and foreign currency; and nonresident deposits with banking corporations in national currency. Beginning in April 2003, M2 comprises notes and coins in circulation outside depository corporations and demand and savings deposits, fixed and installment savings deposits, time deposits, and certificates of deposit of households, nonfinancial corporations, local governments, and some other financial corporations such as securities finance companies with banking corporations in national and foreign currency.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"CURRSL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Currency Component of M1","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-23 12:01:13-05","popularity":43,"group_popularity":53,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"CURRNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Currency Component of M1","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:13-05","popularity":35,"group_popularity":53,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"WCURRNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Currency Component of M1","observation_start":"1975-01-06","observation_end":"2026-06-01","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:26-05","popularity":25,"group_popularity":53,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"M1REAL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real M1 Money Stock","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of 1982-84 Dollars","units_short":"Bil. of 1982-84 $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-23 12:14:22-05","popularity":51,"group_popularity":51,"notes":"This series deflates M1 money stock (https:\/\/fred.stlouisfed.org\/series\/M1SL) with CPI (https:\/\/fred.stlouisfed.org\/series\/CPIAUCSL)."},{"id":"MYAGM2KRM189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 for Republic of Korea","observation_start":"1970-01-01","observation_end":"2017-05-01","frequency":"Monthly","frequency_short":"M","units":"National Currency","units_short":"National Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2019-04-29 07:02:03-05","popularity":39,"group_popularity":40,"notes":"M2 refers to M1 plus money market funds, cash management accounts, short-term money in trust, securities investment savings accounts, and short-term time and savings deposits in national currency, and short-term foreign currency deposits of nonbank financial institutions, state and local governments, nonfinancial public enterprises and private sector with banking institutions, certificates of deposit, bills sold, bills issued, short-term financial debentures, and beneficial certificates issued by banking institutions in national currency held by nonbank financial institutions, state and local governments, nonfinancial public enterprises and the private sector, and repurchase agreements between banking institutions and nonbank financial institutions, state and local governments, nonfinancial public enterprises and the private sector. Short-term refers to a maturity of less than two years.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"M1","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M1 (DISCONTINUED)","observation_start":"1981-01-05","observation_end":"2021-02-01","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-02-24 12:00:58-06","popularity":45,"group_popularity":45,"notes":"WM1NS (https:\/\/fred.stlouisfed.org\/series\/WM1NS), and the seasonally adjusted monthly series is M1SL (https:\/\/fred.stlouisfed.org\/series\/M1SL).\n\nStarting on February 23, 2021, the H.6 statistical release is now published at a monthly frequency and contains only monthly average data needed to construct the monetary aggregates. Weekly average, non-seasonally adjusted data will continue to be made available, while weekly average, seasonally adjusted data will no longer be provided. For further information about the changes to the H.6 statistical release, see the announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) provided by the source.\n\nBefore May 2020, M1 consists of (1) currency outside the U.S. Treasury, Federal Reserve Banks, and the vaults of depository institutions; (2) demand deposits at commercial banks (excluding those amounts held by depository institutions, the U.S. government, and foreign banks and official institutions) less cash items in the process of collection and Federal Reserve float; and (3) other checkable deposits (OCDs), consisting of negotiable order of withdrawal, or NOW, and automatic transfer service, or ATS, accounts at depository institutions, share draft accounts at credit unions, and demand deposits at thrift institutions.\n\nBeginning May 2020, M1 consists of (1) currency outside the U.S. Treasury, Federal Reserve Banks, and the vaults of depository institutions; (2) demand deposits at commercial banks (excluding those amounts held by depository institutions, the U.S. government, and foreign banks and official institutions) less cash items in the process of collection and Federal Reserve float; and (3) other liquid deposits, consisting of OCDs and savings deposits (including money market deposit accounts). Seasonally adjusted M1 is constructed by summing currency, demand deposits, and OCDs (before May 2020) or other liquid deposits (beginning May 2020), each seasonally adjusted separately.\n\nFor more information on the H.6 release changes and the regulatory amendment that led to the creation of the other liquid deposits component and its inclusion in the M1 monetary aggregate, see the H.6 announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"MABMM301INQ657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1951-10-01","observation_end":"2018-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-04-15 15:37:29-05","popularity":12,"group_popularity":27,"notes":"OECD Data Filters: \nREF_AREA: IND\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: Q\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301INM189N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1960-01-01","observation_end":"2023-09-01","frequency":"Monthly","frequency_short":"M","units":"Indian Rupee","units_short":"Indian Rupee","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-11-17 12:10:04-06","popularity":9,"group_popularity":27,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: INR\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"MABMM301INA657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1953-01-01","observation_end":"2018-01-01","frequency":"Annual","frequency_short":"A","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-04-15 15:37:42-05","popularity":7,"group_popularity":27,"notes":"OECD Data Filters: \nREF_AREA: IND\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: A\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301INM189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1960-01-01","observation_end":"2018-12-01","frequency":"Monthly","frequency_short":"M","units":"Indian Rupee","units_short":"Indian Rupee","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2022-09-14 14:52:07-05","popularity":6,"group_popularity":27,"notes":"OECD Data Filters: \nREF_AREA: IND\nMEASURE: MABM\nUNIT_MEASURE: IX\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: _Z\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301INQ189N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1960-01-01","observation_end":"2023-07-01","frequency":"Quarterly","frequency_short":"Q","units":"Indian Rupee","units_short":"Indian Rupee","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-11-17 11:51:03-06","popularity":4,"group_popularity":27,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: INR\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"INDMABMM301GYSAM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1952-05-01","observation_end":"2018-12-01","frequency":"Monthly","frequency_short":"M","units":"Growth rate same period previous year","units_short":"Growth rate same period previous Yr.","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-04-15 16:02:49-05","popularity":3,"group_popularity":27,"notes":"OECD Data Filters: \nREF_AREA: IND\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: GY\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301INQ189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1960-01-01","observation_end":"2018-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Indian Rupee","units_short":"Indian Rupee","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2022-09-14 14:38:10-05","popularity":2,"group_popularity":27,"notes":"OECD Data Filters: \nREF_AREA: IND\nMEASURE: MABM\nUNIT_MEASURE: IX\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: _Z\nFREQ: Q\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"INDMABMM301IXOBSAM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1960-01-01","observation_end":"2018-12-01","frequency":"Monthly","frequency_short":"M","units":"Index 2015=100","units_short":"Index 2015=100","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2022-09-14 14:52:32-05","popularity":2,"group_popularity":27,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: IDX\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"MABMM301INA189S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1960-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Indian Rupee","units_short":"Indian Rupee","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2023-02-14 11:47:03-06","popularity":1,"group_popularity":27,"notes":"OECD Data Filters: \nREF_AREA: IND\nMEASURE: MABM\nUNIT_MEASURE: IX\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: _Z\nFREQ: A\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301INM657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1951-06-01","observation_end":"2018-12-01","frequency":"Monthly","frequency_short":"M","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-04-15 15:37:33-05","popularity":1,"group_popularity":27,"notes":"OECD Data Filters: \nREF_AREA: IND\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301INA189N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1960-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Indian Rupee","units_short":"Indian Rupee","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-01-13 11:35:03-06","popularity":1,"group_popularity":27,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: INR\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"INDMABMM301GYSAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1952-07-01","observation_end":"2018-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Growth rate same period previous year","units_short":"Growth rate same period previous Yr.","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-04-15 16:02:52-05","popularity":1,"group_popularity":27,"notes":"OECD Data Filters: \nREF_AREA: IND\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: GY\nFREQ: Q\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"INDMABMM301IXOBSAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for India","observation_start":"1960-01-01","observation_end":"2018-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Index 2015=100","units_short":"Index 2015=100","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2022-09-14 15:03:16-05","popularity":1,"group_popularity":27,"notes":"OECD Descriptor ID: MABMM301\nOECD unit ID: IDX\nOECD country ID: IND\n\nAll OECD data should be cited as follows: OECD, \"Main Economic Indicators - complete database\", Main Economic Indicators (database), https:\/\/dx.doi.org\/10.1787\/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission"},{"id":"MYAGM2KRM189N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 for Republic of Korea","observation_start":"1960-01-01","observation_end":"2017-05-01","frequency":"Monthly","frequency_short":"M","units":"National Currency","units_short":"National Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-04-29 07:02:11-05","popularity":4,"group_popularity":40,"notes":"M2 refers to M1 plus money market funds, cash management accounts, short-term money in trust, securities investment savings accounts, and short-term time and savings deposits in national currency, and short-term foreign currency deposits of nonbank financial institutions, state and local governments, nonfinancial public enterprises and private sector with banking institutions, certificates of deposit, bills sold, bills issued, short-term financial debentures, and beneficial certificates issued by banking institutions in national currency held by nonbank financial institutions, state and local governments, nonfinancial public enterprises and the private sector, and repurchase agreements between banking institutions and nonbank financial institutions, state and local governments, nonfinancial public enterprises and the private sector. Short-term refers to a maturity of less than two years.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"MYAGM2EZM196N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 for Euro Area","observation_start":"1980-01-01","observation_end":"2017-03-01","frequency":"Monthly","frequency_short":"M","units":"Euros","units_short":"Euros","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-06-01 15:51:25-05","popularity":37,"group_popularity":38,"notes":"M2 comprises M1 plus deposits with agreed maturity up to two years and deposits redeemable at notice up to three months.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"MYAGM2EZQ196N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 for Euro Area","observation_start":"1980-01-01","observation_end":"2017-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Euros","units_short":"Euros","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-06-01 15:51:39-05","popularity":6,"group_popularity":38,"notes":"M2 comprises M1 plus deposits with agreed maturity up to two years and deposits redeemable at notice up to three months.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"MZM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"MZM Money Stock (DISCONTINUED)","observation_start":"1981-01-05","observation_end":"2021-02-01","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-02-24 12:34:37-06","popularity":40,"group_popularity":43,"notes":"This series has been discontinued and will no longer be updated. The institutional money market funds (WIMFSL (https:\/\/fred.stlouisfed.org\/series\/WIMFSL)) and small-denomination time deposits (WSMTIME (https:\/\/fred.stlouisfed.org\/series\/WSMTIME)) components used to calculate this series has been discontinued by the Board of Governors and are no longer available in the H.6 statistical release, Money Stock Measures.\n\nFor further information about the changes to the H.6 statistical release, please see the announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) provided by the source.\n\nM2 less small-denomination time deposits plus institutional money market funds.\nMoney Zero Maturity is calculated by the Federal Reserve Bank of St. Louis."},{"id":"MZMNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"MZM Money Stock (DISCONTINUED)","observation_start":"1959-01-01","observation_end":"2021-01-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-02-24 12:34:33-06","popularity":8,"group_popularity":43,"notes":"This series has been discontinued and will no longer be updated. The institutional money market funds component (IMFNS (https:\/\/fred.stlouisfed.org\/series\/IMFNS)) used to calculate this series has been discontinued by the Board of Governors and is no longer available in the H.6 statistical release, Money Stock Measures.\n\nFor further information about the changes to the H.6 statistical release, please see the announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) provided by the source.\n\nM2 less small-denomination time deposits plus institutional money market funds.\nMoney Zero Maturity is calculated by the Federal Reserve Bank of St. Louis."},{"id":"MZMSL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"MZM Money Stock (DISCONTINUED)","observation_start":"1959-01-01","observation_end":"2021-01-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-03-24 12:34:41-05","popularity":7,"group_popularity":43,"notes":"This series has been discontinued and will no longer be updated. The institutional money market funds component (IMFSL (https:\/\/fred.stlouisfed.org\/series\/IMFSL)) used to calculate this series has been discontinued by the Board of Governors and is no longer available in the H.6 statistical release, Money Stock Measures.\n\nFor further information about the changes to the H.6 statistical release, please see the announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) provided by the source.\n\nM2 less small-denomination time deposits plus institutional money market funds.\nMoney Zero Maturity is calculated by the Federal Reserve Bank of St. Louis."},{"id":"WMZMNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"MZM Money Stock (DISCONTINUED)","observation_start":"1981-01-05","observation_end":"2021-02-01","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 12:34:40-05","popularity":2,"group_popularity":43,"notes":"This series has been discontinued and will no longer be updated. The institutional money market funds component (WIMFNS (https:\/\/fred.stlouisfed.org\/series\/WIMFNS)) used to calculate this series has been discontinued by the Board of Governors and is no longer available in the H.6 statistical release, Money Stock Measures.\n\nFor further information about the changes to the H.6 statistical release, please see the announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) provided by the source.\n\nM2 less small-denomination time deposits plus institutional money market funds.\nMoney Zero Maturity is calculated by the Federal Reserve Bank of St. Louis."},{"id":"M3","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M3 Money Stock (DISCONTINUED)","observation_start":"1981-01-05","observation_end":"2006-03-13","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2006-09-18 20:15:11-05","popularity":35,"group_popularity":37,"notes":"For details, please see http:\/\/www.federalreserve.gov\/releases\/h6\/hist\/\nOn March 23, 2006, the Board of Governors of the Federal Reserve System ceased publication of the M3 monetary aggregate and its components. For more information, please, refer to http:\/\/www.federalreserve.gov\/releases\/h6\/discm3.htm."},{"id":"M2MSL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 Less Small Time Deposits","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-23 12:34:17-05","popularity":27,"group_popularity":38,"notes":"M2 less small time deposits. Calculated by the Federal Reserve Bank of St. Louis."},{"id":"M2MNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M2 Less Small Time Deposits","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:34:16-05","popularity":26,"group_popularity":38,"notes":"M2 less small time deposits. Calculated by the Federal Reserve Bank of St. Louis."},{"id":"WM3NS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M3 Money Stock (DISCONTINUED)","observation_start":"1981-01-05","observation_end":"2006-03-13","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2006-09-18 20:15:51-05","popularity":6,"group_popularity":37,"notes":"For details, please see http:\/\/www.federalreserve.gov\/releases\/h6\/hist\/\nOn March 23, 2006, the Board of Governors of the Federal Reserve System ceased publication of the M3 monetary aggregate and its components. For more information, please, refer to http:\/\/www.federalreserve.gov\/releases\/h6\/discm3.htm."},{"id":"EPUMONETARY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Economic Policy Uncertainty Index: Categorical Index: Monetary policy","observation_start":"1985-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 08:02:27-05","popularity":34,"group_popularity":34,"notes":"The EPU Categorical Data include a range of sub-indexes based solely on news data. These are derived using results from the Access World News database of over 2,000 US newspapers.\n\nFor further explanation, please see the source page on Categorical EPU data (https:\/\/www.policyuncertainty.com\/categorical_epu.html)."},{"id":"M1490AUSM157SNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Money Supply for United States","observation_start":"1914-07-01","observation_end":"1946-12-01","frequency":"Monthly","frequency_short":"M","units":"Percent Change","units_short":"% Chg.","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2012-08-20 08:32:22-05","popularity":31,"group_popularity":33,"notes":"Series Is Presented Here As Two Variables--(1)--Seasonally Adjusted Data, 1914-1946 (2)--Seasonally Adjusted Data, 1947-1968. Data Were Derived From Series 14147 (Demand Deposits Adjusted Plus Currency Held By Public). Data Are For The Last Wednesday Of The Month, Except For January 1918-April 1921, Which Are For The Last Friday Of The Month. Data Are For Demand Deposits Plus Currency. Data Are For Percent Change Per Month. This Was Derived From Differences Between Logarithims Converted To Natural Logs. Source: Data For 1914-1942: Direct From NBER. Data For 1943-1945: NBER And The Federal Reserve Board. Data For 1946: Federal Reserve Board.\n\nThis NBER data series m14190a appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14190a"},{"id":"M1490BUSM157SNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Money Supply for United States","observation_start":"1947-01-01","observation_end":"1968-12-01","frequency":"Monthly","frequency_short":"M","units":"Percent Change","units_short":"% Chg.","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2012-08-20 08:32:13-05","popularity":8,"group_popularity":33,"notes":"Series Is Presented Here As Two Variables--(1)--Seasonally Adjusted Data, 1914-1946 (2)--Seasonally Adjusted Data, 1947-1968. Data Are Averages Of Daily Figures At Annual Rates. Data Are For Demand Deposits Plus Currency. Data For 1948-1968 Comprise Two Types Of Percent Changes Regarding Continuity, Both Of Which Are Considered Comparable. Source: U.S Census Bureau, Busness Cycle Developments, November 1966 And Following Issues.\n\nThis NBER data series m14190b appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14190b"},{"id":"MULT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M1 Money Multiplier (DISCONTINUED)","observation_start":"1984-02-15","observation_end":"2019-12-04","frequency":"Biweekly, Ending Wednesday","frequency_short":"BW","units":"Ratio","units_short":"Ratio","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2019-12-12 16:05:06-06","popularity":28,"group_popularity":28,"notes":"Updates of this series will be ceased on December 19, 2019. There is no direct replacement to this seasonally adjusted series. Interested users can construct a proxy of the series as the ratio of M1 from the H.6 release and the monetary base from the H.3 release. The discontinued series plotted on the same graph with the calculated data can be accessed for comparison here (https:\/\/fred.stlouisfed.org\/graph\/?g=wroO).\r\nFor more details, see the FRED Announcement (https:\/\/news.research.stlouisfed.org\/2019\/12\/discontinuance-of-st-louis-monetary-base-and-reserves-data\/)."},{"id":"MZMV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Velocity of MZM Money Stock (DISCONTINUED)","observation_start":"1959-01-01","observation_end":"2020-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Ratio","units_short":"Ratio","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-04-09 07:59:31-05","popularity":28,"group_popularity":28,"notes":"This series has been discontinued and will no longer be updated. The institutional money market funds component (IMFSL (https:\/\/fred.stlouisfed.org\/series\/IMFSL)) used to calculate MZM has been discontinued by the Board of Governors and is no longer available in the H.6 statistical release, Money Stock Measures. For further information about the changes to the H.6 statistical release, please see the announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) provided by the source.\r\n\r\nCalculated as the ratio of quarterly nominal GDP (GDP (https:\/\/fred.stlouisfed.org\/series\/GDP)) to the quarterly average of MZM money stock (MZMSL (https:\/\/fred.stlouisfed.org\/series\/MZMSL)).\r\n\r\nThe velocity of money is the frequency at which one unit of currency is used to purchase domestically- produced goods and services within a given time period. In other words, it is the number of times one dollar is spent to buy goods and services per unit of time. If the velocity of money is increasing, then more transactions are occurring between individuals in an economy.\r\nThe frequency of currency exchange can be used to determine the velocity of a given component of the money supply, providing some insight into whether consumers and businesses are saving or spending their money. There are several components of the money supply,: M1, M2, and MZM (M3 is no longer tracked by the Federal Reserve); these components are arranged on a spectrum of narrowest to broadest. Consider M1, the narrowest component. M1 is the money supply of currency in circulation (notes and coins, traveler\u2019s checks [non-bank issuers], demand deposits, and checkable deposits). A decreasing velocity of M1 might indicate fewer short- term consumption transactions are taking place. We can think of shorter- term transactions as consumption we might make on an everyday basis.\r\n\r\nThe broader M2 component includes M1 in addition to saving deposits, certificates of deposit (less than $100,000), and money market deposits for individuals. Comparing the velocities of M1 and M2 provides some insight into how quickly the economy is spending and how quickly it is saving.\r\n\r\nMZM (money with zero maturity) is the broadest component and consists of the supply of financial assets redeemable at par on demand: notes and coins in circulation, traveler\u2019s checks (non-bank issuers), demand deposits, other checkable deposits, savings deposits, and all money market funds. The velocity of MZM helps determine how often financial assets are switching hands within the economy."},{"id":"DISMULT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M1 Money Multiplier (DISCONTINUED)","observation_start":"1984-03-26","observation_end":"2003-06-23","frequency":"Biweekly, Ending Monday","frequency_short":"BW","units":"Ratio","units_short":"Ratio","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2003-07-14 17:34:40-05","popularity":1,"group_popularity":28,"notes":"This series was discontinued on July 14, 2003. For information on the construction of this series, please refer to http:\/\/research.stlouisfed.org\/aggreg\/newbase.html. For information on the reconstructed series (MULT), available starting on July 14, 2003, please refer to http:\/\/research.stlouisfed.org\/aggreg\/RAMReconstruction.pdf."},{"id":"FEDFUNDS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Funds Effective Rate","observation_start":"1954-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-01 15:16:34-05","popularity":98,"group_popularity":99,"notes":" Daily Federal Funds Rate from 1928-1954 (https:\/\/fred.stlouisfed.org\/categories\/33951).\n\nThe federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. When a depository institution has surplus balances in its reserve account, it lends to other banks in need of larger balances. In simpler terms, a bank with excess cash, which is often referred to as liquidity, will lend to another bank that needs to quickly raise liquidity. (1) The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate.(2) The effective federal funds rate is essentially determined by the market but is influenced by the Federal Reserve as it uses the Interest on Reserve Balances rate to steer the federal funds rate toward the target range.(2)\n\nThe Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target range. The Fed's primary tool for influencing the federal funds rate is the interest the Fed pays on the funds that banks hold as reserve balances at their Federal Reserve Bank, which is the Interest on Reserves Balances (IORB) rate. Because banks are unlikely to lend funds in the federal funds market for less than they get paid in their reserve balance account at the Federal Reserve, the Interest on Reserve Balances (IORB) is an effective tool for guiding the federal funds rate. (3) Whether the Federal Reserve raises or lowers the target range for the federal funds rate depends on the state of the economy. If the FOMC believes the economy is growing too fast and inflation pressures are inconsistent with the dual mandate of the Federal Reserve, the Committee may temper economic activity by raising the target range for federal funds rate, and increasing the IORB rate to steer the federal funds rate into the target range. In the opposing scenario, the FOMC may spur greater economic activity by lowering the target range for federal funds rate, and decreasing the IORB rate to steer the federal funds rate into the target range. (3) Therefore, the FOMC must observe the current state of the economy to determine the best course of monetary policy that will maximize economic growth while adhering to the dual mandate set forth by Congress. In making its monetary policy decisions, the FOMC considers a wealth of economic data, such as: trends in prices and wages, employment, consumer spending and income, business investments, and foreign exchange markets.\n\nThe federal funds rate is the central interest rate in the U.S. financial market. It influences other interest rates such as the prime rate, which is the rate banks charge their customers with higher credit ratings. Additionally, the federal funds rate indirectly influences longer- term interest rates such as mortgages, loans, and savings, all of which are very important to consumer wealth and confidence.(2)\n\nReferences\n(1) Federal Reserve Bank of New York. \"Federal funds.\" Fedpoints, August 2007.\n(2) Monetary Policy (https:\/\/www.federalreserve.gov\/monetarypolicy.htm), Board of Governors of the Federal Reserve System.\n(3) The Fed Explained (https:\/\/www.federalreserve.gov\/aboutthefed\/files\/the-fed-explained.pdf), Board of Governors of the Federal Reserve System\n\nFor further information, see The Fed's New Monetary Policy Tools (https:\/\/www.stlouisfed.org\/publications\/page-one-economics\/2020\/08\/03\/the-feds-new-monetary-policy-tools), Page One Economics, Federal Reserve Bank of St. Louis. \n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"DFF","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Funds Effective Rate","observation_start":"1954-07-01","observation_end":"2026-07-01","frequency":"Daily, 7-Day","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 15:16:18-05","popularity":87,"group_popularity":99,"notes":" Daily Federal Funds Rate from 1928-1954 (https:\/\/fred.stlouisfed.org\/categories\/33951).\n\nThe federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. When a depository institution has surplus balances in its reserve account, it lends to other banks in need of larger balances. In simpler terms, a bank with excess cash, which is often referred to as liquidity, will lend to another bank that needs to quickly raise liquidity. (1) The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate.(2) The effective federal funds rate is essentially determined by the market but is influenced by the Federal Reserve as it uses the Interest on Reserve Balances rate to steer the federal funds rate toward the target range.(2)\n\nThe Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target range. The Fed's primary tool for influencing the federal funds rate is the interest the Fed pays on the funds that banks hold as reserve balances at their Federal Reserve Bank, which is the Interest on Reserves Balances (IORB) rate. Because banks are unlikely to lend funds in the federal funds market for less than they get paid in their reserve balance account at the Federal Reserve, the Interest on Reserve Balances (IORB) is an effective tool for guiding the federal funds rate. (3) Whether the Federal Reserve raises or lowers the target range for the federal funds rate depends on the state of the economy. If the FOMC believes the economy is growing too fast and inflation pressures are inconsistent with the dual mandate of the Federal Reserve, the Committee may temper economic activity by raising the target range for federal funds rate, and increasing the IORB rate to steer the federal funds rate into the target range. In the opposing scenario, the FOMC may spur greater economic activity by lowering the target range for federal funds rate, and decreasing the IORB rate to steer the federal funds rate into the target range. (3) Therefore, the FOMC must observe the current state of the economy to determine the best course of monetary policy that will maximize economic growth while adhering to the dual mandate set forth by Congress. In making its monetary policy decisions, the FOMC considers a wealth of economic data, such as: trends in prices and wages, employment, consumer spending and income, business investments, and foreign exchange markets.\n\nThe federal funds rate is the central interest rate in the U.S. financial market. It influences other interest rates such as the prime rate, which is the rate banks charge their customers with higher credit ratings. Additionally, the federal funds rate indirectly influences longer- term interest rates such as mortgages, loans, and savings, all of which are very important to consumer wealth and confidence.(2)\n\nReferences\n(1) Federal Reserve Bank of New York. \"Federal funds.\" Fedpoints, August 2007.\n(2) Monetary Policy (https:\/\/www.federalreserve.gov\/monetarypolicy.htm), Board of Governors of the Federal Reserve System.\n(3) The Fed Explained (https:\/\/www.federalreserve.gov\/aboutthefed\/files\/the-fed-explained.pdf), Board of Governors of the Federal Reserve System\n\nFor further information, see The Fed's New Monetary Policy Tools (https:\/\/www.stlouisfed.org\/publications\/page-one-economics\/2020\/08\/03\/the-feds-new-monetary-policy-tools), Page One Economics, Federal Reserve Bank of St. Louis. \n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"FF","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Funds Effective Rate","observation_start":"1954-07-07","observation_end":"2026-07-01","frequency":"Weekly, Ending Wednesday","frequency_short":"W","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 15:16:21-05","popularity":63,"group_popularity":99,"notes":" Daily Federal Funds Rate from 1928-1954 (https:\/\/fred.stlouisfed.org\/categories\/33951).\n\nThe federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. When a depository institution has surplus balances in its reserve account, it lends to other banks in need of larger balances. In simpler terms, a bank with excess cash, which is often referred to as liquidity, will lend to another bank that needs to quickly raise liquidity. (1) The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate.(2) The effective federal funds rate is essentially determined by the market but is influenced by the Federal Reserve as it uses the Interest on Reserve Balances rate to steer the federal funds rate toward the target range.(2)\n\nThe Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target range. The Fed's primary tool for influencing the federal funds rate is the interest the Fed pays on the funds that banks hold as reserve balances at their Federal Reserve Bank, which is the Interest on Reserves Balances (IORB) rate. Because banks are unlikely to lend funds in the federal funds market for less than they get paid in their reserve balance account at the Federal Reserve, the Interest on Reserve Balances (IORB) is an effective tool for guiding the federal funds rate. (3) Whether the Federal Reserve raises or lowers the target range for the federal funds rate depends on the state of the economy. If the FOMC believes the economy is growing too fast and inflation pressures are inconsistent with the dual mandate of the Federal Reserve, the Committee may temper economic activity by raising the target range for federal funds rate, and increasing the IORB rate to steer the federal funds rate into the target range. In the opposing scenario, the FOMC may spur greater economic activity by lowering the target range for federal funds rate, and decreasing the IORB rate to steer the federal funds rate into the target range. (3) Therefore, the FOMC must observe the current state of the economy to determine the best course of monetary policy that will maximize economic growth while adhering to the dual mandate set forth by Congress. In making its monetary policy decisions, the FOMC considers a wealth of economic data, such as: trends in prices and wages, employment, consumer spending and income, business investments, and foreign exchange markets.\n\nThe federal funds rate is the central interest rate in the U.S. financial market. It influences other interest rates such as the prime rate, which is the rate banks charge their customers with higher credit ratings. Additionally, the federal funds rate indirectly influences longer- term interest rates such as mortgages, loans, and savings, all of which are very important to consumer wealth and confidence.(2)\n\nReferences\n(1) Federal Reserve Bank of New York. \"Federal funds.\" Fedpoints, August 2007.\n(2) Monetary Policy (https:\/\/www.federalreserve.gov\/monetarypolicy.htm), Board of Governors of the Federal Reserve System.\n(3) The Fed Explained (https:\/\/www.federalreserve.gov\/aboutthefed\/files\/the-fed-explained.pdf), Board of Governors of the Federal Reserve System\n\nFor further information, see The Fed's New Monetary Policy Tools (https:\/\/www.stlouisfed.org\/publications\/page-one-economics\/2020\/08\/03\/the-feds-new-monetary-policy-tools), Page One Economics, Federal Reserve Bank of St. Louis. \n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"RIFSPFFNB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Funds Effective Rate","observation_start":"1954-07-01","observation_end":"2026-07-01","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 15:16:19-05","popularity":48,"group_popularity":99,"notes":" Daily Federal Funds Rate from 1928-1954 (https:\/\/fred.stlouisfed.org\/categories\/33951).\n\nThe federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. When a depository institution has surplus balances in its reserve account, it lends to other banks in need of larger balances. In simpler terms, a bank with excess cash, which is often referred to as liquidity, will lend to another bank that needs to quickly raise liquidity. (1) The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate.(2) The effective federal funds rate is essentially determined by the market but is influenced by the Federal Reserve as it uses the Interest on Reserve Balances rate to steer the federal funds rate toward the target range.(2)\n\nThe Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target range. The Fed's primary tool for influencing the federal funds rate is the interest the Fed pays on the funds that banks hold as reserve balances at their Federal Reserve Bank, which is the Interest on Reserves Balances (IORB) rate. Because banks are unlikely to lend funds in the federal funds market for less than they get paid in their reserve balance account at the Federal Reserve, the Interest on Reserve Balances (IORB) is an effective tool for guiding the federal funds rate. (3) Whether the Federal Reserve raises or lowers the target range for the federal funds rate depends on the state of the economy. If the FOMC believes the economy is growing too fast and inflation pressures are inconsistent with the dual mandate of the Federal Reserve, the Committee may temper economic activity by raising the target range for federal funds rate, and increasing the IORB rate to steer the federal funds rate into the target range. In the opposing scenario, the FOMC may spur greater economic activity by lowering the target range for federal funds rate, and decreasing the IORB rate to steer the federal funds rate into the target range. (3) Therefore, the FOMC must observe the current state of the economy to determine the best course of monetary policy that will maximize economic growth while adhering to the dual mandate set forth by Congress. In making its monetary policy decisions, the FOMC considers a wealth of economic data, such as: trends in prices and wages, employment, consumer spending and income, business investments, and foreign exchange markets.\n\nThe federal funds rate is the central interest rate in the U.S. financial market. It influences other interest rates such as the prime rate, which is the rate banks charge their customers with higher credit ratings. Additionally, the federal funds rate indirectly influences longer- term interest rates such as mortgages, loans, and savings, all of which are very important to consumer wealth and confidence.(2)\n\nReferences\n(1) Federal Reserve Bank of New York. \"Federal funds.\" Fedpoints, August 2007.\n(2) Monetary Policy (https:\/\/www.federalreserve.gov\/monetarypolicy.htm), Board of Governors of the Federal Reserve System.\n(3) The Fed Explained (https:\/\/www.federalreserve.gov\/aboutthefed\/files\/the-fed-explained.pdf), Board of Governors of the Federal Reserve System\n\nFor further information, see The Fed's New Monetary Policy Tools (https:\/\/www.stlouisfed.org\/publications\/page-one-economics\/2020\/08\/03\/the-feds-new-monetary-policy-tools), Page One Economics, Federal Reserve Bank of St. Louis. \n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"RIFSPFFNA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Funds Effective Rate","observation_start":"1955-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-02 15:15:52-06","popularity":44,"group_popularity":99,"notes":" Daily Federal Funds Rate from 1928-1954 (https:\/\/fred.stlouisfed.org\/categories\/33951).\n\nThe federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. When a depository institution has surplus balances in its reserve account, it lends to other banks in need of larger balances. In simpler terms, a bank with excess cash, which is often referred to as liquidity, will lend to another bank that needs to quickly raise liquidity. (1) The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate.(2) The effective federal funds rate is essentially determined by the market but is influenced by the Federal Reserve as it uses the Interest on Reserve Balances rate to steer the federal funds rate toward the target range.(2)\n\nThe Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target range. The Fed's primary tool for influencing the federal funds rate is the interest the Fed pays on the funds that banks hold as reserve balances at their Federal Reserve Bank, which is the Interest on Reserves Balances (IORB) rate. Because banks are unlikely to lend funds in the federal funds market for less than they get paid in their reserve balance account at the Federal Reserve, the Interest on Reserve Balances (IORB) is an effective tool for guiding the federal funds rate. (3) Whether the Federal Reserve raises or lowers the target range for the federal funds rate depends on the state of the economy. If the FOMC believes the economy is growing too fast and inflation pressures are inconsistent with the dual mandate of the Federal Reserve, the Committee may temper economic activity by raising the target range for federal funds rate, and increasing the IORB rate to steer the federal funds rate into the target range. In the opposing scenario, the FOMC may spur greater economic activity by lowering the target range for federal funds rate, and decreasing the IORB rate to steer the federal funds rate into the target range. (3) Therefore, the FOMC must observe the current state of the economy to determine the best course of monetary policy that will maximize economic growth while adhering to the dual mandate set forth by Congress. In making its monetary policy decisions, the FOMC considers a wealth of economic data, such as: trends in prices and wages, employment, consumer spending and income, business investments, and foreign exchange markets.\n\nThe federal funds rate is the central interest rate in the U.S. financial market. It influences other interest rates such as the prime rate, which is the rate banks charge their customers with higher credit ratings. Additionally, the federal funds rate indirectly influences longer- term interest rates such as mortgages, loans, and savings, all of which are very important to consumer wealth and confidence.(2)\n\nReferences\n(1) Federal Reserve Bank of New York. \"Federal funds.\" Fedpoints, August 2007.\n(2) Monetary Policy (https:\/\/www.federalreserve.gov\/monetarypolicy.htm), Board of Governors of the Federal Reserve System.\n(3) The Fed Explained (https:\/\/www.federalreserve.gov\/aboutthefed\/files\/the-fed-explained.pdf), Board of Governors of the Federal Reserve System\n\nFor further information, see The Fed's New Monetary Policy Tools (https:\/\/www.stlouisfed.org\/publications\/page-one-economics\/2020\/08\/03\/the-feds-new-monetary-policy-tools), Page One Economics, Federal Reserve Bank of St. Louis. \n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"RIFSPFFNBWAW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Funds Effective Rate","observation_start":"1954-07-14","observation_end":"2026-06-24","frequency":"Biweekly, Ending Wednesday","frequency_short":"BW","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-25 15:16:12-05","popularity":17,"group_popularity":99,"notes":" Daily Federal Funds Rate from 1928-1954 (https:\/\/fred.stlouisfed.org\/categories\/33951).\n\nThe federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. When a depository institution has surplus balances in its reserve account, it lends to other banks in need of larger balances. In simpler terms, a bank with excess cash, which is often referred to as liquidity, will lend to another bank that needs to quickly raise liquidity. (1) The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate.(2) The effective federal funds rate is essentially determined by the market but is influenced by the Federal Reserve as it uses the Interest on Reserve Balances rate to steer the federal funds rate toward the target range.(2)\n\nThe Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target range. The Fed's primary tool for influencing the federal funds rate is the interest the Fed pays on the funds that banks hold as reserve balances at their Federal Reserve Bank, which is the Interest on Reserves Balances (IORB) rate. Because banks are unlikely to lend funds in the federal funds market for less than they get paid in their reserve balance account at the Federal Reserve, the Interest on Reserve Balances (IORB) is an effective tool for guiding the federal funds rate. (3) Whether the Federal Reserve raises or lowers the target range for the federal funds rate depends on the state of the economy. If the FOMC believes the economy is growing too fast and inflation pressures are inconsistent with the dual mandate of the Federal Reserve, the Committee may temper economic activity by raising the target range for federal funds rate, and increasing the IORB rate to steer the federal funds rate into the target range. In the opposing scenario, the FOMC may spur greater economic activity by lowering the target range for federal funds rate, and decreasing the IORB rate to steer the federal funds rate into the target range. (3) Therefore, the FOMC must observe the current state of the economy to determine the best course of monetary policy that will maximize economic growth while adhering to the dual mandate set forth by Congress. In making its monetary policy decisions, the FOMC considers a wealth of economic data, such as: trends in prices and wages, employment, consumer spending and income, business investments, and foreign exchange markets.\n\nThe federal funds rate is the central interest rate in the U.S. financial market. It influences other interest rates such as the prime rate, which is the rate banks charge their customers with higher credit ratings. Additionally, the federal funds rate indirectly influences longer- term interest rates such as mortgages, loans, and savings, all of which are very important to consumer wealth and confidence.(2)\n\nReferences\n(1) Federal Reserve Bank of New York. \"Federal funds.\" Fedpoints, August 2007.\n(2) Monetary Policy (https:\/\/www.federalreserve.gov\/monetarypolicy.htm), Board of Governors of the Federal Reserve System.\n(3) The Fed Explained (https:\/\/www.federalreserve.gov\/aboutthefed\/files\/the-fed-explained.pdf), Board of Governors of the Federal Reserve System\n\nFor further information, see The Fed's New Monetary Policy Tools (https:\/\/www.stlouisfed.org\/publications\/page-one-economics\/2020\/08\/03\/the-feds-new-monetary-policy-tools), Page One Economics, Federal Reserve Bank of St. Louis. \n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"POILBREUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Brent Crude","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Barrel","units_short":"U.S. $ per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:04-05","popularity":74,"group_popularity":76,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"POILBREUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Brent Crude","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Barrel","units_short":"U.S. $ per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:02-05","popularity":47,"group_popularity":76,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"POILBREUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Brent Crude","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Barrel","units_short":"U.S. $ per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:59-05","popularity":46,"group_popularity":76,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"DEXUSEU","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"U.S. Dollars to Euro Spot Exchange Rate","observation_start":"1999-01-04","observation_end":"2026-06-26","frequency":"Daily","frequency_short":"D","units":"U.S. Dollars to One Euro","units_short":"U.S. $ to 1 Euro","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 15:16:28-05","popularity":76,"group_popularity":79,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h10\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"EXUSEU","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"U.S. Dollars to Euro Spot Exchange Rate","observation_start":"1999-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars to One Euro","units_short":"U.S. $ to 1 Euro","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-01 15:16:31-05","popularity":61,"group_popularity":79,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g5\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"PCOPPUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Copper","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:56-05","popularity":71,"group_popularity":73,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOCOUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Cocoa","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:13-05","popularity":72,"group_popularity":72,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOPPUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Copper","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:06-05","popularity":44,"group_popularity":73,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOPPUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Copper","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:17-05","popularity":33,"group_popularity":73,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPSAXDCUSQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for United States","observation_start":"1950-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-29 07:27:41-05","popularity":69,"group_popularity":70},{"id":"PCOCOUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Cocoa","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:21-05","popularity":21,"group_popularity":72,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOCOUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Cocoa","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:09-05","popularity":12,"group_popularity":72,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PALUMUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Aluminum","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:08-05","popularity":66,"group_popularity":68,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPNSAXDCUSQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for United States","observation_start":"1950-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 07:27:48-05","popularity":36,"group_popularity":70},{"id":"FPCPITOTLZGUSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the United States","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:02-05","popularity":84,"group_popularity":84,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"NGDPXDCUSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for United States","observation_start":"1950-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-20 07:53:29-05","popularity":32,"group_popularity":70},{"id":"PALUMUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Aluminum","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:19-05","popularity":25,"group_popularity":68,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PALUMUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Aluminum","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:28-05","popularity":24,"group_popularity":68,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"HDTGPDUSQ163N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Household Debt to GDP for United States","observation_start":"2005-01-01","observation_end":"2025-04-01","frequency":"Quarterly","frequency_short":"Q","units":"Ratio","units_short":"Ratio","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-02 07:02:45-06","popularity":64,"group_popularity":64,"notes":"The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available from the IMF (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"PNGASJPUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of LNG, Asia","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Million Metric British Thermal Unit","units_short":"U.S. $ per Mil. Metric British Thermal Unit","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:29-05","popularity":64,"group_popularity":64,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"IORB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rate on Reserve Balances (IORB Rate)","observation_start":"2021-07-29","observation_end":"2026-07-06","frequency":"Daily, 7-Day","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 15:56:58-05","popularity":80,"group_popularity":80,"notes":"IOER (https:\/\/fred.stlouisfed.org\/series\/IOER)) and the interest rate on required reserves (IORR (https:\/\/fred.stlouisfed.org\/series\/IORR)) were replaced with a single rate, the interest rate on reserve balances (IORB (https:\/\/fred.stlouisfed.org\/series\/IORB)). See the source's announcement (https:\/\/www.federalreserve.gov\/newsevents\/pressreleases\/bcreg20210602a.htm) for more details.\n\nThe interest rate on reserve balances (IORB rate) is the rate of interest that the Federal Reserve pays on balances maintained by or on behalf of eligible institutions in master accounts at Federal Reserve Banks. The interest rate is set by the Board of Governors, and it is an important tool of monetary policy.\n\nSee Policy Tools (https:\/\/www.federalreserve.gov\/monetarypolicy\/reqresbalances.htm) and the IORB FAQs (https:\/\/www.federalreserve.gov\/monetarypolicy\/iorb-faqs.htm) for more information.\n\nFor questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"PALLFNFINDEXQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global Price Index of All Commodities","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:30-05","popularity":56,"group_popularity":63,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PALLFNFINDEXM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global Price Index of All Commodities","observation_start":"1992-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:12-05","popularity":51,"group_popularity":63,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCJPQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Japan","observation_start":"1994-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 07:37:11-05","popularity":17,"group_popularity":65},{"id":"NGDPRXDCJPA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Japan","observation_start":"1994-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:56-05","popularity":14,"group_popularity":65},{"id":"PIORECRUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Iron Ore","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:29-05","popularity":61,"group_popularity":62,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNGASEUUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Natural gas, EU","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Million Metric British Thermal Unit","units_short":"U.S. $ per Mil. Metric British Thermal Unit","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:26-05","popularity":60,"group_popularity":62,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRNSAXDCJPQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Japan","observation_start":"1994-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:43-05","popularity":11,"group_popularity":65},{"id":"PNGASJPUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of LNG, Asia","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Million Metric British Thermal Unit","units_short":"U.S. $ per Mil. Metric British Thermal Unit","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:51-05","popularity":16,"group_popularity":64,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"COMREPUSQ159N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Commercial Real Estate Prices for United States","observation_start":"2005-01-01","observation_end":"2025-04-01","frequency":"Quarterly","frequency_short":"Q","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-08 16:22:52-06","popularity":60,"group_popularity":60,"notes":"This series covers commercial real estate price indices. Currently, there is limited international experience in constructing representative real estate price indices as real estate markets are heterogeneous, both within and across countries, and illiquid. A rapid increase in real estate prices, followed by a sharp economic downturn, can have a detrimental effect on financial sector soundness by affecting credit quality and the value of collateral.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNGASJPUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of LNG, Asia","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Million Metric British Thermal Unit","units_short":"U.S. $ per Mil. Metric British Thermal Unit","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:56-05","popularity":5,"group_popularity":64,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PALLFNFINDEXA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global Price Index of All Commodities","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:35-05","popularity":23,"group_popularity":63,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNRGINDEXM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Energy index","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:20-05","popularity":60,"group_popularity":61,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCCAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Canada","observation_start":"1961-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-08 07:39:07-05","popularity":60,"group_popularity":61},{"id":"PIORECRUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Iron Ore","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:09-05","popularity":25,"group_popularity":62,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNGASEUUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Natural gas, EU","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Million Metric British Thermal Unit","units_short":"U.S. $ per Mil. Metric British Thermal Unit","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:55-05","popularity":24,"group_popularity":62,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PWHEAMTUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Wheat","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:55-05","popularity":59,"group_popularity":60,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"POLVOILUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Olive Oil","observation_start":"1992-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:51-05","popularity":59,"group_popularity":60,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PIORECRUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Iron Ore","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:08-05","popularity":11,"group_popularity":62,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNGASEUUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Natural gas, EU","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Million Metric British Thermal Unit","units_short":"U.S. $ per Mil. Metric British Thermal Unit","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:52-05","popularity":10,"group_popularity":62,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PURANUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Uranium","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Pound","units_short":"U.S. $ per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:45-05","popularity":58,"group_popularity":59,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"POILWTIUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of WTI Crude","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Barrel","units_short":"U.S. $ per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:59-05","popularity":56,"group_popularity":59,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"INTDSRUSM193N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rates, Discount Rate for United States","observation_start":"1950-01-01","observation_end":"2021-08-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2021-10-04 07:09:01-05","popularity":57,"group_popularity":57,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available from the IMF (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"NGDPRSAXDCDEQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Germany","observation_start":"1991-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-22 07:28:53-05","popularity":24,"group_popularity":61},{"id":"NGDPRXDCCAA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Canada","observation_start":"1961-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:40:05-05","popularity":24,"group_popularity":61},{"id":"NGDPRXDCDEA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Germany","observation_start":"1991-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:58-05","popularity":22,"group_popularity":61},{"id":"PNRGINDEXQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Energy index","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:50-05","popularity":13,"group_popularity":61,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNRGINDEXA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Energy index","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:04-05","popularity":5,"group_popularity":61,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"POLVOILUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Olive Oil","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:40-05","popularity":20,"group_popularity":60,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOFFOTMUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Coffee, Other Mild Arabica","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:10-05","popularity":58,"group_popularity":58,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRNSAXDCDEQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Germany","observation_start":"1991-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:53-05","popularity":9,"group_popularity":61},{"id":"PWHEAMTUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Wheat","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:32-05","popularity":18,"group_popularity":60,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"POILWTIUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of WTI Crude","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Barrel","units_short":"U.S. $ per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:47-05","popularity":37,"group_popularity":59,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PRUBBUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Rubber","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:35-05","popularity":56,"group_popularity":58,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PPOILUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Palm Oil","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:07-05","popularity":55,"group_popularity":58,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PWHEAMTUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Wheat","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:35-05","popularity":10,"group_popularity":60,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"POLVOILUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Olive Oil","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:58-05","popularity":7,"group_popularity":60,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PURANUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Uranium","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Pound","units_short":"U.S. $ per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:34-05","popularity":17,"group_popularity":59,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PMAIZMTUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Corn","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:23-05","popularity":55,"group_popularity":57,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"POILWTIUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of WTI Crude","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Barrel","units_short":"U.S. $ per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:51-05","popularity":11,"group_popularity":59,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PURANUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Uranium","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Pound","units_short":"U.S. $ per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:33-05","popularity":5,"group_popularity":59,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PPOILUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Palm Oil","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:42-05","popularity":22,"group_popularity":58,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PRUBBUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Rubber","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:42-05","popularity":19,"group_popularity":58,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PRUBBUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Rubber","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:45-05","popularity":19,"group_popularity":58,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"POILDUBUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Dubai Crude","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Barrel","units_short":"U.S. $ per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:32-05","popularity":55,"group_popularity":56,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNICKUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Nickel","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:20-05","popularity":55,"group_popularity":56,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PPOILUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Palm Oil","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:01-05","popularity":15,"group_popularity":58,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOFFOTMUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Coffee, Other Mild Arabica","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:18-05","popularity":11,"group_popularity":58,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOFFOTMUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Coffee, Other Mild Arabica","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:12-05","popularity":7,"group_popularity":58,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PMAIZMTUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Corn","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:12-05","popularity":22,"group_popularity":57,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PMAIZMTUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Corn","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:21-05","popularity":19,"group_popularity":57,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PFISHUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Fish Meal","observation_start":"1992-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:39-05","popularity":54,"group_popularity":55,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCGBQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Great Britain","observation_start":"1955-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-05-25 07:41:12-05","popularity":54,"group_popularity":55},{"id":"POILDUBUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Dubai Crude","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Barrel","units_short":"U.S. $ per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:03-05","popularity":19,"group_popularity":56,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSUGAISAUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Sugar, No. 11, World","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:01-05","popularity":53,"group_popularity":54,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"FEDTARMD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Fed Funds Rate, Median","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:27-05","popularity":70,"group_popularity":70,"notes":"The projections for the federal funds rate are the value of the midpoint of the projected appropriate target range for the federal funds rate or the projected appropriate target level for the federal funds rate at the end of the specified calendar year or over the longer run. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the median value of the range forecast established by the Federal Open Market Committee. For each period, the median is the middle projection when the projections are arranged from lowest to highest. When the number of projections is even, the median is the average of the two middle projections.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"POILDUBUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Dubai Crude","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Barrel","units_short":"U.S. $ per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:01-05","popularity":10,"group_popularity":56,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNICKUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Nickel","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:03-05","popularity":7,"group_popularity":56,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNICKUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Nickel","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:03-05","popularity":7,"group_popularity":56,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PFISHUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Fish Meal","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:29-05","popularity":17,"group_popularity":55,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOALAUUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Coal, Australia","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:42-05","popularity":52,"group_popularity":53,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSOYBUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Soybeans","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:32-05","popularity":46,"group_popularity":53,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PFISHUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Fish Meal","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:17-05","popularity":6,"group_popularity":55,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRNSAXDCGBQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Great Britain","observation_start":"1995-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-25 07:41:02-05","popularity":12,"group_popularity":55},{"id":"NGDPRXDCGBA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Great Britain","observation_start":"1995-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-25 07:40:58-05","popularity":12,"group_popularity":55},{"id":"PSOYBUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Soybeans","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:32-05","popularity":36,"group_popularity":53,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PMETAINDEXM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Metal index","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:23-05","popularity":50,"group_popularity":52,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSUGAISAUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Sugar, No. 11, World","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:49-05","popularity":9,"group_popularity":54,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSUGAISAUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Sugar, No. 11, World","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:49-05","popularity":7,"group_popularity":54,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCAUQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Australia","observation_start":"1959-07-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-08 07:40:12-05","popularity":51,"group_popularity":52},{"id":"PSOYBUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Soybeans","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:43-05","popularity":18,"group_popularity":53,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOTTINDUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Cotton","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:32-05","popularity":48,"group_popularity":51,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOALAUUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Coal, Australia","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:17-05","popularity":8,"group_popularity":53,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"TRESEGCNM052N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Reserves excluding Gold for China","observation_start":"1977-12-01","observation_end":"2026-04-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-18 09:09:39-05","popularity":49,"group_popularity":49,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOALAUUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Coal, Australia","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:16-05","popularity":6,"group_popularity":53,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCKRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Republic of Korea","observation_start":"1960-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 07:37:11-05","popularity":50,"group_popularity":51},{"id":"PBEEFUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Beef","observation_start":"2010-07-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:20-05","popularity":39,"group_popularity":51,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PBEEFUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Beef","observation_start":"2010-05-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:38-05","popularity":38,"group_popularity":51,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PMETAINDEXQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Metal index","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:03-05","popularity":14,"group_popularity":52,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PFOODINDEXM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Food index","observation_start":"1992-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:41-05","popularity":50,"group_popularity":50,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSHRIUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Shrimp","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Kilogram","units_short":"U.S. $ per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:38-05","popularity":48,"group_popularity":50,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSOILUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Soybeans Oil","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:35-05","popularity":48,"group_popularity":50,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PMETAINDEXA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Metal index","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:00-05","popularity":5,"group_popularity":52,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRNSAXDCAUQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Australia","observation_start":"1959-07-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:39:44-05","popularity":12,"group_popularity":52},{"id":"NGDPRNSAXDCINQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for India","observation_start":"2004-04-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:43-05","popularity":49,"group_popularity":50},{"id":"NGDPRXDCAUA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Australia","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:40:38-05","popularity":10,"group_popularity":52},{"id":"PCOTTINDUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Cotton","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:31-05","popularity":16,"group_popularity":51,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PZINCUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Zinc","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:22-05","popularity":47,"group_popularity":49,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOTTINDUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Cotton","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:02-05","popularity":7,"group_popularity":51,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PBEEFUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Beef","observation_start":"2011-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-02-12 09:49:16-06","popularity":7,"group_popularity":51,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCITQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Italy","observation_start":"1996-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-22 07:28:51-05","popularity":12,"group_popularity":51},{"id":"NGDPRXDCKRA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Republic of Korea","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:53-05","popularity":12,"group_popularity":51},{"id":"TRESEGCNM194N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Reserves excluding Gold for China","observation_start":"1977-12-01","observation_end":"2026-04-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Special Drawing Rights","units_short":"Mil. of Special Drawing Rights","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-18 09:09:43-05","popularity":6,"group_popularity":49,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRXDCCNA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for China","observation_start":"2011-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-02-09 07:32:47-06","popularity":49,"group_popularity":49},{"id":"NGDPRNSAXDCKRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Republic of Korea","observation_start":"1960-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:55-05","popularity":9,"group_popularity":51},{"id":"NGDPRXDCITA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Italy","observation_start":"1995-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-09 07:35:32-05","popularity":8,"group_popularity":51},{"id":"PSOILUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Soybeans Oil","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:33-05","popularity":14,"group_popularity":50,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRNSAXDCITQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Italy","observation_start":"1996-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:59-05","popularity":3,"group_popularity":51},{"id":"PSHRIUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Shrimp","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Kilogram","units_short":"U.S. $ per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:36-05","popularity":13,"group_popularity":50,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSUNOUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Sunflower Oil","observation_start":"1992-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:58-05","popularity":46,"group_popularity":48,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSHRIUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Shrimp","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Kilogram","units_short":"U.S. $ per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:44-05","popularity":7,"group_popularity":50,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSOILUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Soybeans Oil","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:37-05","popularity":7,"group_popularity":50,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PFOODINDEXQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Food index","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:35-05","popularity":6,"group_popularity":50,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PFOODINDEXA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Food index","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:08-05","popularity":5,"group_popularity":50,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRXDCINA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for India","observation_start":"2005-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:05-05","popularity":12,"group_popularity":50},{"id":"PZINCUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Zinc","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:31-05","popularity":16,"group_popularity":49,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PZINCUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Zinc","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:35-05","popularity":11,"group_popularity":49,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNGASUSUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Natural Gas, US Henry Hub Gas","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Million Metric British Thermal Unit","units_short":"U.S. $ per Mil. Metric British Thermal Unit","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:18-05","popularity":43,"group_popularity":47,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"INTDSRJPM193N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rates, Discount Rate for Japan","observation_start":"1953-01-01","observation_end":"2017-04-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-04-29 07:02:01-05","popularity":45,"group_popularity":45,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"INTGSTBRM193N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rates, Government Securities, Treasury Bills for Brazil","observation_start":"1995-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:29:09-05","popularity":45,"group_popularity":45,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PTINUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Tin","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:39-05","popularity":38,"group_popularity":47,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCMXQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Mexico","observation_start":"1993-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-08 07:40:26-05","popularity":46,"group_popularity":47},{"id":"PTINUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Tin","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:10-05","popularity":34,"group_popularity":47,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSUNOUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Sunflower Oil","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:46-05","popularity":11,"group_popularity":48,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSUNOUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Sunflower Oil","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:13-05","popularity":7,"group_popularity":48,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PBANSOPUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Bananas","observation_start":"2010-05-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:32-05","popularity":45,"group_popularity":46,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"INTDSRCNM193N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rates, Discount Rate for China","observation_start":"1990-03-01","observation_end":"2025-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-08-11 11:02:03-05","popularity":44,"group_popularity":44,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PNGASUSUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Natural Gas, US Henry Hub Gas","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Million Metric British Thermal Unit","units_short":"U.S. $ per Mil. Metric British Thermal Unit","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:54-05","popularity":18,"group_popularity":47,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PTINUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Tin","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:40-05","popularity":7,"group_popularity":47,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRXDCFRA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for France","observation_start":"1950-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:51-05","popularity":15,"group_popularity":47},{"id":"PNGASUSUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Natural Gas, US Henry Hub Gas","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Million Metric British Thermal Unit","units_short":"U.S. $ per Mil. Metric British Thermal Unit","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:06-05","popularity":6,"group_popularity":47,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PRICENPQUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Rice, Thailand","observation_start":"2010-05-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:19-05","popularity":43,"group_popularity":45,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCFRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for France","observation_start":"1980-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-22 07:28:51-05","popularity":11,"group_popularity":47},{"id":"PLEADUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Lead","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:23-05","popularity":40,"group_popularity":45,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"DPCREDIT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Discount Window Primary Credit Rate","observation_start":"2003-01-09","observation_end":"2026-07-01","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 15:16:25-05","popularity":59,"group_popularity":61,"notes":"discount window program (https:\/\/www.frbdiscountwindow.org\/), which became effective January 9, 2003. \n\nPrimary credit is available to generally sound depository institutions at a rate set relative to the Federal Open Market Committee's (FOMC) target range for the federal funds rate. Depository institutions are not required to seek alternative sources of funds before requesting advances of primary credit. Primary credit may be used for any purpose, including financing the sale of federal funds. By making funds readily available at the primary credit rate the primary credit program complements open market operations in the implementation of monetary policy.\nReserve Banks ordinarily do not require depository institutions to provide reasons for requesting very short-term primary credit. Rather, borrowers are asked to provide only the minimum information necessary to process a loan, usually the amount and term of the loan.\n\nThis rate replaces that for adjustment credit, which was discontinued after January 8, 2003. For further information, see Board of Governor's announcement (https:\/\/www.federalreserve.gov\/boarddocs\/press\/bcreg\/2002\/200210312\/). The rate reported is that for the Federal Reserve Bank of New York.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"NGDPRNSAXDCMXQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Mexico","observation_start":"1993-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:40:38-05","popularity":8,"group_popularity":47},{"id":"NGDPRXDCMXA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Mexico","observation_start":"1993-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:39:38-05","popularity":8,"group_popularity":47},{"id":"NGDPRNSAXDCFRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for France","observation_start":"1980-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:42-05","popularity":4,"group_popularity":47},{"id":"SAUPZPIOILBEGUSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Breakeven Fiscal Oil Price for Saudi Arabia","observation_start":"2008-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"US Dollars Per Barrel","units_short":"US $ Per Barrel","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-11-06 10:11:03-06","popularity":44,"group_popularity":44,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"PBANSOPUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Bananas","observation_start":"2010-07-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:05-05","popularity":5,"group_popularity":46,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PBANSOPUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Bananas","observation_start":"2011-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-22 13:29:19-06","popularity":5,"group_popularity":46,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PRAWMINDEXM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Agr. Raw Material Index","observation_start":"1992-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:20-05","popularity":42,"group_popularity":44,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSMEAUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Soybean Meal","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:18-05","popularity":42,"group_popularity":44,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PBARLUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Barley","observation_start":"1992-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:44-05","popularity":42,"group_popularity":44,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PLEADUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Lead","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:09-05","popularity":17,"group_popularity":45,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCIDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Indonesia","observation_start":"2000-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Domestic Currency","units_short":"Bil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-05-11 07:31:47-05","popularity":42,"group_popularity":44},{"id":"PLEADUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Lead","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:55-05","popularity":13,"group_popularity":45,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PRICENPQUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Rice, Thailand","observation_start":"2011-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-02-12 09:48:44-06","popularity":9,"group_popularity":45,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"MPCREDIT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Discount Window Primary Credit Rate","observation_start":"2003-02-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-01 15:16:38-05","popularity":26,"group_popularity":61,"notes":"discount window program (https:\/\/www.frbdiscountwindow.org\/), which became effective January 9, 2003. \n\nPrimary credit is available to generally sound depository institutions at a rate set relative to the Federal Open Market Committee's (FOMC) target range for the federal funds rate. Depository institutions are not required to seek alternative sources of funds before requesting advances of primary credit. Primary credit may be used for any purpose, including financing the sale of federal funds. By making funds readily available at the primary credit rate the primary credit program complements open market operations in the implementation of monetary policy.\nReserve Banks ordinarily do not require depository institutions to provide reasons for requesting very short-term primary credit. Rather, borrowers are asked to provide only the minimum information necessary to process a loan, usually the amount and term of the loan.\n\nThis rate replaces that for adjustment credit, which was discontinued after January 8, 2003. For further information, see Board of Governor's announcement (https:\/\/www.federalreserve.gov\/boarddocs\/press\/bcreg\/2002\/200210312\/). The rate reported is that for the Federal Reserve Bank of New York.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"PROILUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Rapeseed Oil","observation_start":"1992-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:41-05","popularity":42,"group_popularity":43,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PRICENPQUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Rice, Thailand","observation_start":"2010-07-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:16-05","popularity":3,"group_popularity":45,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"INTDSRKRM193N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rates, Discount Rate for Republic of Korea","observation_start":"1964-01-01","observation_end":"2026-03-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:40:18-05","popularity":41,"group_popularity":41,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"INTDSRTRM193N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rates, Discount Rate for Turkey","observation_start":"1964-01-01","observation_end":"2026-03-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-11 07:31:50-05","popularity":41,"group_popularity":41,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"WPCREDIT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Discount Window Primary Credit Rate","observation_start":"2003-01-15","observation_end":"2026-07-01","frequency":"Weekly, Ending Wednesday","frequency_short":"W","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 15:16:15-05","popularity":16,"group_popularity":61,"notes":"discount window program (https:\/\/www.frbdiscountwindow.org\/), which became effective January 9, 2003. \n\nPrimary credit is available to generally sound depository institutions at a rate set relative to the Federal Open Market Committee's (FOMC) target range for the federal funds rate. Depository institutions are not required to seek alternative sources of funds before requesting advances of primary credit. Primary credit may be used for any purpose, including financing the sale of federal funds. By making funds readily available at the primary credit rate the primary credit program complements open market operations in the implementation of monetary policy.\nReserve Banks ordinarily do not require depository institutions to provide reasons for requesting very short-term primary credit. Rather, borrowers are asked to provide only the minimum information necessary to process a loan, usually the amount and term of the loan.\n\nThis rate replaces that for adjustment credit, which was discontinued after January 8, 2003. For further information, see Board of Governor's announcement (https:\/\/www.federalreserve.gov\/boarddocs\/press\/bcreg\/2002\/200210312\/). The rate reported is that for the Federal Reserve Bank of New York.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"PRAWMINDEXQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Agr. Raw Material Index","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:25-05","popularity":15,"group_popularity":44,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSMEAUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Soybean Meal","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:40-05","popularity":15,"group_popularity":44,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"RIFSRPF02ND","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Discount Window Primary Credit Rate","observation_start":"2003-01-09","observation_end":"2026-07-01","frequency":"Daily, 7-Day","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 15:16:15-05","popularity":10,"group_popularity":61,"notes":"discount window program (https:\/\/www.frbdiscountwindow.org\/), which became effective January 9, 2003. \n\nPrimary credit is available to generally sound depository institutions at a rate set relative to the Federal Open Market Committee's (FOMC) target range for the federal funds rate. Depository institutions are not required to seek alternative sources of funds before requesting advances of primary credit. Primary credit may be used for any purpose, including financing the sale of federal funds. By making funds readily available at the primary credit rate the primary credit program complements open market operations in the implementation of monetary policy.\nReserve Banks ordinarily do not require depository institutions to provide reasons for requesting very short-term primary credit. Rather, borrowers are asked to provide only the minimum information necessary to process a loan, usually the amount and term of the loan.\n\nThis rate replaces that for adjustment credit, which was discontinued after January 8, 2003. For further information, see Board of Governor's announcement (https:\/\/www.federalreserve.gov\/boarddocs\/press\/bcreg\/2002\/200210312\/). The rate reported is that for the Federal Reserve Bank of New York.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"PBARLUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Barley","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:22-05","popularity":7,"group_popularity":44,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PBARLUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Barley","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:41-05","popularity":7,"group_popularity":44,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PRAWMINDEXA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Agr. Raw Material Index","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:48-05","popularity":5,"group_popularity":44,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSMEAUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Soybean Meal","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:39-05","popularity":5,"group_popularity":44,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"RIFSRPF02NA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Discount Window Primary Credit Rate","observation_start":"2004-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-02 15:16:04-06","popularity":4,"group_popularity":61,"notes":"discount window program (https:\/\/www.frbdiscountwindow.org\/), which became effective January 9, 2003. \n\nPrimary credit is available to generally sound depository institutions at a rate set relative to the Federal Open Market Committee's (FOMC) target range for the federal funds rate. Depository institutions are not required to seek alternative sources of funds before requesting advances of primary credit. Primary credit may be used for any purpose, including financing the sale of federal funds. By making funds readily available at the primary credit rate the primary credit program complements open market operations in the implementation of monetary policy.\nReserve Banks ordinarily do not require depository institutions to provide reasons for requesting very short-term primary credit. Rather, borrowers are asked to provide only the minimum information necessary to process a loan, usually the amount and term of the loan.\n\nThis rate replaces that for adjustment credit, which was discontinued after January 8, 2003. For further information, see Board of Governor's announcement (https:\/\/www.federalreserve.gov\/boarddocs\/press\/bcreg\/2002\/200210312\/). The rate reported is that for the Federal Reserve Bank of New York.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"NGDPRNSAXDCIDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Indonesia","observation_start":"2008-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Domestic Currency","units_short":"Bil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-11 07:31:51-05","popularity":9,"group_popularity":44},{"id":"NGDPRXDCIDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Indonesia","observation_start":"2008-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Billions of Domestic Currency","units_short":"Bil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-02-16 07:28:21-06","popularity":8,"group_popularity":44},{"id":"RESBALNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Reserve Balances Maintained with Federal Reserve Banks (DISCONTINUED)","observation_start":"1950-01-01","observation_end":"2020-08-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2020-09-10 15:46:04-05","popularity":39,"group_popularity":42,"notes":"The Board of Governors discontinued the H.3 statistical release on September 17, 2020. For more information, please see the announcement (https:\/\/www.federalreserve.gov\/feeds\/h3.html) posted on August 20, 2020.\n\nTotal reserve balances maintained is the amount of balances institutions hold in accounts at Federal Reserve Banks that are available to satisfy reserve requirements. Historically, this series excluded balances held in a reserve account for contractual clearing purposes (contractual clearing balances program has been discontinued on July 12, 2012)."},{"id":"NGDPRSAXDCPLQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Poland","observation_start":"1995-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-22 07:28:53-05","popularity":32,"group_popularity":42},{"id":"PROILUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Rapeseed Oil","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:56-05","popularity":3,"group_popularity":43,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PROILUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Rapeseed Oil","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Metric Ton","units_short":"U.S. $ per Metric Ton","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:49-05","popularity":3,"group_popularity":43,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"IRNNXGOCMBD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Crude Oil Exports for Iran, Islamic Republic of","observation_start":"2000-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Barrels Per Day","units_short":"Barrels Per Day","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-11-06 10:11:03-06","popularity":41,"group_popularity":41,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"TRESEGUSM052N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Reserves excluding Gold for United States","observation_start":"1950-12-01","observation_end":"2026-03-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-20 07:53:34-05","popularity":39,"group_popularity":39,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"GGGDTAJPA188N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General government gross debt for Japan","observation_start":"1980-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-29 14:31:04-05","popularity":39,"group_popularity":39,"notes":"Gross debt consists of all liabilities that require payment or payments of interest and\/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https:\/\/fred.stlouisfed.org\/series\/GGGDTPJPA188N.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"EXCRESNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Excess Reserves of Depository Institutions (DISCONTINUED)","observation_start":"1959-01-01","observation_end":"2013-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2013-07-05 15:51:07-05","popularity":20,"group_popularity":42,"notes":"Excess reserves are those deposits held by depository institutions at the Fed not used to satisfy statutory reserve requirements plus that vault cash held by the same institutions not used to satisfy statutory reserve requirements. Excess reserves equals total reserves less required reserves.\n\nAs stated by the source: The concept of Excess reserves, defined as total reserve balances less reserve balance requirements, no longer aligns with the remuneration structure following phase two of the simplification of reserves administration. https:\/\/federalregister.gov\/a\/2012-8562\nNevertheless, to get at the historical concept of Excess reserves using the new H.3 statistical release, take Total reserve balances maintained (https:\/\/fred.stlouisfed.org\/series\/RESBALNS) less Reserve balance requirements (https:\/\/fred.stlouisfed.org\/series\/RESBALREQ). Alternatively, one can view excess as the amount of balances maintained that satisfy the minimum requirements, which can be calculated by taking Total reserve balances maintained (https:\/\/fred.stlouisfed.org\/series\/RESBALNS) less Bottom of penalty-free band (https:\/\/fred.stlouisfed.org\/series\/RESBRQBPF)."},{"id":"NGDPRSAXDCARQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Argentina","observation_start":"2004-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-29 07:27:48-05","popularity":39,"group_popularity":41},{"id":"RESBALNSW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Reserve Balances Maintained with Federal Reserve Banks (DISCONTINUED)","observation_start":"1975-01-08","observation_end":"2020-09-09","frequency":"Weekly, Ending Wednesday","frequency_short":"W","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2020-09-10 15:46:19-05","popularity":16,"group_popularity":42,"notes":"The Board of Governors discontinued the H.3 statistical release on September 17, 2020. For more information, please see the announcement (https:\/\/www.federalreserve.gov\/feeds\/h3.html) posted on August 20, 2020.\n\nTotal reserve balances maintained is the amount of balances institutions hold in accounts at Federal Reserve Banks that are available to satisfy reserve requirements. Historically, this series excluded balances held in a reserve account for contractual clearing purposes (contractual clearing balances program has been discontinued on July 12, 2012).\n\nEffective February 2, 1984, reserve computation and maintenance periods have been changed from weekly to bi-weekly. Series with data prior to February 2, 1984 have different values reported from one week to the next. After February 2, 1984, the value repeats for 2 consecutive weeks."},{"id":"NGDPXDCCAA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Canada","observation_start":"1961-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:40:24-05","popularity":32,"group_popularity":41},{"id":"PINDUINDEXM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Industrial Materials index","observation_start":"1992-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:05-05","popularity":40,"group_popularity":40,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRXDCPLA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Poland","observation_start":"1995-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-27 07:35:03-05","popularity":10,"group_popularity":42},{"id":"NGDPSAXDCCAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Canada","observation_start":"1961-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-08 07:39:41-05","popularity":26,"group_popularity":41},{"id":"FPCPITOTLZGJPN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Japan","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:38-06","popularity":56,"group_popularity":56,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"NGDPRNSAXDCPLQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Poland","observation_start":"1995-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:50-05","popularity":3,"group_popularity":42},{"id":"NGDPRNSAXDCRUQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Russia","observation_start":"2011-01-01","observation_end":"2025-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-04 07:34:50-05","popularity":36,"group_popularity":40},{"id":"TRESEGUSM194N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Reserves excluding Gold for United States","observation_start":"1950-12-01","observation_end":"2026-03-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Special Drawing Rights","units_short":"Mil. of Special Drawing Rights","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-20 07:53:19-05","popularity":5,"group_popularity":39,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPNSAXDCCAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Canada","observation_start":"1961-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:40:26-05","popularity":7,"group_popularity":41},{"id":"NGDPRNSAXDCARQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Argentina","observation_start":"2004-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 07:27:45-05","popularity":6,"group_popularity":41},{"id":"NGDPRXDCARA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Argentina","observation_start":"2004-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 07:27:31-05","popularity":6,"group_popularity":41},{"id":"TOTDTEUSQ163N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Debt to Equity for United States","observation_start":"2005-01-01","observation_end":"2025-04-01","frequency":"Quarterly","frequency_short":"Q","units":"Ratio","units_short":"Ratio","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-08 16:22:40-06","popularity":37,"group_popularity":37,"notes":"This series is calculated by using debt as the numerator and capital and reserves as the denominator. It is a measure of corporate leverage the extent to which activities are financed out of own funds.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRSAXDCTRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Turkey","observation_start":"1995-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-22 07:29:05-05","popularity":37,"group_popularity":39},{"id":"NGDPRXDCRUA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Russia","observation_start":"1990-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-04 07:34:49-05","popularity":17,"group_popularity":40},{"id":"NGDPRSAXDCZAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for South Africa","observation_start":"1993-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 07:37:06-05","popularity":35,"group_popularity":39},{"id":"PINDUINDEXA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Industrial Materials index","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:11-05","popularity":5,"group_popularity":40,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PINDUINDEXQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Industrial Materials index","observation_start":"1992-01-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"Index 2016 = 100","units_short":"Index 2016 = 100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:46-05","popularity":1,"group_popularity":40,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"INTGSTJPM193N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rates, Government Securities, Treasury Bills for Japan","observation_start":"1955-04-01","observation_end":"2017-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-04-29 09:08:01-05","popularity":36,"group_popularity":36,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"ZAFNGDPRPCPPPT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for South Africa","observation_start":"2000-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change From Preceding Period","units_short":"% Chg. From Preceding Period","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-22 15:10:45-06","popularity":13,"group_popularity":39,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"NGDPRSAXDCBRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Brazil","observation_start":"1996-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-22 07:28:52-05","popularity":37,"group_popularity":38},{"id":"NGDPRNSAXDCTRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Turkey","observation_start":"1995-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:44-05","popularity":11,"group_popularity":39},{"id":"PPORKUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Swine","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:45-05","popularity":36,"group_popularity":37,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PPOULTUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Poultry","observation_start":"2003-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:53-05","popularity":36,"group_popularity":37,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRXDCZAA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for South Africa","observation_start":"1993-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-16 07:31:46-05","popularity":6,"group_popularity":39},{"id":"NGDPRXDCTRA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Turkey","observation_start":"1995-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-16 07:31:29-05","popularity":5,"group_popularity":39},{"id":"NGDPRNSAXDCZAQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for South Africa","observation_start":"1993-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:14-05","popularity":4,"group_popularity":39},{"id":"INTDSRBRM193N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rates, Discount Rate for Brazil","observation_start":"1996-10-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:29:16-05","popularity":35,"group_popularity":35,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"GGGDTADEA188N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General government gross debt for Germany","observation_start":"1991-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-29 14:31:02-05","popularity":35,"group_popularity":35,"notes":"Gross debt consists of all liabilities that require payment or payments of interest and\/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https:\/\/fred.stlouisfed.org\/series\/GGGDTPDEA188N.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"GGGDTACNA188N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General government gross debt for China","observation_start":"1995-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-29 14:31:01-05","popularity":35,"group_popularity":35,"notes":"Gross debt consists of all liabilities that require payment or payments of interest and\/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https:\/\/fred.stlouisfed.org\/series\/GGGDTPCNA188N.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSALMUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Fish","observation_start":"2010-05-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Kilogram","units_short":"U.S. $ per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:38-05","popularity":25,"group_popularity":37,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\r\n\r\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPSAXDCJPQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Japan","observation_start":"1994-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 07:37:57-05","popularity":33,"group_popularity":37},{"id":"PSALMUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Fish","observation_start":"2010-07-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Kilogram","units_short":"U.S. $ per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:41-05","popularity":22,"group_popularity":37,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\r\n\r\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPRXDCBRA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Brazil","observation_start":"1996-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:49-05","popularity":8,"group_popularity":38},{"id":"NGDPRNSAXDCBRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Brazil","observation_start":"1996-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:44-05","popularity":7,"group_popularity":38},{"id":"PSALMUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Fish","observation_start":"2011-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Kilogram","units_short":"U.S. $ per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:45-05","popularity":11,"group_popularity":37,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\r\n\r\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPXDCJPA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Japan","observation_start":"1994-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:54-05","popularity":12,"group_popularity":37},{"id":"PPORKUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Swine","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:55-05","popularity":3,"group_popularity":37,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PPORKUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Swine","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:57-05","popularity":3,"group_popularity":37,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PPOULTUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Poultry","observation_start":"2003-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:02-05","popularity":3,"group_popularity":37,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PPOULTUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Poultry","observation_start":"2003-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-22 13:28:55-06","popularity":2,"group_popularity":37,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NFISAXDCUSQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Fixed Capital Formation for United States","observation_start":"1950-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-29 07:27:45-05","popularity":27,"group_popularity":36},{"id":"NFIXDCUSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Fixed Capital Formation for United States","observation_start":"1950-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-20 07:53:31-05","popularity":26,"group_popularity":36},{"id":"NGDPNSAXDCJPQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Japan","observation_start":"1994-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:23-05","popularity":6,"group_popularity":37},{"id":"PCOFFROBUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Coffee, Robustas","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:36:26-05","popularity":33,"group_popularity":35,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"GDPC1CTM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Central Tendency, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:31-05","popularity":50,"group_popularity":50,"notes":"Projections of real gross domestic product growth are fourth-quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the midpoint of the central tendency forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"PSUGAUSAUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Sugar, No. 16, US","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:48-05","popularity":27,"group_popularity":34,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PCOFFROBUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Coffee, Robustas","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:26:31-05","popularity":6,"group_popularity":35,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPSAXDCAUQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Australia","observation_start":"1959-07-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-08 07:40:33-05","popularity":33,"group_popularity":34},{"id":"PCOFFROBUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Coffee, Robustas","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:02-05","popularity":5,"group_popularity":35,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"GGGDTAARA188N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General government gross debt for Argentina","observation_start":"1992-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-29 14:31:05-05","popularity":30,"group_popularity":32,"notes":"Gross debt consists of all liabilities that require payment or payments of interest and\/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https:\/\/fred.stlouisfed.org\/series\/GGGDTPARA188N.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPSAXDCDEQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Germany","observation_start":"1991-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-22 07:28:49-05","popularity":30,"group_popularity":34},{"id":"PSUGAUSAUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Sugar, No. 16, US","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:46-05","popularity":19,"group_popularity":34,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"SAUNGDPMOMBD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Crude Oil Production for Saudi Arabia","observation_start":"2000-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Barrels Per Day","units_short":"Barrels Per Day","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-11-06 10:11:02-06","popularity":33,"group_popularity":33,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"PHIDEUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Hides","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:57-05","popularity":32,"group_popularity":33,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"INTDSRINM193N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rates, Discount Rate for India","observation_start":"1968-01-01","observation_end":"2022-07-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-09-12 07:10:02-05","popularity":31,"group_popularity":31,"notes":"Notes regarding this series can be found in International Financial Statistics Yearbooks produced by the International Monetary Fund (IMF). We have requested these publications from the IMF. Notes on this series will populate once they become available.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPXDCDEA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Germany","observation_start":"1991-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:41-05","popularity":14,"group_popularity":34},{"id":"GGGDTAITA188N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General government gross debt for Italy","observation_start":"1988-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-29 14:31:02-05","popularity":31,"group_popularity":31,"notes":"Gross debt consists of all liabilities that require payment or payments of interest and\/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https:\/\/fred.stlouisfed.org\/series\/GGGDTPITA188N.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PSUGAUSAUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Sugar, No. 16, US","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:35-05","popularity":3,"group_popularity":34,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"FEDTARMDLR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Longer Run FOMC Summary of Economic Projections for the Fed Funds Rate, Median","observation_start":"2012-01-25","observation_end":"2026-06-17","frequency":"Not Applicable","frequency_short":"NA","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:31-05","popularity":47,"group_popularity":47,"notes":"The longer-run projections are the rates of growth, inflation, unemployment, and federal funds rate to which a policymaker expects the economy to converge over time in the absence of further shocks and under appropriate monetary policy. Because appropriate monetary policy, by definition, is aimed at achieving the Federal Reserve's dual mandate of maximum employment and price stability in the longer run, policymakers' longer-run projections for economic growth and unemployment may be interpreted, respectively, as estimates of the economy's longer-run potential growth rate and the longer-run normal rate of unemployment; similarly, the longer-run projection of inflation is the rate of inflation which the FOMC judges to be most consistent with its dual mandate in the longer-term.\n\nThe projections for the federal funds rate are the value of the midpoint of the projected appropriate target range for the federal funds rate or the projected appropriate target level for the federal funds rate at the end of the specified calendar year or over the longer run. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the median value of the range forecast established by the Federal Open Market Committee. For each period, the median is the middle projection when the projections are arranged from lowest to highest. When the number of projections is even, the median is the average of the two middle projections.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"NGDPXDCAUA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Australia","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:39:01-05","popularity":7,"group_popularity":34},{"id":"NGDPNSAXDCAUQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Australia","observation_start":"1959-07-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-08 07:40:26-05","popularity":5,"group_popularity":34},{"id":"NGDPNSAXDCDEQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Germany","observation_start":"1991-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-22 07:28:54-05","popularity":4,"group_popularity":34},{"id":"NFIRSAXDCUSQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Fixed Capital Formation for United States","observation_start":"1972-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-29 07:27:51-05","popularity":23,"group_popularity":33},{"id":"NFIRXDCUSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Fixed Capital Formation for United States","observation_start":"1972-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-20 07:53:26-05","popularity":18,"group_popularity":33},{"id":"IOER","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Interest Rate on Excess Reserves (IOER Rate) (DISCONTINUED)","observation_start":"2008-10-09","observation_end":"2021-07-28","frequency":"Daily, 7-Day","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2021-07-27 15:32:02-05","popularity":48,"group_popularity":48,"notes":"IOER (https:\/\/fred.stlouisfed.org\/series\/IOER)) and the interest rate on required reserves (IORR (https:\/\/fred.stlouisfed.org\/series\/IORR)) were replaced with a single rate, the interest rate on reserve balances (IORB (https:\/\/fred.stlouisfed.org\/series\/IORB)). See the source's announcement (https:\/\/www.federalreserve.gov\/newsevents\/pressreleases\/bcreg20210602a.htm) for more details.\n\nThe interest rate on excess reserves (IOER rate) is determined by the Board of Governors and gives the Federal Reserve an additional tool to conduct monetary policy.\n\nSee Policy Tools (https:\/\/www.federalreserve.gov\/monetarypolicy\/reqresbalances.htm) for more information.\n\nFor questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"FPCPITOTLZGWLD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the World","observation_start":"1981-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:29-05","popularity":48,"group_popularity":48,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"PHIDEUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Hides","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:55-05","popularity":4,"group_popularity":33,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PHIDEUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Hides","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Pound","units_short":"U.S. Cents per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:59:11-05","popularity":2,"group_popularity":33,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NFIRNSAXDCUSQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Fixed Capital Formation for United States","observation_start":"2015-04-01","observation_end":"2020-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Domestic Currency","units_short":"Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2021-06-22 10:09:10-05","popularity":5,"group_popularity":33},{"id":"ARGGGXWDGGDP","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General Government Gross Debt for Argentina","observation_start":"1992-01-01","observation_end":"2031-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Fiscal Year GDP","units_short":"% of Fiscal Yr. GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-22 16:46:12-05","popularity":7,"group_popularity":32,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"HDTGPDCAQ163N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Household Debt to GDP for Canada","observation_start":"2005-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Ratio","units_short":"Ratio","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-01 07:03:19-05","popularity":29,"group_popularity":29,"notes":"The data for household debt comprise debt incurred by resident households of the economy only. This FSI measures the overall level of household indebtedness (commonly related to consumer loans and mortgages) as a share of GDP.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"VNMPCPIPCPPPT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Prices: Consumer Price Index for Vietnam","observation_start":"1990-01-01","observation_end":"2031-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change","units_short":"% Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-22 16:46:31-05","popularity":30,"group_popularity":30,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"JPNPCPIPCPPPT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Prices: Consumer Price Index for Japan","observation_start":"1990-01-01","observation_end":"2031-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change","units_short":"% Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-22 16:46:44-05","popularity":30,"group_popularity":30,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"REQRESNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Required Reserves of Depository Institutions (DISCONTINUED)","observation_start":"1959-01-01","observation_end":"2020-08-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2020-09-10 15:46:06-05","popularity":30,"group_popularity":30,"notes":"The Board of Governors discontinued the H.3 statistical release on September 17, 2020. For more information, please see the announcement (https:\/\/www.federalreserve.gov\/feeds\/h3.html) posted on August 20, 2020.\n\n"},{"id":"GGGDTAGBA188N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General government gross debt for United Kingdom","observation_start":"1980-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-29 14:31:03-05","popularity":28,"group_popularity":28,"notes":"Gross debt consists of all liabilities that require payment or payments of interest and\/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https:\/\/fred.stlouisfed.org\/series\/GGGDTPGBA188N.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"GGGDTAFRA188N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General government gross debt for France","observation_start":"1980-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-29 14:31:06-05","popularity":28,"group_popularity":28,"notes":"Gross debt consists of all liabilities that require payment or payments of interest and\/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https:\/\/fred.stlouisfed.org\/series\/GGGDTPFRA188N.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"GGGDTACAA188N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General government gross debt for Canada","observation_start":"1980-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-29 14:31:01-05","popularity":26,"group_popularity":28,"notes":"Gross debt consists of all liabilities that require payment or payments of interest and\/or principal by the debtor to the creditor at a date or dates in the future. This includes debt liabilities in the form of Special Drawing Rights (SDRs), currency and deposits, debt securities, loans, insurance, pensions and standardized guarantee schemes, and other accounts payable. Thus, all liabilities in the Government Finance Statistics Manual 2001 (GFSM 2001) system are debt, except for equity and investment fund shares and financial derivatives and employee stock options. Debt can be valued at current market, nominal, or face values (GFSM 2001, paragraph 7.110). A projection of this data can be found at https:\/\/fred.stlouisfed.org\/series\/GGGDTPCAA188N.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"ZWENGDPRPCPPPT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Zimbabwe","observation_start":"2000-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change From Preceding Period","units_short":"% Chg. From Preceding Period","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-22 15:10:40-06","popularity":29,"group_popularity":29,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"FPCPITOTLZGGBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the United Kingdom","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:41-06","popularity":45,"group_popularity":45,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"NGDPNSAXDCINQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for India","observation_start":"2004-04-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:38:12-05","popularity":26,"group_popularity":29},{"id":"GGGDTAGRC188N","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General government gross debt for Greece","observation_start":"1980-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-29 14:31:02-05","popularity":28,"group_popularity":28,"notes":"Copyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"FPCPITOTLZGCHN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for China","observation_start":"1987-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:29-05","popularity":44,"group_popularity":44,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGAUS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Australia","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:49-05","popularity":44,"group_popularity":44,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"PORANGUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Orange","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Dollars per Pound","units_short":"U.S. $ per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:35:43-05","popularity":23,"group_popularity":28,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PWOOLCUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Wool, Coarse","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Kilogram","units_short":"U.S. Cents per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:51-05","popularity":22,"group_popularity":28,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPXDCINA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for India","observation_start":"2005-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:47-05","popularity":8,"group_popularity":29},{"id":"NGDPSAXDCKRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Republic of Korea","observation_start":"1960-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 07:37:50-05","popularity":23,"group_popularity":28},{"id":"PORANGUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Orange","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Dollars per Pound","units_short":"U.S. $ per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:44-05","popularity":13,"group_popularity":28,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PWOOLCUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Wool, Coarse","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Kilogram","units_short":"U.S. Cents per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:35-05","popularity":13,"group_popularity":28,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"CANGGXWDGGDP","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"General Government Gross Debt for Canada","observation_start":"1980-01-01","observation_end":"2031-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Fiscal Year GDP","units_short":"% of Fiscal Yr. GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-22 16:46:01-05","popularity":9,"group_popularity":28,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"AREPCPIPCHPT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Consumer Price Inflation for United Arab Emirates","observation_start":"2000-01-01","observation_end":"2030-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change","units_short":"% Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-22 15:09:15-06","popularity":27,"group_popularity":27,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"ZAFNGDPRPCPCPPPT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real GDP Per Capita for South Africa","observation_start":"2000-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change From Preceding Period","units_short":"% Chg. From Preceding Period","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-22 15:10:54-06","popularity":27,"group_popularity":27,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"USABCAGDPBP6","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Balance of Payments: Current account balance (credit less debit) for United States","observation_start":"1980-01-01","observation_end":"2031-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP in U.S. Dollars","units_short":"% of GDP in U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-22 16:45:38-05","popularity":27,"group_popularity":27,"notes":"Observations for the current and future years are projections.\r\n\r\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\r\n\r\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\r\n\r\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"SAUNGDPXORPCHPT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Non-Oil Real GDP Growth in Constant Prices for Saudi Arabia","observation_start":"2000-01-01","observation_end":"2030-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change","units_short":"% Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-22 15:08:45-06","popularity":27,"group_popularity":27,"notes":"Observations for the current and future years are projections.\n\nThe IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis.\n\nFor more information, please see the Regional Economic Outlook (https:\/\/www.imf.org\/en\/publications\/reo) publications.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http:\/\/www.imf.org\/external\/terms.htm)."},{"id":"PWOOLFUSDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Wool, Fine","observation_start":"1992-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"U.S. Cents per Kilogram","units_short":"U.S. Cents per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-05 14:34:26-05","popularity":26,"group_popularity":27,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PWOOLCUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Wool, Coarse","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Kilogram","units_short":"U.S. Cents per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:30-05","popularity":2,"group_popularity":28,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PORANGUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Orange","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Dollars per Pound","units_short":"U.S. $ per Pound","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:58-05","popularity":1,"group_popularity":28,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"NGDPXDCKRA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Republic of Korea","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:37:48-05","popularity":9,"group_popularity":28},{"id":"NGDPNSAXDCKRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Republic of Korea","observation_start":"1960-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-15 07:38:03-05","popularity":4,"group_popularity":28},{"id":"NGDPRXDCIRA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Real Gross Domestic Product for Ireland","observation_start":"2012-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-01-27 08:43:09-06","popularity":3,"group_popularity":28},{"id":"NGDPNSAXDCRUQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Russia","observation_start":"1994-01-01","observation_end":"2025-10-01","frequency":"Quarterly","frequency_short":"Q","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-04 07:34:45-05","popularity":21,"group_popularity":27},{"id":"NGDPXDCRUA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Nominal Gross Domestic Product for Russia","observation_start":"1990-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Domestic Currency","units_short":"Mil. of Domestic Currency","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-05-04 07:34:43-05","popularity":15,"group_popularity":27},{"id":"FPCPITOTLZGTUR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Turkey","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:38-05","popularity":42,"group_popularity":42,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGIND","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for India","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:40-06","popularity":42,"group_popularity":42,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"PWOOLFUSDQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Wool, Fine","observation_start":"1992-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"U.S. Cents per Kilogram","units_short":"U.S. Cents per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-15 09:58:36-05","popularity":2,"group_popularity":27,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"PWOOLFUSDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Global price of Wool, Fine","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"U.S. Cents per Kilogram","units_short":"U.S. Cents per Kilogram","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-03-24 14:25:38-05","popularity":1,"group_popularity":27,"notes":"Value represents the benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars.\n\nCopyright \u00a9 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available at http:\/\/www.imf.org\/external\/terms.htm."},{"id":"UNRATEMD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Median","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:25-05","popularity":41,"group_popularity":41,"notes":"Projections for the unemployment rate are for the average civilian unemployment rate in the fourth quarter of each year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the median value of the range forecast established by the Federal Open Market Committee. For each period, the median is the middle projection when the projections are arranged from lowest to highest. When the number of projections is even, the median is the average of the two middle projections.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"GDPC1MD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Median","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:28-05","popularity":40,"group_popularity":40,"notes":"Projections of real gross domestic product growth are fourth-quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the median value of the range forecast established by the Federal Open Market Committee. For each period, the median is the middle projection when the projections are arranged from lowest to highest. When the number of projections is even, the median is the average of the two middle projections.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGCAN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Canada","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:35-05","popularity":39,"group_popularity":39,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGVNM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Viet Nam","observation_start":"1996-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:31-05","popularity":39,"group_popularity":39,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGDEU","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Germany","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:24-05","popularity":38,"group_popularity":38,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLJPA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Japan","observation_start":"1990-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:56:03-05","popularity":38,"group_popularity":38,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FEDTARCTM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Fed Funds Rate, Central Tendency, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:27-05","popularity":38,"group_popularity":38,"notes":"The projections for the federal funds rate are the value of the midpoint of the projected appropriate target range for the federal funds rate or the projected appropriate target level for the federal funds rate at the end of the specified calendar year or over the longer run. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the midpoint of the central tendency forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"PCECTPICTM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures Inflation Rate, Central Tendency, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:30-05","popularity":38,"group_popularity":38,"notes":"Projections of personal consumption expenditures (PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures (PCEPI). Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the midpoint of the central tendency forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"STLPPM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Price Pressures Measure","observation_start":"1990-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Probability","units_short":"Probability","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-26 12:07:20-05","popularity":37,"group_popularity":37,"notes":"This series measures the probability that the expected personal consumption expenditures price index (PCEPI) inflation rate (12-month percent changes) over the next 12 months will exceed 2.5 percent.\r\n\r\nFor additional information on the Price Pressures Measure and its construction, see Introducing the St. Louis Fed Price Pressures Measure (https:\/\/fraser.stlouisfed.org\/title\/economic-synopses-6715\/introducing-st-louis-fed-price-pressures-measure-624462\/).\r\n\r\nAs of April 5, 2023, the MZM Money Stock measure, in SA billions of dollars, has been replaced with the series Revolving Consumer Credit Outstanding (break-adjusted), in SA billions of dollars, from the Federal Reserve\u2019s monthly G.19 release. This change was made because the MZM series was discontinued.\r\n\r\nAs of February 3, 2020, the Emerging and Developing Asia and Western Hemisphere Consumer Prices Indexes have been replaced with Asia\/Pacific Rim and Latin America Consumer Price Indexes respectively. These changes were made to facilitate a more timely updating of the PPM. Switching the Consumer Prices Indexes produced no meaningful change in the PPM series.\r\n\r\nAs of January 29, 2021, the Adjusted Monetary Base (including Deposits to Satisfy Clearing Balance Contracts) Seasonally Adjusted, in billions of dollars has been replaced with the series, Monetary Base, NSA, in billions of dollars.\r\n\r\nAs of June 26, 2026:\r\n \r\n- The KR-CRB Spot Commodity Price Index for All Commodities has been replaced with the S&P Goldman Sachs Spot Index.\r\n- The KR-CRB Spot Commodity Price Index for Metals has been replaced with the S&P Goldman Sachs Industrial Metals Index.\r\n- The KR-CRB Spot Commodity Price Index for Textiles and Fibers has been replaced with the FIBER Industrial Materials Index for Textiles.\r\n- The KR-CRB Spot Commodity Price Index for Raw Industrials has been replaced with the S&P Goldman Sachs Precious Metals Nearby Index. \r\n- The KR-CRB Spot Commodity Price Index for Foodstuffs has been replaced with the S&P Goldman Sachs Agricultural Commodities Nearby Index.\r\n- The KR-CRB Spot Commodity Price Index for Fats and Oils has been removed.\r\n- The KR-CRB Spot Commodity Price Index for Livestock and Products has been replaced with the S&P Goldman Sachs Livestock Nearby Index.\r\n \r\nThese changes were made because the KR-CRB series was discontinued."},{"id":"FPCPITOTLZGKOR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Republic of Korea","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:40-06","popularity":37,"group_popularity":37,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for United States","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:02-05","popularity":36,"group_popularity":36,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGIDN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Indonesia","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:46-06","popularity":35,"group_popularity":35,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FEDTARCTH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Fed Funds Rate, Central Tendency, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:31-05","popularity":33,"group_popularity":33,"notes":"The projections for the federal funds rate are the value of the midpoint of the projected appropriate target range for the federal funds rate or the projected appropriate target level for the federal funds rate at the end of the specified calendar year or over the longer run. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the high value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGBRA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Brazil","observation_start":"1981-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:34-05","popularity":33,"group_popularity":33,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"GDPC1CTMLR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Longer Run FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Central Tendency, Midpoint","observation_start":"2009-02-18","observation_end":"2026-06-17","frequency":"Not Applicable","frequency_short":"NA","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:29-05","popularity":31,"group_popularity":31,"notes":"The longer-run projections are the rates of growth, inflation, and unemployment to which a policymaker expects the economy to converge over time in the absence of further shocks and under appropriate monetary policy. Because appropriate monetary policy, by definition, is aimed at achieving the Federal Reserve's dual mandate of maximum employment and price stability in the longer run, policymakers' longer-run projections for economic growth and unemployment may be interpreted, respectively, as estimates of the economy's longer-run potential growth rate and the longer-run normal rate of unemployment; similarly, the longer-run projection of inflation is the rate of inflation which the FOMC judges to be most consistent with its dual mandate in the longer-term.\n\nProjections of real gross domestic product growth are fourth-quarter growth rates - that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the midpoint of the central tendency forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGITA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Italy","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:39-06","popularity":32,"group_popularity":32,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"M1329AUSM193NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Yields on Short-Term United States Securities, Three-Six Month Treasury Notes and Certificates, Three Month Treasury Bills for United States","observation_start":"1920-01-01","observation_end":"1934-03-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:16:53-05","popularity":29,"group_popularity":32,"notes":"Series Is Presented Here As Two Variables--(1)--Original Data, 1920-1934 (2)--Original Data, 1931-1969. Data For 1920-March 1934 Are For The Average Daily Figures For U.S. Treasury Three-Six Month Notes And Certificates. Beginning February 1931, Data Are Averages Of Weekly Rates Discount On New Treasury Three Month Bills. Data For 1920-1921 Are For Average Daily Figures For The Week Nearest The 15Th Of The Month. Data For April-June 1928 Are Based On Certificates Of Six To Nine Months Maturity. Source: Direct From The The Federal Reserve Board; Also Banking And Monetary Statistics, P. 460.\n\nThis NBER data series m13029a appears on the NBER website in Chapter 13 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter13.html.\n\nNBER Indicator: m13029a"},{"id":"FPCPITOTLZGMEX","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Mexico","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:04-05","popularity":31,"group_popularity":31,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGMYS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Malaysia","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:06-05","popularity":31,"group_popularity":31,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FEDTARRM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Fed Funds Rate, Range, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:29-05","popularity":31,"group_popularity":31,"notes":"The projections for the federal funds rate are the value of the midpoint of the projected appropriate target range for the federal funds rate or the projected appropriate target level for the federal funds rate at the end of the specified calendar year or over the longer run. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the midpoint of the range forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FEDTARRL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Fed Funds Rate, Range, Low","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:27-05","popularity":31,"group_popularity":31,"notes":"The projections for the federal funds rate are the value of the midpoint of the projected appropriate target range for the federal funds rate or the projected appropriate target level for the federal funds rate at the end of the specified calendar year or over the longer run. Each participant's projections are based on his or her assessment of appropriate monetary policy.he range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the low value of the range forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"STLPPMDEF","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deflation Probability","observation_start":"1990-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Probability","units_short":"Probability","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-26 12:07:19-05","popularity":29,"group_popularity":29,"notes":"This series measures the probability that the personal consumption expenditures price index (PCEPI) inflation rate (12-month changes) over the next 12 months will fall below zero.\r\n\r\nFor additional information on the Price Pressures Measure and its construction, see Introducing the St. Louis Fed Price Pressures Measure (https:\/\/fraser.stlouisfed.org\/title\/economic-synopses-6715\/introducing-st-louis-fed-price-pressures-measure-624462).\r\n\r\nAs of April 5, 2023, the MZM Money Stock measure, in SA billions of dollars, has been replaced with the series Revolving Consumer Credit Outstanding (break-adjusted), in SA billions of dollars, from the Federal Reserve\u2019s monthly G.19 release. This change was made because the MZM series was discontinued.\r\n\r\nAs of February 3, 2020, the Emerging and Developing Asia and Western Hemisphere Consumer Prices Indexes have been replaced with Asia\/Pacific Rim and Latin America Consumer Price Indexes respectively. These changes were made to facilitate a more timely updating of the PPM. Switching the Consumer Prices Indexes produced no meaningful change in the PPM series.\r\n\r\nAs of January 29, 2021, the Adjusted Monetary Base (including Deposits to Satisfy Clearing Balance Contracts) Seasonally Adjusted, in billions of dollars has been replaced with the series, Monetary Base, NSA, in billions of dollars.\r\n\r\nAs of June 26, 2026:\r\n \r\n- The KR-CRB Spot Commodity Price Index for All Commodities has been replaced with the S&P Goldman Sachs Spot Index.\r\n- The KR-CRB Spot Commodity Price Index for Metals has been replaced with the S&P Goldman Sachs Industrial Metals Index.\r\n- The KR-CRB Spot Commodity Price Index for Textiles and Fibers has been replaced with the FIBER Industrial Materials Index for Textiles.\r\n- The KR-CRB Spot Commodity Price Index for Raw Industrials has been replaced with the S&P Goldman Sachs Precious Metals Nearby Index. \r\n- The KR-CRB Spot Commodity Price Index for Foodstuffs has been replaced with the S&P Goldman Sachs Agricultural Commodities Nearby Index.\r\n- The KR-CRB Spot Commodity Price Index for Fats and Oils has been removed.\r\n- The KR-CRB Spot Commodity Price Index for Livestock and Products has been replaced with the S&P Goldman Sachs Livestock Nearby Index.\r\n \r\nThese changes were made because the KR-CRB series was discontinued."},{"id":"FPCPITOTLZGZWE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Zimbabwe","observation_start":"2010-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:36-06","popularity":29,"group_popularity":29,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGFRA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for France","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:32-05","popularity":29,"group_popularity":29,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGRUS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Russian Federation","observation_start":"1993-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:39-05","popularity":28,"group_popularity":28,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGARG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Argentina","observation_start":"2018-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-10-08 16:04:49-05","popularity":28,"group_popularity":28,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FEDTARRH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Fed Funds Rate, Range, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:26-05","popularity":28,"group_popularity":28,"notes":"The projections for the federal funds rate are the value of the midpoint of the projected appropriate target range for the federal funds rate or the projected appropriate target level for the federal funds rate at the end of the specified calendar year or over the longer run. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the high value of the range forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGZAF","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for South Africa","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:31-05","popularity":27,"group_popularity":27,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGCHE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Switzerland","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:29-05","popularity":27,"group_popularity":27,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DISCOUNT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Discount Rate Changes: Historical Dates of Changes and Rates (DISCONTINUED)","observation_start":"1934-02-02","observation_end":"2002-11-06","frequency":"Not Applicable","frequency_short":"NA","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2003-07-23 12:37:44-05","popularity":26,"group_popularity":26,"notes":"Effective Date\nData before 1975 represent the date of the New York Fed discount rate change, data after 1975 represent the date of the first Federal Reserve bank discount rate change.\nSource: Board of Governors: Banking and Monetary Statistics, 1914-1941, and 1941-1970; the Annual Statistical Digest, 1970-1979; and the Federal Reserve Bulletin, 1978 - January 8, 2003.\n\nPlease refer to http:\/\/www.federalreserve.gov\/boarddocs\/press\/monetary\/2003\/20030106\/default.htm for further information on the discontinuation of this series effective January 9, 2003."},{"id":"FPCPITOTLZGTHA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Thailand","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:38-05","popularity":26,"group_popularity":26,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLCAA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Canada","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:42-05","popularity":26,"group_popularity":26,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGCHL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Chile","observation_start":"1971-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:55-05","popularity":25,"group_popularity":25,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"IPUEN3364U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Aerospace Product and Parts Manufacturing (NAICS 3364) in the United States","observation_start":"1988-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:08:56-05","popularity":24,"group_popularity":25,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"JCXFEMD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures less Food and Energy Inflation Rate, Median","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:23-05","popularity":24,"group_popularity":24,"notes":"Projections of personal consumption expenditures less food and energy (Core PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Core PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures less food and energy. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the median value of the range forecast established by the Federal Open Market Committee. For each period, the median is the middle projection when the projections are arranged from lowest to highest. When the number of projections is even, the median is the average of the two middle projections.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DEBTTLGBA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the United Kingdom","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:46-06","popularity":24,"group_popularity":24,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGHKG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Hong Kong SAR, China","observation_start":"1982-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:07-05","popularity":24,"group_popularity":24,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGUKR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Ukraine","observation_start":"1993-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:31-05","popularity":24,"group_popularity":24,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGIRN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Islamic Republic of Iran","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:56:16-05","popularity":24,"group_popularity":24,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"PCECTPIRM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures Inflation Rate, Range, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:22-05","popularity":24,"group_popularity":24,"notes":"Projections of personal consumption expenditures (PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures (PCEPI). Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the year. This series represents the midpoint of the range forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"IPUEN3364U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Aerospace Product and Parts Manufacturing (NAICS 3364) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:08:49-05","popularity":3,"group_popularity":25,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"FPCPITOTLZGNGA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Nigeria","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:26-06","popularity":23,"group_popularity":23,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGEGY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Egypt","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:28-05","popularity":23,"group_popularity":23,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGSGP","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Singapore","observation_start":"1961-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:35-05","popularity":23,"group_popularity":23,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLCNA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for China","observation_start":"1990-01-01","observation_end":"1999-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2011-09-23 14:16:25-05","popularity":22,"group_popularity":22,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDAI02USA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for United States","observation_start":"2004-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:23:02-05","popularity":22,"group_popularity":22,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDDI06USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for United States","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:03-05","popularity":21,"group_popularity":21,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"FPCPITOTLZGQAT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Qatar","observation_start":"1980-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:38-06","popularity":20,"group_popularity":20,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"PCECTPIMD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures Inflation Rate, Median","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:24-05","popularity":20,"group_popularity":20,"notes":"Projections of personal consumption expenditures (PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures (PCEPI). Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the year. This series represents the median value of the range forecast established by the Federal Open Market Committee. For each period, the median is the middle projection when the projections are arranged from lowest to highest. When the number of projections is even, the median is the average of the two middle projections.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGESP","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Spain","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:48-05","popularity":20,"group_popularity":20,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGGRC","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Greece","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:53-05","popularity":19,"group_popularity":19,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI01QAA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Qatar","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:06-05","popularity":19,"group_popularity":19,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"FPCPITOTLZGPOL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Poland","observation_start":"1971-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:20-05","popularity":19,"group_popularity":19,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLGRA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Greece","observation_start":"1997-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:05-05","popularity":18,"group_popularity":18,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGDNK","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Denmark","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:54-05","popularity":18,"group_popularity":18,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGCOL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Colombia","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:26-05","popularity":18,"group_popularity":18,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGSAU","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Saudi Arabia","observation_start":"1964-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:39-05","popularity":18,"group_popularity":18,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGSWE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Sweden","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:32-05","popularity":18,"group_popularity":18,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI07USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for United States","observation_start":"1998-01-01","observation_end":"2009-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:03-05","popularity":18,"group_popularity":18,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"FPCPITOTLZGVEN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Bolivarian Republic of Venezuela","observation_start":"2009-01-01","observation_end":"2016-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-12-19 13:44:09-06","popularity":18,"group_popularity":18,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI02QAA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Qatar","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:08-05","popularity":18,"group_popularity":18,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"FPCPITOTLZGAGO","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Angola","observation_start":"1991-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:39-05","popularity":18,"group_popularity":18,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGLVA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Latvia","observation_start":"1992-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:26-05","popularity":17,"group_popularity":17,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGROU","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Romania","observation_start":"1991-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:31-05","popularity":17,"group_popularity":17,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGPER","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Peru","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:08-05","popularity":17,"group_popularity":17,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLUSA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the United States","observation_start":"1989-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:39-05","popularity":17,"group_popularity":17,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGBGD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Bangladesh","observation_start":"1987-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:53-05","popularity":16,"group_popularity":16,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGPHL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Philippines","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:05-05","popularity":16,"group_popularity":16,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGPAK","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Pakistan","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:51-05","popularity":16,"group_popularity":16,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGNZL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for New Zealand","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:47-06","popularity":16,"group_popularity":16,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGPAN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Panama","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:58:38-05","popularity":16,"group_popularity":16,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"JCXFECTM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures less Food and Energy Inflation Rate, Central Tendency, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:28-05","popularity":16,"group_popularity":16,"notes":"Projections of personal consumption expenditures less food and energy (Core PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Core PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures less food and energy. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the midpoint of the central tendency forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"M10092USM144NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Consumer Credit Outstanding for United States","observation_start":"1929-01-01","observation_end":"1969-02-01","frequency":"Monthly, End of Month","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. Of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-17 15:21:30-05","popularity":16,"group_popularity":16,"notes":"These Estimates Cover Both Installment Credit And Noninstallment Credit Outstanding At The End Of The Month. Source: Federal Reserve Board, Data For 1929-1946: Bulletin Of April 1953; Data For 1947-1967: \"Consumer Credit, \" Supplement To Banking And Monetary Statistics, Section 16 (New); Data For 1968: Monthly Bulletins\n\nThis NBER data series m10092 appears on the NBER website in Chapter 10 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter10.html.\n\nNBER Indicator: m10092"},{"id":"FPCPITOTLZGRWA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Rwanda","observation_start":"1967-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:39-05","popularity":16,"group_popularity":16,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"M1437BUSM144NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gold Held in the Treasury and Federal Reserve Banks for United States","observation_start":"1914-01-01","observation_end":"1949-05-01","frequency":"Monthly, End of Month","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:34:25-05","popularity":11,"group_popularity":16,"notes":"Series Is Presented Here As Two Variables--(1)--Original Data, 1878-1914 (2)--Original Data, 1914-1949. Data In Original Source Are As Of The First Of The Month, Used Here To Represent The End Of The Preceding Month. Data Represent The Net Monetary Gold, Including Cover For Gold Certificates In The Treasury; Gold Coins Are Included Until January 1934. In December 1927 The Form Of The Circulation Statement Was Changed And Gold Held By Federal Reserve Banks Under Earmark For Foreign Account Was Excluded, And Gold Held Abroad For Federal Reserve Banks Was Included. Data Were Revised By The Federal Reserve Board To Reflect These Changes Back To 1914. Between January 31, 1934 And Febuary 1, 1934, The Gold Stock Was Increased 2.98 Billion Dollars Of Which 2.81 Billion Dollars Was The Increment Resulting From Reduction In The Weight Of The Gold Dollar And The Remainder Was Gold Which Had Been Purchased By The Treasury Previously, But Not Added To The Gold Stock. Source: Computed By NBER Using Data From U.S. Treasury Department Data: Annual Reports Of The Secretary; And Circulation Statements Of U.S. Money.\n\nThis NBER data series m14137b appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14137b"},{"id":"M1437AUSM144NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gold Held in the Treasury and Federal Reserve Banks for United States","observation_start":"1878-06-01","observation_end":"1914-12-01","frequency":"Monthly, End of Month","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:32:04-05","popularity":10,"group_popularity":16,"notes":"Series Is Presented Here As Two Variables--(1)--Original Data, 1878-1914 (2)--Original Data, 1914-1949. Data In Original Source Are As Of The First Of The Month, Used Here To Represent The End Of The Preceding Month. Data Represent The Net Monetary Gold, Including Cover For Gold Certificates In The Treasury; Gold Coins Are Incuded. Source: Computed By NBER Using Data From U.S. Treasury Department Data: Annual Reports Of The Secretary; And Circulation Statements Of U.S. Money.\n\nThis NBER data series m14137a appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14137a"},{"id":"UNRATECTM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Central Tendency, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter, Percent","units_short":"Fourth Qtr., %","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:28-05","popularity":15,"group_popularity":15,"notes":"Projections for the unemployment rate are for the average civilian unemployment rate in the fourth quarter of each year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the midpoint of the central tendency forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DEBTTLCHA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Switzerland","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:37-05","popularity":15,"group_popularity":15,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLINA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for India","observation_start":"1990-01-01","observation_end":"2018-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-12-17 14:11:02-06","popularity":15,"group_popularity":15,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGGHA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Ghana","observation_start":"1965-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:06-05","popularity":15,"group_popularity":15,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLMYA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Malaysia","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:57-05","popularity":14,"group_popularity":14,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGLTU","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Lithuania","observation_start":"1992-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:28-06","popularity":14,"group_popularity":14,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGEST","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Estonia","observation_start":"1993-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:52-05","popularity":14,"group_popularity":14,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGMAR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Morocco","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:55:19-05","popularity":14,"group_popularity":14,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLFRA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for France","observation_start":"1998-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:08-05","popularity":14,"group_popularity":14,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGBEL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Belgium","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:56-05","popularity":14,"group_popularity":14,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI06JPA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Japan","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:04-05","popularity":14,"group_popularity":14,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"FPCPITOTLZGETH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Ethiopia","observation_start":"1966-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:51-05","popularity":13,"group_popularity":13,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGECU","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Ecuador","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:34-05","popularity":13,"group_popularity":13,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGKEN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Kenya","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:08-05","popularity":13,"group_popularity":13,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI02KZA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Kazakhstan","observation_start":"2004-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:46-05","popularity":13,"group_popularity":13,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DEBTTLITA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Italy","observation_start":"1991-01-01","observation_end":"1992-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:57-05","popularity":13,"group_popularity":13,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDDI06CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for China","observation_start":"1985-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:04-05","popularity":13,"group_popularity":13,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDDI03USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Non-Bank Financial Institutions' Assets to GDP for United States","observation_start":"1960-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:04-05","popularity":13,"group_popularity":13,"notes":"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.\n\nClaims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.03"},{"id":"DDSI03USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for United States","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:02-05","popularity":13,"group_popularity":13,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"FPCPITOTLZGNOR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Norway","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:22-05","popularity":13,"group_popularity":13,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGURY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Uruguay","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:38-05","popularity":12,"group_popularity":12,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGBWA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Botswana","observation_start":"1975-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:52-05","popularity":12,"group_popularity":12,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGISR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Israel","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:37-06","popularity":12,"group_popularity":12,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGNLD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Netherlands","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:30-05","popularity":12,"group_popularity":12,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGLKA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Sri Lanka","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:09-05","popularity":12,"group_popularity":12,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGARE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the United Arab Emirates","observation_start":"2008-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:56-05","popularity":12,"group_popularity":12,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLZAA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for South Africa","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:35-05","popularity":12,"group_popularity":12,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGCZE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Czech Republic","observation_start":"1992-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:25-05","popularity":12,"group_popularity":12,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLIDA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Indonesia","observation_start":"1990-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-12-17 14:11:02-06","popularity":11,"group_popularity":11,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"GDPC1RM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Range, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:25-05","popularity":11,"group_popularity":11,"notes":"Projections of real gross domestic product growth are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the midpoint of the range forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGAUT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Austria","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:31-05","popularity":11,"group_popularity":11,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"PCECTPIRH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures Inflation Rate, Range, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:25-05","popularity":11,"group_popularity":11,"notes":"Projections of personal consumption expenditures (PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures (PCEPI). Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the year. This series represents high value of the range forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGHRV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Croatia","observation_start":"1986-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:40-06","popularity":11,"group_popularity":11,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGMUS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Mauritius","observation_start":"1964-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:27-06","popularity":11,"group_popularity":11,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDEI02VNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Viet Nam","observation_start":"1993-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:03-05","popularity":11,"group_popularity":11,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DEBTTLCOA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Colombia","observation_start":"1998-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:45-05","popularity":10,"group_popularity":10,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLKRA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the Republic of Korea","observation_start":"1990-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:41-05","popularity":10,"group_popularity":10,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGSSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Republic of South Sudan","observation_start":"2009-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:24-06","popularity":10,"group_popularity":10,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGISL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Iceland","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:40-06","popularity":10,"group_popularity":10,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGKHM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Cambodia","observation_start":"1995-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:40-06","popularity":10,"group_popularity":10,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGARM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Armenia","observation_start":"1994-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:37-05","popularity":10,"group_popularity":10,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGDZA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Algeria","observation_start":"1970-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:54-05","popularity":10,"group_popularity":10,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGHUN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Hungary","observation_start":"1973-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:07-05","popularity":10,"group_popularity":10,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02THA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Thailand","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:12-05","popularity":10,"group_popularity":10,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGFIN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Finland","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:25-05","popularity":9,"group_popularity":9,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FEDTARCTL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Fed Funds Rate, Central Tendency, Low","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:30-05","popularity":9,"group_popularity":9,"notes":"The projections for the federal funds rate are the value of the midpoint of the projected appropriate target range for the federal funds rate or the projected appropriate target level for the federal funds rate at the end of the specified calendar year or over the longer run. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the low value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"JCXFECTH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures less Food and Energy Inflation Rate, Central Tendency, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:30-05","popularity":9,"group_popularity":9,"notes":"Projections of personal consumption expenditures less food and energy (Core PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Core PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures less food and energy. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the high value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DEBTTLMXA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Mexico","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:44-05","popularity":9,"group_popularity":9,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI02CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for China","observation_start":"2000-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:05-05","popularity":9,"group_popularity":9,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDSI02JPA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Japan","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:06-05","popularity":9,"group_popularity":9,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DEBTTLAUA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Australia","observation_start":"1990-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:45-05","popularity":9,"group_popularity":9,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLBRA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Brazil","observation_start":"2010-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:44-05","popularity":9,"group_popularity":9,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"IPUEN336411U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Aircraft Manufacturing (NAICS 336411) in the United States","observation_start":"1987-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 16:47:27-05","popularity":9,"group_popularity":9,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DEBTTLESA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Spain","observation_start":"1970-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:42-05","popularity":9,"group_popularity":9,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGIRL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Ireland","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:07-05","popularity":9,"group_popularity":9,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLSEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Sweden","observation_start":"1991-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-12-17 14:11:04-06","popularity":9,"group_popularity":9,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGOMN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Oman","observation_start":"2001-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:48-06","popularity":9,"group_popularity":9,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLDEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Germany","observation_start":"1990-01-01","observation_end":"1990-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:36-05","popularity":9,"group_popularity":9,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"IPUEN336411U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Aircraft Manufacturing (NAICS 336411) in the United States","observation_start":"1988-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 16:43:45-05","popularity":1,"group_popularity":9,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDDI02GBA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for United Kingdom","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:11-05","popularity":8,"group_popularity":8,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDSI02GBA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for United Kingdom","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:06-05","popularity":8,"group_popularity":8,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDOI02USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for United States","observation_start":"1960-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:04-05","popularity":8,"group_popularity":8,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"PCECTPICTL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures Inflation Rate, Central Tendency, Low","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:25-05","popularity":8,"group_popularity":8,"notes":"Projections of personal consumption expenditures (PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures (PCEPI). Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the low value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"UNRATERH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Range, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter, Percent","units_short":"Fourth Qtr., %","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:22-05","popularity":8,"group_popularity":8,"notes":"Projections for the unemployment rate are for the average civilian unemployment rate in the fourth quarter of each year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the high value of the range forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DDDI12USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for United States","observation_start":"1960-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:16-05","popularity":8,"group_popularity":8,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"FPCPITOTLZGSRB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Serbia","observation_start":"1995-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:30-05","popularity":8,"group_popularity":8,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDEI02TJA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Tajikistan","observation_start":"2002-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:04-05","popularity":8,"group_popularity":8,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDDI01USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for United States","observation_start":"1960-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:12-05","popularity":8,"group_popularity":8,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"FPCPITOTLZGKAZ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Kazakhstan","observation_start":"1994-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:24-05","popularity":8,"group_popularity":8,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGBOL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Plurinational State of Bolivia","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:49-05","popularity":8,"group_popularity":8,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGDOM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Dominican Republic","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:53-05","popularity":8,"group_popularity":8,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGPRT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Portugal","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:38-06","popularity":8,"group_popularity":8,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02IDA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Indonesia","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:25-05","popularity":8,"group_popularity":8,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDSI02DEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Germany","observation_start":"1998-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:12-05","popularity":8,"group_popularity":8,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGSEN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Senegal","observation_start":"1968-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:39-05","popularity":8,"group_popularity":8,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"M1445AUSM144SNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Deposits, All Commercial Banks for United States","observation_start":"1907-05-01","observation_end":"1945-12-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. Of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2012-08-20 08:33:26-05","popularity":7,"group_popularity":8,"notes":"Series Is Presented Here As Three Variables--(1)--Seasonally Adjusted Data, 1867-1906 (2)--Seasonally Adjusted Data, 1907-1945 (3)--Seasonally Adjusted Data, 1946-1968. Data For June 1914 On Are The Sum Of Series (Time Deposits, All Commercial Banks) And Series (Demand Deposits Adjusted, All Commercial Banks). Source: Data For 1907-May 1914: Friedman And Schwartz, A Monetary History Of The United States, 1867-1960 (NBER, 1963), Table A-1. Data For June 1914-1945: Computed By NBER.\n\nThis NBER data series m14145a appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14145a"},{"id":"FPCPITOTLZGZMB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Zambia","observation_start":"1986-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:37-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGUGA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Uganda","observation_start":"1994-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:29-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLTRA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Turkey","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:32-05","popularity":7,"group_popularity":7,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI02ZAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for South Africa","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:12-05","popularity":7,"group_popularity":7,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGJAM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Jamaica","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:55:18-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGSLE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Sierra Leone","observation_start":"2007-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:33-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLLKA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Sri Lanka","observation_start":"1990-01-01","observation_end":"2015-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:52-05","popularity":7,"group_popularity":7,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGCIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Republic of Cote d'Ivoire","observation_start":"1961-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:30-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGHTI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Haiti","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:56:58-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLSGA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Singapore","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:36-05","popularity":7,"group_popularity":7,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLRUA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the Russian Federation","observation_start":"1998-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:36-05","popularity":7,"group_popularity":7,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI04USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Credit to Bank Deposits for United States","observation_start":"1960-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:03-05","popularity":7,"group_popularity":7,"notes":"The financial resources provided to the private sector by domestic money banks as a share of total deposits. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Total deposits include demand, time and saving deposits in deposit money banks.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d); bank deposits (IFS lines 24 and 25). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.SI.04"},{"id":"FPCPITOTLZGBHS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Bahamas","observation_start":"1967-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:37-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGIRQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Iraq","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:39-06","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGABW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Aruba","observation_start":"1985-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:53-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGBGR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Bulgaria","observation_start":"1986-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:56-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02ESA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Spain","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:09-05","popularity":7,"group_popularity":7,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDSI02MYA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Malaysia","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:19-05","popularity":7,"group_popularity":7,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGPRY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Paraguay","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:11-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02BDA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Bangladesh","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:10-05","popularity":7,"group_popularity":7,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGSLV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for El Salvador","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:30-05","popularity":7,"group_popularity":7,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLTHA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Thailand","observation_start":"1989-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-01-28 19:20:30-06","popularity":6,"group_popularity":6,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLIEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Ireland","observation_start":"1998-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-12-17 14:11:03-06","popularity":6,"group_popularity":6,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI02NGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Nigeria","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:12-05","popularity":6,"group_popularity":6,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGBRN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Brunei Darussalam","observation_start":"1981-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:30-05","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGCOG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Republic of the Congo","observation_start":"1986-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:55-05","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGYEM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Republic of Yemen","observation_start":"1991-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-07-02 14:08:27-05","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"GDPC1RH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Range, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:25-05","popularity":6,"group_popularity":6,"notes":"Projections of real gross domestic product growth are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the value of the range high forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGKGZ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Kyrgyz Republic","observation_start":"1996-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:53-05","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGTCD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Chad","observation_start":"1984-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:33-05","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGCOD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Democratic Republic of the Congo","observation_start":"1964-01-01","observation_end":"2016-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:28-05","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI02USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for United States","observation_start":"1960-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:09-05","popularity":6,"group_popularity":6,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"FPCPITOTLZGGEO","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Georgia","observation_start":"1995-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:12-05","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"M14189USM144NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Free Reserves Held at Federal Reserve Banks, All Member Banks for United States","observation_start":"1929-01-01","observation_end":"1967-04-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:37:42-05","popularity":6,"group_popularity":6,"notes":"Data Are For The Difference Between Excess Reserves And Borrowings, Except For 1940-March 1944, When\"Discounts And Advances\" Are Used Instead Of Borrowings. Data For March 1933 Is Estimated From Wednesday Figures And Call Date Figure, Because No Daily Average Figure Was Available. Data For March 1939-March 1944 Are For Discounts And Advances Deducted From Excess Reserves. Discounts And Advances For Some Nonmember Banks Were Included In These Figures, But They Are Small. Source: Federal Reserve Board, Data For 1929-1939: Banking And Monetary Statistics, 1943, Pp. 396-397. Data For 1940-1967: Federal Reserve Bulletin, Successive Issues.\n\nThis NBER data series m14189 appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14189"},{"id":"IPUEN33641U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Aerospace Product and Parts Manufacturing (NAICS 33641) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:08:31-05","popularity":6,"group_popularity":6,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDSI02AUA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Australia","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:16-05","popularity":6,"group_popularity":6,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGMAC","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Macao","observation_start":"1989-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:31-05","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLSVA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for El Salvador","observation_start":"1998-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:36-05","popularity":6,"group_popularity":6,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"M13012USFRB12M156NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Reserve Bank Discount Rates for Federal Reserve District 12: San Francisco","observation_start":"1914-11-01","observation_end":"1944-11-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:18:55-05","popularity":6,"group_popularity":6,"notes":"Data Are Computed By NBER By Taking Simple Averages Of Rates For Commercial, Agricultural, And Livestock Paper, And Weighting Them By The Number Of Days Each Rate Was In Force. Data Are For All Classes And Maturities Of Discount Bills. Source: Federal Reserve Board, Data For 1914-1922: \"Discount Rates Of Federal Reserve Banks, 1914-1921\", 1922. Data For 1922-1944: Annual Reports Of 1931-1942;\"Banking And Monetary Statistics\", 1931-1935; Federal Reserve Bulletin.\n\nThis NBER data series m13012 appears on the NBER website in Chapter 13 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter13.html.\n\nNBER Indicator: m13012"},{"id":"DEBTTLNZA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for New Zealand","observation_start":"2002-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:57-05","popularity":6,"group_popularity":6,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"GDPC1RL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Range, Low","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:30-05","popularity":6,"group_popularity":6,"notes":"Projections of real gross domestic product growth are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the low value of the range forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"USPCEHOUSUTL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Personal Consumption Expenditures: Services: Housing and Utilities for United States","observation_start":"1997-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-09-26 09:17:26-05","popularity":6,"group_popularity":6,"notes":"A measure of spending on goods and services purchased by, and on behalf of, households based on households' state of residence in the fifty states and the District of Columbia.\n\nSpending on housing and household utilities. Housing consists of the monetary rents paid by tenants for tenant-occupied housing, an imputed rental value for owner-occupied dwellings (measured as the income the homeowner could have received if the house had been rented to a tenant), the rental value of farm dwellings, and spending on group housing. Household utilities consist of water supply and sanitation and electricity and gas.For more information about this release go to http:\/\/www.bea.gov\/newsreleases\/regional\/pce\/pce_newsrelease.htm."},{"id":"UNRATECTL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Central Tendency, Low","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter, Percent","units_short":"Fourth Qtr., %","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:24-05","popularity":6,"group_popularity":6,"notes":"Projections for the unemployment rate are for the average civilian unemployment rate in the fourth quarter of each year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the low value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DDDI02IQA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Iraq","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:20-05","popularity":6,"group_popularity":6,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"FPCPITOTLZGNPL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Nepal","observation_start":"1965-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:38-06","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"UNRATERM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Range, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter, Percent","units_short":"Fourth Qtr., %","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:23-05","popularity":6,"group_popularity":6,"notes":"Projections for the unemployment rate are for the average civilian unemployment rate in the fourth quarter of each year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the midpoint of the range forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"UNRATECTH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Central Tendency, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter, Percent","units_short":"Fourth Qtr., %","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:25-05","popularity":6,"group_popularity":6,"notes":"Projections for the unemployment rate are for the average civilian unemployment rate in the fourth quarter of each year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the high value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGCRI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Costa Rica","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:49-05","popularity":6,"group_popularity":6,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI01IDA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for Indonesia","observation_start":"1980-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:28-05","popularity":6,"group_popularity":6,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"IPUEN33641U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Aerospace Product and Parts Manufacturing (NAICS 33641) in the United States","observation_start":"1988-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:09:02-05","popularity":1,"group_popularity":6,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"FPCPITOTLZGCAF","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Central African Republic","observation_start":"1981-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:49-05","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"GDPC1CTL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Central Tendency, Low","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:31-05","popularity":5,"group_popularity":5,"notes":"Projections of real gross domestic product growth are fourth- quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the low value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DEBTTLPKA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Pakistan","observation_start":"1990-01-01","observation_end":"2000-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-12-19 13:45:39-06","popularity":5,"group_popularity":5,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI02CAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Canada","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:14-05","popularity":5,"group_popularity":5,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGMMR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Myanmar","observation_start":"1960-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-12-19 13:44:47-06","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"CASHBLPKA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Pakistan","observation_start":"1990-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:21-05","popularity":5,"group_popularity":5,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"FPCPITOTLZGGIN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Guinea","observation_start":"2005-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:55:18-05","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGLBN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Lebanon","observation_start":"2009-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:46-06","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLISA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Iceland","observation_start":"1990-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:45-05","popularity":5,"group_popularity":5,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGLBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Liberia","observation_start":"2002-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:37-06","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGGTM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Guatemala","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:40-06","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"JCXFERL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures less Food and Energy Inflation Rate, Range, Low","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:29-05","popularity":5,"group_popularity":5,"notes":"Projections of personal consumption expenditures less food and energy (Core PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Core PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures less food and energy. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the low value of the range forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DDSI02EZA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Euro Area (DISCONTINUED)","observation_start":"1998-01-01","observation_end":"2015-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-08-30 07:49:01-05","popularity":5,"group_popularity":5,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"M1017AUSM144NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"New Corporate Securities Offered for Cash, Proposed Use of Estimated Net Proceeds, Retirement of Securities, All Industries for United States","observation_start":"1934-01-01","observation_end":"1953-12-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-17 15:18:34-05","popularity":5,"group_popularity":5,"notes":"Series Is Presented Here As Two Variables--(1)--Original Data, 1934-1953 (2)--Original Data, 1953-1964. Beginning In 1941, Figures Were Obtained By Deducting \"Other Debt\" From \"Total Debt And Stock.\" \"Other\" Debt Probably Includes Bank Loans And Mortgages, No Definition Is Given. Figures For 1953 Were Obtained From The Survey Of Current Business, February 1954, After Which The Estimates Of Securities Issued For Retirement Were Revised. The 20Th Annual Report Of The Sec (Fiscal Year Ended June 30, 1954) Indicates That A Number Of Amendments To The Securities Laws As Well As Revisions Of Rules Became Effective In That Year, There Is, However, No Explanation For The Change In The Statistics. Source: For 1934-1940 Data: Banking And Monetary Statistics. 1943, Table 138 In The Section Entitled\"Money Rates And Security Markets\"; For 1941-1953 Data: Business Statistics, 1947, The Supplement To The Survey Of Current Business And Subsequent Supplements\n\nThis NBER data series m10117a appears on the NBER website in Chapter 10 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter10.html.\n\nNBER Indicator: m10117a"},{"id":"M14070USM027NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Deposits, Federal Reserve Banks for United States","observation_start":"1914-11-01","observation_end":"1949-04-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. Of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:36:58-05","popularity":5,"group_popularity":5,"notes":"Data Are Monthly Averages Of Daily Figures. Figures For Total Deposits For 1914-1916 Are Not Available, Therefore Figures Presented Are For Net Deposits -- Gross Deposits Including Deferred Availability Accounts Minus Items In Process Of Collection And Other Uncollected Items. The Act Of May 12, 1933 Made All Coins And Currencies In U.S. Legal Tender Eligible For Use As Reserve Against Deposits. Since That Date, Cash Reserves Include Coins And Currency Not Previously Eligible For Such Use (See 1933 Annual Report, P. 94, Table 10). Beginning With 1942, Total Deposits Are No Longer Published On A Daily Average Basis. The Totals Here Have Been Obtained By Adding The Following Components Which Were Available On A Daily Cash Basis -- Member Bank Reserves; Treasury Deposits; Non-Member Deposits (The Sum Of Non-Member Bank Deposits And Deposits Of Government Agencies Of Foreign Banks And Governments. Source: Federal Reserve Board, Data For 1914-1933: Annual Report, 1928, Pp. 50-52; 1932, P. 52; 1933, P. 94. Data For 1934: Frb Bulletin, Successive Monthly Issues. Data For 1935-1941: Banking And Monetary Statistics, 1943, Pp. 349-350. Data For 1942-1949: Frb Bulletins.\n\nThis NBER data series m14070 appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14070"},{"id":"FPCPITOTLZGBFA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Burkina Faso","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:39-05","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDEI02CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for China","observation_start":"1982-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:16-05","popularity":5,"group_popularity":5,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"FPCPITOTLZGCYP","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Cyprus","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:28-05","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI01INA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for India","observation_start":"2004-01-01","observation_end":"2008-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-21 11:21:45-05","popularity":5,"group_popularity":5,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DEBTTLSKA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the Slovak Republic","observation_start":"1998-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:56:59-05","popularity":5,"group_popularity":5,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDAI02NGA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Nigeria","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:07-05","popularity":5,"group_popularity":5,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"FPCPITOTLZGBDI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Burundi","observation_start":"1966-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:39-05","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDOI02CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for China","observation_start":"1985-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:27-05","popularity":5,"group_popularity":5,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\r\n\r\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\r\n\r\nSource Code: GFDD.OI.02"},{"id":"DDSI02RUA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Russian Federation","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:14-05","popularity":5,"group_popularity":5,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDOI02MXA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Mexico","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:01-05","popularity":5,"group_popularity":5,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"DDOI02NGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Nigeria","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:27-05","popularity":5,"group_popularity":5,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"FPCPITOTLZGBHR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Bahrain","observation_start":"1966-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:37-05","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"M13037M156NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Excess of Paris Open Market Discount Rate Over New York Commercial Paper Rate","observation_start":"1876-01-01","observation_end":"1939-09-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:17:58-05","popularity":5,"group_popularity":5,"notes":"Source: Computed By NBER By Subtracting Series 13002 (New York City Commercial Paper Rates) From Series 13017 (Paris Open Market Discount Rate); Paris Data Are From The Economist And The National Monetary Commission; New York Data Are From NBER Files.\n\nThis NBER data series m13037 appears on the NBER website in Chapter 13 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter13.html.\n\nNBER Indicator: m13037"},{"id":"FPCPITOTLZGAZE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Azerbaijan","observation_start":"1992-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:56-05","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02ITA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Italy","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:35-05","popularity":5,"group_popularity":5,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDEI02GBA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for United Kingdom","observation_start":"1980-01-01","observation_end":"1998-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:09-05","popularity":5,"group_popularity":5,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DEBTTLBEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Belgium","observation_start":"1995-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:56:39-05","popularity":5,"group_popularity":5,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"CASHBLJPA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Japan","observation_start":"1972-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"% of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:05-05","popularity":5,"group_popularity":5,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDEI02MNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Mongolia","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:09-05","popularity":5,"group_popularity":5,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"FPCPITOTLZGMNG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Mongolia","observation_start":"1993-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:51-05","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02LBA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Lebanon","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:49-05","popularity":5,"group_popularity":5,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DEBTTLZMA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Zambia","observation_start":"1990-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:56-05","popularity":5,"group_popularity":5,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGMOZ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Mozambique","observation_start":"2005-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:45-06","popularity":5,"group_popularity":5,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"IPUTN722511U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Accommodation and Food Services: Full-Service Restaurants (NAICS 722511) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 15:43:56-05","popularity":4,"group_popularity":5,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"IPUEN3111U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Animal Food Manufacturing (NAICS 3111) in the United States","observation_start":"1988-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:17:43-05","popularity":4,"group_popularity":5,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"IPUTN722511U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Accommodation and Food Services: Full-Service Restaurants (NAICS 722511) in the United States","observation_start":"1988-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 15:43:50-05","popularity":3,"group_popularity":5,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"IPUEN3111U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Animal Food Manufacturing (NAICS 3111) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:17:46-05","popularity":3,"group_popularity":5,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDOI02INA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for India","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:13-05","popularity":4,"group_popularity":4,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"DEBTTLHUA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Hungary","observation_start":"1991-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:54-05","popularity":4,"group_popularity":4,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDDI06GBA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for United Kingdom","observation_start":"1998-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:11-05","popularity":4,"group_popularity":4,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDEI02JOA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Jordan","observation_start":"1997-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:35:09-05","popularity":4,"group_popularity":4,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"FPCPITOTLZGLUX","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Luxembourg","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:38-06","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02AEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for United Arab Emirates","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:25-05","popularity":4,"group_popularity":4,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDDI03THA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Non-Bank Financial Institutions' Assets to GDP for Thailand","observation_start":"2007-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:50-05","popularity":4,"group_popularity":4,"notes":"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.\n\nClaims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.03"},{"id":"DDSI02SGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Singapore","observation_start":"1999-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:35-05","popularity":4,"group_popularity":4,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DEBTTLNLA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Netherlands","observation_start":"1990-01-01","observation_end":"1994-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:42-05","popularity":4,"group_popularity":4,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGALB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Albania","observation_start":"1992-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:31-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02PLA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Poland","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:48-05","popularity":4,"group_popularity":4,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGHND","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Honduras","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:10-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI06SGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Singapore","observation_start":"1965-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:39-05","popularity":4,"group_popularity":4,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"FPCPITOTLZGMDG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Madagascar","observation_start":"1965-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:22-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGMWI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Malawi","observation_start":"1981-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:11-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGTUN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Tunisia","observation_start":"1984-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:38-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGKWT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Kuwait","observation_start":"1973-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:11-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGBLR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Belarus","observation_start":"1993-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:55-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"M1425AUSM144SNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Currency Held by the Public for United States","observation_start":"1907-05-01","observation_end":"1946-12-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2012-08-20 08:33:28-05","popularity":4,"group_popularity":4,"notes":"Series Is Presented Here As Two Variables--(1)--Seasonally Adjusted Data, 1867-1906 (2)--Seasonally Adjusted, 1907-1946 (3)--Original Data, 1947-1968 (4)--Seasonally Adjusted, 1947-1968. Data Represent Vault Cash Of All Banks Subtracted From Currency In Circulation Outside The Treasury And Federal Reserve Banks. Data Are For The Wednesday Nearest The End Of The Month. Source: Friedman And Schwartz, Monetary Statistics Of The United States (NBER, 1970), Table 27, Column 3, Pp. 402-415.\n\nThis NBER data series m14125a appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14125a"},{"id":"FPCPITOTLZGCMR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Cameroon","observation_start":"1969-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:55-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLNOA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Norway","observation_start":"1990-01-01","observation_end":"1994-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-07-04 13:44:45-05","popularity":4,"group_popularity":4,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI07ZAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for South Africa","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:31-05","popularity":4,"group_popularity":4,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"DEBTTLDKA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Denmark","observation_start":"1991-01-01","observation_end":"1994-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-12-17 14:13:31-06","popularity":4,"group_popularity":4,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"CASHBLAUA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Australia","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:11-05","popularity":4,"group_popularity":4,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDSI02TRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Turkey","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:15-05","popularity":4,"group_popularity":4,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGBIH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Bosnia and Herzegovina","observation_start":"2006-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:30-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGPNG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Papua New Guinea","observation_start":"1972-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:34-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI01NGA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Nigeria","observation_start":"2007-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:18-05","popularity":4,"group_popularity":4,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"GDPC1CTH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Central Tendency, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:31-05","popularity":4,"group_popularity":4,"notes":"Projections of real gross domestic product growth are fourth-quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the high value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"FPCPITOTLZGMDA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Republic of Moldova","observation_start":"1992-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:31-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02KRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Republic of Korea","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:25-05","popularity":4,"group_popularity":4,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"USPCEPCHOUSUTL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Per Capita Personal Consumption Expenditures: Services: Housing and Utilities for United States","observation_start":"1997-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Dollars","units_short":"$","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-09-26 09:16:03-05","popularity":4,"group_popularity":4,"notes":"Personal consumption expenditures of a given area divided by the resident population of the area.\n\nSpending on housing and household utilities. Housing consists of the monetary rents paid by tenants for tenant-occupied housing, an imputed rental value for owner-occupied dwellings (measured as the income the homeowner could have received if the house had been rented to a tenant), the rental value of farm dwellings, and spending on group housing. Household utilities consist of water supply and sanitation and electricity and gas.For more information about this release go to http:\/\/www.bea.gov\/newsreleases\/regional\/pce\/pce_newsrelease.htm."},{"id":"FPCPITOTLZGGMB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Republic of the Gambia","observation_start":"1962-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:40-06","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI01BDA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Bangladesh","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:08-05","popularity":4,"group_popularity":4,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DDSI03CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for China","observation_start":"1999-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:13-05","popularity":4,"group_popularity":4,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"CASHBLSEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Sweden","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"% of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:26-05","popularity":4,"group_popularity":4,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"FPCPITOTLZGSVK","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Slovak Republic","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:38-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"JCXFERM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures less Food and Energy Inflation Rate, Range, Midpoint","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:28-05","popularity":4,"group_popularity":4,"notes":"Projections of personal consumption expenditures less food and energy (Core PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Core PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures less food and energy. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the midpoint of the range forecast's high and low values established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DDDI05USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Liquid Liabilities to GDP for United States","observation_start":"1960-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:08-05","popularity":4,"group_popularity":4,"notes":"Ratio of liquid liabilities to GDP. Liquid liabilities are also known as broad money, or M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents.\n\nRatio of liquid liabilities to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is liquid liabilities, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Liquid liabilities (IFS lines 55L..ZF or, if not available, line 35L..ZF); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). For Eurocurrency area countries (BEF, DEM, ESP, FRF, GRD, IEP, ITL, LUF, NLG, ATS, PTE, FIM), liquid liabilities are estimated by summing IFS items 34A, 34B and 35. (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.05"},{"id":"DDDI06THA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Thailand","observation_start":"1960-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:38-05","popularity":4,"group_popularity":4,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDDI01IEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for Ireland","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:28-05","popularity":4,"group_popularity":4,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"DDSI03DEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for Germany","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:47-05","popularity":4,"group_popularity":4,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"DDEI02MYA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Malaysia","observation_start":"1980-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:08-05","popularity":4,"group_popularity":4,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDEI02JPA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Japan","observation_start":"1993-01-01","observation_end":"2017-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:13-05","popularity":4,"group_popularity":4,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"M14072USM156NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Ratio of Reserves to Note and Deposit Liabilities, Federal Reserve Banks for United States","observation_start":"1914-11-01","observation_end":"1948-12-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:31:06-05","popularity":4,"group_popularity":4,"notes":"Ratios Through 1920 Were Computed From Monthly Averages Of Weekly Data For Reserves And Note And Deposit Liabilities. Deposit Liabilities For 1915-June 1917 Were Computed From Items Listed In Weekly Condition Statements. January And February 1921 Reserves Are For $3,300,000, The Average Daily Amount Of Gold Held Abroad By The Federal Reserve Banks. Data For 1921-1948 Are Monthly Averages Of Daily Figures. Source: Federal Reserve Board, Data For 1914-February 1921: Computed By NBER. Data For March 1921-1935: Federal Reserve Bulletins. Data For 1936-1941: Banking And Monetary Statistics. Data For 1942-1948: Unpublished Frb Data.\n\nThis NBER data series m14072 appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14072"},{"id":"CASHBLNZA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for New Zealand","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:35-05","popularity":4,"group_popularity":4,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"FPCPITOTLZGSXM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Sint Maarten","observation_start":"2006-01-01","observation_end":"2017-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-12-19 13:45:32-06","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLPTA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Portugal","observation_start":"1993-01-01","observation_end":"1994-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:50-05","popularity":4,"group_popularity":4,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGSVN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Slovenia","observation_start":"1981-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:33-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI02ZAA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for South Africa","observation_start":"2004-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:23:21-05","popularity":4,"group_popularity":4,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"FPCPITOTLZGLAO","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Lao People's Democratic Republic","observation_start":"1989-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:55:18-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI02IEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Ireland","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:33-05","popularity":4,"group_popularity":4,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"FPCPITOTLZGLSO","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Lesotho","observation_start":"1974-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:55:19-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGCUW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Curacao","observation_start":"2001-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:54-05","popularity":4,"group_popularity":4,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI04IEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Credit to Bank Deposits for Ireland","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:33-05","popularity":4,"group_popularity":4,"notes":"The financial resources provided to the private sector by domestic money banks as a share of total deposits. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Total deposits include demand, time and saving deposits in deposit money banks.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d); bank deposits (IFS lines 24 and 25). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.SI.04"},{"id":"M13056USM193NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"United States Government Securities, Nine to Twelve Month Issues for United States","observation_start":"1943-01-01","observation_end":"1970-11-01","frequency":"Monthly","frequency_short":"M","units":"Percent per Annum","units_short":"% Per Annum","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:17:24-05","popularity":4,"group_popularity":4,"notes":"Data Are For Certificates Of Indebtedness, Selected Notes And Bonds. The Raw Figure For December 1953 (1.61) Is Given Erroneously As 1.53 In The Bulletin Of January 1954, But Has Been Corrected In All Later Sources. Source: Federal Reserve Board, Federal Reserve Bulletins; For 1943-1963 Data Also See The Supplement To Banking And Monetary Statistics, Section 12; And Money Rates And Security Markets, January 1966.\n\nThis NBER data series m13056 appears on the NBER website in Chapter 13 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter13.html.\n\nNBER Indicator: m13056"},{"id":"DEBTTLPHA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the Philippines","observation_start":"1990-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:56:38-05","popularity":4,"group_popularity":4,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDAI02FRA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for France","observation_start":"2004-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:17-05","popularity":4,"group_popularity":4,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"M13035USM156NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Yields on Corporate Bonds, Highest Rating for United States","observation_start":"1919-01-01","observation_end":"1968-12-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:17:22-05","popularity":4,"group_popularity":4,"notes":"Data Refer To Aaa Grade Bonds. Data Were Checked In Part With Annual Averages, In Federal Reserve Bulletins, Annual Reports Of The Federal Reserve Board, And Moody'S Industrials. The Survey Of Current Business Is The Only Source That Publishes The Series In Its Entirety; Moody'S Bond Survey Publishes Only The Daily Data From Which The Monthly Series Is Made Up. Data For 1919-1941 Can Also Be Found In The Federal Reserve Board'S \"Banking And Monetary Statistics\", 1943. Source: U.S. Department Of Commerce, Survey Of Current Business, November 1937, P. 19 And Successive Issues.\n\nThis NBER data series m13035 appears on the NBER website in Chapter 13 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter13.html.\n\nNBER Indicator: m13035"},{"id":"DDEI02MXA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Mexico","observation_start":"1993-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:32:44-05","popularity":4,"group_popularity":4,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DEBTTLNGA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Nigeria","observation_start":"2003-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-05-03 13:05:11-05","popularity":4,"group_popularity":4,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"IPUHN4451U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Retail Trade: Grocery Stores (NAICS 4451) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 16:21:31-05","popularity":3,"group_popularity":4,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"ADJRESSL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Reserves (DISCONTINUED)","observation_start":"1918-01-01","observation_end":"2019-11-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2019-12-20 09:55:01-06","popularity":2,"group_popularity":4,"notes":"Updates of this series will be ceased on December 20, 2019. There is no replacement to this seasonally adjusted series. Interested users can construct a proxy of not seasonally adjusted data as the difference between monetary base from the H.3 release and currency component of M1 from the H.6 release. The discontinued series plotted on the same graph with the calculated data can be accessed for comparison here (https:\/\/fred.stlouisfed.org\/graph\/?g=oJ6e).\nFor more details, see the FRED Announcement (https:\/\/news.research.stlouisfed.org\/2019\/12\/discontinuance-of-st-louis-monetary-base-and-reserves-data\/)."},{"id":"ADJRES","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Reserves (DISCONTINUED)","observation_start":"1984-02-15","observation_end":"2019-12-04","frequency":"Biweekly, Ending Wednesday","frequency_short":"BW","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2019-12-19 15:31:02-06","popularity":1,"group_popularity":4,"notes":"Updates of this series will be ceased on December 19, 2019. There is no replacement to this seasonally adjusted series. Interested users can construct a proxy of not seasonally adjusted data as the difference between monetary base from the H.3 release and currency component of M1 from the H.6 release. The discontinued series plotted on the same graph with the calculated data can be accessed for comparison here (https:\/\/fred.stlouisfed.org\/graph\/?g=oJ5l).\nFor more details, see the FRED Announcement (https:\/\/news.research.stlouisfed.org\/2019\/12\/discontinuance-of-st-louis-monetary-base-and-reserves-data\/)."},{"id":"ADJRESNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Reserves (DISCONTINUED)","observation_start":"1918-01-01","observation_end":"2019-11-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-12-20 09:55:01-06","popularity":1,"group_popularity":4,"notes":"Updates of this series will be ceased on December 20, 2019. Interested users can construct a proxy of the difference between monetary base from the H.3 release and currency component of M1 from the H.6 release. The discontinued series plotted on the same graph with the calculated data can be accessed for comparison here (https:\/\/fred.stlouisfed.org\/graph\/?g=oJ6h).\nFor more details, see the FRED Announcement (https:\/\/news.research.stlouisfed.org\/2019\/12\/discontinuance-of-st-louis-monetary-base-and-reserves-data\/)."},{"id":"ADJRESN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Adjusted Reserves (DISCONTINUED)","observation_start":"1984-02-15","observation_end":"2019-12-04","frequency":"Biweekly, Ending Wednesday","frequency_short":"BW","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-12-19 15:31:02-06","popularity":1,"group_popularity":4,"notes":"Updates of this series will be ceased on December 19, 2019. Interested users can construct a proxy of the difference between the monetary base from the H.3 release and currency component of M1 from the H.6 release. The discontinued series plotted on the same graph with the calculated data can be accessed for comparison here (https:\/\/fred.stlouisfed.org\/graph\/?g=oJ5p).\nFor more details, see the FRED Announcement (https:\/\/news.research.stlouisfed.org\/2019\/12\/discontinuance-of-st-louis-monetary-base-and-reserves-data\/)."},{"id":"IPUHN4451U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Retail Trade: Grocery Stores (NAICS 4451) in the United States","observation_start":"1988-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 16:18:19-05","popularity":1,"group_popularity":4,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"FPCPITOTLZGTZA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the United Republic of Tanzania","observation_start":"1966-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:28-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDEI02GHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Ghana","observation_start":"1980-01-01","observation_end":"1988-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-21 11:21:55-05","popularity":3,"group_popularity":3,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"CASHBLLKA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Sri Lanka","observation_start":"1990-01-01","observation_end":"2012-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:32:51-05","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDDI12NZA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for New Zealand","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:18-05","popularity":3,"group_popularity":3,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"DEBTTLMMA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Myanmar","observation_start":"2001-01-01","observation_end":"2001-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-10-04 09:16:02-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLUAA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Ukraine","observation_start":"1999-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-12-17 14:11:24-06","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI02EGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Egypt","observation_start":"2000-01-01","observation_end":"2015-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:25-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDEI02KGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Kyrgyzstan","observation_start":"1996-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:32:45-05","popularity":3,"group_popularity":3,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDSI03MXA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for Mexico","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:53-05","popularity":3,"group_popularity":3,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"IPUIN493110U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Transportation and Warehousing: General Warehousing and Storage (NAICS 493110) in the United States","observation_start":"1992-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 16:03:25-05","popularity":3,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDDI12STA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Sao Tome and Principe","observation_start":"2009-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:17-05","popularity":3,"group_popularity":3,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"DDAI02NZA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for New Zealand","observation_start":"2004-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:44-05","popularity":3,"group_popularity":3,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDSI02BRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Brazil","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:07-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDAI02GBA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for United Kingdom","observation_start":"2004-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:29-05","popularity":3,"group_popularity":3,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDEI02SEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Sweden","observation_start":"1992-01-01","observation_end":"2006-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:32:43-05","popularity":3,"group_popularity":3,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDDI02DEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Germany","observation_start":"1970-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:21-05","popularity":3,"group_popularity":3,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDAI01PKA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Pakistan","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:07-05","popularity":3,"group_popularity":3,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"CASHBLGRA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Greece","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:09-05","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDDI06CAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Canada","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:09-05","popularity":3,"group_popularity":3,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDEI02LAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Lao People's Democratic Republic","observation_start":"1991-01-01","observation_end":"2010-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:32:44-05","popularity":3,"group_popularity":3,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDDI05IEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Liquid Liabilities to GDP for Ireland","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:02-05","popularity":3,"group_popularity":3,"notes":"Ratio of liquid liabilities to GDP. Liquid liabilities are also known as broad money, or M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents.\n\nRatio of liquid liabilities to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is liquid liabilities, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Liquid liabilities (IFS lines 55L..ZF or, if not available, line 35L..ZF); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). For Eurocurrency area countries (BEF, DEM, ESP, FRF, GRD, IEP, ITL, LUF, NLG, ATS, PTE, FIM), liquid liabilities are estimated by summing IFS items 34A, 34B and 35. (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.05"},{"id":"DDDI08IEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Financial System Deposits to GDP for Ireland","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:35:23-05","popularity":3,"group_popularity":3,"notes":"Demand, time and saving deposits in deposit money banks and other financial institutions as a share of GDP.\n\nDemand, time and saving deposits in deposit money banks and other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Financial system deposits (IFS lines 24, 25, and 45); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.08"},{"id":"JCXFERH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures less Food and Energy Inflation Rate, Range, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:26-05","popularity":3,"group_popularity":3,"notes":"Projections of personal consumption expenditures less food and energy (Core PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Core PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures less food and energy. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year. This series represents the high value of the range forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DDSI02INA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for India","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:09-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"CASHBLFRA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for France","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:21-05","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDDI051WA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Liquid Liabilities to GDP for World (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2015-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-08-30 08:06:19-05","popularity":3,"group_popularity":3,"notes":"Ratio of liquid liabilities to GDP. Liquid liabilities are also known as broad money, or M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents.\n\nRatio of liquid liabilities to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is liquid liabilities, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Liquid liabilities (IFS lines 55L..ZF or, if not available, line 35L..ZF); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). For Eurocurrency area countries (BEF, DEM, ESP, FRF, GRD, IEP, ITL, LUF, NLG, ATS, PTE, FIM), liquid liabilities are estimated by summing IFS items 34A, 34B and 35. (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.05"},{"id":"FPCPITOTLZGAFG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Islamic Republic of Afghanistan","observation_start":"2005-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:39-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI12GHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Ghana","observation_start":"1960-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:31:38-05","popularity":3,"group_popularity":3,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"DDOI02IEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Ireland","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:31:00-05","popularity":3,"group_popularity":3,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"M1303934M156NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Excess of Paris Open Market Discount Rate Over Berlin Open Market Discount Rate for France and Germany","observation_start":"1876-01-01","observation_end":"1939-07-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:17:40-05","popularity":3,"group_popularity":3,"notes":"Source: Computed By NBER By Subtracting Series (Berlin Open Market Discount Rate) From Series (Paris Open Market Discount Rate); Berlin Data Are From Die Reichsbank And Statistiches Jahrbuch Fur Das Deutsche Reich; Paris Data Are From The Economist And The National Monetary Commission.\n\nThis NBER data series m13039 appears on the NBER website in Chapter 13 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter13.html.\n\nNBER Indicator: m13039"},{"id":"DDOI02BDA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Bangladesh","observation_start":"1974-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:20-05","popularity":3,"group_popularity":3,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"FPCPITOTLZGSDN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Sudan","observation_start":"1960-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2023-12-19 13:44:46-06","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI07PAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Panama","observation_start":"2000-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:37-05","popularity":3,"group_popularity":3,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"CASHBLSLA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Sierra Leone","observation_start":"1999-01-01","observation_end":"2011-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-11-21 13:31:03-06","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"FPCPITOTLZGSLB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Solomon Islands","observation_start":"1972-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:39-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDEI08CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Credit to Government and State-Owned Enterprises to GDP for China","observation_start":"1993-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:20-05","popularity":3,"group_popularity":3,"notes":"Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.EI.08"},{"id":"DDEI02BRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Brazil","observation_start":"1997-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:09-05","popularity":3,"group_popularity":3,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"M13011US19100M156NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Reserve Bank Discount Rate for Dallas, TX","observation_start":"1914-11-01","observation_end":"1944-11-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:18:33-05","popularity":3,"group_popularity":3,"notes":"Data Are Computed By NBER By Taking Simple Averages Of Rates For Commercial, Agricultural, And Livestock Paper, And Weighting Them By The Number Of Days Each Rate Was In Force. Data Are For All Classes And Maturities Of Discount Bills. Source: Federal Reserve Board, Data For 1914-1922: \"Discount Rates Of Federal Reserve Banks, 1914-1921\", 1922. Data For 1922-1944: Annual Reports Of 1931-1942;\"Banking And Monetary Statistics\", 1931-1935; Federal Reserve Bulletin.\n\nThis NBER data series m13011 appears on the NBER website in Chapter 13 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter13.html.\n\nNBER Indicator: m13011"},{"id":"DDAI02BDA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Bangladesh","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:29-05","popularity":3,"group_popularity":3,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDDM09BJA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gross Portfolio Equity Assets to GDP for Benin","observation_start":"1999-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:35:14-05","popularity":3,"group_popularity":3,"notes":"Ratio of gross portfolio equity assets to GDP. Equity assets include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity.\n\nRatio of gross portfolio equity assets to GDP. Equity assets include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79ADDZF \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DM.09"},{"id":"DDDI06CHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Switzerland","observation_start":"1960-01-01","observation_end":"2016-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:23:08-05","popularity":3,"group_popularity":3,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDEI08AGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Credit to Government and State-Owned Enterprises to GDP for Antigua and Barbuda","observation_start":"1980-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:31:07-05","popularity":3,"group_popularity":3,"notes":"Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.EI.08"},{"id":"DDSI02FRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for France","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:19-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDEI02TLA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Democratic Republic of Timor-Leste (DISCONTINUED)","observation_start":"2003-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2015-10-02 13:00:26-05","popularity":3,"group_popularity":3,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"CASHBLTRA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Turkey","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:21-05","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"IPUEN33661U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Ship and Boat Building (NAICS 33661) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:08:26-05","popularity":3,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDSI03CAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for Canada","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:18-05","popularity":3,"group_popularity":3,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"CASHBLCLA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Chile","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:21-05","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDDI06VNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Viet Nam","observation_start":"1992-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:38-05","popularity":3,"group_popularity":3,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DEBTTLALA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Albania","observation_start":"1995-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:47-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGGUY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Guyana","observation_start":"1995-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:35-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI01VNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for Viet Nam","observation_start":"1992-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:23-05","popularity":3,"group_popularity":3,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"DEBTTLCDA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the Democratic Republic of the Congo","observation_start":"1990-01-01","observation_end":"2022-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:38-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI02IEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Ireland","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:49-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDSI02HKA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Hong Kong SAR, China","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:35-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDSI02MAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Morocco","observation_start":"1998-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:15-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DEBTTLATA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Austria","observation_start":"1999-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:12-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGTGO","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Togo","observation_start":"1967-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:32-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGFJI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Fiji","observation_start":"1970-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:33-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGSYC","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Seychelles","observation_start":"1971-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:38-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDEI08USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Credit to Government and State-Owned Enterprises to GDP for United States","observation_start":"1980-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:16-05","popularity":3,"group_popularity":3,"notes":"Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.EI.08"},{"id":"DDEI08VNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Credit to Government and State-Owned Enterprises to GDP for Viet Nam","observation_start":"1992-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:31:28-05","popularity":3,"group_popularity":3,"notes":"Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.EI.08"},{"id":"CASHBLRUA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for the Russian Federation","observation_start":"1994-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:06-05","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DEBTTLPEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Peru","observation_start":"1990-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:40-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGMDV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Maldives","observation_start":"1986-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:45-06","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDOI02ARA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Argentina","observation_start":"1960-01-01","observation_end":"2017-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:23:33-05","popularity":3,"group_popularity":3,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"DDSI07NOA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Norway","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:37-05","popularity":3,"group_popularity":3,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"DDSI02GRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Greece","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:19-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGNIC","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Nicaragua","observation_start":"2000-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:39-06","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGGNQ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Equatorial Guinea","observation_start":"1986-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:29-06","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLUYA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Uruguay","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:35-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI02SAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Saudi Arabia","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:18-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDDI02CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for China","observation_start":"1985-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:12-05","popularity":3,"group_popularity":3,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDSI02GHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Ghana","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:35-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDSI02FIA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Finland","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:50-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDDI12ZAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for South Africa","observation_start":"1961-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:47-05","popularity":3,"group_popularity":3,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"DEBTTLUGA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Uganda","observation_start":"2018-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:53-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLFIA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Finland","observation_start":"1990-01-01","observation_end":"1994-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:55-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGWSM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Samoa","observation_start":"1962-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:37-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLCZA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the Czech Republic","observation_start":"1993-01-01","observation_end":"1994-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-12-17 14:13:31-06","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"CASHBLZWA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Zimbabwe","observation_start":"1990-01-01","observation_end":"1997-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-11-21 13:31:03-06","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DEBTTLBHA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Bahrain","observation_start":"1990-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:58-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLJMA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Jamaica","observation_start":"1990-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:54-05","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDAI02INA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for India","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:08-05","popularity":3,"group_popularity":3,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDAI02DEA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Germany","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:17-05","popularity":3,"group_popularity":3,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDSI02KZA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Kazakhstan","observation_start":"2008-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:25-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGBRB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Barbados","observation_start":"1967-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:52-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGTLS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Democratic Republic of Timor-Leste","observation_start":"2003-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:33-05","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDEI08SAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Credit to Government and State-Owned Enterprises to GDP for Saudi Arabia","observation_start":"1980-01-01","observation_end":"2017-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:31:29-05","popularity":3,"group_popularity":3,"notes":"Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.EI.08"},{"id":"CASHBLARA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Argentina","observation_start":"2002-01-01","observation_end":"2004-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:05-05","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDSI07BRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Brazil","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:15-05","popularity":3,"group_popularity":3,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"DDDI02NGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Nigeria","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:26-05","popularity":3,"group_popularity":3,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDEI02IDA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Indonesia","observation_start":"1990-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:32:45-05","popularity":3,"group_popularity":3,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDSI02ROA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Romania (DISCONTINUED)","observation_start":"2003-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2015-10-02 13:08:09-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDAI02PLA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Poland","observation_start":"2004-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:44-05","popularity":3,"group_popularity":3,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"JCXFECTL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures less Food and Energy Inflation Rate, Central Tendency, Low","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:30-05","popularity":3,"group_popularity":3,"notes":"Projections of personal consumption expenditures less food and energy (Core PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. Core PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures less food and energy. Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the low value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DDSI07SGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Singapore","observation_start":"1999-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:36-05","popularity":3,"group_popularity":3,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"DDAI01SAA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Saudi Arabia","observation_start":"2004-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:23:06-05","popularity":3,"group_popularity":3,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DEBTTLPLA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Poland","observation_start":"1994-01-01","observation_end":"1994-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-01-19 15:11:02-06","popularity":3,"group_popularity":3,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"CASHBLNOA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Norway","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:26-05","popularity":3,"group_popularity":3,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDSI03JPA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for Japan","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:10-05","popularity":3,"group_popularity":3,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"DDDI03IDA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Non-Bank Financial Institutions' Assets to GDP for Indonesia","observation_start":"2009-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:50-05","popularity":3,"group_popularity":3,"notes":"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.\n\nClaims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.03"},{"id":"DDDI01INA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for India","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:28-05","popularity":3,"group_popularity":3,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"DDSI03GBA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for United Kingdom","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:18-05","popularity":3,"group_popularity":3,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"FPCPITOTLZGKIR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Kiribati","observation_start":"2007-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:48-06","popularity":3,"group_popularity":3,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI06ZAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for South Africa","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:19-05","popularity":3,"group_popularity":3,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDEI02PHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Philippines","observation_start":"1980-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:43-05","popularity":3,"group_popularity":3,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDSI02PKA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Pakistan","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:15-05","popularity":3,"group_popularity":3,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDDI03SAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Non-Bank Financial Institutions' Assets to GDP for Saudi Arabia","observation_start":"1968-01-01","observation_end":"2017-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:23:39-05","popularity":3,"group_popularity":3,"notes":"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.\n\nClaims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.03"},{"id":"DDSI04CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Credit to Bank Deposits for China","observation_start":"1985-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:23-05","popularity":3,"group_popularity":3,"notes":"The financial resources provided to the private sector by domestic money banks as a share of total deposits. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Total deposits include demand, time and saving deposits in deposit money banks.\r\n\r\nRaw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d); bank deposits (IFS lines 24 and 25). (International Monetary Fund, International Financial Statistics)\r\n\r\nSource Code: GFDD.SI.04"},{"id":"DDOI02JPA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Japan","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:13-05","popularity":3,"group_popularity":3,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"DDSI07THA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Thailand","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:32-05","popularity":3,"group_popularity":3,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"DDDI06IDA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Indonesia","observation_start":"1980-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:41-05","popularity":3,"group_popularity":3,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"IPUTN72251AU121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Accommodation and Food Services: Limited-Service Eating Places (NAICS 72251A) in the United States","observation_start":"1988-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 15:39:03-05","popularity":2,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"IPUTN72251AU120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Accommodation and Food Services: Limited-Service Eating Places (NAICS 72251A) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 15:43:24-05","popularity":2,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"IPUEN311U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Food Manufacturing (NAICS 311) in the United States","observation_start":"1988-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:16:55-05","popularity":2,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"IPUEN311U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Food Manufacturing (NAICS 311) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:16:49-05","popularity":2,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"M1475BUSM027SNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Adjusted Demand Deposits, All Banks, Total Time Deposits, Plus Currency Held by the Public for United States","observation_start":"1947-01-01","observation_end":"1966-09-01","frequency":"Monthly, Middle of Month","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2012-08-20 08:34:58-05","popularity":2,"group_popularity":3,"notes":"Series Is Presented Here As Three Variables--(1)--Seasonally Adjusted Data, 1867-1906 (2)--Seasonally Adjusted Data, 1907-1946 (3)--Seasonally Adjusted Data, 1947-1966. Data Are The Sum Of Series (Adjusted Demand Deposits, Time Deposits, All Commercial Banks, Plus Currency Held By The Public) And (Deposits In Mutual Savings Banks And Postal Savings System). Source: Friedman And Schwartz, A Monetary History Of The United States, 1867-1960 (NBER, 1963).\n\nThis NBER data series m14175b appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14175b"},{"id":"IPUHN445110U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Retail Trade: Supermarkets and Other Grocery (Except Convenience) Stores (NAICS 445110) in the United States","observation_start":"1988-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 16:22:12-05","popularity":2,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"IPUIN493110U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Transportation and Warehousing: General Warehousing and Storage (NAICS 493110) in the United States","observation_start":"1993-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 16:05:41-05","popularity":1,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"IPUEN33661U121000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Ship and Boat Building (NAICS 33661) in the United States","observation_start":"1988-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent Change from Year Ago","units_short":"% Chg. from Yr. Ago","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:08:27-05","popularity":1,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"M1475FUSM027NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"All Other Loans, Reporting Member Banks, Federal Reserve System for United States","observation_start":"1937-06-01","observation_end":"1941-12-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. Of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:34:55-05","popularity":1,"group_popularity":3,"notes":"Series Is Presented Here As Two Variables--(1)--Original Data, 1919-1938 (2)--Original Data, 1937-1941. Data Were Derived By Adding Commercial, Industrial, And Agricultural Loans, Open-Market Paper, Real Estate Loans, And Loans To Banks. Source: Federal Reserve Board, Banking And Monetary Statistics.\n\nThis NBER data series m14075b appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14075b"},{"id":"M1475AUSM027SNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Adjusted Demand Deposits, All Banks, Total Time Deposits, Plus Currency Held by the Public for United States","observation_start":"1907-05-01","observation_end":"1946-12-01","frequency":"Monthly, End of Month","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2012-08-20 08:34:14-05","popularity":1,"group_popularity":3,"notes":"Series Is Presented Here As Three Variables--(1)--Seasonally Adjusted Data, 1867-1906 (2)--Seasonally Adjusted Data, 1907-1946 (3)--Seasonally Adjusted Data, 1947-1966. Data Are The Sum Of Series (Adjusted Demand Deposits, Time Deposits, All Commercial Banks, Plus Currency Held By The Public) And (Deposits In Mutual Savings Banks And Postal Savings System). Source: Friedman And Schwartz, A Monetary History Of The United States, 1867-1960 (NBER, 1963).\n\nThis NBER data series m14175a appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14175a"},{"id":"IPUHN445110U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Retail Trade: Supermarkets and Other Grocery (Except Convenience) Stores (NAICS 445110) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 16:19:24-05","popularity":1,"group_popularity":3,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DEBTTLETA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Ethiopia","observation_start":"1990-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:57-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI02CHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Switzerland","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:50-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGGAB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Gabon","observation_start":"1963-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:55:18-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"CASHBLGBA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for the United Kingdom","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:13-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDDI12INA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for India","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:17-05","popularity":2,"group_popularity":2,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"FPCPITOTLZGJOR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Jordan","observation_start":"1970-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:58:39-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI06AUA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Australia","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:32-05","popularity":2,"group_popularity":2,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DEBTTLVUA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Vanuatu","observation_start":"1990-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:34-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDEI02PAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Panama","observation_start":"1996-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:32:43-05","popularity":2,"group_popularity":2,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"CASHBLCAA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Canada","observation_start":"1990-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-10-26 16:11:06-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDOI02VNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Viet Nam","observation_start":"1992-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:39-05","popularity":2,"group_popularity":2,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"DDEI02CAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Canada","observation_start":"1980-01-01","observation_end":"2017-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:43-05","popularity":2,"group_popularity":2,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDAI02VNA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Viet Nam","observation_start":"2008-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:36:28-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDSI02SEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Sweden","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:15-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGSUR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Suriname","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:33-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDEI02ITA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Italy","observation_start":"1996-01-01","observation_end":"2004-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-10-21 14:50:39-05","popularity":2,"group_popularity":2,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"M13010US33460M156NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Reserve Bank Discount Rates for Minneapolis, MN","observation_start":"1914-11-01","observation_end":"1944-11-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:17:19-05","popularity":2,"group_popularity":2,"notes":"Data Are Computed By NBER By Taking Simple Averages Of Rates For Commercial, Agricultural, And Livestock Paper, And Weighting Them By The Number Of Days Each Rate Was In Force. Data Are For All Classes And Maturities Of Discount Bills. Source: Federal Reserve Board, Data For 1914-1922: \"Discount Rates Of Federal Reserve Banks, 1914-1921\", 1922. Data For 1922-1944: Annual Reports Of 1931-1942;\"Banking And Monetary Statistics\", 1931-1935; Federal Reserve Bulletin.\n\nThis NBER data series m13010 appears on the NBER website in Chapter 13 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter13.html.\n\nNBER Indicator: m13010"},{"id":"DDEI02AEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for United Arab Emirates","observation_start":"1999-01-01","observation_end":"2001-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-10-21 14:50:27-05","popularity":2,"group_popularity":2,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDAI01SGA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Singapore","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:14-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DDDI05IRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Liquid Liabilities to GDP for Islamic Republic of Iran","observation_start":"1960-01-01","observation_end":"2016-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:23-05","popularity":2,"group_popularity":2,"notes":"Ratio of liquid liabilities to GDP. Liquid liabilities are also known as broad money, or M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents.\n\nRatio of liquid liabilities to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is liquid liabilities, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Liquid liabilities (IFS lines 55L..ZF or, if not available, line 35L..ZF); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). For Eurocurrency area countries (BEF, DEM, ESP, FRF, GRD, IEP, ITL, LUF, NLG, ATS, PTE, FIM), liquid liabilities are estimated by summing IFS items 34A, 34B and 35. (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.05"},{"id":"DDOI02TRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Turkey","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:00-05","popularity":2,"group_popularity":2,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"DDDI01ITA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for Italy","observation_start":"1963-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:27-05","popularity":2,"group_popularity":2,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"DDSI02MXA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Mexico","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:48-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGVCT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Saint Vincent and the Grenadines","observation_start":"1975-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:38-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGSYR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the Syrian Arab Republic","observation_start":"1960-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-12-17 14:13:29-06","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI12NGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Nigeria","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:18-05","popularity":2,"group_popularity":2,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"M14065USM144NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Notes in Circulation, Federal Reserve Banks for United States","observation_start":"1914-11-01","observation_end":"1949-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:37:11-05","popularity":2,"group_popularity":2,"notes":"Data For 1914-1941 Represent Monthly Averages Of Daily Figures; Data For 1942-1949 Are Averages Of Wednesday Figures, For Weeks Ending On The First, Second, Or Third Of The Month Data Were Added To The Preceeding Month. An Act Of May 12, 1933 Made All Coins And Currencies Of The United States Legal Tender And Eligible For Use As Reserve Against Such Deposits. Since That Date, Therefore, Cash Reserves Include Coins And Currency Not Previously Eligible For Such Use. For Comparative Purposes, Revised Figures Are Given In The 1933 Annual Report, Table 10, P. 94. Source: Federal Reserve Board, Data For 1914-1933: Annual Report Of The Frb, 1928, Pp. 50-52; 1932, P. 52; 1933, P. 94, Table 9410. Data For 1934: Federal Reserve Bulletin, Successive Monthly Issues. Data For 1935-1941: Banking And Monetary Statistics. Data For 1942-1949: Frb Bulletin.\n\nThis NBER data series m14065 appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14065"},{"id":"DEBTTLBYA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Belarus","observation_start":"1992-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-09-19 14:08:38-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDDI02PHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Philippines","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:18-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DEBTTLBSA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the Bahamas","observation_start":"1990-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:44-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDDI12NLA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Netherlands","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:35:18-05","popularity":2,"group_popularity":2,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"DEBTTLBBA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Barbados","observation_start":"2005-01-01","observation_end":"2016-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:56-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDAI01THA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Thailand","observation_start":"2006-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:34-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DDAI02LVA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Latvia","observation_start":"2004-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:17-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"CASHBLPLA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Poland","observation_start":"1994-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:32:50-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDSI07ECA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Ecuador","observation_start":"1998-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:39-05","popularity":2,"group_popularity":2,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"IPUEN3366U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Ship and Boat Building (NAICS 3366) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:08:35-05","popularity":2,"group_popularity":2,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDAI02EGA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Egypt","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:47-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDSI03PKA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for Pakistan","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:17-05","popularity":2,"group_popularity":2,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"DDSI02PTA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Portugal","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:25-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDDI02IDA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Indonesia","observation_start":"1980-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:20-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"WDDSL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Demand Deposits (DISCONTINUED)","observation_start":"1975-01-06","observation_end":"2021-02-01","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-02-24 13:57:30-06","popularity":2,"group_popularity":2,"notes":"WDDNS (https:\/\/fred.stlouisfed.org\/series\/WDDNS), and the seasonally adjusted monthly series is DEMDEPSL (https:\/\/fred.stlouisfed.org\/series\/DEMDEPSL).\n\nStarting on February 23, 2021, the H.6 statistical release is now published at a monthly frequency and contains only monthly average data needed to construct the monetary aggregates. Weekly average, non-seasonally adjusted data will continue to be made available, while weekly average, seasonally adjusted data will no longer be provided. For further information about the changes to the H.6 statistical release, see the announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) provided by the source.\n\nThe demand deposits component of M1 is defined as demand deposits at domestically chartered commercial banks, U.S. branches and agencies of foreign banks, and Edge Act corporations (excluding those amounts held by depository institutions, the U.S. government, and foreign banks and official institutions) less cash items in the process of collection (CIPC) and Federal Reserve float. CIPC and Federal Reserve float are substracted from the demand deposit component of M1 in order to avoid double counting deposits that are simultaneously on the books of two depository institutions. Demand deposits due to the public and CIPC are reported on the FR 2900 and, for institutions that do not file the FR 2900, are estimated using data reported on the Call Reports. Demand deposits held by foreign banks and foreign official institutions are estimated using data reported on the Call Reports. Federal Reserve float is obtained from the consolidated balance sheet of the Federal Reserve Banks, which is published each week in the Federal Reserve Board's H.4.1 statistical release.\n\n#For questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"DDDI02JPA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Japan","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:26-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"FPCPITOTLZGMKD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for the former Yugoslav Republic of Macedonia","observation_start":"1994-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:23-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI12COA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Colombia","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:17-05","popularity":2,"group_popularity":2,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"RPNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Overnight and Term RPs (DISCONTINUED)","observation_start":"1970-01-01","observation_end":"2006-03-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2006-10-24 14:39:35-05","popularity":2,"group_popularity":2,"notes":"Repurchase Agreements. For details, please see http:\/\/www.federalreserve.gov\/releases\/h6\/hist\/.\nOn March 23, 2006, the Board of Governors of the Federal Reserve System ceased publication of the M3 monetary aggregate and its components. For more information, please, refer to http:\/\/www.federalreserve.gov\/releases\/h6\/discm3.htm."},{"id":"IPUSN713910U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Arts, Entertainment, and Recreation: Golf Courses and Country Clubs (NAICS 713910) in the United States","observation_start":"2002-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 15:44:55-05","popularity":2,"group_popularity":2,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDAI02CAA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Canada","observation_start":"2006-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:29-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDAI01GEA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Georgia","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:50-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"FPCPITOTLZGTTO","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Trinidad and Tobago","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:32-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"IPUEN3251U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Basic Chemical Manufacturing (NAICS 3251) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:13:38-05","popularity":2,"group_popularity":2,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDAI02MNA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Mongolia","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:45-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"M14071DEM369NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Average Monthly Berlin Rates of Exchange on Paris for Germany","observation_start":"1876-01-01","observation_end":"1939-07-01","frequency":"Monthly","frequency_short":"M","units":"Marks per 100 Francs","units_short":"Marks per 100 Francs","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:37:35-05","popularity":2,"group_popularity":2,"notes":"Monthly Average Quotations Were Computed By NBER From Daily Averages Published In The Deutscher Reichsanzeiger, For 1876-1884. Thereafter, Monthly Averages Were Computed By The Statistiches Reichsamt. Data Refer To Eight Day Drafts. An Alternative Source For 1888-1907 Is The National Monetary Commission, Publications, Vol. 21, Pp. 251-255. Source: Data For 1876-1884 And 1910-July 1914: Deutscher Reichsanzeiger. Data For 1885-1894: Vierteljahrshefte Zur Statistik Des Deutschen Reich, 1895, Vol. Ii, P. 95. Data For 1895-1909: Statistiches Jahrbuch Fur Das Deutsche Reich, 1896 And Following Years. Data For 1925-October 1935: Konjunktur-Statistiches Handbuch, 1936. Data For November 1935-1939: Vierteljahrshefte Zur Konjunktur-Torschung.\n\nThis NBER data series m14071 appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14071"},{"id":"DDEI02THA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Thailand","observation_start":"1980-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:08-05","popularity":2,"group_popularity":2,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"DDAI01GHA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Ghana","observation_start":"2005-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:18-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DDSI02NOA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Norway","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:48-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"CASHBLDEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Germany","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:18-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"FPCPITOTLZGMLT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Malta","observation_start":"1960-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:56:58-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI06DEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Germany","observation_start":"1970-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:21-05","popularity":2,"group_popularity":2,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"FPCPITOTLZGBEN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Benin","observation_start":"1993-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:38-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI01BRA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Brazil","observation_start":"2004-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:30-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DDAI02JPA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Japan","observation_start":"2004-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:29-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDAI02NLA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Netherlands","observation_start":"2004-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:44-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDSI07JPA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Japan","observation_start":"1998-01-01","observation_end":"2009-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:15-05","popularity":2,"group_popularity":2,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"CASHBL1WA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for the World","observation_start":"1990-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:36-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDEI08CLA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Credit to Government and State-Owned Enterprises to GDP for Chile","observation_start":"1980-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:31:05-05","popularity":2,"group_popularity":2,"notes":"Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.EI.08"},{"id":"DDDM09USA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gross Portfolio Equity Assets to GDP for United States","observation_start":"1999-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:31:58-05","popularity":2,"group_popularity":2,"notes":"Ratio of gross portfolio equity assets to GDP. Equity assets include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity.\n\nRatio of gross portfolio equity assets to GDP. Equity assets include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79ADDZF \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DM.09"},{"id":"FPCPITOTLZGDJI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Djibouti","observation_start":"1980-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:27-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI05IDA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Liquid Liabilities to GDP for Indonesia","observation_start":"1969-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:02-05","popularity":2,"group_popularity":2,"notes":"Ratio of liquid liabilities to GDP. Liquid liabilities are also known as broad money, or M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents.\n\nRatio of liquid liabilities to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is liquid liabilities, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Liquid liabilities (IFS lines 55L..ZF or, if not available, line 35L..ZF); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). For Eurocurrency area countries (BEF, DEM, ESP, FRF, GRD, IEP, ITL, LUF, NLG, ATS, PTE, FIM), liquid liabilities are estimated by summing IFS items 34A, 34B and 35. (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.05"},{"id":"DEBTTLHKA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Hong Kong SAR, China","observation_start":"2002-01-01","observation_end":"2009-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2016-04-18 13:29:27-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI03DKA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for Denmark","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:47-05","popularity":2,"group_popularity":2,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"DDDI06ILA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Israel","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:41-05","popularity":2,"group_popularity":2,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDDI02CHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Switzerland","observation_start":"1960-01-01","observation_end":"2016-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:24:56-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDSI04SAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Credit to Bank Deposits for Saudi Arabia","observation_start":"1968-01-01","observation_end":"2017-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:21-05","popularity":2,"group_popularity":2,"notes":"The financial resources provided to the private sector by domestic money banks as a share of total deposits. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Total deposits include demand, time and saving deposits in deposit money banks.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d); bank deposits (IFS lines 24 and 25). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.SI.04"},{"id":"FPCPITOTLZGNAM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Namibia","observation_start":"2003-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:55:16-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI02EEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Estonia","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:50-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"FPCPITOTLZGATG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Antigua and Barbuda","observation_start":"1999-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:49-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGCPV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Cape Verde","observation_start":"1984-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:25-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI01TRA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Turkey","observation_start":"2005-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:49-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DDDM09ITA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gross Portfolio Equity Assets to GDP for Italy","observation_start":"1999-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:45-05","popularity":2,"group_popularity":2,"notes":"Ratio of gross portfolio equity assets to GDP. Equity assets include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity.\n\nRatio of gross portfolio equity assets to GDP. Equity assets include shares, stocks, participation, and similar documents (such as American depository receipts) that usually denote ownership of equity. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79ADDZF \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DM.09"},{"id":"CASHBLHNA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Honduras","observation_start":"1972-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:32:52-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDSI02ARA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Argentina","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:51-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDAI01MYA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Malaysia","observation_start":"2013-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:09-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DEBTTLBGA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Bulgaria","observation_start":"1998-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"% of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:55:17-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"FPCPITOTLZGCYM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Cayman Islands","observation_start":"2010-01-01","observation_end":"2016-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:29-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDDI03JPA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Non-Bank Financial Institutions' Assets to GDP for Japan","observation_start":"2001-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:33-05","popularity":2,"group_popularity":2,"notes":"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.\n\nClaims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.03"},{"id":"DDDI02INA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for India","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:20-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDSI07BWA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Botswana","observation_start":"2000-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:35:09-05","popularity":2,"group_popularity":2,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"DDDI01CIA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for Cote d'Ivoire","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:27-05","popularity":2,"group_popularity":2,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"DDSI02ALA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Albania","observation_start":"2003-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:51-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDSI03FRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for France","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:49-05","popularity":2,"group_popularity":2,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"DDAI02LAA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Lao People's Democratic Republic","observation_start":"2008-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:46-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"IPUMN54133U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Professional, Scientific, and Technical Services: Engineering Services (NAICS 54133) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 15:51:13-05","popularity":2,"group_popularity":2,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDDI06CVA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Cape Verde","observation_start":"1976-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:33:40-05","popularity":2,"group_popularity":2,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDOI02UGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Uganda","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:30:57-05","popularity":2,"group_popularity":2,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"IPUBN21211U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Mining: Coal Mining (NAICS 21211) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 17:51:45-05","popularity":2,"group_popularity":2,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDDI06GQA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Equatorial Guinea","observation_start":"1985-01-01","observation_end":"2019-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:48-05","popularity":2,"group_popularity":2,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDDI08MYA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Financial System Deposits to GDP for Malaysia","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:45-05","popularity":2,"group_popularity":2,"notes":"Demand, time and saving deposits in deposit money banks and other financial institutions as a share of GDP.\n\nDemand, time and saving deposits in deposit money banks and other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Financial system deposits (IFS lines 24, 25, and 45); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.08"},{"id":"DDEI02DEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Germany","observation_start":"1996-01-01","observation_end":"2003-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2019-10-21 14:50:09-05","popularity":2,"group_popularity":2,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"FPCPITOTLZGMRT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Mauritania","observation_start":"1986-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:58:38-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"CASHBLBRA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Brazil","observation_start":"1990-01-01","observation_end":"2012-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:27-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDDI02NLA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Netherlands","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:18-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDDI01TRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for Turkey","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:24-05","popularity":2,"group_popularity":2,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"IPUEN3315U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Foundries (NAICS 3315) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:11:23-05","popularity":2,"group_popularity":2,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDDI01FRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for France","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:29-05","popularity":2,"group_popularity":2,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"DDDI02ISA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Iceland","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:26-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDDI12LVA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Latvia","observation_start":"1995-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:19-05","popularity":2,"group_popularity":2,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"DEBTTLEEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Estonia","observation_start":"1998-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:10-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"IPUMN54194U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Professional, Scientific, and Technical Services: Veterinary Services (NAICS 54194) in the United States","observation_start":"2004-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-03 15:54:48-05","popularity":2,"group_popularity":2,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDSI07SAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Saudi Arabia","observation_start":"1999-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:36-05","popularity":2,"group_popularity":2,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"CASHBLCHA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Switzerland","observation_start":"1980-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:27-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"CASHBLITA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Italy","observation_start":"1973-01-01","observation_end":"2014-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:35-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDDI06EZA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Euro Area (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2015-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-08-30 08:05:47-05","popularity":2,"group_popularity":2,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"DDDI02SGA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Singapore","observation_start":"1963-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:51-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDEI08AOA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Credit to Government and State-Owned Enterprises to GDP for Angola","observation_start":"1995-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:31:07-05","popularity":2,"group_popularity":2,"notes":"Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.EI.08"},{"id":"PCECTPIRL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures Inflation Rate, Range, Low","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:29-05","popularity":2,"group_popularity":2,"notes":"Projections of personal consumption expenditures (PCE) inflation rate are fourth quarter growth rates, that is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures (PCEPI). Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the year. This series represents the low value of the range forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DDEI02PEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Lending Deposit Spread for Peru","observation_start":"1992-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:32:43-05","popularity":2,"group_popularity":2,"notes":"Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. Difference between lending rate and deposit rate. Lending rate is the rate charged by banks on loans to the private sector and deposit interest rate is the rate offered by commercial banks on three-month deposits. IFS line 60P - line 60L. (International Monetary Fund, International Financial Statistics.\n\nSource Code: GFDD.EI.02"},{"id":"CASHBLCNA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for China","observation_start":"2002-01-01","observation_end":"2006-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-10-26 16:11:04-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDAI02ETA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Ethiopia","observation_start":"2004-01-01","observation_end":"2012-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:17-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDDM10BEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Gross Portfolio Debt Liabilities to GDP for Belgium","observation_start":"1999-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:35:12-05","popularity":2,"group_popularity":2,"notes":"Ratio of gross portfolio debt liabilities to GDP. Debt liabilities cover (1) bonds, debentures, notes, etc., and (2) money market or negotiable debt instruments.\n\nRatio of gross portfolio debt liabilities to GDP. Debt liabilities cover (1) bonds, debentures, notes, etc., and (2) money market or negotiable debt instruments. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 79AEDZF \/ GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DM.10"},{"id":"DDDI02CAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Canada","observation_start":"1960-01-01","observation_end":"2008-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2022-03-23 16:23:39-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DEBTTLEGA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for the Arab Republic of Egypt","observation_start":"2007-01-01","observation_end":"2007-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-09-17 17:14:26-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDSI02HRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Croatia","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:50-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDSI02LTA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Lithuania","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:49-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"USGVDDNS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"U.S. Government Demand Deposits and Note Balances - Total (DISCONTINUED)","observation_start":"1959-01-01","observation_end":"2021-01-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2021-02-11 15:33:10-06","popularity":2,"group_popularity":2,"notes":"This series has been discontinued and will no longer be updated. Starting on February 23, 2021, the H.6 statistical release is now published at a monthly frequency and contains only monthly average data needed to construct the monetary aggregates, thereby eliminating the release of data on institutional money funds and memorandum items on U.S. government deposits and deposits due to foreign banks and foreign official institutions. For further information about the changes to the H.6 Statistical Release, see the announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) provided by the source.\n\nU.S. Government demand deposits at commercial banks plus note balances at depository institutions. Calculated by the Federal Reserve Bank of St. Louis."},{"id":"DDSI07CHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Switzerland","observation_start":"2002-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:40-05","popularity":2,"group_popularity":2,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"DDSI02LVA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Latvia","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:49-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDDI01DEA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for Germany","observation_start":"1970-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:07-05","popularity":2,"group_popularity":2,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"DDDI04TRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to Deposit Money Bank Assets and Central Bank Assets for Turkey","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:06-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of sum of deposit money bank and Central Bank claims on domestic nonfinancial real sector. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nRaw data are from the electronic version of the IMF's International Financial Statistics. IFS lines 12 and 22, a-d). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.04"},{"id":"DDDI02MYA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Malaysia","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:19-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DEBTTLLTA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Lithuania","observation_start":"1998-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:11-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLKEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Kenya","observation_start":"1998-01-01","observation_end":"1999-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-07-07 17:01:12-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"PCECTPICTH","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"FOMC Summary of Economic Projections for the Personal Consumption Expenditures Inflation Rate, Central Tendency, High","observation_start":"2026-01-01","observation_end":"2028-01-01","frequency":"Annual","frequency_short":"A","units":"Fourth Quarter to Fourth Quarter Percent Change","units_short":"Fourth Qtr. to Fourth Qtr. % Chg.","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-17 14:09:29-05","popularity":2,"group_popularity":2,"notes":"Projections of personal consumption expenditures (PCE) inflation rate are fourth-quarter growth rates, hat is, percentage changes from the fourth quarter of the prior year to the fourth quarter of the indicated year. The PCE inflation rate is the percentage rates of change in the price index for personal consumption expenditures (PCEPI). Each participant's projections are based on his or her assessment of appropriate monetary policy. The range for each variable in a given year includes all participants' projections, from lowest to highest, for that variable in the given year; the central tendencies exclude the three highest and three lowest projections for each year. This series represents the high value of the central tendency forecast established by the Federal Open Market Committee.\n\nDigitized originals of this release can be found at https:\/\/fraser.stlouisfed.org\/publication\/?pid=677."},{"id":"DDDI01JPA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for Japan","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:27-05","popularity":2,"group_popularity":2,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"DDOI02EZA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Euro Area (DISCONTINUED)","observation_start":"1960-01-01","observation_end":"2015-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-08-29 13:03:51-05","popularity":2,"group_popularity":2,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"DDDI03ZAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Non-Bank Financial Institutions' Assets to GDP for South Africa","observation_start":"1961-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:24-05","popularity":2,"group_popularity":2,"notes":"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.\n\nClaims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.03"},{"id":"DDAI01SYA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Syrian Arab Republic","observation_start":"2008-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:18-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DDDI02EZA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Euro Area (DISCONTINUED)","observation_start":"1973-01-01","observation_end":"2015-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-08-30 08:06:41-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"FPCPITOTLZGNER","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Niger","observation_start":"1964-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:55:16-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"FPCPITOTLZGBLZ","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Belize","observation_start":"1981-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:38-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDSI03AUA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for Australia","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:46-05","popularity":2,"group_popularity":2,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"DDOI02CIA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Cote d'Ivoire","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:31:03-05","popularity":2,"group_popularity":2,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"DDOI02ZAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for South Africa","observation_start":"1965-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:00-05","popularity":2,"group_popularity":2,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"CASHBLBDA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Bangladesh","observation_start":"2001-01-01","observation_end":"2011-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:11-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDDI05KHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Liquid Liabilities to GDP for Cambodia","observation_start":"1993-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:01-05","popularity":2,"group_popularity":2,"notes":"Ratio of liquid liabilities to GDP. Liquid liabilities are also known as broad money, or M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements (M2), plus travelers checks, foreign currency time deposits, commercial paper, and shares of mutual funds or market funds held by residents.\n\nRatio of liquid liabilities to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is liquid liabilities, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Liquid liabilities (IFS lines 55L..ZF or, if not available, line 35L..ZF); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). For Eurocurrency area countries (BEF, DEM, ESP, FRF, GRD, IEP, ITL, LUF, NLG, ATS, PTE, FIM), liquid liabilities are estimated by summing IFS items 34A, 34B and 35. (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.05"},{"id":"DDAI01AMA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Armenia","observation_start":"2004-01-01","observation_end":"2011-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-21 11:27:05-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"DDSI03ZAA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Capital to Total Assets for South Africa","observation_start":"1999-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:27:58-05","popularity":2,"group_popularity":2,"notes":"Ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.\n\nRatio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries' banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets. Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.03"},{"id":"CASHBLSVA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for El Salvador","observation_start":"1998-01-01","observation_end":"2013-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:32:49-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDSI02CYA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Cyprus","observation_start":"2008-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:50-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDSI02PHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Philippines","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:35-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDAI01ETA642NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Accounts for Ethiopia","observation_start":"2006-01-01","observation_end":"2012-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 1,000 adults","units_short":"Number per 1,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:07-05","popularity":2,"group_popularity":2,"notes":"Number of depositors with commercial banks per 1,000 adults.\n\nFor each type of institution calculated as: (reported number of depositors)*1,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.01"},{"id":"CASHBLINA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for India","observation_start":"1990-01-01","observation_end":"2012-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:21-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"IPUEN332U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Fabricated Metal Product Manufacturing (NAICS 332) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:10:12-05","popularity":2,"group_popularity":2,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"FPCPITOTLZGBTN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Bhutan","observation_start":"1981-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:55-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLGEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Georgia","observation_start":"1995-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-12-17 15:23:43-06","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DEBTTLJOA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Jordan","observation_start":"1990-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:54-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDDI06KRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central Bank Assets to GDP for Republic of Korea","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:20-05","popularity":2,"group_popularity":2,"notes":"Ratio of central bank assets to GDP. Central bank assets are claims on domestic real nonfinancial sector by the Central Bank.\n\nClaims on domestic real nonfinancial sector by the Central Bank as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is Central Bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Central Bank claims (IFS lines 12, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.06"},{"id":"IPUEN3254U120000000","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Hourly Compensation for Manufacturing: Pharmaceutical and Medicine Manufacturing (NAICS 3254) in the United States","observation_start":"1987-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Index 2017=100","units_short":"Index 2017=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 10:13:15-05","popularity":2,"group_popularity":2,"notes":"Hourly compensation is the sum of wage and salary accruals and supplements to wages and salaries per hour of labor services used to produce output. Wage and salary accruals consist of the monetary remuneration of employees. Supplements to wages and salaries consist of employer contributions for social insurance and employer payments (including payments in kind) to private pension and profit-sharing plans, group health and life insurance plans, privately administered workers' compensation plans."},{"id":"DDAI02SKA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Slovakia","observation_start":"2004-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:43-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DEBTTLLVA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Latvia","observation_start":"1994-01-01","observation_end":"1994-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-04-16 13:53:12-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDOI02MYA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Deposits to GDP for Malaysia","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:30:59-05","popularity":2,"group_popularity":2,"notes":"The total value of demand, time and saving deposits at domestic deposit money banks as a share of GDP. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nDemand, time and saving deposits in deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is demand and time and saving deposits, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Bank deposits (IFS lines 24 and 25); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.OI.02"},{"id":"DDDI12VNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for Viet Nam","observation_start":"1992-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:17-05","popularity":2,"group_popularity":2,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"DDDI01CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks to GDP for China","observation_start":"1985-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:07-05","popularity":2,"group_popularity":2,"notes":"The financial resources provided to the private sector by domestic money banks as a share of GDP. Domestic money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits. Private credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks (IFS line 22d and FOSAOP); GDP in local currency (IFS line NGDP); end-of period CPI (IFS line PCPI); and average annual CPI is calculated using the monthly CPI values (IFS line PCPI). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.01"},{"id":"DEBTTLBDA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Bangladesh","observation_start":"2001-01-01","observation_end":"2003-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-07-07 16:53:19-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDDI12CNA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Private Credit by Deposit Money Banks and Other Financial Institutions to GDP for China","observation_start":"1985-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:31-05","popularity":2,"group_popularity":2,"notes":"Private credit by deposit money banks and other financial institutions to GDP.\n\nPrivate credit by deposit money banks and other financial institutions to GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is credit to the private sector, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Private credit by deposit money banks and other financial institutions (IFS lines 22d and 42d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics)\n\nSource Code: GFDD.DI.12"},{"id":"DEBTTLSMA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for San Marino","observation_start":"2002-01-01","observation_end":"2023-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:39-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"M13017FR00PARM156NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Discount Rate, Open Market for Paris, France","observation_start":"1863-01-01","observation_end":"1939-09-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:18:22-05","popularity":2,"group_popularity":2,"notes":"Data For 1863-1888 And 1909-1914 Were Computed By NBER On The Number Of Fridays In Each Month; 1889-February 1905 On The Number Of Thursdays; March 1905-1908 On The Number Of Saturdays. Data For November 1870-July 1871 Were Unavailable Because Of The Franco-Prussian War. Data For August 1870, And February, July, And August Of 1872 Are Based On Three Weeks Only. Data For October 1870, December 1871, And January 1872 Are Based On Two Weeks. The Figure For August 1871 Is Based On One Week Only. Data For 1934-1939 Are For \"Prime Banker'S Acceptances\". Source: Data For 1863-1888 And 1909-1914: Computed By NBER From Weekly Data In The Economist. Data For 1889-1908: National Monetary Commission, \"Statistics For Great Britain, Germany, And France, 1867-1909\", Vol. 21, Pp. 315-316. Data For 1925-1939: Annual Reports Of The Federal Reserve Board, 1926, P. 218 And Following.\n\nThis NBER data series m13017 appears on the NBER website in Chapter 13 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter13.html.\n\nNBER Indicator: m13017"},{"id":"CASHBLMXA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Mexico","observation_start":"1990-01-01","observation_end":"2000-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:11-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDSI02NLA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Bank Non-Performing Loans to Gross Loans for Netherlands","observation_start":"1998-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:48-05","popularity":2,"group_popularity":2,"notes":"Ratio of defaulting loans (payments of interest and principal past due by 90 days or more) to total gross loans (total value of loan portfolio). The loan amount recorded as nonperforming includes the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.\n\nReported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.02"},{"id":"DDAI02HKA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Hong Kong SAR, China","observation_start":"2004-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:29-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDDI02MXA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Mexico","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:19-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDDI03PHA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Non-Bank Financial Institutions' Assets to GDP for Philippines","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:28:08-05","popularity":2,"group_popularity":2,"notes":"Total assets held by financial institutions that do not accept transferable deposits but that perform financial intermediation by accepting other types of deposits or by issuing securities or other liabilities that are close substitutes for deposits as a share of GDP. It covers institutions such as saving and mortgage loan institutions, post-office savings institution, building and loan associations, finance companies that accept deposits or deposit substitutes, development banks, and offshore banking institutions. Assets include claims on domestic real nonfinancial sector such as central-, state- and local government, nonfinancial public enterprises and private sector.\n\nClaims on domestic real nonfinancial sector by other financial institutions as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is other financial institutions' claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Non-bank financial institutions assets (IFS lines 42, a-d and h); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.03"},{"id":"M14002DEM368NNBR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Average Monthly Berlin Rates of Exchange on New York for Germany","observation_start":"1887-03-01","observation_end":"1914-07-01","frequency":"Monthly","frequency_short":"M","units":"Marks per 100 Dollars","units_short":"Marks per 100 $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2012-08-20 08:34:51-05","popularity":2,"group_popularity":2,"notes":"Data Are For Exchange Rates Quoted At The Berlin Exchange Beginning March 17, 1887. Data Are For Monthly Average Computed From Daily Average Quotations Published In The \"Reichinanzeiger\", Sight Draft. Data For 1888-1907 Can Also Be Found In National Monetary Commission Publications, Vol. 21, Pp. 251-255. Source: Data For 1887-1894: Viertelsjahrshefte Zur Statistik Das Deutschen Reiches, 1895, Vol. Ii, P. 9. Data For 1895-1914: Statistiches Jahrbuch Fur Deutsche Reich, 1896 And Following Issues.\n\nThis NBER data series m14002 appears on the NBER website in Chapter 14 at http:\/\/www.nber.org\/databases\/macrohistory\/contents\/chapter14.html.\n\nNBER Indicator: m14002"},{"id":"FPCPITOTLZGTON","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for Tonga","observation_start":"1976-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-30 15:13:29-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DDAI02IRA643NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Number of Bank Branches for Islamic Republic of Iran","observation_start":"2004-01-01","observation_end":"2018-01-01","frequency":"Annual","frequency_short":"A","units":"Number per 100,000 adults","units_short":"Number per 100,000 adults","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:46-05","popularity":2,"group_popularity":2,"notes":"Number of commercial bank branches per 100,000 adults.\n\nFor each type of reporting institution calculated as:(number of institutions + number of branches)*100,000\/adult population in the reporting country. (International Monetary Fund, Financial Access Survey)\n\nSource Code: GFDD.AI.02"},{"id":"DDDI02AUA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Australia","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:22-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DEBTTLMNA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Mongolia","observation_start":"1992-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-14 20:11:57-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"CASHBLVEA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Cash surplus\/deficit (% of GDP) for Venezuela","observation_start":"1990-01-01","observation_end":"2005-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-09-27 13:31:12-05","popularity":2,"group_popularity":2,"notes":"Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is closest to the earlier overall budget balance (still missing is lending minus repayments, which are now a financing item under net acquisition of financial assets).\n\nWorld Bank sources: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.BAL.CASH.GD.ZS"},{"id":"DDDI02FRA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for France","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:34:20-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI. Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"},{"id":"DDSI07FIA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Provisions to Non-Performing Loans for Finland","observation_start":"2001-01-01","observation_end":"2020-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:29:39-05","popularity":2,"group_popularity":2,"notes":"Provisions to non-performing loans. Non-performing loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days).\n\nProvisions to non-performing loans. Non-performing Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries. (International Monetary Fund, Global Financial Stability Report)\n\nSource Code: GFDD.SI.07"},{"id":"WLFOL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Liabilities: Deposits with F.R. Banks, Other Than Reserve Balances: Foreign Official (DISCONTINUED)","observation_start":"2002-12-18","observation_end":"2018-06-13","frequency":"Weekly, As of Wednesday","frequency_short":"W","units":"Millions of Dollars","units_short":"Mil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2018-06-14 15:41:08-05","popularity":2,"group_popularity":2,"notes":"This series has been discontinued and will no longer be updated. It was a duplicate of the following series, which will continue to be updated: https:\/\/fred.stlouisfed.org\/series\/WDFOL\n\n\nForeign official deposits are balances of foreign central banks and monetary authorities, foreign governments, and other foreign official institutions with accounts at FRBNY. These balances usually are relatively small because the accounts do not bear interest. While transactions in these accounts are handled by FRBNY for balance sheet purposes, the deposits are allocated across all of the Reserve Banks based on each Reserve Bank's capital and surplus."},{"id":"FPCPITOTLZGLCA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Inflation, consumer prices for St. Lucia","observation_start":"1966-01-01","observation_end":"2024-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2025-07-02 13:56:58-05","popularity":2,"group_popularity":2,"notes":"Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.\n\nInternational Monetary Fund, International Financial Statistics and data files."},{"id":"DEBTTLZWA188A","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Central government debt, total (% of GDP) for Zimbabwe","observation_start":"1990-01-01","observation_end":"1997-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of GDP","units_short":"% of GDP","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2017-07-07 16:55:58-05","popularity":2,"group_popularity":2,"notes":"Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is the gross amount of government liabilities reduced by the amount of equity and financial derivatives held by the government. Because debt is a stock rather than a flow, it is measured as of a given date, usually the last day of the fiscal year.\n\nWorld Bank Source: International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.\n\nSource Indicator: GC.DOD.TOTL.GD.ZS"},{"id":"DDDI02THA156NWDB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Deposit Money Bank Assets to GDP for Thailand","observation_start":"1960-01-01","observation_end":"2021-01-01","frequency":"Annual","frequency_short":"A","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2024-05-07 15:33:57-05","popularity":2,"group_popularity":2,"notes":"Total assets held by deposit money banks as a share of GDP. Assets include claims on domestic real nonfinancial sector which includes central, state and local governments, nonfinancial public enterprises and private sector. Deposit money banks comprise commercial banks and other financial institutions that accept transferable deposits, such as demand deposits.\n\nClaims on domestic real nonfinancial sector by deposit money banks as a share of GDP, calculated using the following deflation method: {(0.5)*[Ft\/P_et + Ft-1\/P_et-1]}\/[GDPt\/P_at] where F is deposit money bank claims, P_e is end-of period CPI, and P_a is average annual CPI Raw data are from the electronic version of the IMF's International Financial Statistics. Deposit money bank assets (IFS lines 22, a-d); GDP in local currency (IFS line 99B..ZF or, if not available, line 99B.CZF); end-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF); and annual CPI (IFS line 64..ZF). (International Monetary Fund, International Financial Statistics, and World Bank GDP estimates)\n\nSource Code: GFDD.DI.02"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-search/monetary_page2.json b/tests/fixtures/corpus/series-search/monetary_page2.json new file mode 100644 index 0000000..a5facd5 --- /dev/null +++ b/tests/fixtures/corpus/series-search/monetary_page2.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"search_rank","sort_order":"desc","count":23602,"offset":5,"limit":5,"seriess":[{"id":"M2V","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Velocity of M2 Money Stock","observation_start":"1959-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Ratio","units_short":"Ratio","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-25 07:56:19-05","popularity":81,"group_popularity":81,"notes":"Calculated as the ratio of quarterly nominal GDP (https:\/\/fred.stlouisfed.org\/series\/GDP) to the quarterly average of M2 money stock (https:\/\/fred.stlouisfed.org\/series\/M2SL).\r\n\r\nThe velocity of money is the frequency at which one unit of currency is used to purchase domestically- produced goods and services within a given time period. In other words, it is the number of times one dollar is spent to buy goods and services per unit of time. If the velocity of money is increasing, then more transactions are occurring between individuals in an economy.\r\nThe frequency of currency exchange can be used to determine the velocity of a given component of the money supply, providing some insight into whether consumers and businesses are saving or spending their money. There are several components of the money supply,: M1, M2, and MZM (M3 is no longer tracked by the Federal Reserve); these components are arranged on a spectrum of narrowest to broadest. Consider M1, the narrowest component. M1 is the money supply of currency in circulation (notes and coins, traveler's checks [non-bank issuers], demand deposits, and checkable deposits). A decreasing velocity of M1 might indicate fewer short- term consumption transactions are taking place. We can think of shorter- term transactions as consumption we might make on an everyday basis.\r\n\r\nBeginning May 2020, M2 consists of M1 plus (1) small-denomination time deposits (time deposits in amounts of less than $100,000) less IRA and Keogh balances at depository institutions; and (2) balances in retail MMFs less IRA and Keogh balances at MMFs. Seasonally adjusted M2 is constructed by summing savings deposits (before May 2020), small-denomination time deposits, and retail MMFs, each seasonally adjusted separately, and adding this result to seasonally adjusted M1. For more information on the H.6 release changes and the regulatory amendment that led to the creation of the other liquid deposits component and its inclusion in the M1 monetary aggregate, see the H.6 announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\r\n\r\n\r\nMZM (money with zero maturity) is the broadest component and consists of the supply of financial assets redeemable at par on demand: notes and coins in circulation, traveler's checks (non-bank issuers), demand deposits, other checkable deposits, savings deposits, and all money market funds. The velocity of MZM helps determine how often financial assets are switching hands within the economy."},{"id":"M1SL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M1","observation_start":"1959-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-23 12:01:20-05","popularity":79,"group_popularity":81,"notes":"announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"},{"id":"USAMABMM301GYSAM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2026-04-01","frequency":"Monthly","frequency_short":"M","units":"Growth rate same period previous year","units_short":"Growth rate same period previous Yr.","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 15:39:15-05","popularity":22,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: GY\nFREQ: M\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"MABMM301USA657S","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Monetary Aggregates and Their Components: Broad Money and Components: M3 for United States","observation_start":"1960-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Growth rate previous period","units_short":"Growth rate previous period","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-15 15:51:28-05","popularity":12,"group_popularity":63,"notes":"OECD Data Filters: \nREF_AREA: USA\nMEASURE: MABM\nUNIT_MEASURE: GR\nACTIVITY: _Z\nADJUSTMENT: Y\nTRANSFORMATION: G1\nFREQ: A\n\nAll OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https:\/\/data-explorer.oecd.org\/ (https:\/\/data-explorer.oecd.org\/). (accessed on (date))."},{"id":"WM1NS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"M1","observation_start":"1981-01-05","observation_end":"2026-06-01","frequency":"Weekly, Ending Monday","frequency_short":"W","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-23 12:01:16-05","popularity":61,"group_popularity":81,"notes":"announcements (https:\/\/www.federalreserve.gov\/feeds\/h6.html) and Technical Q&As (https:\/\/www.federalreserve.gov\/releases\/h6\/h6_technical_qa.htm) posted on December 17, 2020.\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-search/unemployment_filter-monthly.json b/tests/fixtures/corpus/series-search/unemployment_filter-monthly.json new file mode 100644 index 0000000..25b115a --- /dev/null +++ b/tests/fixtures/corpus/series-search/unemployment_filter-monthly.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","filter_variable":"frequency","filter_value":"Monthly","order_by":"search_rank","sort_order":"desc","count":19173,"offset":0,"limit":5,"seriess":[{"id":"UNRATE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Unemployment Rate","observation_start":"1948-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-07-02 08:31:40-05","popularity":97,"group_popularity":97,"notes":"The unemployment rate represents the number of unemployed as a percentage of the labor force. Labor force data are restricted to people 16 years of age and older, who currently reside in 1 of the 50 states or the District of Columbia, who do not reside in institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces.\r\n\r\nThis rate is also defined as the U-3 measure of labor underutilization.\r\n\r\nThe series comes from the 'Current Population Survey (Household Survey)'\r\n\r\nThe source code is: LNS14000000"},{"id":"UNRATENSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Unemployment Rate","observation_start":"1948-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 08:31:40-05","popularity":56,"group_popularity":97,"notes":"The unemployment rate represents the number of unemployed as a percentage of the labor force. Labor force data are restricted to people 16 years of age and older, who currently reside in 1 of the 50 states or the District of Columbia, who do not reside in institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces.\n\nThis rate is also defined as the U-3 measure of labor underutilization.\n\nThe series comes from the 'Current Population Survey (Household Survey)'\n\nThe source code is: LNU04000000"},{"id":"UNEMPLOY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Unemployment Level","observation_start":"1948-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Persons","units_short":"Thous. of Persons","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-07-02 08:31:34-05","popularity":69,"group_popularity":70,"notes":"The series comes from the 'Current Population Survey (Household Survey)'\r\nThe source code is: LNS13000000\r\n\r\nThe Unemployment Level is the aggregate measure of people currently unemployed in the US. Someone in the labor force is defined as unemployed if they were not employed during the survey reference week, were available for work, and made at least one active effort to find a job during the 4-week survey period. \r\n\r\nThe Unemployment Level is collected in the CPS and published by the BLS. It is provided on a monthly basis, so this data is used in part by macroeconomists as an initial economic indicator of current trends. The Unemployment Level helps government agencies, financial markets, and researchers gauge the overall health of the economy.\r\n\r\nNote that individuals that are not employed but not actively looking for a job are not counted as unemployed. For instance, declines in the Unemployment Level may either reflect movements of unemployed individuals into the labor force because they found a job, or movements of unemployed individuals out of the labor force because they stopped looking to find a job.\r\n\r\n\r\nFor more information, see:\r\nU.S. Bureau of Labor Statistics, CES Overview (https:\/\/www.bls.gov\/web\/empsit\/cesprog.htm)\r\nU.S. Bureau of Labor Statistics, BLS Handbook of Methods: Chapter 2. Employment, Hours, and Earnings from the Establishment Survey (https:\/\/www.bls.gov\/opub\/hom\/pdf\/ces-20110307.pdf)"},{"id":"U6RATE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Unemployed, Plus All Persons Marginally Attached to the Labor Force, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Persons Marginally Attached to the Labor Force (U-6)","observation_start":"1994-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-07-02 08:31:35-05","popularity":74,"group_popularity":74,"notes":"The series comes from the 'Current Population Survey (Household Survey)'\n\nThe source code is: LNS13327709"},{"id":"U6RATENSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Unemployed, Plus All Persons Marginally Attached to the Labor Force, Plus Total Employed Part Time for Economic Reasons, as a Percent of the Civilian Labor Force Plus All Persons Marginally Attached to the Labor Force (U-6)","observation_start":"1994-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 08:31:41-05","popularity":22,"group_popularity":74,"notes":"The series comes from the 'Current Population Survey (Household Survey)'\n\nThe source code is: LNU03327709"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-tags/DGS10.json b/tests/fixtures/corpus/series-tags/DGS10.json new file mode 100644 index 0000000..eb97936 --- /dev/null +++ b/tests/fixtures/corpus/series-tags/DGS10.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_count","sort_order":"asc","count":13,"offset":0,"limit":1000,"tags":[{"name":"10-year","group_id":"gen","notes":"","created":"2012-02-27 10:18:19-06","popularity":53,"series_count":218},{"name":"h15","group_id":"rls","notes":"H.15 Selected Interest Rates","created":"2012-08-16 15:21:17-05","popularity":56,"series_count":288},{"name":"interest rate","group_id":"gen","notes":"","created":"2012-05-29 10:14:19-05","popularity":69,"series_count":1582},{"name":"treasury","group_id":"gen","notes":"","created":"2012-02-27 10:18:19-06","popularity":61,"series_count":2924},{"name":"interest","group_id":"gen","notes":"","created":"2012-02-27 10:18:19-06","popularity":70,"series_count":2978},{"name":"maturity","group_id":"gen","notes":"","created":"2012-02-27 10:18:19-06","popularity":55,"series_count":3538},{"name":"daily","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":71,"series_count":11378},{"name":"rate","group_id":"gen","notes":"","created":"2012-02-27 10:18:19-06","popularity":83,"series_count":47204},{"name":"frb","group_id":"src","notes":"Board of Governors","created":"2012-02-27 10:18:19-06","popularity":79,"series_count":65832},{"name":"nation","group_id":"geot","notes":"","created":"2012-02-27 10:18:19-06","popularity":98,"series_count":281602},{"name":"public domain: citation requested","group_id":"cc","notes":null,"created":"2018-12-17 23:33:13-06","popularity":99,"series_count":618454},{"name":"usa","group_id":"geo","notes":"United States of America","created":"2012-02-27 10:18:19-06","popularity":100,"series_count":672280},{"name":"nsa","group_id":"seas","notes":"Not Seasonally Adjusted","created":"2012-02-27 10:18:19-06","popularity":100,"series_count":749990}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-tags/GNPCA_by-name.json b/tests/fixtures/corpus/series-tags/GNPCA_by-name.json new file mode 100644 index 0000000..7a755a7 --- /dev/null +++ b/tests/fixtures/corpus/series-tags/GNPCA_by-name.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_count","sort_order":"asc","count":10,"offset":0,"limit":1000,"tags":[{"name":"gnp","group_id":"gen","notes":"Gross National Product","created":"2012-02-27 10:18:19-06","popularity":28,"series_count":274},{"name":"nipa","group_id":"rls","notes":"National Income and Product Accounts","created":"2012-08-16 15:21:17-05","popularity":69,"series_count":12746},{"name":"real","group_id":"gen","notes":"","created":"2012-02-27 10:18:19-06","popularity":74,"series_count":33946},{"name":"gdp","group_id":"gen","notes":"Gross Domestic Product","created":"2012-02-27 10:18:19-06","popularity":80,"series_count":74496},{"name":"bea","group_id":"src","notes":"Bureau of Economic Analysis","created":"2012-02-27 10:18:19-06","popularity":79,"series_count":78424},{"name":"nation","group_id":"geot","notes":"","created":"2012-02-27 10:18:19-06","popularity":98,"series_count":280566},{"name":"annual","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":92,"series_count":492538},{"name":"public domain: citation requested","group_id":"cc","notes":null,"created":"2018-12-17 23:33:13-06","popularity":99,"series_count":617326},{"name":"usa","group_id":"geo","notes":"United States of America","created":"2012-02-27 10:18:19-06","popularity":100,"series_count":671620},{"name":"nsa","group_id":"seas","notes":"Not Seasonally Adjusted","created":"2012-02-27 10:18:19-06","popularity":100,"series_count":749254}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-updates/RECENT_WINDOW.json b/tests/fixtures/corpus/series-updates/RECENT_WINDOW.json new file mode 100644 index 0000000..ec36c18 --- /dev/null +++ b/tests/fixtures/corpus/series-updates/RECENT_WINDOW.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","filter_variable":"geography","filter_value":"all","order_by":"last_updated","sort_order":"desc","count":155456,"offset":0,"limit":10,"seriess":[{"id":"CBETHUSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Coinbase Ethereum","observation_start":"2016-05-18","observation_end":"2026-07-04","frequency":"Daily, 7-Day","frequency_short":"D","units":"U.S. Dollars","units_short":"U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-04 19:06:23-05","popularity":49,"notes":"All data is as of 5 PM PST. \n\nCopyright, 2018, Coinbase. \n\nReproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase."},{"id":"CBBTCUSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Coinbase Bitcoin","observation_start":"2014-12-01","observation_end":"2026-07-04","frequency":"Daily, 7-Day","frequency_short":"D","units":"U.S. Dollars","units_short":"U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-04 19:06:23-05","popularity":74,"notes":"All data is as of 5 PM PST. \n\nCopyright, 2018, Coinbase. \n\nReproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase."},{"id":"CBBCHUSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Coinbase Bitcoin Cash","observation_start":"2017-12-20","observation_end":"2026-07-04","frequency":"Daily, 7-Day","frequency_short":"D","units":"U.S. Dollars","units_short":"U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-04 19:06:23-05","popularity":23,"notes":"All data is as of 5 PM PST. \n\nCopyright, 2018, Coinbase. \n\nReproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase."},{"id":"CBLTCUSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Coinbase Litecoin","observation_start":"2016-08-17","observation_end":"2026-07-04","frequency":"Daily, 7-Day","frequency_short":"D","units":"U.S. Dollars","units_short":"U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-04 19:06:23-05","popularity":18,"notes":"All data is as of 5 PM PST. \n\nCopyright, 2018, Coinbase. \n\nReproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase."},{"id":"USRECDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"NBER based Recession Indicators for the United States from the Peak through the Trough","observation_start":"1854-12-01","observation_end":"2026-07-02","frequency":"Daily, 7-Day","frequency_short":"D","units":"+1 or 0","units_short":"+1 or 0","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 18:02:25-05","popularity":35,"notes":"This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http:\/\/www.nber.org\/cycles\/cyclesmain.html. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. Our time series is composed of dummy variables that represent periods of expansion and recession. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins on the 15th day of the month of the peak and ends on the 15th day of the month of the trough. This time series is a disaggregation of the monthly series. For more options on recession shading, see the note and links below.\n\nThe recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.\n\nThe first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. The midpoint method is used for this series.\n\nThe second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. A version of this time series represented using the trough method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECD\n\nThe third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. A version of this time series represented using the peak method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECDP"},{"id":"USRECD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"NBER based Recession Indicators for the United States from the Period following the Peak through the Trough","observation_start":"1854-12-01","observation_end":"2026-07-02","frequency":"Daily, 7-Day","frequency_short":"D","units":"+1 or 0","units_short":"+1 or 0","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 18:02:24-05","popularity":43,"notes":"This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http:\/\/www.nber.org\/cycles\/cyclesmain.html. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. Our time series is composed of dummy variables that represent periods of expansion and recession. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins on the 15th day of the month of the peak and ends on the 15th day of the month of the trough. This time series is a disaggregation of the monthly series. For more options on recession shading, see the note and links below.\n\nThe recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.\n\nThe first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. A version of this time series represented using the midpoint method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECDM\n\nThe second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. The midpoint method is used for this series.\n\nThe third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. A version of this time series represented using the peak method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECDP"},{"id":"USRECDP","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"NBER based Recession Indicators for the United States from the Peak through the Period preceding the Trough","observation_start":"1854-12-01","observation_end":"2026-07-02","frequency":"Daily, 7-Day","frequency_short":"D","units":"+1 or 0","units_short":"+1 or 0","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 18:02:23-05","popularity":28,"notes":"This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http:\/\/www.nber.org\/cycles\/cyclesmain.html. Our time series is composed of dummy variables that represent periods of expansion and recession. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins the first day of the period of the peak and ends on the last day of the period before the trough. For more options on recession shading, see the notes and links below.\n\nThe recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.\n\nThe first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. A version of this time series represented using the midpoint method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECDM\n\nThe second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. A version of this time series represented using the trough method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECD\n\nThe third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. The peak method is used for this series."},{"id":"STLENI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Fed Economic News Index: Real GDP Nowcast","observation_start":"2013-04-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"Percent Change at Annual Rate","units_short":"% Chg. at Annual Rate","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 15:19:12-05","popularity":65,"notes":"St. Louis Fed\u2019s Economic News Index (ENI) uses economic content from key monthly economic data releases to forecast the growth of real GDP during that quarter. In general, the most-current observation is revised multiple times throughout the quarter. The final forecasted value (before the BEA\u2019s release of the advance estimate of GDP) is the static, historical value for that quarter. For more information, see Grover, Sean P.; Kliesen, Kevin L.; and McCracken, Michael W.: A Macroeconomic News Index for Constructing Nowcasts of U.S. Real Gross Domestic Product Growth (https:\/\/fraser.stlouisfed.org\/title\/review-federal-reserve-bank-st-louis-820\/fourth-quarter-2016-620800?page=18)."},{"id":"DAUTONSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic Autos","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:14-05","popularity":12,"notes":"Autos are all passenger cars, including station wagons. Domestic sales are all United States (U.S.) sales of vehicles assembled in the U.S., Canada, and Mexico."},{"id":"LAUTONSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic and Foreign Autos","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:14-05","popularity":14}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-updates/default.json b/tests/fixtures/corpus/series-updates/default.json new file mode 100644 index 0000000..8bacfac --- /dev/null +++ b/tests/fixtures/corpus/series-updates/default.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","filter_variable":"geography","filter_value":"all","order_by":"last_updated","sort_order":"desc","count":155456,"offset":0,"limit":1000,"seriess":[{"id":"KCFSI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Kansas City Financial Stress Index","observation_start":"1990-02-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 14:17:21-05","popularity":47,"notes":"Starting with the September 14, 2021, release, the SNL U.S. Bank index, an underlying index used in the calculation of the KCFSI, has been replaced with the S&P U.S. BMI Banks Index on the S&P Capital IQ platform. As the replacement index provides limited historical data, the KCFSI uses predicted values for the S&P U.S. BMI Banks Index between 1989 and 2004, resulting from a linear regression of the replacement index against the original index. This methodology produces highly correlated values of the current KCFSI with previous values, suggesting a minimal effect on the KCFSI. To obtain further information please see: Financial Stress: What Is It, How Can It Be Measured, and Why Does It Matter?. (http:\/\/www.kansascityfed.org\/PUBLICAT\/ECONREV\/pdf\/09q2hakkio_keeton.pdf)"},{"id":"WFHFRACMATRETAIL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Retail Trade, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:26-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Retail Trade sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATREALESTATE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Real Estate, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:26-05","popularity":3,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Real Estate sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATUTILITIES","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Utilities, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Utilities sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATHEALTHCARE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Health Care & Social Assistance, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Health Care & Social Assistance sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATWHOLESALE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Wholesale Trade, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Wholesale Trade sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATFINANCEINSURANC","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Finance & Insurance, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":6,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Finance & Insurance sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATTRANSPWAREHOUSI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Transportation & Warehousing, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Transportation & Warehousing sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHCOVIDFRACMATMEN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Men","observation_start":"2020-05-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":7,"notes":"Percent of fully paid days worked from home for US men. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). The September 2023 data point is an average of August and October due to data quality issues in September. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATGOVERNMENT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Government, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":3,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Government sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATHOSPITAILITYFOO","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Hospitality & Food Services, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:24-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Hospitality & Food Services sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATPROFBUSSERVICES","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Professional & Business Services, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:24-05","popularity":6,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Professional & Business Services sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHCOVIDFRACMATWOMEN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Women","observation_start":"2020-05-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:24-05","popularity":6,"notes":"Percent of fully paid days worked from home for US women. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). The September 2023 data point is an average of August and October due to data quality issues in September. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATINFORMATION","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Information, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:24-05","popularity":7,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Information sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"FULLONSITECURR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"All Full-Time Wage and Salary Workers: Working Fully on Site","observation_start":"2021-11-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:24-05","popularity":5,"notes":"Percent of US full-time wage and salary workers with no work-from-home days the prior week. Data obtained from a survey of US workers earning $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATARTSENTERTAIN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Arts & Entertainment, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:24-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Arts & Entertainment sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"HYBRIDCURR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"All Full-Time Wage and Salary Workers: Working in Hybrid (Some Days Working from Home, Some Days at Employer or Client Site)","observation_start":"2021-11-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:23-05","popularity":6,"notes":"Percent of US full-time wage and salary workers with at least one work-from-home day and one day working at their employer or client worksite the prior week. Data obtained from a sample of US workers earning $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATMANUFACTURING","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Manufacturing, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:23-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Manufacturing sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATEDUCATION","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Education, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:23-05","popularity":3,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Education sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHCOVIDMATQUESTION","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate","observation_start":"2019-12-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:23-05","popularity":34,"notes":"Percent of full paid days worked from home for US workers. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Estimate for 2019 is based on data from the American Time Use Survey. The June 2020 data point averages across May and July because we did not run a survey in June. The September 2023 data point is an average of August and October due to data quality issues in September. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"FULLREMOTECURR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"All Full-Time Wage and Salary Workers: Working Fully Remote","observation_start":"2021-11-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:23-05","popularity":15,"notes":"Percent of US full-time wage and salary workers with all work-from-home days (no days working on their employer or client worksite) the prior week. Data obtained from a sample of US workers earning $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"DFEDTARU","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Funds Target Range - Upper Limit","observation_start":"2008-12-16","observation_end":"2026-07-05","frequency":"Daily, 7-Day","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 07:02:17-05","popularity":82,"notes":"This series represents upper limit of the federal funds target range established by the Federal Open Market Committee. The data updated each day is the data effective as of that day."},{"id":"DFEDTARL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Federal Funds Target Range - Lower Limit","observation_start":"2008-12-16","observation_end":"2026-07-05","frequency":"Daily, 7-Day","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 07:02:16-05","popularity":66,"notes":"This series represents lower limit of the federal funds target range established by the Federal Open Market Committee. The data updated each day is the data effective as of that day."},{"id":"CBBTCUSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Coinbase Bitcoin","observation_start":"2014-12-01","observation_end":"2026-07-04","frequency":"Daily, 7-Day","frequency_short":"D","units":"U.S. Dollars","units_short":"U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-04 19:06:23-05","popularity":74,"notes":"All data is as of 5 PM PST. \n\nCopyright, 2018, Coinbase. \n\nReproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase."},{"id":"CBETHUSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Coinbase Ethereum","observation_start":"2016-05-18","observation_end":"2026-07-04","frequency":"Daily, 7-Day","frequency_short":"D","units":"U.S. Dollars","units_short":"U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-04 19:06:23-05","popularity":49,"notes":"All data is as of 5 PM PST. \n\nCopyright, 2018, Coinbase. \n\nReproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase."},{"id":"CBBCHUSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Coinbase Bitcoin Cash","observation_start":"2017-12-20","observation_end":"2026-07-04","frequency":"Daily, 7-Day","frequency_short":"D","units":"U.S. Dollars","units_short":"U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-04 19:06:23-05","popularity":23,"notes":"All data is as of 5 PM PST. \n\nCopyright, 2018, Coinbase. \n\nReproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase."},{"id":"CBLTCUSD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Coinbase Litecoin","observation_start":"2016-08-17","observation_end":"2026-07-04","frequency":"Daily, 7-Day","frequency_short":"D","units":"U.S. Dollars","units_short":"U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-04 19:06:23-05","popularity":18,"notes":"All data is as of 5 PM PST. \n\nCopyright, 2018, Coinbase. \n\nReproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase."},{"id":"USRECDM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"NBER based Recession Indicators for the United States from the Peak through the Trough","observation_start":"1854-12-01","observation_end":"2026-07-02","frequency":"Daily, 7-Day","frequency_short":"D","units":"+1 or 0","units_short":"+1 or 0","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 18:02:25-05","popularity":35,"notes":"This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http:\/\/www.nber.org\/cycles\/cyclesmain.html. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. Our time series is composed of dummy variables that represent periods of expansion and recession. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins on the 15th day of the month of the peak and ends on the 15th day of the month of the trough. This time series is a disaggregation of the monthly series. For more options on recession shading, see the note and links below.\n\nThe recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.\n\nThe first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. The midpoint method is used for this series.\n\nThe second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. A version of this time series represented using the trough method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECD\n\nThe third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. A version of this time series represented using the peak method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECDP"},{"id":"USRECD","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"NBER based Recession Indicators for the United States from the Period following the Peak through the Trough","observation_start":"1854-12-01","observation_end":"2026-07-02","frequency":"Daily, 7-Day","frequency_short":"D","units":"+1 or 0","units_short":"+1 or 0","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 18:02:24-05","popularity":43,"notes":"This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http:\/\/www.nber.org\/cycles\/cyclesmain.html. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. Our time series is composed of dummy variables that represent periods of expansion and recession. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins on the 15th day of the month of the peak and ends on the 15th day of the month of the trough. This time series is a disaggregation of the monthly series. For more options on recession shading, see the note and links below.\n\nThe recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.\n\nThe first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. A version of this time series represented using the midpoint method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECDM\n\nThe second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. The midpoint method is used for this series.\n\nThe third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. A version of this time series represented using the peak method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECDP"},{"id":"USRECDP","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"NBER based Recession Indicators for the United States from the Peak through the Period preceding the Trough","observation_start":"1854-12-01","observation_end":"2026-07-02","frequency":"Daily, 7-Day","frequency_short":"D","units":"+1 or 0","units_short":"+1 or 0","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 18:02:23-05","popularity":28,"notes":"This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http:\/\/www.nber.org\/cycles\/cyclesmain.html. Our time series is composed of dummy variables that represent periods of expansion and recession. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins the first day of the period of the peak and ends on the last day of the period before the trough. For more options on recession shading, see the notes and links below.\n\nThe recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period.\n\nThe first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. A version of this time series represented using the midpoint method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECDM\n\nThe second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. A version of this time series represented using the trough method can be found at:\n\nhttps:\/\/fred.stlouisfed.org\/series\/USRECD\n\nThe third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. The peak method is used for this series."},{"id":"STLENI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"St. Louis Fed Economic News Index: Real GDP Nowcast","observation_start":"2013-04-01","observation_end":"2026-04-01","frequency":"Quarterly","frequency_short":"Q","units":"Percent Change at Annual Rate","units_short":"% Chg. at Annual Rate","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 15:19:12-05","popularity":65,"notes":"St. Louis Fed\u2019s Economic News Index (ENI) uses economic content from key monthly economic data releases to forecast the growth of real GDP during that quarter. In general, the most-current observation is revised multiple times throughout the quarter. The final forecasted value (before the BEA\u2019s release of the advance estimate of GDP) is the static, historical value for that quarter. For more information, see Grover, Sean P.; Kliesen, Kevin L.; and McCracken, Michael W.: A Macroeconomic News Index for Constructing Nowcasts of U.S. Real Gross Domestic Product Growth (https:\/\/fraser.stlouisfed.org\/title\/review-federal-reserve-bank-st-louis-820\/fourth-quarter-2016-620800?page=18)."},{"id":"DAUTONSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic Autos","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:14-05","popularity":12,"notes":"Autos are all passenger cars, including station wagons. Domestic sales are all United States (U.S.) sales of vehicles assembled in the U.S., Canada, and Mexico."},{"id":"DLTRUCKSSAAR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic Light Weight Trucks","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Units","units_short":"Mil. of Units","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 13:19:14-05","popularity":17,"notes":"Light trucks are trucks up to 14,000 pounds gross vehicle weight, including minivans and sport utility vehicles. Prior to the 2003 Benchmark Revision, light trucks were up to 10,000 pounds."},{"id":"DLTRUCKSSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic Light Weight Trucks","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-07-03 13:19:14-05","popularity":5,"notes":"Light trucks are trucks up to 14,000 pounds gross vehicle weight, including minivans and sport utility vehicles. Prior to the 2003 Benchmark Revision, light trucks were up to 10,000 pounds."},{"id":"ALTSALES","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Light Weight Vehicle Sales: Autos and Light Trucks","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Units","units_short":"Mil. of Units","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 13:19:14-05","popularity":65},{"id":"LAUTONSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic and Foreign Autos","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:14-05","popularity":14},{"id":"DAUTOSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic Autos","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-07-03 13:19:14-05","popularity":20,"notes":"Autos are all passenger cars, including station wagons. Domestic sales are all United States (U.S.) sales of vehicles assembled in the U.S., Canada, and Mexico."},{"id":"DLTRUCKSNSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic Light Weight Trucks","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:13-05","popularity":3,"notes":"Light trucks are trucks up to 14,000 pounds gross vehicle weight, including minivans and sport utility vehicles. Prior to the 2003 Benchmark Revision, light trucks were up to 10,000 pounds."},{"id":"FAUTOSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Foreign Autos","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-07-03 13:19:13-05","popularity":6,"notes":"Autos defined as all passenger cars, including station wagons. Foreign sales are all U.S. sales of vehicles not produced in the U.S., Canada, or Mexico."},{"id":"DAUTOSAAR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic Autos","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Units","units_short":"Mil. of Units","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 13:19:13-05","popularity":32,"notes":"Autos are all passenger cars, including station wagons. Domestic sales are all United States (U.S.) sales of vehicles assembled in the U.S., Canada, and Mexico."},{"id":"FAUTONSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Foreign Autos","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:13-05","popularity":5,"notes":"Autos defined as all passenger cars, including station wagons. Foreign sales are all U.S. sales of vehicles not produced in the U.S., Canada, or Mexico."},{"id":"HTRUCKSNSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Heavy Weight Trucks","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:13-05","popularity":21,"notes":"Heavy trucks are trucks with more than 14,000 pounds gross vehicle weight."},{"id":"FLTRUCKSSAAR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Foreign Light Weight Trucks","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Units","units_short":"Mil. of Units","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 13:19:13-05","popularity":6,"notes":"Light trucks are trucks up to 14,000 pounds gross vehicle weight, including minivans and sport utility vehicles. Prior to the 2003 Benchmark Revision, light trucks were up to 10,000 pounds."},{"id":"FAUTOSAAR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Foreign Autos","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Units","units_short":"Mil. of Units","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 13:19:12-05","popularity":13,"notes":"Autos defined as all passenger cars, including station wagons. Foreign sales are all U.S. sales of vehicles not produced in the U.S., Canada, or Mexico."},{"id":"HTRUCKSSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Heavy Weight Trucks","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-07-03 13:19:12-05","popularity":33,"notes":"Heavy trucks are trucks with more than 14,000 pounds gross vehicle weight."},{"id":"HTRUCKSSAAR","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Heavy Weight Trucks","observation_start":"1967-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Units","units_short":"Mil. of Units","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 13:19:12-05","popularity":68,"notes":"Heavy trucks are trucks with more than 14,000 pounds gross vehicle weight."},{"id":"LAUTOSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Domestic and Foreign Autos","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Units","units_short":"Mil. of Units","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 13:19:12-05","popularity":33},{"id":"LTOTALNSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Light Weight Vehicle Sales","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:12-05","popularity":39},{"id":"LTRUCKNSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Light Weight Trucks","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:12-05","popularity":10},{"id":"TOTALSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Vehicle Sales","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Units","units_short":"Mil. of Units","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 13:19:11-05","popularity":75},{"id":"TOTALNSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Total Vehicle Sales","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:11-05","popularity":39},{"id":"LTRUCKSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Light Weight Trucks","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Millions of Units","units_short":"Mil. of Units","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-07-03 13:19:11-05","popularity":36},{"id":"FLTRUCKSSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Foreign Light Weight Trucks","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-07-03 13:19:11-05","popularity":2,"notes":"Light trucks are trucks up to 14,000 pounds gross vehicle weight, including minivans and sport utility vehicles. Prior to the 2003 Benchmark Revision, light trucks were up to 10,000 pounds."},{"id":"FLTRUCKSNSA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Motor Vehicle Retail Sales: Foreign Light Weight Trucks","observation_start":"1976-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Thousands of Units","units_short":"Thous. of Units","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 13:19:10-05","popularity":2,"notes":"Light trucks are trucks up to 14,000 pounds gross vehicle weight, including minivans and sport utility vehicles. Prior to the 2003 Benchmark Revision, light trucks were up to 10,000 pounds."},{"id":"KCROROE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Risk-ON Risk-Off Index (KCRORO): Equities","observation_start":"2003-05-09","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percentage Points","units_short":"Percentage Points","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:47:12-05","popularity":23,"notes":"The Risk-On Risk-Off (RORO) Index is a multifaceted measure designed to capture the realized variation in global investor risk appetite. The measure uses daily data from asset markets in the United States and the euro area. It presents an aggregation of risk-on risk-off states of the world based on four broad categories reflecting variation in advanced economy credit risk, equity market volatility, funding conditions, and currencies and gold. To infer the overall risk-bearing capacity of international investors, the RORO Index comprises the first principle component of the daily changes in these series. For questions on the data or methodology, please contact the data source (https:\/\/www.kansascityfed.org\/data-and-trends\/risk-on-risk-off-index\/)."},{"id":"KCROROG","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Risk-ON Risk-Off Index (KCRORO): Gold and USD","observation_start":"2003-05-09","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percentage Points","units_short":"Percentage Points","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:46:59-05","popularity":14,"notes":"The Risk-On Risk-Off (RORO) Index is a multifaceted measure designed to capture the realized variation in global investor risk appetite. The measure uses daily data from asset markets in the United States and the euro area. It presents an aggregation of risk-on risk-off states of the world based on four broad categories reflecting variation in advanced economy credit risk, equity market volatility, funding conditions, and currencies and gold. To infer the overall risk-bearing capacity of international investors, the RORO Index comprises the first principle component of the daily changes in these series. For questions on the data or methodology, please contact the data source (https:\/\/www.kansascityfed.org\/data-and-trends\/risk-on-risk-off-index\/)."},{"id":"KCROROS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Risk-ON Risk-Off Index (KCRORO): Spreads","observation_start":"2003-05-09","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percentage Points","units_short":"Percentage Points","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:46:16-05","popularity":13,"notes":"The Risk-On Risk-Off (RORO) Index is a multifaceted measure designed to capture the realized variation in global investor risk appetite. The measure uses daily data from asset markets in the United States and the euro area. It presents an aggregation of risk-on risk-off states of the world based on four broad categories reflecting variation in advanced economy credit risk, equity market volatility, funding conditions, and currencies and gold. To infer the overall risk-bearing capacity of international investors, the RORO Index comprises the first principle component of the daily changes in these series. For questions on the data or methodology, please contact the data source (https:\/\/www.kansascityfed.org\/data-and-trends\/risk-on-risk-off-index\/)."},{"id":"KCRORO","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Risk-ON Risk-Off Index (KCRORO)","observation_start":"2003-05-09","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percentage Points","units_short":"Percentage Points","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:43:18-05","popularity":27,"notes":"The Risk-On Risk-Off (RORO) Index is a multifaceted measure designed to capture the realized variation in global investor risk appetite. The measure uses daily data from asset markets in the United States and the euro area. It presents an aggregation of risk-on risk-off states of the world based on four broad categories reflecting variation in advanced economy credit risk, equity market volatility, funding conditions, and currencies and gold. To infer the overall risk-bearing capacity of international investors, the RORO Index comprises the first principle component of the daily changes in these series. For questions on the data or methodology, please contact the data source (https:\/\/www.kansascityfed.org\/data-and-trends\/risk-on-risk-off-index\/)."},{"id":"KCROROL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Risk-ON Risk-Off Index (KCRORO): Liquidity","observation_start":"2003-05-09","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percentage Points","units_short":"Percentage Points","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:37:13-05","popularity":14,"notes":"The Risk-On Risk-Off (RORO) Index is a multifaceted measure designed to capture the realized variation in global investor risk appetite. The measure uses daily data from asset markets in the United States and the euro area. It presents an aggregation of risk-on risk-off states of the world based on four broad categories reflecting variation in advanced economy credit risk, equity market volatility, funding conditions, and currencies and gold. To infer the overall risk-bearing capacity of international investors, the RORO Index comprises the first principle component of the daily changes in these series. For questions on the data or methodology, please contact the data source (https:\/\/www.kansascityfed.org\/data-and-trends\/risk-on-risk-off-index\/)."},{"id":"BAMLC0A0CM","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:51-05","popularity":86,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Option-Adjusted Spreads (OASs) are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. The Corporate Master OAS uses an index of bonds that are considered investment grade (those rated BBB or better). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nThis data represents the ICE BofA US Corporate Index value, which tracks the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have an investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $250 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and US\ndomestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month\nremain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A1CAAA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:47-05","popularity":66,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) of the ICE BofA AAA US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AAA.\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A4CBBBSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:46-05","popularity":22,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA BBB US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BBB. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A1CAAASYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:46-05","popularity":7,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA AAA US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AAA. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A0CMSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:43-05","popularity":15,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA US Corporate Index, which tracks the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have an investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $250 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and US domestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\n\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC7A0C1015YSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 10-15 Year US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:43-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA 10-15 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 10 years and less than 15 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC3A0C57YEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 5-7 Year US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:43-05","popularity":39,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA 5-7 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 5 years and less than 7 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC3A0C57Y","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 5-7 Year US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:43-05","popularity":23,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Option-Adjusted Spreads (OASs) are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. The US Corporate 5-7 Year OAS is a subset of the ICE BofA US Corporate Master OAS, BAMLC0A0CM. This subset includes all securities with a remaining term to maturity of greater than or equal to 5 years and less than 7 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A3CA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Single-A US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:41-05","popularity":68,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) of the ICE BofA Single-A US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating A.\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A3CAEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Single-A US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:40-05","popularity":63,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Single-A US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating A. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A2CAAEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AA US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:37-05","popularity":57,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA AA US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AA. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A4CBBB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:35-05","popularity":84,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) of the ICE BofA BBB US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BBB.\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC3A0C57YSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 5-7 Year US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:34-05","popularity":6,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA 5-7 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 5 years and less than 7 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC2A0C35YSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 3-5 Year US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:34-05","popularity":6,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA 3-5 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 3 years and less than 5 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC1A0C13YSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 1-3 Year US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:34-05","popularity":7,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA 1-3 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of less than 3 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC1A0C13Y","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 1-3 Year US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:34-05","popularity":34,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Option-Adjusted Spreads (OASs) are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. The US Corporate 1-3 Year OAS is a subset of the ICE BofA US Corporate Master OAS, BAMLC0A0CM. This subset includes all securities with a remaining term to maturity of less than 3 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC1A013YTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 1-3 Year US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:33-05","popularity":27,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA 1-3 Year US Corporate Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of less than 3 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC0A0CMTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:29-05","popularity":61,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA US Corporate Index value, which tracks the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have an investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $250 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and US\ndomestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC0A3ATRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Single-A US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:29-05","popularity":12,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA Single-A US Corporate Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating A. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM2BRRBBBCRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:26-05","popularity":25,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA BBB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BBB1 through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC0A1AAATRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:25-05","popularity":24,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA AAA US Corporate Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AAA. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC0A2AATRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AA US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:24-05","popularity":18,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA AA US Corporate Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AA. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC0A4BBBTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:24-05","popularity":32,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA BBB US Corporate Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BBB. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC8A015PYTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 15+ Year US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:24-05","popularity":12,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA US Corporate 15+ Year Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 15 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM2BRRBBBCRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:23-05","popularity":3,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA BBB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BBB1 through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM1BRRAAA2ACRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA-A Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:23-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA AAA-A Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated AAA through A3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM3BRRBBCRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:17-05","popularity":25,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA BB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM1RAAA2ALCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA-A US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:17-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA AAA-A US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA US Emerging Markets Liquid Corporate Plus Index, which includes only securities rated AAA through A3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC7A01015YTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 10-15 Year US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:16-05","popularity":9,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA 10-15 Year US Corporate Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 10 years and less than 15 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM2RBBBLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:16-05","popularity":3,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA BBB US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BBB1 through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM3RBBLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:15-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA BB US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM1RAAA2ALCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA-A US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:15-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA AAA-A US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA US Emerging Markets Liquid Corporate Plus Index, which includes only securities rated AAA through A3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM3BRRBBCRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:14-05","popularity":12,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA BB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A1CAAAEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:11-05","popularity":67,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA AAA US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AAA. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A0CMEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:11-05","popularity":65,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA US Corporate Index, which tracks the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have an investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $250 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and US domestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM3RBBLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:07-05","popularity":6,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA BB US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC1A0C13YEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 1-3 Year US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:06-05","popularity":44,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA 1-3 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of less than 3 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A2CAA","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AA US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:06-05","popularity":64,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) of the ICE BofA AA US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AA.\nThe ICE BofA OAS are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM3RBBLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:05-05","popularity":7,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA BB US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC4A0C710YEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 7-10 Year US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:05-05","popularity":52,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA 7-10 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 7 years and less than 10 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM4BRRBLCRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA B & Lower Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:10:05-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA B and Lower Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated B1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM3BRRBBCRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:59-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA BB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC4A0C710YSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 7-10 Year US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:59-05","popularity":13,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA 7-10 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 7 years and less than 10 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM4RBLLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA B & Lower US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:58-05","popularity":22,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA B and Lower US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated B1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM4RBLLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA B & Lower US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:56-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA B and Lower US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated B1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM5BCOCRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Crossover Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:55-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Crossover Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BBB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC4A0C710Y","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 7-10 Year US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:53-05","popularity":41,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Option-Adjusted Spreads (OASs) are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. The US Corporate 7-10 Year OAS is a subset of the ICE BofA US Corporate Master OAS, BAMLC0A0CM. This subset includes all securities with a remaining term to maturity of greater than or equal to 7 years and less than 10 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMALLCRPIASIAUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Asia US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:53-05","popularity":14,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Asia US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Asia, excluding Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM4BRRBLCRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA B & Lower Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:53-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA B and Lower Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated B1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMALLCRPIASIAUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Asia US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:48-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Asia US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Asia, excluding Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC7A0C1015YEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 10-15 Year US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:47-05","popularity":40,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA 10-15 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 10 years and less than 15 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A2CAASYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AA US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:46-05","popularity":7,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA AA US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating AA. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMALLCRPIASIAUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Asia US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:46-05","popularity":10,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Asia US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Asia, excluding Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMCBPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:45-05","popularity":35,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413), which tracks the performance of US dollar (USD) and Euro denominated emerging markets non-sovereign debt publicly issued within the major domestic and Eurobond markets. To qualify for inclusion in the index, the issuer of debt must have risk exposure to countries other than members of the FX G10 (US, Japan, New Zealand, Australia, Canada, Sweden, UK, Switzerland, Norway, and Euro Currency Members), all Western European countries, and territories of the US and Western European countries. Each security must also be denominated in USD or Euro with a time to maturity greater than 1 year and have a fixed coupon. For inclusion in the index, investment grade rated bonds of qualifying issuers must have at least 250 million (Euro or USD) in outstanding face value, and below investment grade rated bonds must have at least 100 million (Euro or USD) in outstanding face value. The index includes corporate and quasi-government debt of qualifying countries, but excludes sovereign and supranational debt. Other types of securities acceptable for inclusion in this index are: original issue zero coupon bonds, \"global\" securities (debt issued in the US domestic bond markets as well the Eurobond Market simultaneously), 144a securities, pay-in-kind securities (includes toggle notes), callable perpetual securities (qualify if they are at least one year from the first call date), fixed-to-floating rate securities (qualify if the securities are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security). Defaulted securities are excluded from the Index.\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of US mortgage pass-throughs and US structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for US mortgage pass-through and US structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC7A0C1015Y","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 10-15 Year US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:42-05","popularity":20,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Option-Adjusted Spreads (OASs) are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. The US Corporate 10-15 Year OAS is a subset of the ICE BofA US Corporate Master OAS, BAMLC0A0CM. This subset includes all securities with a remaining term to maturity of greater than or equal to 10 years and less than 15 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC8A0C15PYSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 15+ Year US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:41-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA US Corporate 15+ Year Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 15 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM5BCOCRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Crossover Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:40-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Crossover Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BBB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM4RBLLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA B & Lower US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:38-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA B and Lower US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated B1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM5BCOCRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Crossover Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:35-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Crossover Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BBB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMALLCRPIASIAUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Asia US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:34-05","popularity":4,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Asia US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Asia, excluding Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMCBPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:34-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413), which tracks the performance of US dollar (USD) and Euro denominated emerging markets non-sovereign debt publicly issued within the major domestic and Eurobond markets. To qualify for inclusion in the index, the issuer of debt must have risk exposure to countries other than members of the FX G10 (US, Japan, New Zealand, Australia, Canada, Sweden, UK, Switzerland, Norway, and Euro Currency Members), all Western European countries, and territories of the US and Western European countries. Each security must also be denominated in USD or Euro with a time to maturity greater than 1 year and have a fixed coupon. For inclusion in the index, investment grade rated bonds of qualifying issuers must have at least 250 million (Euro or USD) in outstanding face value, and below investment grade rated bonds must have at least 100 million (Euro or USD) in outstanding face value. The index includes corporate and quasi-government debt of qualifying countries, but excludes sovereign and supranational debt. Other types of securities acceptable for inclusion in this index are: original issue zero coupon bonds, \"global\" securities (debt issued in the US domestic bond markets as well the Eurobond Market simultaneously), 144a securities, pay-in-kind securities (includes toggle notes), callable perpetual securities (qualify if they are at least one year from the first call date), fixed-to-floating rate securities (qualify if the securities are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security). Defaulted securities are excluded from the Index.\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of US mortgage pass-throughs and US structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for US mortgage pass-through and US structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payment frequencies of annual, semi-annual, quarterly, and monthly. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A3CASYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Single-A US Corporate Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:33-05","popularity":5,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Single-A US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating A. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC0A4CBBBEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:32-05","popularity":77,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA BBB US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BBB. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMCBPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:29-05","popularity":58,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413), which tracks the performance of US dollar (USD) and Euro denominated emerging markets non-sovereign debt publicly issued within the major domestic and Eurobond markets. To qualify for inclusion in the index, the issuer of debt must have risk exposure to countries other than members of the FX G10 (US, Japan, New Zealand, Australia, Canada, Sweden, UK, Switzerland, Norway, and Euro Currency Members), all Western European countries, and territories of the US and Western European countries. Each security must also be denominated in USD or Euro with a time to maturity greater than 1 year and have a fixed coupon. For inclusion in the index, investment grade rated bonds of qualifying issuers must have at least 250 million (Euro or USD) in outstanding face value, and below investment grade rated bonds must have at least 100 million (Euro or USD) in outstanding face value. The index includes corporate and quasi-government debt of qualifying countries, but excludes sovereign and supranational debt. Other types of securities acceptable for inclusion in this index are: original issue zero coupon bonds, \"global\" securities (debt issued in the US domestic bond markets as well the Eurobond Market simultaneously), 144a securities, pay-in-kind securities (includes toggle notes), callable perpetual securities (qualify if they are at least one year from the first call date), fixed-to-floating rate securities (qualify if the securities are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security). Defaulted securities are excluded from the Index.\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of US mortgage pass-throughs and US structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for US mortgage pass-through and US structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until\nthe end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC2A0C35YEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 3-5 Year US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:28-05","popularity":39,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA 3-5 Year US Corporate Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 3 years and less than 5 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC3A057YTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 5-7 Year US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:27-05","popularity":14,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA 5-7 Year US Corporate Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 5 years and less than 7 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMEBCRPIESYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Euro Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:26-05","popularity":3,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Euro Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities denominated in Euros. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC8A0C15PYEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 15+ Year US Corporate Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:24-05","popularity":47,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA US Corporate 15+ Year Index, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 15 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMEBCRPIEEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Euro Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:22-05","popularity":13,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Euro Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities denominated in Euros. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC8A0C15PY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 15+ Year US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:22-05","popularity":16,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Option-Adjusted Spreads (OASs) are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. The US Corporate 15+ Year OAS is a subset of the ICE BofA US Corporate Master OAS, BAMLC0A0CM. This subset includes all securities with a remaining term to maturity of greater than or equal to 15 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLC2A0C35Y","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 3-5 Year US Corporate Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:21-05","popularity":36,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Option-Adjusted Spreads (OASs) are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. The US Corporate 3-5 Year OAS is a subset of the ICE BofA US Corporate Master OAS, BAMLC0A0CM. This subset includes all securities with a remaining term to maturity of greater than or equal to 3 years and less than 5 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMFLFLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Financial US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:20-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Financial US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all Financial securities except the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC4A0710YTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 7-10 Year US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:16-05","popularity":33,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA 7-10 Year US Corporate Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 7 years and less than 10 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM1RAAA2ALCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA-A US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:16-05","popularity":11,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA AAA-A US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA US Emerging Markets Liquid Corporate Plus Index, which includes only securities rated AAA through A3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM1RAAA2ALCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA-A US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:15-05","popularity":4,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA AAA-A US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA US Emerging Markets Liquid Corporate Plus Index, which includes only securities rated AAA through A3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM1BRRAAA2ACRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA-A Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:15-05","popularity":8,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA AAA-A Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated AAA through A3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMEBCRPIETRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Euro Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:11-05","popularity":5,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Euro Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities denominated in Euros. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM3BRRBBCRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:11-05","popularity":4,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA BB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM1BRRAAA2ACRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA-A Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:09-05","popularity":17,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA AAA-A Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated AAA through A3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMELLCRPIEMEAUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA EMEA US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:07-05","popularity":4,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Europe, the Middle East, and Africa (EMEA) US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Europe, the Middle East and Africa, also including Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMFSFCRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Financial Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:05-05","popularity":7,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Financial Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all Financial securities except the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMFLFLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Financial US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:05-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Financial US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all Financial securities except the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM3RBBLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:04-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA BB US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMCLLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:09:02-05","popularity":6,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA US Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413) which tracks the performance of US dollar (USD) denominated emerging markets non-sovereign debt publicly issued in the major domestic and Eurobond markets. To qualify for inclusion in the index, the issuer of debt must have risk exposure to countries other than members of the FX G10 (US, Japan, New Zealand, Australia, Canada, Sweden, UK, Switzerland, Norway, and Euro Currency Members), all Western European countries, and territories of the US and Western European countries. Each security must also be denominated in USD with a time to maturity greater than 1 year until final maturity and have a fixed coupon. For inclusion in the index, investment grade rated bonds of qualifying issuers must have at least $500 million in outstanding face value, and below investment grade rated bonds must have at least $300 million in outstanding face value. The index includes corporate and quasi-government debt of qualifying countries, but excludes sovereign and supranational debt. Other types of securities acceptable for inclusion in this index are: original issue zero coupon bonds, \"global\" securities (debt issued in the US domestic bond markets as well the Eurobond Market simultaneously), 144a securities, pay-in-kind securities (includes toggle notes), callable perpetual securities (qualify if they are at least one year from the first call date), fixed-t-floating rate securities (qualify if the securities are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security). Defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding times the market price plus accrued interest, subject to a 10% country of risk cap and a 2% issuer cap. Countries and issuers that exceed the limits are reduced to 10% and 2%, respectively, and the face value of each of their bonds is adjusted on a pro-rata basis. Similarly, the face values of bonds of all other countries and issuers that fall below their respective caps are increased on a pro-rata basis. In the event there are fewer than 10 countries in the Index, or fewer than 50 issuers, each is equally weighted and the face values of their respective bonds are increased or decreased on a pro-rata basis. Accrued interest is calculated assuming next-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM4RBLLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA B & Lower US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:59-05","popularity":14,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA B and Lower US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated B1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHBHYCRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Yield Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:58-05","popularity":50,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA High Yield Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLCC2A035YTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA 3-5 Year US Corporate Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:58-05","popularity":17,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA 3-5 Year US Corporate Index value, a subset of the ICE BofA US Corporate Master Index tracking the performance of US dollar denominated investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a remaining term to maturity of greater than or equal to 3 years and less than 5 years. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM1BRRAAA2ACRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA AAA-A Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:56-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA AAA-A Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated AAA through A3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHYHYLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Yield US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:54-05","popularity":21,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA High Yield US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BB1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMIBHGCRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Grade Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:53-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA High Grade Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated AAA through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM4BRRBLCRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA B & Lower Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:53-05","popularity":14,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA B and Lower Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated B1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMCLLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:49-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA US Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413) which tracks the performance of US dollar (USD) denominated emerging markets non-sovereign debt publicly issued in the major domestic and Eurobond markets. To qualify for inclusion in the index, the issuer of debt must have risk exposure to countries other than members of the FX G10 (US, Japan, New Zealand, Australia, Canada, Sweden, UK, Switzerland, Norway, and Euro Currency Members), all Western European countries, and territories of the US and Western European countries. Each security must also be denominated in USD with a time to maturity greater than 1 year until final maturity and have a fixed coupon. For inclusion in the index, investment grade rated bonds of qualifying issuers must have at least $500 million in outstanding face value, and below investment grade rated bonds must have at least $300 million in outstanding face value. The index includes corporate and quasi-government debt of qualifying countries, but excludes sovereign and supranational debt. Other types of securities acceptable for inclusion in this index are: original issue zero coupon bonds, \"global\" securities (debt issued in the US domestic bond markets as well the Eurobond Market simultaneously), 144a securities, pay-in-kind securities (includes toggle notes), callable perpetual securities (qualify if they are at least one year from the first call date), fixed-t-floating rate securities (qualify if the securities are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security). Defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding times the market price plus accrued interest, subject to a 10% country of risk cap and a 2% issuer cap. Countries and issuers that exceed the limits are reduced to 10% and 2%, respectively, and the face value of each of their bonds is adjusted on a pro-rata basis. Similarly, the face values of bonds of all other countries and issuers that fall below their respective caps are increased on a pro-rata basis. In the event there are fewer than 10 countries in the Index, or fewer than 50 issuers, each is equally weighted and the face values of their respective bonds are increased or decreased on a pro-rata basis. Accrued interest is calculated assuming next-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payment frequencies of annual, semi-annual, quarterly, and monthly. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM2BRRBBBCRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:48-05","popularity":23,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA BBB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BBB1 through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMLLLCRPILAUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Latin America US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:47-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Latin America US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Latin America. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMFLFLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Financial US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:47-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Financial US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all Financial securities except the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMNFNFLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Non-Financial US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:44-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Non-Financial US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which excludes all Financial securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM2BRRBBBCRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:42-05","popularity":4,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA BBB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BBB1 through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMELLCRPIEMEAUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA EMEA US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:41-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Europe, the Middle East, and Africa (EMEA) US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Europe, the Middle East and Africa, also including Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM2RBBBLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:40-05","popularity":8,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA BBB US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BBB1 through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM2RBBBLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:38-05","popularity":4,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA BBB US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BBB1 through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMLLLCRPILAUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Latin America US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:36-05","popularity":3,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Latin America US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Latin America. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMELLCRPIEMEAUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA EMEA US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:36-05","popularity":6,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Europe, the Middle East, and Africa (EMEA) US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Europe, the Middle East and Africa, also including Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMFSFCRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Financial Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:36-05","popularity":9,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Financial Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all Financial securities except the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM2RBBBLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BBB US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:31-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA BBB US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BBB1 through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMFLFLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Financial US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:31-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Financial US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all Financial securities except the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMCLLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:30-05","popularity":9,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA US Emerging Markets Liquid Corporate Plus Index tracks the performance of US dollar (USD) denominated emerging markets non-sovereign debt publicly issued in the major domestic and Eurobond markets. To qualify for inclusion in the index, the issuer of debt must have risk exposure to countries other than members of the FX G10 (US, Japan, New Zealand, Australia, Canada, Sweden, UK, Switzerland, Norway, and Euro Currency Members), all Western European countries, and territories of the US and Western European countries. Each security must also be denominated in USD with a time to maturity greater than 1 year until final maturity and have a fixed coupon. For inclusion in the index, investment grade rated bonds of qualifying issuers must have at least $500 million in outstanding face value, and below investment grade rated bonds must have at least $300 million in outstanding face value. The index includes corporate and quasi-government debt of qualifying countries, but excludes sovereign and supranational debt. Other types of securities acceptable for inclusion in this index are: original issue zero coupon bonds, \"global\" securities (debt issued in the US domestic bond markets as well the Eurobond Market simultaneously), 144a securities, pay-in-kind securities (includes toggle notes), callable perpetual securities (qualify if they are at least one year from the first call date), fixed-t-floating rate securities (qualify if the securities are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security). Defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding times the market price plus accrued interest, subject to a 10% country of risk cap and a 2% issuer cap. Countries and issuers that exceed the limits are reduced to 10% and 2%, respectively, and the face value of each of their bonds is adjusted on a pro-rata basis. Similarly, the face values of bonds of all other countries and issuers that fall below their respective caps are increased on a pro-rata basis. In the event there are fewer than 10 countries in the Index, or fewer than 50 issuers, each is equally weighted and the face values of their respective bonds are increased or decreased on a pro-rata basis. Accrued interest is calculated assuming next-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMNFNFLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Non-Financial US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:29-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Non-Financial US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which excludes all Financial securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMNSNFCRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Non-Financial Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:27-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Non-Financial Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which excludes all Financial securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMCBPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:25-05","popularity":44,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Emerging Markets Corporate Plus Index tracks the performance of US dollar (USD) and Euro denominated emerging markets non-sovereign debt publicly issued within the major domestic and Eurobond markets. To qualify for inclusion in the index, the issuer of debt must have risk exposure to countries other than members of the FX G10 (US, Japan, New Zealand, Australia, Canada, Sweden, UK, Switzerland, Norway, and Euro Currency Members), all Western European countries, and territories of the US and Western European countries. Each security must also be denominated in USD or Euro with a time to maturity greater than 1 year and have a fixed coupon. For inclusion in the index, investment grade rated bonds of qualifying issuers must have at least 250 million (Euro or USD) in outstanding face value, and below investment grade rated bonds must have at least 100 million (Euro or USD) in outstanding face value. The index includes corporate and quasi-government debt of qualifying countries, but excludes sovereign and supranational debt. Other types of securities acceptable for inclusion in this index are: original issue zero coupon bonds, \"global\" securities (debt issued in the US domestic bond markets as well the Eurobond Market simultaneously), 144a securities, pay-in-kind securities (includes toggle notes), callable perpetual securities (qualify if they are at least one year from the first call date), fixed-to-floating rate securities (qualify if the securities are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security). Defaulted securities are excluded from the Index.\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of US mortgage pass-throughs and US structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for US mortgage pass-through and US structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until\nthe end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM4BRRBLCRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA B & Lower Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:25-05","popularity":26,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA B and Lower Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated B1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPTPRVICRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Issuers Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:22-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nDue to a possibility of erroneous data, this series has been temporarily suspended.\nThis data represents the effective yield of the ICE BofA Private Sector Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all corporate securities except for the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEM5BCOCRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Crossover Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:20-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Crossover Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BBB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHGHGLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Grade US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:20-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA High Grade US Emerging Markets Liquid Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated AAA through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPUPUBSLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Public Sector Issuers US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:19-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Public Sector US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all quasi-government securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHBHYCRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Yield Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:19-05","popularity":40,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA High Yield Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHGHGLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Grade US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:14-05","popularity":5,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA High Grade US Emerging Markets Liquid Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated AAA through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMEBCRPIEOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Euro Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:13-05","popularity":21,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Euro Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities denominated in Euros. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMCLLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:13-05","popularity":4,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA US Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413) which tracks the performance of US dollar (USD) denominated emerging markets non-sovereign debt publicly issued in the major domestic and Eurobond markets. To qualify for inclusion in the index, the issuer of debt must have risk exposure to countries other than members of the FX G10 (US, Japan, New Zealand, Australia, Canada, Sweden, UK, Switzerland, Norway, and Euro Currency Members), all Western European countries, and territories of the US and Western European countries. Each security must also be denominated in USD with a time to maturity greater than 1 year until final maturity and have a fixed coupon. For inclusion in the index, investment grade rated bonds of qualifying issuers must have at least $500 million in outstanding face value, and below investment grade rated bonds must have at least $300 million in outstanding face value. The index includes corporate and quasi-government debt of qualifying countries, but excludes sovereign and supranational debt. Other types of securities acceptable for inclusion in this index are: original issue zero coupon bonds, \"global\" securities (debt issued in the US domestic bond markets as well the Eurobond Market simultaneously), 144a securities, pay-in-kind securities (includes toggle notes), callable perpetual securities (qualify if they are at least one year from the first call date), fixed-t-floating rate securities (qualify if the securities are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security). Defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding times the market price plus accrued interest, subject to a 10% country of risk cap and a 2% issuer cap. Countries and issuers that exceed the limits are reduced to 10% and 2%, respectively, and the face value of each of their bonds is adjusted on a pro-rata basis. Similarly, the face values of bonds of all other countries and issuers that fall below their respective caps are increased on a pro-rata basis. In the event there are fewer than 10 countries in the Index, or fewer than 50 issuers, each is equally weighted and the face values of their respective bonds are increased or decreased on a pro-rata basis. Accrued interest is calculated assuming next-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHGHGLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Grade US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:11-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA High Grade US Emerging Markets Liquid Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated AAA through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRACRPIASIASYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Asia Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:10-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Asia Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Asia, excluding Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHBHYCRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Yield Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:09-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA High Yield Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHGHGLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Grade US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:05-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA High Grade US Emerging Markets Liquid Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated AAA through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRLCRPILATRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Latin America Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:04-05","popularity":9,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Latin America Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Latin America. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHYHYLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Yield US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:02-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA High Yield US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BB1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMFSFCRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Financial Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:08:01-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Financial Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all Financial securities except the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMELLCRPIEMEAUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA EMEA US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:58-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Europe, the Middle East, and Africa (EMEA) US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Europe, the Middle East and Africa, also including Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRECRPIEMEAOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA EMEA Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:56-05","popularity":14,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Europe, the Middle East, and Africa (EMEA) Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Europe, the Middle East and Africa, also including Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMNSNFCRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Non-Financial Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:54-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Non-Financial Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which excludes all Financial securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPUPUBSLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Public Sector Issuers US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:52-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Public Sector US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all quasi-government securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMIBHGCRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Grade Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:52-05","popularity":6,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA High Grade Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated AAA through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMNFNFLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Non-Financial US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:47-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Non-Financial US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which excludes all Financial securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMIBHGCRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Grade Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:47-05","popularity":5,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA High Grade Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated AAA through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMNSNFCRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Non-Financial Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:45-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Non-Financial Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which excludes all Financial securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRLCRPILASYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Latin America Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:43-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Latin America Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Latin America. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHBHYCRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Yield Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:41-05","popularity":14,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA High Yield Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMFSFCRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Financial Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:36-05","popularity":3,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Financial Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all Financial securities except the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMLLLCRPILAUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Latin America US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:36-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Latin America US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Latin America. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHYHYLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Yield US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:34-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA High Yield US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BB1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPUPUBSLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Public Sector Issuers US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:34-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Public Sector US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all quasi-government securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRACRPIASIAOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Asia Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:29-05","popularity":40,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Asia Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Asia, excluding Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMHYHYLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Yield US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:27-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA High Yield US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BB1 or lower. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMIBHGCRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA High Grade Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:27-05","popularity":10,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA High Grade Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated AAA through BBB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPUPUBSLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Public Sector Issuers US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:25-05","popularity":15,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Public Sector US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all quasi-government securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMUBCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:23-05","popularity":13,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA US Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities denominated in US Dollars. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMNSNFCRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Non-Financial Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:19-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Non-Financial Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which excludes all Financial securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMNFNFLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Non-Financial US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:18-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Non-Financial US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which excludes all Financial securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMLLLCRPILAUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Latin America US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:18-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Latin America US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities issued by countries associated with the region of Latin America. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPTPRVICRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Issuers Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:16-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Private Sector Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all corporate securities except for the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRACRPIASIATRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Asia Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:12-05","popularity":7,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Asia Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Asia, excluding Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPTPRVICRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Issuers Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:10-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nDue to a possibility of erroneous data, this series has been temporarily suspended.\nThe ICE BofA Private Sector Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all corporate securities except for the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPBPUBSICRPISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Public Sector Issuers Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:08-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Public Sector Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all quasi-government securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMXOCOLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:07-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BBB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A1HYBBEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB US High Yield Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:02-05","popularity":70,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA US Corporate BB Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BB. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPBPUBSICRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Public Sector Issuers Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:07:02-05","popularity":6,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nDue to a possibility of erroneous data, this series has been temporarily suspended.\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Public Sector Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all quasi-government securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMUBCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:59-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA US Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities denominated in US Dollars. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMXOCOLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:56-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BBB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A0HYM2SYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US High Yield Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:54-05","popularity":38,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA US High Yield Index, which tracks the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $100 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and US domestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payment frequencies of annual, semi-annual, quarterly, and monthly. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRLCRPILAOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Latin America Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:51-05","popularity":29,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Latin America Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Latin America. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPTPRVICRPIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Issuers Emerging Markets Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:51-05","popularity":3,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nDue to a possibility of erroneous data, this series has been temporarily suspended.\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Private Sector Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all corporate securities except for the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRLCRPILAEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Latin America Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:46-05","popularity":19,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Latin America Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Latin America. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPBPUBSICRPITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Public Sector Issuers Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:45-05","popularity":5,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nDue to a possibility of erroneous data, this series has been temporarily suspended.\nThe ICE BofA Public Sector Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all quasi-government securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPVPRIVSLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Issuers US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:42-05","popularity":4,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nDue to a possibility of erroneous data, this series has been temporarily suspended.\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Private Sector US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all corporate securities except for the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRACRPIASIAEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Asia Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:40-05","popularity":29,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Asia Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Asia, excluding Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A0HYM2EY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US High Yield Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:38-05","popularity":84,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA US High Yield Index, which tracks the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $100 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and US domestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPBPUBSICRPIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Public Sector Issuers Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:35-05","popularity":20,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nDue to a possibility of erroneous data, this series has been temporarily suspended.\nThis data represents the effective yield of the ICE BofA Public Sector Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes all quasi-government securities as well as the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLHE00EHYITRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Euro High Yield Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:34-05","popularity":55,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA Euro High Yield Index value, which tracks the performance of Euro denominated below investment grade corporate debt publicly issued in the euro domestic or eurobond markets. Qualifying securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch). Qualifying securities must have at least one year remaining term to maturity, a fixed coupon schedule, and a minimum amount outstanding of Euro 100 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and euro domestic markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. Defaulted, warrant-bearing and euro legacy currency securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until\nthe end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A1HYBBSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB US High Yield Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:30-05","popularity":33,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA US Corporate BB Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BB. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A3HYC","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA CCC & Lower US High Yield Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:26-05","popularity":79,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) of the ICE BofA US Corporate C Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating CCC or below.\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A3HYCEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA CCC & Lower US High Yield Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:22-05","popularity":74,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA US Corporate C Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating CCC or below. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRECRPIEMEAEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA EMEA Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:18-05","popularity":6,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Europe, the Middle East, and Africa (EMEA) Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Europe, the Middle East and Africa, also including Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMXOCOLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:14-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BBB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPVPRIVSLCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Issuers US Emerging Markets Liquid Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:09-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Private Sector US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all corporate securities except for the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMXOCOLCRPIUSOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:06-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) for the ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes only securities rated BBB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413).\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRECRPIEMEASYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA EMEA Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:06:00-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Europe, the Middle East, and Africa (EMEA) Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Europe, the Middle East and Africa, also including Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A1HYBB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB US High Yield Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:58-05","popularity":76,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) of the ICE BofA US Corporate BB Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BB.\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMUBCRPIUSSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:52-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA US Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities denominated in US Dollars. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLHYH0A0HYM2TRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US High Yield Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:50-05","popularity":67,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA US High Yield Index value, which tracks the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $100 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and US domestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A2HYB","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Single-B US High Yield Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:43-05","popularity":70,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) of the ICE BofA US Corporate B Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating B.\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLHE00EHYIOAS","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Euro High Yield Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:42-05","popularity":73,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the Option-Adjusted Spread (OAS) of the ICE BofA Euro High Yield Index tracks the performance of Euro denominated below investment grade corporate debt publicly issued in the euro domestic or eurobond markets. Qualifying securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch). Qualifying securities must have at least one year remaining term to maturity, a fixed coupon schedule, and a minimum amount outstanding of Euro 100 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and euro domestic markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. Defaulted, warrant-bearing and euro legacy currency securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until\nthe end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nThe ICE BofA OASs are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLHYH0A1BBTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA BB US High Yield Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:35-05","popularity":21,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA US Corporate BB Index value, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating BB. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLHE00EHYIEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Euro High Yield Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:33-05","popularity":67,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA Euro High Yield Index tracks the performance of Euro denominated below investment grade corporate debt publicly issued in the euro domestic or eurobond markets. Qualifying securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch). Qualifying securities must have at least one year remaining term to maturity, a fixed coupon schedule, and a minimum amount outstanding of Euro 100 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and euro domestic markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. Defaulted, warrant-bearing and euro legacy currency securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until\nthe end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A0HYM2","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US High Yield Index Option-Adjusted Spread","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:26-05","popularity":100,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Option-Adjusted Spreads (OASs) are the calculated spreads between a computed OAS index of all bonds in a given rating category and a spot Treasury curve. An OAS index is constructed using each constituent bond's OAS, weighted by market capitalization. The ICE BofA High Yield Master II OAS uses an index of bonds that are below investment grade (those rated BB or below).\nThis data represents the ICE BofA US High Yield Index value, which tracks the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. To qualify for inclusion in the index, securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch) and an investment grade rated country of risk (based on an average of Moody's, S&P, and Fitch foreign currency long term sovereign debt ratings). Each security must have greater than 1 year of remaining maturity, a fixed coupon schedule, and a minimum amount outstanding of $100 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and US domestic bond markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. DRD-eligible and defaulted securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until the end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nWhen the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPVPRIVSLCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Issuers US Emerging Markets Liquid Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:25-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nDue to a possibility of erroneous data, this series has been temporarily suspended.\nThis data represents the effective yield of the ICE BofA Private Sector US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all corporate securities except for the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A2HYBSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Single-B US High Yield Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:18-05","popularity":35,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA US Corporate B Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating B. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMPVPRIVSLCRPIUSTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Private Sector Issuers US Emerging Markets Liquid Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:16-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nDue to a possibility of erroneous data, this series has been temporarily suspended.\nThe ICE BofA Private Sector US Emerging Markets Liquid Corporate Plus Index is a subset of the ICE BofA Emerging Markets Liquid Corporate Plus Index, which includes all corporate securities except for the debt of corporate issuers designated as government owned or controlled by ICE BofA emerging markets credit research. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Liquid Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCLLCRPIUSTRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMUBCRPIUSEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA US Emerging Markets Corporate Plus Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:10-05","popularity":1,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA US Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities denominated in US Dollars. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLEMRECRPIEMEATRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA EMEA Emerging Markets Corporate Plus Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:05:01-05","popularity":2,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThe ICE BofA Europe, the Middle East, and Africa (EMEA) Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities issued by countries associated with the region of Europe, the Middle East and Africa, also including Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https:\/\/fred.stlouisfed.org\/series\/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLHYH0A2BTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Single-B US High Yield Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:04:52-05","popularity":21,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA US Corporate B Index value, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating B. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A3HYCSYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA CCC & Lower US High Yield Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:04:44-05","popularity":31,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA US Corporate C Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating CCC or below. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payments with frequencies of annual, semi-annual, quarterly, and monthly.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLHYH0A3CMTRIV","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA CCC & Lower US High Yield Index Total Return Index Value","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:04:35-05","popularity":41,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the ICE BofA US Corporate C Index value, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating CCC or below. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLHE00EHYISYTW","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Euro High Yield Index Semi-Annual Yield to Worst","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:04:26-05","popularity":31,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the semi-annual yield to worst of the ICE BofA Euro High Yield Index tracks the performance of Euro denominated below investment grade corporate debt publicly issued in the euro domestic or eurobond markets. Qualifying securities must have a below investment grade rating (based on an average of Moody's, S&P, and Fitch). Qualifying securities must have at least one year remaining term to maturity, a fixed coupon schedule, and a minimum amount outstanding of Euro 100 million. Original issue zero coupon bonds, \"global\" securities (debt issued simultaneously in the eurobond and euro domestic markets), 144a securities and pay-in-kind securities, including toggle notes, qualify for inclusion in the Index. Callable perpetual securities qualify provided they are at least one year from the first call date. Fixed-to-floating rate securities also qualify provided they are callable within the fixed rate period and are at least one year from the last call prior to the date the bond transitions from a fixed to a floating rate security. Defaulted, warrant-bearing and euro legacy currency securities are excluded from the Index.\n\nICE BofA Explains the Construction Methodology of this series as:\nIndex constituents are capitalization-weighted based on their current amount outstanding. With the exception of U.S. mortgage pass-throughs and U.S. structured products (ABS, CMBS and CMOs), accrued interest is calculated assuming next-day settlement. Accrued interest for U.S. mortgage pass-through and U.S. structured products is calculated assuming same-day settlement. Cash flows from bond payments that are received during the month are retained in the index until\nthe end of the month and then are removed as part of the rebalancing. Cash does not earn any reinvestment income while it is held in the Index. The Index is rebalanced on the last calendar day of the month, based on information available up to and including the third business day before the last business day of the month. Issues that meet the qualifying criteria are included in the Index for the following month. Issues that no longer meet the criteria during the course of the month remain in the Index until the next month-end rebalancing at which point they are removed from the Index.\n\nYield to worst is the lowest potential yield that a bond can generate without the issuer defaulting. The standard US convention for this series is to use semi-annual coupon payments, whereas the standard in the foreign markets is to use coupon payment frequencies of annual, semi-annual, quarterly, and monthly. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"BAMLH0A2HYBEY","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"ICE BofA Single-B US High Yield Index Effective Yield","observation_start":"2023-07-04","observation_end":"2026-07-02","frequency":"Daily, Close","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 11:04:16-05","popularity":67,"notes":"Starting in April 2026, this series will only include 3 years of observations. For more data, go to the source.\n\nThis data represents the effective yield of the ICE BofA US Corporate B Index, a subset of the ICE BofA US High Yield Master II Index tracking the performance of US dollar denominated below investment grade rated corporate debt publicly issued in the US domestic market. This subset includes all securities with a given investment grade rating B. When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.\n\nCertain indices and index data included in FRED are the property of ICE Data Indices, LLC (\u201cICE DATA\u201d) and used under license. ICE\u00ae IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA\u00ae IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (\u201cBOFA\u201d) AND MAY NOT BE USED WITHOUT BOFA\u2019S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND\/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN \u201cAS IS\u201d BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.\n\nCopyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.\n\nThe end of day Index values, Index returns, and Index statistics (\u201cTop Level Data\u201d) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data.\nNeither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages.\nThe Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions.\nYou shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data.\nICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith.\nYou shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose.\nAccess to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason.\nICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use.\nThe FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers."},{"id":"ACTLISCOU11460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ann Arbor, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1033","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Colbert County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1077","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lauderdale County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1097","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Mobile County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1125","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Tuscaloosa County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kent County, DE","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Alexandria, MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1095","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Marshall County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Amarillo, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Amsterdam, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12017","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Citrus County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Atchison, KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1073","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jefferson County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1089","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Madison County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1103","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Morgan County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1121","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Talladega County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12061","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Indian River County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Astoria, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ardmore, OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12009","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brevard County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:55-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13157","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jackson County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12071","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lee County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":11,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12097","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Osceola County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13057","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cherokee County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13117","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Forsyth County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13313","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Whitfield County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12083","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Marion County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bay City, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Beatrice, NE (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13245","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Richmond County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13295","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Walker County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13223","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Paulding County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12085","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Martin County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Auburn, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13127","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Glynn County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13215","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Muscogee County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:54-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Athens, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bellingham, WA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Blacksburg-Christiansburg-Radford, VA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Anchorage, AK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bloomsburg-Berwick, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Alpena, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Billings, MT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1069","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Houston County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10005","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Sussex County, DE","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Borger, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1117","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Shelby County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brevard, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bremerton-Silverdale, WA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1101","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Montgomery County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Boulder, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":5,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Aberdeen, SD (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Albertville, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Albuquerque, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":13,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1081","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lee County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:53-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Champaign-Urbana, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Burlington, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Angola, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Campbellsville, KY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12069","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lake County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17031","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cook County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":7,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Atlanta-Sandy Springs-Roswell, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":33,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Altus, OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Burlington, IA-IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11680","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Arkansas City-Winfield, KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Arcadia, FL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1031","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Coffee County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12087","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Monroe County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Athens, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1127","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Walker County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12055","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Highlands County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ada County, ID","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":5,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ames, IA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Chico, CA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:52-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17113","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Mclean County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10003","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in New Castle County, DE","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12105","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Polk County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17097","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lake County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Autauga County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Akron, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1071","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jackson County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17093","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kendall County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17063","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Grundy County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17095","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Knox County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Abilene, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Adrian, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1055","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Etowah County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12115","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Sarasota County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":17,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Albany-Schenectady-Troy, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Anniston-Oxford-Jacksonville, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Aberdeen, WA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ashland, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1045","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dale County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12035","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Flagler County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17115","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Macon County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:51-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17183","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Vermilion County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1043","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cullman County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12023","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Columbia County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clearlake, CA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cleveland, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bartlesville, OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Augusta-Waterville, ME (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17177","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Stephenson County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17143","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Peoria County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Albert Lea, MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12053","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hernando County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Alamogordo, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12019","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clay County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bangor, ME (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1083","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Limestone County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Albany, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12081","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Manatee County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":6,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Alachua County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":6,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Albany, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:50-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Albemarle, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18035","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Delaware County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12073","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Leon County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Atlantic City-Hammonton, NJ (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12057","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hillsborough County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12005","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bay County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17201","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Winnebago County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12127","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Volusia County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12086","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Miami-Dade County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":37,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Auburn, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12031","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Duval County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Austin-Round Rock, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":45,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Allentown-Bethlehem-Easton, PA-NJ (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18053","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Grant County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Batesville, AR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in District of Columbia","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18043","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Floyd County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Baraboo, WI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:49-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12107","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Putnam County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12091","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Okaloosa County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Barnstable Town, MA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12011","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Broward County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":27,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18059","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hancock County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12119","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Sumter County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18057","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hamilton County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13089","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in DeKalb County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Athens, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13051","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Chatham County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Arkadelphia, AR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Appleton, WI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13073","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Columbia County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Altoona, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1113","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Russell County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bakersfield, CA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Barre, VT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12117","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Seminole County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":6,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13067","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cobb County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:48-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12095","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Orange County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18063","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hendricks County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13095","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dougherty County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13175","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Laurens County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13285","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Troup County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Big Rapids, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12103","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Pinellas County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1003","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Baldwin County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13021","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bibb County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13039","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Camden County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18141","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Joseph County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Austin, MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12101","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Pasco County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Battle Creek, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13031","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bulloch County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Beeville, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12131","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Walton County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Athens-Clarke County, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:47-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13135","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gwinnett County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":5,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Corning, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bay City, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12113","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Santa Rosa County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Columbus, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":22,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bennington, VT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13139","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hall County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13015","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bartow County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1009","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Blount County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18105","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Monroe County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Augusta-Richmond County, GA-SC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1015","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Calhoun County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ada, OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Baton Rouge, LA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19045","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clinton County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bemidji, MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13185","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lowndes County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1051","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Elmore County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Batavia, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:46-05","popularity":0,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13013","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Barrow County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13059","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clarke County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13115","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Floyd County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Alma, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Americus, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13255","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Spalding County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13077","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Coweta County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Beaver Dam, WI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Crescent City, CA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13129","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gordon County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dallas-Fort Worth-Arlington, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":45,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bogalusa, LA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU1115","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Clair County, AL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13247","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Rockdale County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13045","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Carroll County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18880","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Crestview-Fort Walton Beach-Destin, FL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Alice, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU10780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Alexandria, LA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Boise City, ID (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":11,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13217","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Newton County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:45-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Birmingham-Hoover, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":6,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19061","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dubuque County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13153","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Houston County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Branson, MO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12015","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Charlotte County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Decatur, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Binghamton, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13151","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Henry County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bellefontaine, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Asheville, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":10,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Decatur, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Boone, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13179","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Liberty County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Beckley, WV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Big Spring, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13297","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Walton County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dalton, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU11380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Andrews, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:44-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Burlington-South Burlington, VT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15009","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Maui County, HI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bedford, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bismarck, ND (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brownsville-Harlingen, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brookings, SD (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12033","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Escambia County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12099","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Palm Beach County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":21,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Blytheville, AR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bowling Green, KY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12021","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Collier County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Denver-Aurora-Lakewood, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":45,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12109","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Johns County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":5,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12111","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Lucie County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bluefield, WV-VA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12089","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Nassau County, FL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Blackfoot, ID (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Auburn-Opelika, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:43-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brainerd, MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Burley, ID (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Boston-Cambridge-Newton, MA-NH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":43,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cambridge, MD (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cape Girardeau, MO-IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14720","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Breckenridge, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16055","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kootenai County, ID","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Centralia, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bozeman, MT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21059","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Daviess County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16027","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Canyon County, ID","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dickinson, ND (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13047","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Catoosa County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Baltimore-Columbia-Towson, MD (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":5,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU12460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bainbridge, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20173","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Sedgwick County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in El Dorado, AR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Carbondale-Marion, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bloomington, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21037","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Campbell County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:42-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Celina, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15007","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kauai County, HI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hawaii County, HI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13063","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clayton County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Casper, WY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Buffalo-Cheektowaga-Niagara Falls, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13121","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fulton County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cape Coral-Fort Myers, FL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":21,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21120","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Elk City, OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Chattanooga, TN-GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":13,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brunswick, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17089","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kane County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13097","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Douglas County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brownwood, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bridgeport-Stamford-Norwalk, CT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Carlsbad-Artesia, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Carson City, NV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Chicago-Naperville-Elgin, IL-IN-WI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":29,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Calhoun, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Elkins, WV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17029","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Coles County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:41-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Camden, AR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13103","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Effingham County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17141","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ogle County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":0,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Coldwater, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17119","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Madison County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cedar City, UT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18011","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Boone County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bend-Redmond, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17091","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kankakee County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Butte-Silver Bow, MT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13113","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fayette County, GA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cambridge, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16005","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bannock County, ID","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Enterprise, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14010","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bloomington, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cadillac, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21209","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Scott County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cleveland, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Canon City, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU13140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Beaumont-Port Arthur, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Charleston, WV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:40-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brenham, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clarksville, TN-KY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17019","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Champaign County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fairbanks, AK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in College Station-Bryan, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18081","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Johnson County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Columbia, SC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU2170","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Matanuska-Susitna Borough, AK","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18003","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Allen County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Espanola, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Acadia Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Canton, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brookings, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Charlottesville, VA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17117","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Macoupin County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17111","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Mchenry County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU14620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bradford, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18089","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lake County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fairmont, WV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:39-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cedar Rapids, IA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16019","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bonneville County, ID","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Centralia, WA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clarksburg, WV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18039","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Elkhart County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Charlotte-Concord-Gastonia, NC-SC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":34,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Columbus, NE (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cincinnati, OH-KY-IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":8,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Canton-Massillon, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17043","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Du Page County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Brookhaven, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bucyrus, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17179","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Tazewell County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18091","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in La Porte County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22063","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Livingston Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Columbus, GA-AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22079","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Rapides Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU15003","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Honolulu County\/city, HI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18093","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lawrence County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:38-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16083","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Twin Falls County, ID","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clovis, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Charleston-North Charleston, SC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cedartown, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18167","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Vigo County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22109","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Terrebonne Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18157","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Tippecanoe County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Coeur D'alene, ID (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18005","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bartholomew County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22089","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Charles Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18097","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Marion County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Chambersburg-Waynesboro, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Concord, NH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Coos Bay, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cortland, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Columbus, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Charleston-Mattoon, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU16940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cheyenne, WY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cornelia, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:37-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19103","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Johnson County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23240","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fredericksburg, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gallup, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Decatur, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18029","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dearborn County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fort Wayne, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Coshocton, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gainesville, FL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":15,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17037","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in DeKalb County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22113","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Vermilion Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Crossville, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Columbia, MO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19169","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Story County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18065","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Henry County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22103","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Tammany Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cookeville, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22520","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Florence-Muscle Shoals, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19163","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Scott County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18067","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Howard County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:36-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dubuque, IA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Deltona-Daytona Beach-Ormond Beach, FL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Des Moines-West Des Moines, IA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17073","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Henry County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17161","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Rock Island County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24033","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Prince George's County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Glasgow, KY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Danville, KY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19153","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Polk County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Detroit-Warren-Dearborn, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dumas, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Adams County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Deming, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Garden City, KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20169","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Saline County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU2020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Anchorage Borough\/municipality, AK","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17195","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Whiteside County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17167","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Sangamon County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:35-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17099","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in La Salle County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20209","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Wyandotte County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Corpus Christi, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17197","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Will County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Edwards, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17199","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Williamson County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Effingham, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18095","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Madison County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Davenport-Moline-Rock Island, IA-IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24031","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Montgomery County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Crawfordsville, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17077","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jackson County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Chillicothe, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19181","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Warren County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18109","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Morgan County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24017","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Charles County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19760","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Deridder, LA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Corvallis, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21015","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Boone County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:34-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clinton, IA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20015","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Butler County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20103","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Leavenworth County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Colorado Springs, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":15,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25009","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Essex County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18177","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Wayne County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dublin, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clarksdale, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25005","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bristol County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18163","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Vanderburgh County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Connersville, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21067","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fayette County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24045","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Wicomico County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24640","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greenfield Town, MA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17163","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Clair County, IL","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU17500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clewiston, FL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Elizabethtown-Fort Knox, KY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:33-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Corinth, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Columbus, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18127","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Porter County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25021","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Norfolk County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Duncan, OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21199","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Pulaski County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21185","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Oldham County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18019","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clark County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25015","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hampshire County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25200","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hailey, ID (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21145","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Mccracken County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Daphne-Fairhope-Foley, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20045","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Douglas County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Corsicana, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19155","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Pottawattamie County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dubois, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18085","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kosciusko County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19113","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Linn County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Danville, VA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Easton, MD (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:32-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Elizabeth City, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Erie, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Evansville, IN-KY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Duluth, MN-WI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21019","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Boyd County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Guymon, OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19049","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dallas County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18173","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Warrick County, IN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22055","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lafayette Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22057","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lafourche Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU2090","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fairbanks North Star Borough, AK","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21111","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jefferson County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21093","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hardin County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19033","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cerro Gordo County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":0,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dothan, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20155","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Reno County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cordele, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in El Campo, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU18980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cullman, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cumberland, MD-WV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:31-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26055","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Grand Traverse County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Emporia, KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hannibal, MO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hilton Head Island-Bluffton-Beaufort, SC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26015","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Barry County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19013","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Black Hawk County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Defiance, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hickory-Lenoir-Morganton, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Enid, OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hereford, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21047","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Christian County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Danville, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26067","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ionia County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21107","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hopkins County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in El Paso, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hanford-Corcoran, CA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Eugene, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25880","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hillsdale, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ellensburg, WA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:30-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Douglas, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22097","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Landry Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Elmira, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26111","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Midland County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22005","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ascension Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Durham-Chapel Hill, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":6,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22051","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jefferson Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19193","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Woodbury County, IA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20177","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Shawnee County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dixon, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26139","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ottawa County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26159","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Van Buren County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dodge City, KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22015","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bossier Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fargo, ND-MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22019","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Calcasieu Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fallon, NV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Houston-the Woodlands-Sugar Land, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:29-05","popularity":35,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Durant, OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Farmington, MO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22045","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Iberia Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22115","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Vernon Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Idaho Falls, ID (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Findlay, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dover, DE (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Huntsville, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":14,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fayetteville-Springdale-Rogers, AR-MO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22105","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Tangipahoa Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Eagle Pass, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fayetteville, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22073","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ouachita Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU19620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Del Rio, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20091","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Johnson County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":9,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22071","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Orleans Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dyersburg, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20161","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Riley County, KS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22099","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Martin Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Flint, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:28-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24015","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cecil County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Eau Claire, WI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23019","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Penobscot County, ME","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hutchinson, MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gainesville, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21073","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Franklin County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27025","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Chisago County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27027","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clay County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Flagstaff, AZ (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fergus Falls, MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hutchinson, KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in El Centro, CA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fort Collins, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fitzgerald, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ithaca, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Durango, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU20700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in East Stroudsburg, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fort Smith, AR-OK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gillette, WY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:27-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23031","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in York County, ME","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21029","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bullitt County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fort Dodge, IA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24100","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gloversville, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Johnstown, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Goldsboro, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Grand Rapids-Wyoming, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21117","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kenton County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21101","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Henderson County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21125","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Laurel County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jacksonville, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Johnson City, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Elkhart-Goshen, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22800","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fort Madison-Keokuk, IA-IL-MO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fort Leonard Wood, MO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jackson, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21113","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jessamine County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:26-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greenwood, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Escanaba, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28071","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lafayette County, MS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21151","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Madison County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fond Du Lac, WI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21227","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Warren County, KY","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greenwood, SC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greeley, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greensboro-High Point, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":5,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Forest City, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Elko, NV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Eureka-Arcata-Fortuna, CA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22033","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in East Baton Rouge Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greenville-Anderson-Mauldin, SC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":12,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU21740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Evanston, WY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fremont, NE (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kansas City, MO-KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":17,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kill Devil Hills, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kingsville, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:25-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26017","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Bay County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22017","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Caddo Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kingsport-Bristol-Bristol, TN-VA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fort Morgan, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26005","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Allegan County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU29510","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Louis City, MO","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Frankfort, KY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22101","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Mary Parish, LA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fremont, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23005","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cumberland County, ME","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Frankfort, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Fresno, CA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Farmington, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU29031","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cape Girardeau County, MO","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Faribault-Northfield, MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25013","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hampden County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU29660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Laramie, WY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:24-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Allegany County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Florence, SC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gettysburg, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gadsden, AL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU30013","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cascade County, MT","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU30049","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lewis and Clark County, MT","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU22620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Forrest City, AR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gainesville, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23011","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kennebec County, ME","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24003","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Anne Arundel County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Galesburg, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU29780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Las Vegas, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Freeport, IL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Androscoggin County, ME","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24025","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Harford County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24300","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Grand Junction, CO (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:23-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25001","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Barnstable County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24009","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Calvert County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24005","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Baltimore County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gardnerville Ranchos, NV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24043","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Washington County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25027","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Worcester County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greensburg, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24013","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Carroll County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greenville, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24027","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Howard County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":5,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26037","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Clinton County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU30031","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gallatin County, MT","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Great Falls, MT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24510","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Baltimore City, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":4,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24021","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Frederick County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":8,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Grand Island, NE (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU23500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gaffney, SC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Glens Falls, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:22-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26117","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Montcalm County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Grants Pass, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25011","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Franklin County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Great Bend, KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Grand Forks, ND-MN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU31019","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Buffalo County, NE","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU30820","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lock Haven, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26049","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Genesee County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26025","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Calhoun County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24035","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Queen Anne's County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hartford-West Hartford-East Hartford, CT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25060","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Gulfport-Biloxi-Pascagoula, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greenville, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26161","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Washtenaw County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24047","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Worcester County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24037","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Mary's County, MD","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hagerstown-Martinsburg, MD-WV (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU30860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Logan, UT-ID (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greeneville, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Homosassa Springs, FL (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:21-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Huron, SD (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Green Bay, WI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Greenville, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25023","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Plymouth County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":2,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Harrison, AR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25780","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Henderson, NC (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25003","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Berkshire County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU24980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Grenada, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25420","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Harrisburg-Carlisle, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU32020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Marion, OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU31980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Marion, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26163","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Wayne County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Huntingdon, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25025","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Suffolk County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25017","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Middlesex County, MA","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":7,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26340","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Houghton, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hammond, LA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU31220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ludington, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU31740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Manhattan, KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:20-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25720","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Heber, UT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26073","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Isabella County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU32031","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Washoe County, NV","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hattiesburg, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25500","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Harrisonburg, VA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27111","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Otter Tail County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26145","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Saginaw County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hastings, NE (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hilo, HI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Huntsville, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25740","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Helena, MT (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jackson, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hobbs, NM (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25700","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hays, KS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25980","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hinesville, GA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26091","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lenawee County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27053","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hennepin County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27035","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Crow Wing County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jasper, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:19-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26380","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Houma-Thibodaux, LA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26045","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Eaton County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26125","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Oakland County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":3,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28045","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hancock County, MS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU25840","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hermiston-Pendleton, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26149","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in St. Joseph County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27003","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Anoka County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26077","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kalamazoo County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26027","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Cass County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28020","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kalamazoo-Portage, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26093","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Livingston County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU32510","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Carson City, NV","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26460","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hudson, NY (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26090","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Holland, MI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU32280","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Martin, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jonesboro, AR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26081","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kent County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26065","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ingham County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Huntington, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:18-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26121","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Muskegon County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27013","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Blue Earth County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27037","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Dakota County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28121","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Rankin County, MS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28180","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kapaa, HI (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26021","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Berrien County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27049","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Goodhue County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26075","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jackson County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27109","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Olmsted County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU33013","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Merrimack County, NH","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26860","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Indiana, PA (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28067","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jones County, MS","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Hood River, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27019","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Carver County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26580","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Huntington-Ashland, WV-KY-OH (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Indianapolis-Carmel-Anderson, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":6,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU32620","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Mccomb, MS (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28260","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Kearney, NE (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26087","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Lapeer County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:17-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27171","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Wright County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27220","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Jackson, WY-ID (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU33140","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Michigan City-LA Porte, IN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28660","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Killeen-Temple, TX (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26115","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Monroe County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28540","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Ketchikan, AK (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28900","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Klamath Falls, OR (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26103","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Marquette County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU26099","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Macomb County, MI","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27145","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Stearns County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU29021","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Buchanan County, MO","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27131","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Rice County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU28940","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Knoxville, TN (CBSA)","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":16,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."},{"id":"ACTLISCOU27163","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Housing Inventory: Active Listing Count in Washington County, MN","observation_start":"2016-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Level","units_short":"Level","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-03 09:30:16-05","popularity":1,"notes":"The count of active single-family and condo\/townhome listings for a given market during the specified month (excludes pending listings).\n\nWith the release of its September 2022 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/).\n\nWith the release of its November 2021 housing trends report, Realtor.com\u00ae incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com\u00ae economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https:\/\/www.realtor.com\/research\/data\/)."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-updates/filter-macro.json b/tests/fixtures/corpus/series-updates/filter-macro.json new file mode 100644 index 0000000..097fdd0 --- /dev/null +++ b/tests/fixtures/corpus/series-updates/filter-macro.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","filter_variable":"geography","filter_value":"macro","order_by":"last_updated","sort_order":"desc","count":48052,"offset":0,"limit":10,"seriess":[{"id":"KCFSI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Kansas City Financial Stress Index","observation_start":"1990-02-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 14:17:21-05","popularity":47,"notes":"Starting with the September 14, 2021, release, the SNL U.S. Bank index, an underlying index used in the calculation of the KCFSI, has been replaced with the S&P U.S. BMI Banks Index on the S&P Capital IQ platform. As the replacement index provides limited historical data, the KCFSI uses predicted values for the S&P U.S. BMI Banks Index between 1989 and 2004, resulting from a linear regression of the replacement index against the original index. This methodology produces highly correlated values of the current KCFSI with previous values, suggesting a minimal effect on the KCFSI. To obtain further information please see: Financial Stress: What Is It, How Can It Be Measured, and Why Does It Matter?. (http:\/\/www.kansascityfed.org\/PUBLICAT\/ECONREV\/pdf\/09q2hakkio_keeton.pdf)"},{"id":"WFHFRACMATREALESTATE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Real Estate, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:26-05","popularity":3,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Real Estate sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATRETAIL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Retail Trade, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:26-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Retail Trade sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATWHOLESALE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Wholesale Trade, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Wholesale Trade sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHCOVIDFRACMATMEN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Men","observation_start":"2020-05-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":7,"notes":"Percent of fully paid days worked from home for US men. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). The September 2023 data point is an average of August and October due to data quality issues in September. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATGOVERNMENT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Government, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":3,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Government sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATUTILITIES","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Utilities, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Utilities sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATHEALTHCARE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Health Care & Social Assistance, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Health Care & Social Assistance sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATTRANSPWAREHOUSI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Transportation & Warehousing, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Transportation & Warehousing sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATFINANCEINSURANC","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Finance & Insurance, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":6,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Finance & Insurance sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-updates/limit10.json b/tests/fixtures/corpus/series-updates/limit10.json new file mode 100644 index 0000000..e944e38 --- /dev/null +++ b/tests/fixtures/corpus/series-updates/limit10.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","filter_variable":"geography","filter_value":"all","order_by":"last_updated","sort_order":"desc","count":155456,"offset":0,"limit":10,"seriess":[{"id":"KCFSI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Kansas City Financial Stress Index","observation_start":"1990-02-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Index","units_short":"Index","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 14:17:21-05","popularity":47,"notes":"Starting with the September 14, 2021, release, the SNL U.S. Bank index, an underlying index used in the calculation of the KCFSI, has been replaced with the S&P U.S. BMI Banks Index on the S&P Capital IQ platform. As the replacement index provides limited historical data, the KCFSI uses predicted values for the S&P U.S. BMI Banks Index between 1989 and 2004, resulting from a linear regression of the replacement index against the original index. This methodology produces highly correlated values of the current KCFSI with previous values, suggesting a minimal effect on the KCFSI. To obtain further information please see: Financial Stress: What Is It, How Can It Be Measured, and Why Does It Matter?. (http:\/\/www.kansascityfed.org\/PUBLICAT\/ECONREV\/pdf\/09q2hakkio_keeton.pdf)"},{"id":"WFHFRACMATREALESTATE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Real Estate, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:26-05","popularity":3,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Real Estate sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATRETAIL","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Retail Trade, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:26-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Retail Trade sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHCOVIDFRACMATMEN","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Men","observation_start":"2020-05-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":7,"notes":"Percent of fully paid days worked from home for US men. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). The September 2023 data point is an average of August and October due to data quality issues in September. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATTRANSPWAREHOUSI","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Transportation & Warehousing, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Transportation & Warehousing sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATHEALTHCARE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Health Care & Social Assistance, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Health Care & Social Assistance sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATWHOLESALE","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Wholesale Trade, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Wholesale Trade sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATUTILITIES","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Utilities, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":2,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Utilities sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATGOVERNMENT","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Government, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":3,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Government sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."},{"id":"WFHFRACMATFINANCEINSURANC","realtime_start":"2026-07-05","realtime_end":"2026-07-05","title":"Work from Home Rate: Finance & Insurance, Wage and Salary Employees","observation_start":"2022-01-01","observation_end":"2026-01-01","frequency":"Annual","frequency_short":"A","units":"Percent of Full Paid Working Days","units_short":"% of Full Paid Working Days","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-05 09:01:25-05","popularity":6,"notes":"Percent of full paid days worked from home for US wage and salary employees in the Finance & Insurance sector. Average obtained from a survey of US workers who earned $10,000 or more in a prior year, reweighted by age, sex, education, and earnings to match the share of individuals in the Current Population Survey (CPS). Data for the latest year use survey responses from months that have ended by the release date. Copyright 2026 by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis. The data are made available under the CC-BY 4.0 license https:\/\/creativecommons.org\/licenses\/by\/4.0\/ (https:\/\/creativecommons.org\/licenses\/by\/4.0\/). When using this work, please cite: Barrero, Jose Maria, Nicholas Bloom, and Steven J. Davis, 2021. 'Why working from home will stick,' National Bureau of Economic Research Working Paper 28731. See https:\/\/www.wfhresearch.com<\/a> for more information."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-vintagedates/ERR_invalid-id.json b/tests/fixtures/corpus/series-vintagedates/ERR_invalid-id.json new file mode 100644 index 0000000..1b4bce6 --- /dev/null +++ b/tests/fixtures/corpus/series-vintagedates/ERR_invalid-id.json @@ -0,0 +1 @@ +{"error_code":400,"error_message":"Bad Request. The series does not exist in ALFRED but may exist in FRED. Try setting realtime_start and realtime_end to today's date or removing the realtime_start and realtime_end variables."} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-vintagedates/GNPCA.json b/tests/fixtures/corpus/series-vintagedates/GNPCA.json new file mode 100644 index 0000000..3af3196 --- /dev/null +++ b/tests/fixtures/corpus/series-vintagedates/GNPCA.json @@ -0,0 +1 @@ +{"realtime_start":"1776-07-04","realtime_end":"9999-12-31","order_by":"vintage_date","sort_order":"asc","count":188,"offset":0,"limit":10000,"vintage_dates":["1958-12-21","1959-02-19","1959-07-19","1960-02-16","1960-07-22","1961-02-19","1961-07-19","1962-02-24","1962-07-20","1963-02-20","1963-07-22","1964-02-20","1964-07-16","1965-01-14","1965-02-17","1965-08-19","1966-01-13","1966-02-15","1966-07-15","1967-01-13","1967-02-17","1967-07-17","1968-01-16","1968-02-15","1968-07-18","1969-01-14","1969-02-14","1969-07-17","1970-01-16","1970-02-13","1970-07-17","1971-01-18","1971-02-12","1971-07-16","1972-01-21","1972-02-18","1972-07-21","1973-01-19","1973-02-20","1973-07-19","1974-01-17","1974-02-20","1974-07-18","1975-01-16","1975-03-20","1976-01-16","1976-01-20","1976-02-19","1976-03-19","1976-07-20","1977-01-18","1977-02-18","1977-03-21","1977-07-21","1978-01-19","1978-02-21","1978-03-20","1978-07-21","1979-01-18","1979-02-22","1979-03-20","1979-07-20","1980-01-18","1980-02-22","1980-03-19","1980-12-23","1981-01-21","1981-02-19","1981-03-18","1982-01-20","1982-02-22","1982-03-19","1982-07-21","1983-01-19","1983-02-22","1983-03-21","1983-07-21","1984-01-20","1984-02-17","1984-03-20","1984-07-23","1985-01-22","1985-02-21","1985-03-21","1985-12-20","1986-01-22","1986-02-20","1986-03-19","1986-07-22","1987-01-22","1987-02-19","1987-03-18","1987-07-24","1988-01-27","1988-02-25","1988-03-23","1988-07-27","1989-01-27","1989-02-28","1989-03-23","1989-07-27","1990-01-26","1990-02-28","1990-03-28","1990-07-27","1991-01-25","1991-02-27","1991-03-27","1991-12-04","1992-02-28","1992-03-26","1992-04-28","1992-07-30","1992-09-24","1992-12-22","1993-03-26","1993-08-31","1994-03-31","1994-07-29","1995-03-31","1996-01-19","1996-04-02","1996-08-01","1997-03-28","1997-04-30","1997-07-31","1998-03-26","1998-07-31","1999-03-31","1999-10-29","2000-03-30","2000-04-03","2000-04-27","2000-07-28","2001-03-29","2001-07-27","2002-03-28","2002-07-31","2003-03-27","2003-12-23","2004-01-30","2004-03-25","2004-07-30","2005-03-30","2005-07-29","2006-03-30","2006-07-28","2007-03-29","2007-07-27","2008-03-27","2008-07-31","2009-03-26","2009-07-31","2009-08-17","2010-03-26","2010-07-30","2011-03-25","2011-07-29","2012-03-29","2012-07-27","2013-03-28","2013-07-31","2014-03-27","2014-07-30","2015-03-27","2015-07-30","2016-03-25","2016-07-29","2017-03-30","2017-07-28","2017-10-27","2018-03-28","2018-07-27","2019-03-28","2019-07-26","2020-03-26","2020-07-30","2021-03-25","2021-07-29","2022-03-30","2022-09-29","2023-03-30","2023-09-28","2024-03-28","2024-09-26","2025-03-27","2025-09-25","2026-04-09"]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series-vintagedates/GNPCA_page-desc.json b/tests/fixtures/corpus/series-vintagedates/GNPCA_page-desc.json new file mode 100644 index 0000000..63e9a76 --- /dev/null +++ b/tests/fixtures/corpus/series-vintagedates/GNPCA_page-desc.json @@ -0,0 +1 @@ +{"realtime_start":"1776-07-04","realtime_end":"9999-12-31","order_by":"vintage_date","sort_order":"desc","count":188,"offset":5,"limit":10,"vintage_dates":["2023-09-28","2023-03-30","2022-09-29","2022-03-30","2021-07-29","2021-03-25","2020-07-30","2020-03-26","2019-07-26","2019-03-28"]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/CPIAUCSL.json b/tests/fixtures/corpus/series/CPIAUCSL.json new file mode 100644 index 0000000..d64d13c --- /dev/null +++ b/tests/fixtures/corpus/series/CPIAUCSL.json @@ -0,0 +1 @@ +{"realtime_start":"2026-06-10","realtime_end":"2026-06-10","seriess":[{"id":"CPIAUCSL","realtime_start":"2026-06-10","realtime_end":"2026-06-10","title":"Consumer Price Index for All Urban Consumers: All Items in U.S. City Average","observation_start":"1947-01-01","observation_end":"2026-05-01","frequency":"Monthly","frequency_short":"M","units":"Index 1982-1984=100","units_short":"Index 1982-1984=100","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-06-10 08:20:52-05","popularity":97,"notes":"The Consumer Price Index for All Urban Consumers: All Items (CPIAUCSL) is a price index of a basket of goods and services paid by urban consumers. Percent changes in the price index measure the inflation rate between any two time periods. The most common inflation metric is the percent change from one year ago. It can also represent the buying habits of urban consumers. This particular index includes roughly 88 percent of the total population, accounting for wage earners, clerical workers, technical workers, self-employed, short-term workers, unemployed, retirees, and those not in the labor force.\r\n\r\nThe CPIs are based on prices for food, clothing, shelter, and fuels; transportation fares; service fees (e.g., water and sewer service); and sales taxes. Prices are collected monthly from about 4,000 housing units and approximately 26,000 retail establishments across 87 urban areas. To calculate the index, price changes are averaged with weights representing their importance in the spending of the particular group. The index measures price changes (as a percent change) from a predetermined reference date. In addition to the original unadjusted index distributed, the Bureau of Labor Statistics also releases a seasonally adjusted index. The unadjusted series reflects all factors that may influence a change in prices. However, it can be very useful to look at the seasonally adjusted CPI, which removes the effects of seasonal changes, such as weather, school year, production cycles, and holidays.\r\n\r\nThe CPI can be used to recognize periods of inflation and deflation. Significant increases in the CPI within a short time frame might indicate a period of inflation, and significant decreases in CPI within a short time frame might indicate a period of deflation. However, because the CPI includes volatile food and oil prices, it might not be a reliable measure of inflationary and deflationary periods. For a more accurate detection, the core CPI (CPILFESL (https:\/\/fred.stlouisfed.org\/series\/CPILFESL)) is often used. When using the CPI, please note that it is not applicable to all consumers and should not be used to determine relative living costs. Additionally, the CPI is a statistical measure vulnerable to sampling error since it is based on a sample of prices and not the complete average.\r\n\r\nFor more information on the CPI, see the Handbook of Methods (https:\/\/www.bls.gov\/opub\/hom\/cpi\/), the release notes and announcements (https:\/\/www.bls.gov\/cpi\/), and the Frequently Asked Questions (https:\/\/www.bls.gov\/cpi\/questions-and-answers.htm) (FAQs)."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/DEXCAUS.json b/tests/fixtures/corpus/series/DEXCAUS.json new file mode 100644 index 0000000..27a6951 --- /dev/null +++ b/tests/fixtures/corpus/series/DEXCAUS.json @@ -0,0 +1 @@ +{"realtime_start":"2026-06-29","realtime_end":"2026-06-29","seriess":[{"id":"DEXCAUS","realtime_start":"2026-06-29","realtime_end":"2026-06-29","title":"Canadian Dollars to U.S. Dollar Spot Exchange Rate","observation_start":"1971-01-04","observation_end":"2026-06-26","frequency":"Daily","frequency_short":"D","units":"Canadian Dollars to One U.S. Dollar","units_short":"Canadian $ to 1 U.S. $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-06-29 15:16:21-05","popularity":65,"notes":"data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h10\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/DGS10.json b/tests/fixtures/corpus/series/DGS10.json new file mode 100644 index 0000000..a0259db --- /dev/null +++ b/tests/fixtures/corpus/series/DGS10.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-02","realtime_end":"2026-07-02","seriess":[{"id":"DGS10","realtime_start":"2026-07-02","realtime_end":"2026-07-02","title":"Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity, Quoted on an Investment Basis","observation_start":"1962-01-02","observation_end":"2026-07-01","frequency":"Daily","frequency_short":"D","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 15:16:22-05","popularity":99,"notes":"H.15 Statistical Release (https:\/\/www.federalreserve.gov\/releases\/h15\/current\/h15.pdf) notes and Treasury Yield Curve Methodology (https:\/\/www.treasury.gov\/resource-center\/data-chart-center\/interest-rates\/Pages\/yieldmethod.aspx).\n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/ERR_bad-api-key.json b/tests/fixtures/corpus/series/ERR_bad-api-key.json new file mode 100644 index 0000000..ddfe196 --- /dev/null +++ b/tests/fixtures/corpus/series/ERR_bad-api-key.json @@ -0,0 +1 @@ +{"error_code":400,"error_message":"Bad Request. The value for variable api_key is not registered. Read https:\/\/fred.stlouisfed.org\/docs\/api\/api_key.html for more information."} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/ERR_invalid-id.json b/tests/fixtures/corpus/series/ERR_invalid-id.json new file mode 100644 index 0000000..893af70 --- /dev/null +++ b/tests/fixtures/corpus/series/ERR_invalid-id.json @@ -0,0 +1 @@ +{"error_code":400,"error_message":"Bad Request. The series does not exist."} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/FEDFUNDS.json b/tests/fixtures/corpus/series/FEDFUNDS.json new file mode 100644 index 0000000..15388c3 --- /dev/null +++ b/tests/fixtures/corpus/series/FEDFUNDS.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-01","realtime_end":"2026-07-01","seriess":[{"id":"FEDFUNDS","realtime_start":"2026-07-01","realtime_end":"2026-07-01","title":"Federal Funds Effective Rate","observation_start":"1954-07-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-01 15:16:34-05","popularity":98,"notes":" Daily Federal Funds Rate from 1928-1954 (https:\/\/fred.stlouisfed.org\/categories\/33951).\n\nThe federal funds rate is the interest rate at which depository institutions trade federal funds (balances held at Federal Reserve Banks) with each other overnight. When a depository institution has surplus balances in its reserve account, it lends to other banks in need of larger balances. In simpler terms, a bank with excess cash, which is often referred to as liquidity, will lend to another bank that needs to quickly raise liquidity. (1) The rate that the borrowing institution pays to the lending institution is determined between the two banks; the weighted average rate for all of these types of negotiations is called the effective federal funds rate.(2) The effective federal funds rate is essentially determined by the market but is influenced by the Federal Reserve as it uses the Interest on Reserve Balances rate to steer the federal funds rate toward the target range.(2)\n\nThe Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target range. The Fed's primary tool for influencing the federal funds rate is the interest the Fed pays on the funds that banks hold as reserve balances at their Federal Reserve Bank, which is the Interest on Reserves Balances (IORB) rate. Because banks are unlikely to lend funds in the federal funds market for less than they get paid in their reserve balance account at the Federal Reserve, the Interest on Reserve Balances (IORB) is an effective tool for guiding the federal funds rate. (3) Whether the Federal Reserve raises or lowers the target range for the federal funds rate depends on the state of the economy. If the FOMC believes the economy is growing too fast and inflation pressures are inconsistent with the dual mandate of the Federal Reserve, the Committee may temper economic activity by raising the target range for federal funds rate, and increasing the IORB rate to steer the federal funds rate into the target range. In the opposing scenario, the FOMC may spur greater economic activity by lowering the target range for federal funds rate, and decreasing the IORB rate to steer the federal funds rate into the target range. (3) Therefore, the FOMC must observe the current state of the economy to determine the best course of monetary policy that will maximize economic growth while adhering to the dual mandate set forth by Congress. In making its monetary policy decisions, the FOMC considers a wealth of economic data, such as: trends in prices and wages, employment, consumer spending and income, business investments, and foreign exchange markets.\n\nThe federal funds rate is the central interest rate in the U.S. financial market. It influences other interest rates such as the prime rate, which is the rate banks charge their customers with higher credit ratings. Additionally, the federal funds rate indirectly influences longer- term interest rates such as mortgages, loans, and savings, all of which are very important to consumer wealth and confidence.(2)\n\nReferences\n(1) Federal Reserve Bank of New York. \"Federal funds.\" Fedpoints, August 2007.\n(2) Monetary Policy (https:\/\/www.federalreserve.gov\/monetarypolicy.htm), Board of Governors of the Federal Reserve System.\n(3) The Fed Explained (https:\/\/www.federalreserve.gov\/aboutthefed\/files\/the-fed-explained.pdf), Board of Governors of the Federal Reserve System\n\nFor further information, see The Fed's New Monetary Policy Tools (https:\/\/www.stlouisfed.org\/publications\/page-one-economics\/2020\/08\/03\/the-feds-new-monetary-policy-tools), Page One Economics, Federal Reserve Bank of St. Louis. \n\nFor questions on the data, please contact the data source (https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%). For questions on FRED functionality, please contact us here (https:\/\/fred.stlouisfed.org\/contactus\/).<\/p>"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/GDP.json b/tests/fixtures/corpus/series/GDP.json new file mode 100644 index 0000000..cb2b8c1 --- /dev/null +++ b/tests/fixtures/corpus/series/GDP.json @@ -0,0 +1 @@ +{"realtime_start":"2026-06-25","realtime_end":"2026-06-25","seriess":[{"id":"GDP","realtime_start":"2026-06-25","realtime_end":"2026-06-25","title":"Gross Domestic Product","observation_start":"1947-01-01","observation_end":"2026-01-01","frequency":"Quarterly","frequency_short":"Q","units":"Billions of Dollars","units_short":"Bil. of $","seasonal_adjustment":"Seasonally Adjusted Annual Rate","seasonal_adjustment_short":"SAAR","last_updated":"2026-06-25 07:50:52-05","popularity":92,"notes":"BEA Account Code: A191RC\n\nGross domestic product (GDP), the featured measure of U.S. output, is the market value of the goods and services produced by labor and property located in the United States.For more information, see the Guide to the National Income and Product Accounts of the United States (NIPA) and the Bureau of Economic Analysis (http:\/\/www.bea.gov\/national\/pdf\/nipaguid.pdf)."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/GNPCA.json b/tests/fixtures/corpus/series/GNPCA.json new file mode 100644 index 0000000..c975209 --- /dev/null +++ b/tests/fixtures/corpus/series/GNPCA.json @@ -0,0 +1 @@ +{"realtime_start":"2026-05-30","realtime_end":"2026-05-30","seriess":[{"id":"GNPCA","realtime_start":"2026-05-30","realtime_end":"2026-05-30","title":"Real Gross National Product","observation_start":"1929-01-01","observation_end":"2025-01-01","frequency":"Annual","frequency_short":"A","units":"Billions of Chained 2017 Dollars","units_short":"Bil. of Chn. 2017 $","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-04-09 07:53:12-05","popularity":15,"notes":"BEA Account Code: A001RX\n\n"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/MORTGAGE30US.json b/tests/fixtures/corpus/series/MORTGAGE30US.json new file mode 100644 index 0000000..0cd4845 --- /dev/null +++ b/tests/fixtures/corpus/series/MORTGAGE30US.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-02","realtime_end":"2026-07-02","seriess":[{"id":"MORTGAGE30US","realtime_start":"2026-07-02","realtime_end":"2026-07-02","title":"30-Year Fixed Rate Mortgage Average in the United States","observation_start":"1971-04-02","observation_end":"2026-07-02","frequency":"Weekly, Ending Thursday","frequency_short":"W","units":"Percent","units_short":"%","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2026-07-02 11:02:15-05","popularity":98,"notes":"On November 17, 2022, Freddie Mac changed the methodology of the Primary Mortgage Market Survey\u00ae (PMMS\u00ae). The weekly mortgage rate is now based on applications submitted to Freddie Mac from lenders across the country. For more information regarding Freddie Mac\u2019s enhancement, see their research note (https:\/\/www.freddiemac.com\/research\/insight\/20221103-freddie-macs-newly-enhanced-mortgage-rate-survey).\n\nData are provided \u201cas is\u201d by Freddie Mac\u00ae, with no warranties of any kind, express or implied, including but not limited to warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user\u2019s sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages.\n\nCopyright, 2016, Freddie Mac. Reprinted with permission."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/TWEXB.json b/tests/fixtures/corpus/series/TWEXB.json new file mode 100644 index 0000000..347b787 --- /dev/null +++ b/tests/fixtures/corpus/series/TWEXB.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-03","realtime_end":"2026-07-03","seriess":[{"id":"TWEXB","realtime_start":"2026-07-03","realtime_end":"2026-07-03","title":"Trade Weighted U.S. Dollar Index: Broad, Goods (DISCONTINUED)","observation_start":"1995-01-04","observation_end":"2020-01-01","frequency":"Weekly, Ending Wednesday","frequency_short":"W","units":"Index Jan 1997=100","units_short":"Index Jan 1997=100","seasonal_adjustment":"Not Seasonally Adjusted","seasonal_adjustment_short":"NSA","last_updated":"2020-01-06 15:49:01-06","popularity":43,"notes":"Averages of daily figures. A weighted average of the foreign exchange value of the U.S. dollar against the currencies of a broad group of major U.S. trading partners.\r\nBroad currency index includes the Euro Area, Canada, Japan, Mexico, China, United Kingdom, Taiwan, Korea, Singapore, Hong Kong, Malaysia, Brazil, Switzerland, Thailand, Philippines, Australia, Indonesia, India, Israel, Saudi Arabia, Russia, Sweden, Argentina, Venezuela, Chile and Colombia.\r\nFor more information about trade-weighted indexes, please refer to the Board of Governors (http:\/\/www.federalreserve.gov\/pubs\/bulletin\/2005\/winter05_index.pdf)."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/UNRATE.json b/tests/fixtures/corpus/series/UNRATE.json new file mode 100644 index 0000000..112622c --- /dev/null +++ b/tests/fixtures/corpus/series/UNRATE.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-02","realtime_end":"2026-07-02","seriess":[{"id":"UNRATE","realtime_start":"2026-07-02","realtime_end":"2026-07-02","title":"Unemployment Rate","observation_start":"1948-01-01","observation_end":"2026-06-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2026-07-02 08:31:40-05","popularity":96,"notes":"The unemployment rate represents the number of unemployed as a percentage of the labor force. Labor force data are restricted to people 16 years of age and older, who currently reside in 1 of the 50 states or the District of Columbia, who do not reside in institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces.\r\n\r\nThis rate is also defined as the U-3 measure of labor underutilization.\r\n\r\nThe series comes from the 'Current Population Survey (Household Survey)'\r\n\r\nThe source code is: LNS14000000"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/series/UNRATE_realtime-2000.json b/tests/fixtures/corpus/series/UNRATE_realtime-2000.json new file mode 100644 index 0000000..4fc55ca --- /dev/null +++ b/tests/fixtures/corpus/series/UNRATE_realtime-2000.json @@ -0,0 +1 @@ +{"realtime_start":"2000-01-01","realtime_end":"2000-12-31","seriess":[{"id":"UNRATE","realtime_start":"2000-01-01","realtime_end":"2000-12-31","title":"Civilian Unemployment Rate","observation_start":"1948-01-01","observation_end":"2000-11-01","frequency":"Monthly","frequency_short":"M","units":"Percent","units_short":"%","seasonal_adjustment":"Seasonally Adjusted","seasonal_adjustment_short":"SA","last_updated":"2005-06-08 15:25:17-05","popularity":97,"notes":"Persons 16 years of age and older.\n\nThe Bureau of Labor Statistics (BLS) announced several revisions to the Household Survey on Friday Feb.7th 2003, with the release of the January 2003 Data. They introduced the Census 2000 population controls (which affect data back to 2000 and cause a break in the data in January 2000), a new seasonal adjustment procedure, and new seasonal factors back to January 1998. For further information contact the Current Employment Statistics (CES) homepage at www.bls.gov\/ces or by calling 202-691-6555."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/source-releases/1.json b/tests/fixtures/corpus/source-releases/1.json new file mode 100644 index 0000000..a424d89 --- /dev/null +++ b/tests/fixtures/corpus/source-releases/1.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"release_id","sort_order":"asc","count":37,"offset":0,"limit":1000,"releases":[{"id":3,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Treasury International Capital: Continuous Securities Long Term (SLT)","press_release":false,"link":"https:\/\/home.treasury.gov\/data\/treasury-international-capital-tic-system"},{"id":5,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Survey of Household Economics and Decisionmaking (SHED)","press_release":false,"link":"https:\/\/www.federalreserve.gov\/consumerscommunities\/shed.htm"},{"id":13,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.17 Industrial Production and Capacity Utilization","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/g17\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g17\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":14,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.19 Consumer Credit","press_release":true,"link":"https:\/\/www.federalreserve.gov\/releases\/g19\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g19\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":15,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.5 Foreign Exchange Rates","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/g5\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g5\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":17,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.10 Foreign Exchange Rates","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h10\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h10\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":18,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.15 Selected Interest Rates","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h15\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h15\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":19,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.3 Aggregate Reserves of Depository Institutions and the Monetary Base","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h3\/","notes":"The Board of Governors discontinued the H.3 statistical release on September 17, 2020. For more information, please see the announcement posted on August 20, 2020 (https:\/\/www.federalreserve.gov\/feeds\/h3.html)."},{"id":20,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.4.1 Factors Affecting Reserve Balances","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h41\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h41\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":21,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.6 Money Stock Measures","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h6\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h6\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":22,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.8 Assets and Liabilities of Commercial Banks in the United States","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h8\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/h8\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":52,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Z.1 Financial Accounts of the United States","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/z1\/","notes":"The Financial Accounts (formerly known as the Flow of Funds accounts) are a set of financial accounts used to track the sources and uses of funds by sector. They are a component of a system of macroeconomic accounts including the National Income and Product accounts (NIPA) and balance of payments accounts, all of which serve as a comprehensive set of information on the economy\u2019s performance.(1) Some important inferences that can be drawn from the Financial accounts are the financial strength of a given sector, new economic trends, changes in the composition of wealth, and development of new financial instruments over time.(1)\r\nSectors are compiled into three categories: households, nonfinancial businesses, and banks. The sources of funds for a sector are its internal funds (savings from income after consumption) and external funds (loans from banks and other financial intermediaries). (1) Funds for a given sector are used for its investments in physical and financial assets. Dividing sources and uses of funds into two categories helps the staff of the Federal Reserve System pay particular attention to external sources of funds and financial uses of funds.(2) One example is whether households are borrowing more from banks\u2014or in other words, whether household debt is rising. Another example might be whether banks are using more of their funds to provide loans to consumers. Transactions within a sector are not shown in the accounts; however, transactions between sectors are.(2) Monitoring the external flows of funds provides insights into a sector\u2019s health and the performance of the economy as a whole. \r\nData for the Financial accounts are compiled from a large number of reports and publications, including regulatory reports such as those submitted by banks, tax filings, and surveys conducted by the Federal Reserve System.(2) The Financial accounts are published quarterly as a set of tables in the Federal Reserve\u2019s Z.1 statistical release.\r\n(1)\tTeplin, Albert M. \u201cThe U.S. Flow of Funds Accounts and Their Uses.\u201d Federal Reserve Bulletin, July 2001; http:\/\/www.federalreserve.gov\/pubs\/bulletin\/2001\/0701lead.pdf.\r\n(2)\tBoard of Governors of the Federal Reserve System. \u201cGuide to the Flow of Funds Accounts.\u201d 2000, http:\/\/www.federalreserve.gov\/apps\/fof\/.\r\n\r\nFor questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/z1\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":86,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Commercial Paper","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/cp\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/cp\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":89,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Household Debt Service Ratios","press_release":true,"link":"https:\/\/www.federalreserve.gov\/releases\/DSR\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/housedebt\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":101,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"FOMC Press Release","press_release":true,"link":"http:\/\/www.federalreserve.gov\/fomc\/"},{"id":103,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Discount Rate Meeting Minutes","press_release":true,"link":"http:\/\/www.federalreserve.gov\/monetarypolicy\/discountrate.htm"},{"id":104,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Federal Reserve Bulletin","press_release":true,"link":"https:\/\/www.federalreserve.gov\/publications\/bulletin.htm"},{"id":106,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"M2 Own Rate","press_release":false},{"id":121,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.6 Historical Data","press_release":false,"link":"http:\/\/www.federalreserve.gov\/releases\/h6\/hist\/"},{"id":122,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"H.4.1 Factors Affecting Reserve Balances (data not included in press release)","press_release":false},{"id":131,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.13 Selected Interest Rates","press_release":true,"link":"http:\/\/federalreserve.gov\/releases\/g13\/","notes":"With the issue dated January 8, 2002 (containing data for December 2001), the Federal Reserve ceased publication of the monthly G.13 statistical release. Monthly interest rates continue to be available on the H.15 release."},{"id":170,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Foreign Exchange Intervention","press_release":false},{"id":185,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Interest Rate on Reserve Balances","press_release":false,"link":"http:\/\/www.federalreserve.gov\/monetarypolicy\/reqresbalances.htm","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/monetarypolicy\/reserve-balances.htm\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":186,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.5A Foreign Exchange Rates","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/g5a\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g5a\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":191,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Senior Loan Officer Opinion Survey on Bank Lending Practices","press_release":true,"link":"http:\/\/www.federalreserve.gov\/boarddocs\/SnLoanSurvey\/","notes":"For further information, please refer to the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices release, online at http:\/\/www.federalreserve.gov\/boarddocs\/SnLoanSurvey\/.\r\nFor questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/data\/SLOOS%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":216,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"E.2 Survey of Terms of Business Lending","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/e2\/","notes":"The Board of Governors has discontinued the Survey of Terms of Business Lending (STBL) and the associated E.2 release. The final STBL was conducted in May 2017, and the final E.2 was released on August 2, 2017. The STBL has been replaced by a new Small Business Lending Survey that commenced in February 2018. The new survey is being managed and administered by the Federal Reserve Bank of Kansas City. Results from this new survey can be found at https:\/\/www.kansascityfed.org\/surveys\/small-business-lending-survey\/2020q1-small-business-commercial-and-industrial-loan-balances-increase-year-over-year\/\r\n\r\nThese data were collected during the middle month of each quarter and were released in the middle of the succeeding month."},{"id":231,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Charge-Off and Delinquency Rates on Loans and Leases at Commercial Banks","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/chargeoff\/default.htm","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/chargeoff\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":245,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Summary Measures of the Foreign Exchange Value of the Dollar","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/h10\/summary\/default.htm"},{"id":311,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Currency and Coin Services","press_release":false,"link":"http:\/\/www.federalreserve.gov\/paymentsystems\/coin_data.htm"},{"id":316,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.20 Finance Companies","press_release":true,"link":"http:\/\/www.federalreserve.gov\/releases\/g20\/","notes":"For questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/releases\/g20\/%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":337,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Federal Reserve Board of Governors Labor Market Conditions Index","press_release":false,"link":"http:\/\/www.federalreserve.gov\/econresdata\/notes\/feds-notes\/2014\/updating-the-labor-market-conditions-index-20141001.html","notes":"As of August 3, 2017, updates of the labor market conditions index (LMCI) have been discontinued; the July 7, 2017 vintage is the final estimate from this model. We decided to stop updating the LMCI because we believe it no longer provides a good summary of changes in U.S. labor market conditions. Specifically, model estimates turned out to be more sensitive to the detrending procedure than we had expected, the measurement of some indicators in recent years has changed in ways that significantly degraded their signal content, and including average hourly earnings as an indicator did not provide a meaningful link between labor market conditions and wage growth.\r\n\r\nThe LMCI is derived from a dynamic factor model that extracts the primary common variation from 19 labor market indicators."},{"id":354,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"An Arbitrage-Free Three-Factor Term Structure Model and the Recent Behavior of Long-Term Yields and Distant-Horizon Forward Rates","press_release":false,"link":"https:\/\/www.federalreserve.gov\/data\/three-factor-nominal-term-structure-model.htm","notes":"This research reviews a simple three-factor arbitrage-free term structure model estimated by Federal Reserve Board staff and reports results obtained from fitting this model to U.S. Treasury yields since 1990. The model ascribes a large portion of the decline in long-term yields and distant-horizon forward rates since the middle of 2004 to a fall in term premiums. A variant of the model that incorporates inflation data indicates that about two-thirds of the decline in nominal term premiums owes to a fall in real term premiums, but estimated compensation for inflation risk has diminished as well."},{"id":388,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Banking and Monetary Statistics, 1914-1941","press_release":false,"link":"https:\/\/fraser.stlouisfed.org\/title\/38","notes":"Contains banking and monetary statistics previously appearing in the Annual Reports of the Board of Governors of the Federal Reserve and the Federal Reserve Bulletin. Includes data on the condition and operation of all banks as well as statistics on non-bank financial institutions, currency, money rates, securities, consumer credit, gold, and international financial developments."},{"id":396,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.17.2 Retail Instalment Credit at Furniture and Household Appliance Stores","press_release":true},{"id":453,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Distributional Financial Accounts","press_release":false,"link":"https:\/\/www.federalreserve.gov\/releases\/efa\/efa-distributional-financial-accounts.htm","notes":"The Distributional Financial Accounts (DFAs) provide a quarterly measure of the distribution of U.S. household wealth since 1989, based on a comprehensive integration of disaggregated household-level wealth data with official aggregate wealth measures. The data set contains the level and share of each balance sheet item on the Financial Accounts' household wealth table (Table B.101.h), for each of four percentile groups of wealth: the top 1 percent, the next 9 percent (i.e., 90th to 99th percentile), the next 40 percent (50th to 90th percentile), and the bottom half (below the 50th percentile). The quarterly frequency makes the data useful for studying the business cycle dynamics of wealth concentration--which are typically difficult to observe in lower-frequency data because peaks and troughs often fall between times of measurement. These data will be updated about 10 or 11 weeks after the end of each quarter, making them a timely measure of the distribution of wealth."},{"id":460,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Seasonal Factors for Domestic Auto and Truck Production","press_release":true,"link":"https:\/\/www.federalreserve.gov\/releases\/g17\/mvsf.htm"},{"id":571,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Senior Credit Officer Opinion Survey on Dealer Financing Terms","press_release":true,"link":"https:\/\/www.federalreserve.gov\/data\/scoos.htm","notes":"The Senior Credit Officer Opinion Survey on Dealer Financing Terms (SCOOS) is a quarterly survey providing information about the availability and terms of credit in securities financing and over-the counter (OTC) derivatives markets, which are important conduits for leverage in the financial system. The participating institutions account for most of the dealer financing of dollar-denominated securities to non-dealers and are the most active intermediaries in OTC derivatives markets. The survey is directed to senior credit officers responsible for maintaining a consolidated perspective on the management of credit risks. For further information, please refer to the SCOOS release at the Board of Governor\u2019s website: www.federalreserve.gov\/data\/scoos.htm. \r\n\r\nIMPORTANT: Although the raw data series are constructed as counts for each offered response to a survey question, the data are intended to be viewed as grouped by question, rather than by individual responses. We recommend that it be accessed through the below release table for appropriate context.\r\n\r\nFor questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/data\/scoos%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/source-releases/1_page-desc.json b/tests/fixtures/corpus/source-releases/1_page-desc.json new file mode 100644 index 0000000..1c0d04b --- /dev/null +++ b/tests/fixtures/corpus/source-releases/1_page-desc.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"release_id","sort_order":"desc","count":37,"offset":0,"limit":5,"releases":[{"id":571,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Senior Credit Officer Opinion Survey on Dealer Financing Terms","press_release":true,"link":"https:\/\/www.federalreserve.gov\/data\/scoos.htm","notes":"The Senior Credit Officer Opinion Survey on Dealer Financing Terms (SCOOS) is a quarterly survey providing information about the availability and terms of credit in securities financing and over-the counter (OTC) derivatives markets, which are important conduits for leverage in the financial system. The participating institutions account for most of the dealer financing of dollar-denominated securities to non-dealers and are the most active intermediaries in OTC derivatives markets. The survey is directed to senior credit officers responsible for maintaining a consolidated perspective on the management of credit risks. For further information, please refer to the SCOOS release at the Board of Governor\u2019s website: www.federalreserve.gov\/data\/scoos.htm. \r\n\r\nIMPORTANT: Although the raw data series are constructed as counts for each offered response to a survey question, the data are intended to be viewed as grouped by question, rather than by individual responses. We recommend that it be accessed through the below release table for appropriate context.\r\n\r\nFor questions on the data, please contact the data source: https:\/\/www.federalreserve.gov\/apps\/ContactUs\/feedback.aspx?refurl=\/data\/scoos%\r\nFor questions on FRED functionality, please contact: https:\/\/fred.stlouisfed.org\/contactus\/"},{"id":460,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Seasonal Factors for Domestic Auto and Truck Production","press_release":true,"link":"https:\/\/www.federalreserve.gov\/releases\/g17\/mvsf.htm"},{"id":453,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Distributional Financial Accounts","press_release":false,"link":"https:\/\/www.federalreserve.gov\/releases\/efa\/efa-distributional-financial-accounts.htm","notes":"The Distributional Financial Accounts (DFAs) provide a quarterly measure of the distribution of U.S. household wealth since 1989, based on a comprehensive integration of disaggregated household-level wealth data with official aggregate wealth measures. The data set contains the level and share of each balance sheet item on the Financial Accounts' household wealth table (Table B.101.h), for each of four percentile groups of wealth: the top 1 percent, the next 9 percent (i.e., 90th to 99th percentile), the next 40 percent (50th to 90th percentile), and the bottom half (below the 50th percentile). The quarterly frequency makes the data useful for studying the business cycle dynamics of wealth concentration--which are typically difficult to observe in lower-frequency data because peaks and troughs often fall between times of measurement. These data will be updated about 10 or 11 weeks after the end of each quarter, making them a timely measure of the distribution of wealth."},{"id":396,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"G.17.2 Retail Instalment Credit at Furniture and Household Appliance Stores","press_release":true},{"id":388,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Banking and Monetary Statistics, 1914-1941","press_release":false,"link":"https:\/\/fraser.stlouisfed.org\/title\/38","notes":"Contains banking and monetary statistics previously appearing in the Annual Reports of the Board of Governors of the Federal Reserve and the Federal Reserve Bulletin. Includes data on the condition and operation of all banks as well as statistics on non-bank financial institutions, currency, money rates, securities, consumer credit, gold, and international financial developments."}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/source/1.json b/tests/fixtures/corpus/source/1.json new file mode 100644 index 0000000..00da49d --- /dev/null +++ b/tests/fixtures/corpus/source/1.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","sources":[{"id":1,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Board of Governors of the Federal Reserve System (US)","link":"https:\/\/www.federalreserve.gov"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/source/3.json b/tests/fixtures/corpus/source/3.json new file mode 100644 index 0000000..56f3aaa --- /dev/null +++ b/tests/fixtures/corpus/source/3.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","sources":[{"id":3,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Federal Reserve Bank of Philadelphia","link":"https:\/\/www.philadelphiafed.org\/"}]} \ No newline at end of file diff --git a/tests/fixtures/corpus/source/ERR_invalid-id.json b/tests/fixtures/corpus/source/ERR_invalid-id.json new file mode 100644 index 0000000..0f8fe7e --- /dev/null +++ b/tests/fixtures/corpus/source/ERR_invalid-id.json @@ -0,0 +1 @@ +{"error_code":400,"error_message":"Bad Request. The source does not exist."} \ No newline at end of file diff --git a/tests/fixtures/corpus/sources/default.json b/tests/fixtures/corpus/sources/default.json new file mode 100644 index 0000000..bc59dc8 --- /dev/null +++ b/tests/fixtures/corpus/sources/default.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"source_id","sort_order":"asc","count":121,"offset":0,"limit":1000,"sources":[{"id":1,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Board of Governors of the Federal Reserve System (US)","link":"https:\/\/www.federalreserve.gov"},{"id":2,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Federal Reserve Banks (Fed Small Business)","link":"https:\/\/www.fedsmallbusiness.org"},{"id":3,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Federal Reserve Bank of Philadelphia","link":"https:\/\/www.philadelphiafed.org\/"},{"id":4,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"Federal Reserve Bank of St. Louis","link":"http:\/\/www.stlouisfed.org\/"},{"id":5,"realtime_start":"2026-07-05","realtime_end":"2026-07-05","name":"U.S. Department of the Treasury. 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+{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_count","sort_order":"desc","count":8,"offset":0,"limit":1000,"tags":[{"name":"annual","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":92,"series_count":492392},{"name":"monthly","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":93,"series_count":223676},{"name":"quarterly","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":84,"series_count":110028},{"name":"daily","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":70,"series_count":11592},{"name":"weekly","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":64,"series_count":3544},{"name":"semiannual","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":36,"series_count":2010},{"name":"5 year (freq)","group_id":"freq","notes":"5 Year Frequency","created":"2014-05-20 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b/tests/fixtures/corpus/tags/search-quarterly.json new file mode 100644 index 0000000..5f05e0e --- /dev/null +++ b/tests/fixtures/corpus/tags/search-quarterly.json @@ -0,0 +1 @@ +{"realtime_start":"2026-07-05","realtime_end":"2026-07-05","order_by":"series_count","sort_order":"desc","count":4,"offset":0,"limit":20,"tags":[{"name":"quarterly","group_id":"freq","notes":"","created":"2012-02-27 10:18:19-06","popularity":84,"series_count":109836},{"name":"qcew","group_id":"rls","notes":"Quarterly Census of Employment & Wages","created":"2015-09-16 08:12:07-05","popularity":40,"series_count":7698},{"name":"qfr","group_id":"rls","notes":"Quarterly Financial Report","created":"2017-11-06 11:42:54-06","popularity":36,"series_count":2500},{"name":"qna","group_id":"rls","notes":"Quarterly National Accounts","created":"2012-08-16 15:21:17-05","popularity":27,"series_count":56}]} \ No newline at end of file diff --git a/tests/test_api.py b/tests/test_api.py new file mode 100644 index 0000000..eb8aa45 --- /dev/null +++ b/tests/test_api.py @@ -0,0 +1,430 @@ +"""Tests for the public sync surface: totality, routing, signatures.""" + +from __future__ import annotations + +import inspect +import json +from datetime import date +from pathlib import Path +from typing import Any, Final + +import pytest + +from fredq import api +from fredq._core import map_http_error +from fredq.commands import COMMANDS_BY_NAME +from fredq.exceptions import FredApiError, FredClientUsageError, FredRequestError +from fredq.frames import Observations +from fredq.models import ( + CategoriesResult, + CategoryInfo, + ReleaseDatesResult, + ReleaseInfo, + ReleaseSourcesResult, + ReleasesResult, + ReleaseTablesResult, + SeriesInfo, + SeriesListResult, + SourceInfo, + SourcesResult, + TagsResult, + VintageDatesResult, +) + +CORPUS: Final[Path] = Path(__file__).parent / "fixtures" / "corpus" + +# Minimal valid invocation for every public callable, keyed by command. +_CALLS: Final[dict[str, Any]] = { + "series": lambda: api.Series("DGS10").info(), + "series-observations": lambda: api.Series("DGS10").observations(), + "series-vintagedates": lambda: api.Series("DGS10").vintage_dates(), + "series-categories": lambda: api.Series("DGS10").categories(), + "series-tags": lambda: api.Series("DGS10").tags(), + "series-release": lambda: api.Series("DGS10").release(), + "series-search": lambda: api.search_series("monetary"), + "series-search-tags": lambda: api.search_series_tags("monetary"), + "series-search-related-tags": lambda: api.search_series_related_tags( + "monetary", ["usa"] + ), + "series-updates": api.series_updates, + "category": lambda: api.Category(125).info(), + "category-children": lambda: api.Category(125).children(), + "category-related": lambda: api.Category(125).related(), + "category-series": lambda: api.Category(125).series(), + "category-tags": lambda: api.Category(125).tags(), + "category-related-tags": lambda: api.Category(125).related_tags(["usa"]), + "releases": api.releases, + "releases-dates": api.release_calendar, + "release": lambda: api.Release(53).info(), + "release-dates": lambda: api.Release(53).dates(), + "release-series": lambda: api.Release(53).series(), + "release-sources": lambda: api.Release(53).sources(), + "release-tags": lambda: api.Release(53).tags(), + "release-related-tags": lambda: api.Release(53).related_tags(["usa"]), + "release-tables": lambda: api.Release(53).tables(), + "sources": api.sources, + "source": lambda: api.Source(1).info(), + "source-releases": lambda: api.Source(1).releases(), + "tags": api.tags, + "tags-series": lambda: api.tag_series(["usa"]), + "related-tags": lambda: api.related_tags(["usa"]), +} + +# command -> raw function object, for signature introspection. +_FUNCS: Final[dict[str, Any]] = { + "series": api.Series.info, + "series-observations": api.Series.observations, + "series-vintagedates": api.Series.vintage_dates, + "series-categories": api.Series.categories, + "series-tags": api.Series.tags, + "series-release": api.Series.release, + "series-search": api.search_series, + "series-search-tags": api.search_series_tags, + "series-search-related-tags": api.search_series_related_tags, + "series-updates": api.series_updates, + "category": api.Category.info, + "category-children": api.Category.children, + "category-related": api.Category.related, + "category-series": api.Category.series, + "category-tags": api.Category.tags, + "category-related-tags": api.Category.related_tags, + "releases": api.releases, + "releases-dates": api.release_calendar, + "release": api.Release.info, + "release-dates": api.Release.dates, + "release-series": api.Release.series, + "release-sources": api.Release.sources, + "release-tags": api.Release.tags, + "release-related-tags": api.Release.related_tags, + "release-tables": api.Release.tables, + "sources": api.sources, + "source": api.Source.info, + "source-releases": api.Source.releases, + "tags": api.tags, + "tags-series": api.tag_series, + "related-tags": api.related_tags, +} + +_BOUND_IDS: Final[frozenset[str]] = frozenset( + {"series_id", "category_id", "release_id", "source_id"} +) + +# Per-command stub payloads: the SMALLEST ok corpus capture for each +# command, so routing tests exercise real wire shapes as endpoints flip +# from dict to typed models (Part 3 batches update _EXPECTED only). +_STUB_PAYLOADS: Final[dict[str, str]] = { + "series": "series/GNPCA.json", + "series-observations": "series-observations/DEXCAUS_holidays.json", + "series-vintagedates": "series-vintagedates/GNPCA_page-desc.json", + "series-categories": "series-categories/DGS10.json", + "series-tags": "series-tags/DGS10.json", + "series-release": "series-release/DGS10.json", + "series-search": "series-search/monetary_page2.json", + "series-search-tags": "series-search-tags/monetary_filtered.json", + "series-search-related-tags": "series-search-related-tags/monetary_usa.json", + "series-updates": "series-updates/limit10.json", + "category": "category/125.json", + "category-children": "category-children/32991.json", + "category-related": "category-related/32073.json", + "category-series": "category-series/125_page-desc.json", + "category-tags": "category-tags/125_group-gen.json", + "category-related-tags": "category-related-tags/125_services-quarterly.json", + "releases": "releases/page-desc.json", + "releases-dates": "releases-dates/nodata.json", + "release": "release/53.json", + "release-dates": "release-dates/53_desc.json", + "release-series": "release-series/53.json", + "release-sources": "release-sources/53.json", + "release-tags": "release-tags/53.json", + "release-related-tags": "release-related-tags/53_usa.json", + "release-tables": "release-tables/53.json", + "sources": "sources/limit5.json", + "source": "source/1.json", + "source-releases": "source-releases/1_page-desc.json", + "tags": "tags/group-freq.json", + "tags-series": "tags-series/usa-quarterly.json", + "related-tags": "related-tags/usa.json", +} + +# Expected result type per command; dict until that endpoint's batch flips. +_EXPECTED: Final[dict[str, type]] = { + "series": SeriesInfo, + "series-observations": Observations, + "series-categories": CategoriesResult, + "series-tags": TagsResult, + "series-release": ReleaseInfo, + "series-search": SeriesListResult, + "category": CategoryInfo, + "category-children": CategoriesResult, + "category-related": CategoriesResult, + "category-series": SeriesListResult, + "category-tags": TagsResult, + "category-related-tags": TagsResult, + "releases": ReleasesResult, + "releases-dates": ReleaseDatesResult, + "release": ReleaseInfo, + "release-dates": ReleaseDatesResult, + "release-series": SeriesListResult, + "release-sources": ReleaseSourcesResult, + "release-tags": TagsResult, + "release-related-tags": TagsResult, + "sources": SourcesResult, + "source": SourceInfo, + "source-releases": ReleasesResult, + "tags": TagsResult, + "tags-series": SeriesListResult, + "related-tags": TagsResult, + "series-vintagedates": VintageDatesResult, + "series-search-tags": TagsResult, + "series-search-related-tags": TagsResult, + "series-updates": SeriesListResult, + "release-tables": ReleaseTablesResult, +} + + +def test_typed_surface_is_total() -> None: + """Every mapped callable returns a model or Frame — no dicts remain. + + raw() stays dict by design. This is the Part 3 done-criterion pin. + """ + + untyped = set(_CALLS) - set(_EXPECTED) + assert untyped == set(), f"still dict-returning: {sorted(untyped)}" + assert all(expected is not dict for expected in _EXPECTED.values()) + + +def _stub_payload(command_name: str) -> dict[str, Any]: + """Load the registered corpus capture for a command. + + Returns: + dict[str, Any]: The parsed capture payload. + """ + + rel = _STUB_PAYLOADS[command_name] + return json.loads((CORPUS / rel).read_text(encoding="utf-8")) + + +@pytest.fixture +def capture_calls( + monkeypatch: pytest.MonkeyPatch, +) -> list[tuple[str, dict[str, Any]]]: + """Stub the async core; record (command_name, values) per call.""" + + calls: list[tuple[str, dict[str, Any]]] = [] + + async def _fake_call_endpoint( # noqa: RUF029 - coroutine required by call_endpoint's API + command_name: str, *, values: dict[str, Any] + ) -> dict[str, Any]: + calls.append((command_name, dict(values))) + return _stub_payload(command_name) + + core = api._core # pyright: ignore[reportPrivateUsage] + monkeypatch.setattr(core, "call_endpoint", _fake_call_endpoint) + return calls + + +def test_surface_is_total_over_commands() -> None: + """Mapped callables cover every command exactly (spec pin).""" + + mapped = set(_CALLS) + assert mapped == set(COMMANDS_BY_NAME) + assert _FUNCS.keys() == _CALLS.keys() + + +@pytest.mark.parametrize("command_name", sorted(_CALLS)) +def test_every_callable_routes_to_its_command( + command_name: str, capture_calls: list[tuple[str, dict[str, Any]]] +) -> None: + """Each public callable drives exactly its CommandSpec.""" + + result = _CALLS[command_name]() + assert [c[0] for c in capture_calls] == [command_name] + assert isinstance(result, _EXPECTED.get(command_name, dict)) + + +def test_entity_ids_reach_the_wire_values( + capture_calls: list[tuple[str, dict[str, Any]]], +) -> None: + """The bound entity id lands in values under the wire param name.""" + + api.Series(" DGS10 ").info() # constructor strips + api.Category(125).children() + api.Release(53).dates() + api.Source(1).releases() + values = dict(capture_calls) + assert values["series"]["series_id"] == "DGS10" + assert values["category-children"]["category_id"] == 125 # noqa: PLR2004 + assert values["release-dates"]["release_id"] == 53 # noqa: PLR2004 + assert values["source-releases"]["source_id"] == 1 + + +def test_none_kwargs_are_dropped( + capture_calls: list[tuple[str, dict[str, Any]]], +) -> None: + """Unset optional params never reach the request.""" + + api.releases(limit=5) + assert capture_calls[0][1] == {"limit": 5} + + +@pytest.mark.parametrize("command_name", sorted(_FUNCS)) +def test_kwargs_cover_every_wire_param(command_name: str) -> None: + """Each callable exposes exactly its CommandSpec's params (no drift).""" + + func = _FUNCS[command_name] + sig_names = { + p.name for p in inspect.signature(func).parameters.values() if p.name != "self" + } + spec_names = {p.name for p in COMMANDS_BY_NAME[command_name].params} + is_method = "self" in inspect.signature(func).parameters + expected = spec_names - _BOUND_IDS if is_method else spec_names + assert sig_names == expected, command_name + + +def test_raw_routes_to_a_mapped_command( + capture_calls: list[tuple[str, dict[str, Any]]], +) -> None: + """raw() reaches any known command by name, same as the typed surface.""" + + payload = api.raw("series", series_id="GNPCA") + assert payload["seriess"][0]["id"] == "GNPCA" + assert capture_calls == [("series", {"series_id": "GNPCA"})] + + +def test_raw_rejects_unknown_command() -> None: + """A typo'd command name is a usage error, not a KeyError.""" + + with pytest.raises(FredClientUsageError, match="unknown command"): + api.raw("seriess") + + +def test_raw_error_path_maps_corpus_bodies( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """raw()'s failure path maps FRED error bodies like every other call. + + The reference implementation shipped a raw() whose synthetic path + bypassed error mapping; this pins ours against a real corpus body. + """ + + body = (CORPUS / "series" / "ERR_invalid-id.json").read_text(encoding="utf-8") + + async def _raise_and_map( # noqa: RUF029 - coroutine required by call_endpoint's API + command_name: str, # noqa: ARG001 - signature must match call_endpoint's + *, + values: dict[str, Any], # noqa: ARG001 - signature must match call_endpoint's + ) -> dict[str, Any]: + map_http_error(FredRequestError(400, "https://x", body=body)) + message = "unreachable" + raise AssertionError(message) + + core = api._core # pyright: ignore[reportPrivateUsage] + monkeypatch.setattr(core, "call_endpoint", _raise_and_map) + with pytest.raises(FredApiError) as exc_info: + api.raw("series", series_id="ZZZNOTREAL") + assert exc_info.value.error_code == 400 # noqa: PLR2004 + + +def test_repr_is_useful() -> None: + """Entity reprs name the class and id.""" + + assert repr(api.Series("DGS10")) == "Series('DGS10')" + assert repr(api.Category(125)) == "Category(125)" + assert repr(api.Release(53)) == "Release(53)" + assert repr(api.Source(1)) == "Source(1)" + + +def test_observations_meta_and_fetched_at( + capture_calls: list[tuple[str, dict[str, Any]]], +) -> None: + """observations() splits the envelope into meta and stamps fetched_at.""" + + obs = api.Series("DGS10").observations() + assert capture_calls[0][0] == "series-observations" + # Typed envelope from the DEXCAUS_holidays stub capture. + assert obs.meta.units == "lin" + assert obs.meta.count == 13 # noqa: PLR2004 - corpus-pinned + assert obs.fetched_at.tzinfo is not None # aware UTC stamp + + +def test_date_objects_reach_the_wire_as_iso( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A datetime.date through the PUBLIC surface serializes to ISO wire form. + + capture_calls stubs call_endpoint (pre-serialization), so this test + stubs one level lower — the client — to pin the full public promise. + """ + + class _WireStub: + def __init__(self) -> None: + self.params: dict[str, object] = {} + + async def get( + self, + path: str, # noqa: ARG002 + params: dict[str, object], + *, + base_url: str | None = None, # noqa: ARG002 + ) -> str: + self.params = dict(params) + # A full valid capture: the meta envelope must validate now. + rel = _STUB_PAYLOADS["series-observations"] + return (CORPUS / rel).read_text(encoding="utf-8") + + async def aclose(self) -> None: # noqa: PLR6301 - protocol shape + return None + + stub = _WireStub() + core = api._core # pyright: ignore[reportPrivateUsage] + monkeypatch.setattr(core, "_get_client", lambda: stub) + api.Series("DGS10").observations(observation_start=date(2024, 1, 1)) + assert stub.params["observation_start"] == "2024-01-01" + assert stub.params["series_id"] == "DGS10" + + +def _stub_series_payload( + monkeypatch: pytest.MonkeyPatch, payload: dict[str, Any] +) -> None: + """Make the next Series.info() call receive ``payload`` verbatim.""" + + async def _fake( # noqa: RUF029 - coroutine required by call_endpoint's API + command_name: str, # noqa: ARG001 - signature must match call_endpoint's + *, + values: dict[str, Any], # noqa: ARG001 - signature must match call_endpoint's + ) -> dict[str, Any]: + return payload + + core = api._core # pyright: ignore[reportPrivateUsage] + monkeypatch.setattr(core, "call_endpoint", _fake) + + +_UNWRAP_VIOLATIONS: Final[list[tuple[dict[str, Any], str]]] = [ + ({"count": 0}, "got no list"), + ({"seriess": []}, "got 0"), + ({"seriess": [{}, {}]}, "got 2"), + ({"seriess": ["not-an-object"]}, "not an object"), +] + + +@pytest.mark.parametrize( + ("payload", "match"), + _UNWRAP_VIOLATIONS, + ids=["missing-key", "empty-list", "two-records", "non-dict-record"], +) +def test_unwrap_violations_raise_malformed_contract( + monkeypatch: pytest.MonkeyPatch, payload: dict[str, Any], match: str +) -> None: + """Single-entity unwrap violations raise the malformed-response contract. + + Spec pin (Part 3): FredApiError with error_code=None — the same + contract as any other malformed 200. Corpus evidence says success + payloads always carry exactly one record; anything else is drift and + must fail loudly, never index-error or silently mis-parse. + """ + + _stub_series_payload(monkeypatch, payload) + with pytest.raises(FredApiError, match=match) as exc_info: + api.Series("DGS10").info() + assert exc_info.value.error_code is None + assert exc_info.value.status_code is None diff --git a/tests/test_bridge.py b/tests/test_bridge.py new file mode 100644 index 0000000..7609e0d --- /dev/null +++ b/tests/test_bridge.py @@ -0,0 +1,67 @@ +"""Tests for the background-loop sync bridge.""" + +from __future__ import annotations + +import asyncio +import concurrent.futures + +import pytest + +from fredq._bridge import run + + +async def _double(value: int) -> int: + await asyncio.sleep(0) + return value * 2 + + +async def _boom() -> None: # noqa: RUF029 - coroutine required by run()'s API + message = "kaboom" + raise RuntimeError(message) + + +async def _hang() -> None: + await asyncio.sleep(60) + + +def test_run_returns_coroutine_result() -> None: + """run() executes the coroutine and returns its value.""" + + assert run(_double(21)) == 42 # noqa: PLR2004 + + +def test_run_propagates_exceptions() -> None: + """Exceptions raised inside the coroutine surface unchanged.""" + + with pytest.raises(RuntimeError, match="kaboom"): + run(_boom()) + + +def test_run_times_out_and_cancels() -> None: + """A bounded timeout raises instead of hanging forever.""" + + with pytest.raises(concurrent.futures.TimeoutError): + run(_hang(), timeout=0.05) + + +def test_run_reuses_one_loop() -> None: + """Sequential calls share the same background loop.""" + + async def _loop_id() -> int: # noqa: RUF029 - coroutine required by run()'s API + return id(asyncio.get_running_loop()) + + assert run(_loop_id()) == run(_loop_id()) + + +def test_run_works_when_caller_has_a_running_loop() -> None: + """The bridge works from inside an already-running event loop. + + This is the whole point of the bridge: a naive asyncio.run() in the + sync surface would raise 'asyncio.run() cannot be called from a + running event loop' in notebooks/agent runtimes. + """ + + async def _call_sync_api_from_async_context() -> int: # noqa: RUF029 + return run(_double(5)) + + assert asyncio.run(_call_sync_api_from_async_context()) == 10 # noqa: PLR2004 diff --git a/tests/test_cli_architecture.py b/tests/test_cli_architecture.py index ff344df..022213f 100644 --- a/tests/test_cli_architecture.py +++ b/tests/test_cli_architecture.py @@ -1,22 +1,14 @@ -"""Tests for nested subcommand groups and body-to-file output architecture.""" +"""Tests for nested subcommand groups.""" from __future__ import annotations -import argparse import io -import json from typing import TYPE_CHECKING, Final import pytest -from fredq.cli import ( - _set_command_parser, # pyright: ignore[reportPrivateUsage] - _write_body_to_file, # pyright: ignore[reportPrivateUsage] - build_parser, - main, -) +from fredq.cli import build_parser, main from fredq.commands import COMMANDS, CommandSpec -from fredq.params import ParamKind, ParamSpec if TYPE_CHECKING: from pathlib import Path @@ -50,28 +42,6 @@ def _run( return rc, out.getvalue(), err.getvalue() -def _make_file_output_command() -> CommandSpec: - """Return a synthetic output_to_file command for testing.""" - return CommandSpec( - name="test-body-dump", - path="/geofred/shapes/file", - summary="Test body-to-file command.", - description="Synthetic command for body-to-file architecture tests.", - params=( - ParamSpec( - name="shape", - cli_name="shape", - kind=ParamKind.STRING, - help="Shape type.", - required=True, - metavar="SHAPE", - ), - ), - examples=("fredq test-body-dump --shape state --out out.geojson",), - output_to_file=True, - ) - - # --------------------------------------------------------------------------- # Nested subcommand group — architecture tests # --------------------------------------------------------------------------- @@ -120,22 +90,21 @@ def test_group_without_subcommand_exits_2( assert rc == EXIT_USAGE -def test_geofred_no_subcommand_shows_geofred_help( +def test_series_no_subcommand_shows_series_help( monkeypatch: pytest.MonkeyPatch, tmp_path: Path, ) -> None: - """``fredq geofred`` (no subcommand) prints the geofred group help, not root help. + """``fredq series`` (no subcommand) prints the series group help, not root help. - The geofred subcommands must appear; root-only commands like ``releases`` + The series subcommands must appear; root-only commands like ``releases`` and ``category`` must NOT appear. """ - rc, stdout, _ = _run(["geofred"], monkeypatch=monkeypatch, tmp_path=tmp_path) + rc, stdout, _ = _run(["series"], monkeypatch=monkeypatch, tmp_path=tmp_path) assert rc == EXIT_USAGE - # The four geofred subcommands must be listed. - assert "series-group" in stdout - assert "series-data" in stdout - assert "regional-data" in stdout - assert "shapes" in stdout + # A sample of the series subcommands must be listed. + assert "show" in stdout + assert "observations" in stdout + assert "search" in stdout # Root-level-only commands must not bleed into the group help. assert "releases" not in stdout assert "category" not in stdout @@ -177,7 +146,7 @@ def test_all_commands_have_a_group() -> None: (["--api-key", "ROOTKEY", "series", "show", "GNPCA"], "api_key", "ROOTKEY"), (["--no-key-file", "series", "show", "GNPCA"], "no_key_file", True), (["--verbose", "series", "show", "GNPCA"], "verbose", True), - (["--api-key", "K", "geofred", "series-group", "WIPCPI"], "api_key", "K"), + (["--api-key", "K", "release", "show", "53"], "api_key", "K"), # Supplied after the group token (before the leaf) — the reason the group # parser re-registers the globals at all. (["series", "--api-key", "MID", "show", "GNPCA"], "api_key", "MID"), @@ -201,71 +170,12 @@ def test_root_globals_survive_grouped_commands( assert getattr(args, attr) == expected -def test_command_spec_output_to_file_synthetic_true() -> None: - """A CommandSpec with output_to_file=True round-trips the field correctly.""" - cmd = _make_file_output_command() - assert cmd.output_to_file is True - - -# --------------------------------------------------------------------------- -# Body-to-file output — architecture tests via a synthetic CommandSpec -# --------------------------------------------------------------------------- - - -def test_output_to_file_command_requires_out() -> None: - """A command with output_to_file=True requires --out (omitting it exits 2).""" - command = _make_file_output_command() - sub_parser = argparse.ArgumentParser() - _set_command_parser(sub_parser, command) - - with pytest.raises(SystemExit) as exc_info: - sub_parser.parse_args(["--shape", "state"]) - assert exc_info.value.code == EXIT_USAGE - - -def test_output_to_file_writes_body_to_file(tmp_path: Path) -> None: - """Body-to-file: response body written verbatim to --out; descriptor on stdout.""" - out_path = tmp_path / "body.geojson" - body = '{"type":"FeatureCollection","features":[]}' - - command = _make_file_output_command() - args = argparse.Namespace( - out_path=out_path, - shape="state", - _body_to_file=True, - ) - out_stream = io.StringIO() - _write_body_to_file(args, body, command, out_stream) - - # File written verbatim. - assert out_path.read_text(encoding="utf-8") == body - - # Descriptor JSON on stdout. - descriptor = json.loads(out_stream.getvalue().strip()) - assert descriptor["command"] == "test-body-dump" - assert descriptor["out"] == str(out_path) - assert descriptor["bytes"] == len(body.encode("utf-8")) - - -def test_output_to_file_descriptor_stdout_format(tmp_path: Path) -> None: - """Descriptor JSON has command, out, and bytes keys.""" - out_path = tmp_path / "test.json" - body = '{"hello": "world"}' - command = _make_file_output_command() - args = argparse.Namespace(out_path=out_path) - out_stream = io.StringIO() - _write_body_to_file(args, body, command, out_stream) - - descriptor = json.loads(out_stream.getvalue().strip()) - assert set(descriptor.keys()) == {"command", "out", "bytes"} - - -def test_non_file_output_command_unchanged( +def test_command_writes_body_to_stdout( httpx_mock: HTTPXMock, monkeypatch: pytest.MonkeyPatch, tmp_path: Path, ) -> None: - """Commands with output_to_file=False (default) still write body to stdout.""" + """A command's response body is written verbatim to stdout.""" body = '{"seriess": [{"id": "GNPCA"}]}' httpx_mock.add_response( method="GET", @@ -281,9 +191,7 @@ def test_non_file_output_command_unchanged( assert stdout.strip() == body -@pytest.mark.parametrize( - "group", ["series", "category", "release", "source", "tag", "geofred"] -) +@pytest.mark.parametrize("group", ["series", "category", "release", "source", "tag"]) def test_bare_group_prints_help_exits_2( group: str, monkeypatch: pytest.MonkeyPatch, diff --git a/tests/test_cli_geofred.py b/tests/test_cli_geofred.py deleted file mode 100644 index 570a14f..0000000 --- a/tests/test_cli_geofred.py +++ /dev/null @@ -1,378 +0,0 @@ -"""CLI endpoint tests for the GeoFRED (Maps) API commands.""" - -from __future__ import annotations - -import io -import json -from typing import TYPE_CHECKING, Final - -import pytest - -from fredq.cli import main - -if TYPE_CHECKING: - from pathlib import Path - - from tests.conftest import HTTPXMock - -EXIT_USAGE: Final[int] = 2 -EXIT_OK: Final[int] = 0 - -_BASE = "https://api.stlouisfed.org" -_KEY_SUFFIX = "&api_key=secret&file_type=json" - - -def _run( - args: list[str], - *, - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> tuple[int, str, str]: - """Run main() with a fake API key and home dir. - - Returns: - tuple[int, str, str]: (exit code, stdout, stderr). - """ - monkeypatch.setenv("FRED_API_KEY", "secret") - monkeypatch.setenv("HOME", str(tmp_path)) - monkeypatch.setenv("USERPROFILE", str(tmp_path)) - out = io.StringIO() - err = io.StringIO() - rc = main(args, stdout=out, stderr=err) - return rc, out.getvalue(), err.getvalue() - - -# --------------------------------------------------------------------------- -# geofred series-group -# --------------------------------------------------------------------------- - - -def test_geofred_series_group_happy_path( - httpx_mock: HTTPXMock, - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> None: - """Geofred series-group returns raw JSON body.""" - body = '{"series_group":{"series_id":"WIPCPI","season":"NSA","frequency":"a"}}' - httpx_mock.add_response( - method="GET", - url=(f"{_BASE}/geofred/series/group?series_id=WIPCPI{_KEY_SUFFIX}"), - text=body, - ) - rc, stdout, _ = _run( - ["geofred", "series-group", "WIPCPI"], - monkeypatch=monkeypatch, - tmp_path=tmp_path, - ) - assert rc == EXIT_OK - assert '"series_group"' in stdout - - -def test_geofred_series_group_missing_series_id_exits_2() -> None: - """Geofred series-group exits 2 when positional series_id is omitted.""" - with pytest.raises(SystemExit) as exc_info: - main(["geofred", "series-group"], stdout=io.StringIO(), stderr=io.StringIO()) - assert exc_info.value.code == EXIT_USAGE - - -# --------------------------------------------------------------------------- -# geofred series-data -# --------------------------------------------------------------------------- - - -def test_geofred_series_data_happy_path( - httpx_mock: HTTPXMock, - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> None: - """Geofred series-data returns raw JSON body.""" - body = '{"meta":{},"data":[]}' - httpx_mock.add_response( - method="GET", - url=( - f"{_BASE}/geofred/series/data" - f"?series_id=WIPCPI&start_date=2020-01-01{_KEY_SUFFIX}" - ), - text=body, - ) - rc, stdout, _ = _run( - [ - "geofred", - "series-data", - "WIPCPI", - "--start-date", - "2020-01-01", - ], - monkeypatch=monkeypatch, - tmp_path=tmp_path, - ) - assert rc == EXIT_OK - assert '"meta"' in stdout - - -def test_geofred_series_data_missing_series_id_exits_2() -> None: - """Geofred series-data exits 2 when positional series_id is omitted.""" - with pytest.raises(SystemExit) as exc_info: - main(["geofred", "series-data"], stdout=io.StringIO(), stderr=io.StringIO()) - assert exc_info.value.code == EXIT_USAGE - - -# --------------------------------------------------------------------------- -# geofred regional-data -# --------------------------------------------------------------------------- - - -def test_geofred_regional_data_happy_path( - httpx_mock: HTTPXMock, - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> None: - """Geofred regional-data returns raw JSON body.""" - body = '{"meta":{},"data":[]}' - httpx_mock.add_response( - method="GET", - url=( - f"{_BASE}/geofred/regional/data" - "?series_group=882®ion_type=state&date=2020-01-01" - f"&season=NSA&frequency=a&units=Dollars{_KEY_SUFFIX}" - ), - text=body, - ) - rc, stdout, _ = _run( - [ - "geofred", - "regional-data", - "882", - "--region-type", - "state", - "--date", - "2020-01-01", - "--season", - "NSA", - "--frequency", - "a", - "--units", - "Dollars", - ], - monkeypatch=monkeypatch, - tmp_path=tmp_path, - ) - assert rc == EXIT_OK - assert '"meta"' in stdout - - -def test_geofred_regional_data_missing_series_group_exits_2() -> None: - """Geofred regional-data exits 2 when positional series_group is omitted.""" - with pytest.raises(SystemExit) as exc_info: - main( - [ - "geofred", - "regional-data", - "--region-type", - "state", - "--date", - "2020-01-01", - "--season", - "NSA", - "--frequency", - "a", - "--units", - "Dollars", - ], - stdout=io.StringIO(), - stderr=io.StringIO(), - ) - assert exc_info.value.code == EXIT_USAGE - - -def test_geofred_regional_data_invalid_region_type_exits_2( - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> None: - """Geofred regional-data rejects an invalid --region-type value.""" - rc, _, err = _run( - [ - "geofred", - "regional-data", - "882", - "--region-type", - "invalid-region", - "--date", - "2020-01-01", - "--season", - "NSA", - "--frequency", - "a", - "--units", - "Dollars", - ], - monkeypatch=monkeypatch, - tmp_path=tmp_path, - ) - assert rc == EXIT_USAGE - assert "unsupported value" in err or "invalid-region" in err - - -def test_geofred_regional_data_invalid_season_exits_2( - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> None: - """Geofred regional-data rejects an invalid --season value.""" - rc, _, err = _run( - [ - "geofred", - "regional-data", - "882", - "--region-type", - "state", - "--date", - "2020-01-01", - "--season", - "BADSEASON", - "--frequency", - "a", - "--units", - "Dollars", - ], - monkeypatch=monkeypatch, - tmp_path=tmp_path, - ) - assert rc == EXIT_USAGE - assert "unsupported value" in err or "BADSEASON" in err - - -def test_geofred_regional_data_invalid_aggregation_method_exits_2( - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> None: - """Geofred regional-data rejects an invalid --aggregation-method value.""" - rc, _, err = _run( - [ - "geofred", - "regional-data", - "882", - "--region-type", - "state", - "--date", - "2020-01-01", - "--season", - "NSA", - "--frequency", - "a", - "--units", - "Dollars", - "--aggregation-method", - "badmethod", - ], - monkeypatch=monkeypatch, - tmp_path=tmp_path, - ) - assert rc == EXIT_USAGE - assert "unsupported value" in err or "badmethod" in err - - -# --------------------------------------------------------------------------- -# geofred shapes -# --------------------------------------------------------------------------- - - -def test_geofred_shapes_happy_path( - httpx_mock: HTTPXMock, - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> None: - """Geofred shapes writes body to file and emits descriptor to stdout.""" - body = '{"type":"FeatureCollection","features":[]}' - out_path = tmp_path / "states.geojson" - httpx_mock.add_response( - method="GET", - url=(f"{_BASE}/geofred/shapes/file?shape=state{_KEY_SUFFIX}"), - text=body, - ) - rc, stdout, _ = _run( - ["geofred", "shapes", "state", "--out", str(out_path)], - monkeypatch=monkeypatch, - tmp_path=tmp_path, - ) - assert rc == EXIT_OK - - # Body written to file verbatim. - assert out_path.exists() - assert out_path.read_text(encoding="utf-8") == body - - # Descriptor on stdout. - descriptor = json.loads(stdout.strip()) - assert descriptor["command"] == "shapes" - assert descriptor["out"] == str(out_path) - assert descriptor["bytes"] == len(body.encode("utf-8")) - - -def test_geofred_shapes_missing_out_exits_2() -> None: - """Geofred shapes exits 2 when --out is omitted.""" - with pytest.raises(SystemExit) as exc_info: - main( - ["geofred", "shapes", "state"], - stdout=io.StringIO(), - stderr=io.StringIO(), - ) - assert exc_info.value.code == EXIT_USAGE - - -def test_geofred_shapes_missing_shape_exits_2() -> None: - """Geofred shapes exits 2 when positional shape is omitted.""" - with pytest.raises(SystemExit) as exc_info: - main( - ["geofred", "shapes", "--out", "out.geojson"], - stdout=io.StringIO(), - stderr=io.StringIO(), - ) - assert exc_info.value.code == EXIT_USAGE - - -def test_geofred_shapes_invalid_shape_exits_2( - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> None: - """Geofred shapes rejects an invalid shape value.""" - rc, _, err = _run( - [ - "geofred", - "shapes", - "invalid-shape", - "--out", - "out.geojson", - ], - monkeypatch=monkeypatch, - tmp_path=tmp_path, - ) - assert rc == EXIT_USAGE - assert "unsupported value" in err or "invalid-shape" in err - - -def test_geofred_shapes_missing_parent_dir_exits_1_with_message( - httpx_mock: HTTPXMock, - monkeypatch: pytest.MonkeyPatch, - tmp_path: Path, -) -> None: - """Geofred shapes exits 1 when the output parent directory does not exist. - - A raw FileNotFoundError traceback must not appear; only a clean stderr - message and exit code 1. - """ - body = '{"type":"FeatureCollection","features":[]}' - # The parent directory "missing-dir" is never created. - out_path = tmp_path / "missing-dir" / "out.geojson" - httpx_mock.add_response( - method="GET", - url=(f"{_BASE}/geofred/shapes/file?shape=state{_KEY_SUFFIX}"), - text=body, - ) - rc, _, err = _run( - ["geofred", "shapes", "state", "--out", str(out_path)], - monkeypatch=monkeypatch, - tmp_path=tmp_path, - ) - assert rc == 1 - # Stderr must mention what went wrong — either the failing path fragment or - # a generic "failed to write" style message. - assert "missing-dir" in err or "failed to write" in err.lower() diff --git a/tests/test_client.py b/tests/test_client.py index f0766c3..52339ad 100644 --- a/tests/test_client.py +++ b/tests/test_client.py @@ -301,3 +301,55 @@ async def _run() -> None: await client.aclose() asyncio.run(_run()) + + +@pytest.mark.asyncio +async def test_request_error_carries_response_body(httpx_mock: HTTPXMock) -> None: + """HTTP errors keep FRED's error body so it can serve as evidence.""" + + error_body = '{"error_code": 400, "error_message": "Bad Request."}' + httpx_mock.add_response( + method="GET", + url=( + "https://api.stlouisfed.org/fred/series?" + "series_id=NOPE&api_key=secret&file_type=json" + ), + status_code=400, + text=error_body, + ) + client = FredClient(api_key="secret") + + try: + with pytest.raises(FredRequestError) as exc_info: + await client.get("/fred/series", {"series_id": "NOPE"}) + finally: + await client.aclose() + + assert exc_info.value.body == error_body + + +@pytest.mark.asyncio +async def test_request_error_body_scrubs_api_key(httpx_mock: HTTPXMock) -> None: + """A body that echoes an api_key parameter is scrubbed before storage.""" + + httpx_mock.add_response( + method="GET", + url=( + "https://api.stlouisfed.org/fred/series?" + "series_id=NOPE&api_key=sk-hush&file_type=json" + ), + status_code=400, + text='{"error_message": "bad url api_key=sk-hush here"}', + ) + client = FredClient(api_key="sk-hush") + + try: + with pytest.raises(FredRequestError) as exc_info: + await client.get("/fred/series", {"series_id": "NOPE"}) + finally: + await client.aclose() + + body = exc_info.value.body + assert body is not None + assert "sk-hush" not in body + assert "api_key=[REDACTED]" in body diff --git a/tests/test_core.py b/tests/test_core.py new file mode 100644 index 0000000..f346943 --- /dev/null +++ b/tests/test_core.py @@ -0,0 +1,337 @@ +"""Tests for the async endpoint core: error contract, config, calls.""" + +from __future__ import annotations + +import json +from datetime import date +from pathlib import Path +from typing import TYPE_CHECKING, Final + +import pytest + +import fredq._core as core +from fredq._bridge import run +from fredq._core import interpret_body, map_http_error +from fredq.exceptions import FredApiError, FredClientUsageError, FredRequestError + +if TYPE_CHECKING: + from collections.abc import Iterator + +CORPUS: Final[Path] = Path(__file__).parent / "fixtures" / "corpus" + + +def _corpus_error(rel: str, status: int) -> FredRequestError: + """Build the exact FredRequestError the client would raise for a capture. + + Returns: + FredRequestError: Error carrying the real corpus body. + """ + + body = (CORPUS / rel).read_text(encoding="utf-8") + return FredRequestError(status, "https://api.stlouisfed.org/x", body=body) + + +def test_http_error_with_fred_shape_maps_to_api_error() -> None: + """A 400 with FRED's error shape becomes FredApiError (corpus-pinned).""" + + exc = _corpus_error("series/ERR_invalid-id.json", 400) + with pytest.raises(FredApiError) as exc_info: + map_http_error(exc) + err = exc_info.value + assert err.status_code == 400 # noqa: PLR2004 + assert err.error_code == 400 # noqa: PLR2004 + assert "does not exist" in err.error_message + assert err.__cause__ is exc + + +def test_http_500_with_fred_shape_maps_to_api_error() -> None: + """A 500 transport status with FRED's error shape still maps (corpus-pinned). + + status_code and error_code are independent: status_code reflects the + HTTP transport response, error_code comes from the body's own + ``error_code`` field. This pins that mapping is by shape, not status. + """ + + exc = _corpus_error("series/ERR_invalid-id.json", 500) + with pytest.raises(FredApiError) as exc_info: + map_http_error(exc) + assert exc_info.value.status_code == 500 # noqa: PLR2004 + assert exc_info.value.error_code == 400 # noqa: PLR2004 + + +def test_no_not_found_subclass_exists() -> None: + """Evidence ruling: FRED's 400 shape is identical for bad key, bad param. + + Missing entity (corpus 2026-07-05) is included too, so a not-found + subclass would require wording-sniffing, which is forbidden. + """ + + import fredq.exceptions as exc_mod # noqa: PLC0415 + + not_foundish = [n for n in dir(exc_mod) if "notfound" in n.lower()] + assert not_foundish == [] + + +def test_http_error_without_shape_reraises_original() -> None: + """A body that is not FRED's error shape leaves FredRequestError alone.""" + + exc = FredRequestError(502, "https://x", body="gateway") + with pytest.raises(FredRequestError) as exc_info: + map_http_error(exc) + assert exc_info.value is exc + + +def test_http_error_without_body_reraises_original() -> None: + """No body at all: the transport-level error stands.""" + + exc = FredRequestError(503, "https://x", body=None) + with pytest.raises(FredRequestError): + map_http_error(exc) + + +def test_interpret_body_parses_ok_payload() -> None: + """A real ok capture parses to its full envelope dict (corpus-pinned).""" + + body = (CORPUS / "series" / "GNPCA.json").read_text(encoding="utf-8") + payload = interpret_body(body) + assert isinstance(payload, dict) + assert "seriess" in payload + + +def test_interpret_body_rejects_malformed_json() -> None: + """A 200 with a non-JSON body raises FredApiError (malformed contract).""" + + with pytest.raises(FredApiError) as exc_info: + interpret_body("corrupt") + assert exc_info.value.error_code is None + assert "not valid JSON" in exc_info.value.error_message + + +def test_interpret_body_rejects_non_object_json() -> None: + """A 200 whose JSON is not an object raises the same contract error.""" + + with pytest.raises(FredApiError): + interpret_body(json.dumps([1, 2, 3])) + + +class _StubClient: + """Records the get() call; returns a canned body. No network.""" + + def __init__(self, body: str = "{}") -> None: + self.body = body + self.calls: list[tuple[str, dict[str, object]]] = [] + self.closed = False + + async def get( + self, + path: str, + params: dict[str, object], + *, + base_url: str | None = None, # noqa: ARG002 + ) -> str: + self.calls.append((path, dict(params))) + return self.body + + async def aclose(self) -> None: + self.closed = True + + +@pytest.fixture(autouse=True) +def _fresh_core() -> Iterator[None]: # pyright: ignore[reportUnusedFunction] + """Reset the module singleton around every test in this file.""" + + core._reset_for_tests() # pyright: ignore[reportPrivateUsage] + yield + core._reset_for_tests() # pyright: ignore[reportPrivateUsage] + + +def _install_stub(monkeypatch: pytest.MonkeyPatch, body: str = "{}") -> _StubClient: + stub = _StubClient(body) + monkeypatch.setattr(core, "_get_client", lambda: stub) + return stub + + +def test_call_endpoint_builds_validated_params( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Typed values serialize to the exact wire spellings the CLI sends.""" + + stub = _install_stub(monkeypatch, body='{"observations": []}') + payload = run( + core.call_endpoint( + "series-observations", + values={ + "series_id": "DGS10", + "observation_start": date(2024, 1, 1), + "frequency": "m", + }, + ) + ) + assert payload == {"observations": []} + path, params = stub.calls[0] + assert path == "/fred/series/observations" + assert params == { + "series_id": "DGS10", + "observation_start": "2024-01-01", + "frequency": "m", + } + + +def test_call_endpoint_serializes_bool_and_csv( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Booleans go as lowercase strings; CSV lists join on the spec separator.""" + + stub = _install_stub(monkeypatch) + run( + core.call_endpoint( + "release-dates", + values={"release_id": 53, "include_release_dates_with_no_data": True}, + ) + ) + assert stub.calls[0][1]["include_release_dates_with_no_data"] == "true" + + run( + core.call_endpoint( + "tags-series", + values={"tag_names": ["usa", "quarterly"]}, + ) + ) + assert stub.calls[1][1]["tag_names"] == "usa;quarterly" + + +def test_call_endpoint_rejects_bool_for_non_boolean_param( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A bool passed to a non-boolean param is a usage error, not `=true`. + + The boolean bypass mirrors the CLI's, but the CLI only ever sees a bool + for a boolean flag (argparse), while a library caller can pass one to + any param. `limit=True` must reach coercion and be rejected locally, + never serialized as `limit=true` and shipped to FRED. + """ + + stub = _install_stub(monkeypatch) + with pytest.raises(FredClientUsageError, match="limit"): + run(core.call_endpoint("releases", values={"limit": True})) + assert stub.calls == [] # rejected before reaching the client + + +def test_call_endpoint_rejects_unknown_param( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A kwarg that is not a wire param of the command is a usage error.""" + + _install_stub(monkeypatch) + with pytest.raises(FredClientUsageError, match="unknown parameter"): + run(core.call_endpoint("series", values={"series_id": "X", "nope": 1})) + + +def test_call_endpoint_rejects_missing_required( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Omitting a required wire param is a usage error, not a FRED 400.""" + + _install_stub(monkeypatch) + with pytest.raises(FredClientUsageError, match="required"): + run(core.call_endpoint("series", values={})) + + +def test_call_endpoint_rejects_invalid_value( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Values run through the same coercion the CLI uses (bounds, choices).""" + + _install_stub(monkeypatch) + with pytest.raises(FredClientUsageError, match="limit"): + run(core.call_endpoint("releases", values={"limit": 0})) # min is 1 + + +def test_call_endpoint_enforces_cross_param_rules( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """CommandSpec cross-parameter rules apply to library calls too. + + series-search declares filter_variable/filter_value as mutually + dependent (commands.py); providing one without the other is a usage + error before any request is sent. + """ + + stub = _install_stub(monkeypatch) + with pytest.raises(FredClientUsageError, match="filter-value"): + run( + core.call_endpoint( + "series-search", + values={"search_text": "gdp", "filter_variable": "frequency"}, + ) + ) + assert stub.calls == [] # rejected before reaching the client + + +def test_call_endpoint_maps_http_errors(monkeypatch: pytest.MonkeyPatch) -> None: + """HTTP failures route through map_http_error (corpus body -> FredApiError).""" + + body = (CORPUS / "series" / "ERR_invalid-id.json").read_text(encoding="utf-8") + + class _ErrClient(_StubClient): + async def get( + self, + path: str, + params: dict[str, object], + *, + base_url: str | None = None, # noqa: ARG002 + ) -> str: + self.calls.append((path, dict(params))) + raise FredRequestError(400, "https://x", body=body) + + def _get_err_client() -> _ErrClient: + return _ErrClient() + + monkeypatch.setattr(core, "_get_client", _get_err_client) + with pytest.raises(FredApiError) as exc_info: + run(core.call_endpoint("series", values={"series_id": "ZZZNOTREAL"})) + assert exc_info.value.error_code == 400 # noqa: PLR2004 + + +def test_configure_before_first_call_only() -> None: + """configure() raises once the shared client exists.""" + + core.configure(api_key="k1") + assert core._get_client() is not None # pyright: ignore[reportPrivateUsage] + with pytest.raises(RuntimeError, match="before the first"): + core.configure(api_key="k2") + + +def test_configure_replace_all_semantics() -> None: + """Each configure() call replaces the entire option set.""" + + core.configure(api_key="k1", timeout=None) + core._reset_for_tests() # pyright: ignore[reportPrivateUsage] + core.configure(api_key="k2") + assert core._client_options == { # pyright: ignore[reportPrivateUsage] + "api_key": "k2", + "timeout": None, + } + + +def test_stringify_joins_lists_on_comma_for_coercion() -> None: + """Lists join on "," — the separator _coerce_csv_param splits on. + + Joining on the wire separator (";") instead would make per-item + validation see one giant token and bypass allowed_values/min_items + checks (review catch). Coercion owns the re-join to the wire form. + """ + + stringify = core._stringify # pyright: ignore[reportPrivateUsage] + assert stringify(["usa", "quarterly"]) == "usa,quarterly" + assert stringify(("a", "b", "c")) == "a,b,c" + + +def test_call_endpoint_rejects_unsupported_value_type( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A param value with no CLI-equivalent spelling is a usage error.""" + + _install_stub(monkeypatch) + with pytest.raises(FredClientUsageError, match="unsupported parameter value"): + run(core.call_endpoint("series", values={"series_id": {"not": "a str"}})) diff --git a/tests/test_corpus.py b/tests/test_corpus.py new file mode 100644 index 0000000..a3a7fbf --- /dev/null +++ b/tests/test_corpus.py @@ -0,0 +1,102 @@ +"""Gates over the committed FRED capture corpus. + +The corpus (tests/fixtures/corpus/) is the only authority for wire +spellings, presence, and types (spec §7). These tests make two guarantees: +no API-key material can land in git, and a manifest "ok" always denotes a +real, parseable capture. +""" + +from __future__ import annotations + +import json +import os +from pathlib import Path +from typing import Any, Final + +import regex + +from fredq.auth import resolve_api_key +from fredq.commands import COMMANDS_BY_NAME +from fredq.exceptions import FredApiKeyMissingError + +CORPUS_DIR: Final[Path] = Path(__file__).parent / "fixtures" / "corpus" + +# api_key= followed by anything except the [REDACTED] marker is a leak. +_KEY_LEAK_RE: Final[regex.Pattern[str]] = regex.compile(r"api_key=(?!\[REDACTED\])\S") + + +def _corpus_text_files() -> list[Path]: + assert CORPUS_DIR.is_dir(), "corpus missing - run `uv run python -m tools.probe`" + return sorted(p for p in CORPUS_DIR.rglob("*") if p.is_file()) + + +def _manifest() -> dict[str, Any]: + return json.loads((CORPUS_DIR / "manifest.json").read_text(encoding="utf-8")) + + +def test_no_api_key_material_in_corpus() -> None: + """SECRET HYGIENE GATE: no key parameter or literal key, anywhere.""" + + real_key = os.environ.get("FRED_API_KEY", "").strip() + + # The env var is the primary lookup, but the local dev key usually + # resolves from the ~/.fredq/api_key fallback file instead (same path + # the probe itself uses). Check both so a file-only key can never slip + # through a corpus commit just because CI has no env var set. + try: + resolved_key = resolve_api_key() + except FredApiKeyMissingError: + resolved_key = "" + + for path in _corpus_text_files(): + text = path.read_text(encoding="utf-8") + leak = _KEY_LEAK_RE.search(text) + assert leak is None, f"api_key material in {path}: {leak.group(0)!r}" + if real_key: + assert real_key not in text, f"literal API key found in {path}" + if resolved_key: + assert resolved_key not in text, f"literal API key found in {path}" + + +def test_manifest_entries_match_corpus_files() -> None: + """Manifest and files agree in both directions; every capture parses.""" + + manifest = _manifest() + entries = {k: v for k, v in manifest.items() if k != "_meta"} + assert manifest["_meta"]["case_count"] == len(entries) + + files_on_disk = { + p.relative_to(CORPUS_DIR).as_posix() + for p in _corpus_text_files() + if p.name not in {"manifest.json", "README.md"} + } + files_in_manifest = {str(e["file"]) for e in entries.values() if "file" in e} + assert files_in_manifest == files_on_disk + + for key, entry in entries.items(): + if "file" in entry: + capture = CORPUS_DIR / str(entry["file"]) + json.loads(capture.read_text(encoding="utf-8")) # must parse + if entry["status"] == "ok": + assert "file" in entry, f"ok entry without capture: {key}" + + +def test_every_command_has_corpus_coverage() -> None: + """All 35 commands have at least one manifest entry (spec §7 pin).""" + + covered = {key.split("/", 1)[0] for key in _manifest() if key != "_meta"} + missing = set(COMMANDS_BY_NAME) - covered + assert not missing, f"commands with no corpus evidence: {sorted(missing)}" + + +def test_error_family_evidence_exists() -> None: + """The corpus contains deliberate error captures (spec §6 depends on them).""" + + error_entries = [ + e + for k, e in _manifest().items() + if k != "_meta" and e["status"] == "http_error" + ] + assert error_entries, "no http_error captures in corpus" + with_bodies = [e for e in error_entries if "file" in e] + assert with_bodies, "no http_error capture kept its response body" diff --git a/tests/test_frames.py b/tests/test_frames.py new file mode 100644 index 0000000..35e67ad --- /dev/null +++ b/tests/test_frames.py @@ -0,0 +1,169 @@ +"""Tests for Frame containers, pinned against real corpus captures.""" + +from __future__ import annotations + +import json +from datetime import date, datetime, timezone +from pathlib import Path +from typing import Any, Final + +import polars as pl +import pytest + +from fredq.frames import Frame, FrameShapeError, Observations, build_observations + +CORPUS: Final[Path] = Path(__file__).parent / "fixtures" / "corpus" +NOW: Final[datetime] = datetime(2026, 7, 5, tzinfo=timezone.utc) + + +def _capture(rel: str) -> dict[str, Any]: + return json.loads((CORPUS / rel).read_text(encoding="utf-8")) + + +def test_build_observations_from_corpus_gnpca() -> None: + """A real full-history capture builds with the pinned schema.""" + + payload = _capture("series-observations/GNPCA.json") + obs = build_observations(payload, fetched_at=NOW) + assert isinstance(obs, Observations) + assert obs.df.schema == pl.Schema( + { + "date": pl.Date, + "value": pl.Float64, + "realtime_start": pl.Date, + "realtime_end": pl.Date, + } + ) + assert obs.df.height == len(payload["observations"]) + assert obs.fetched_at is NOW + + +def test_missing_values_become_null_not_nan() -> None: + """FRED's "." sentinel maps to null (the float|None ruling), not NaN.""" + + payload = _capture("series-observations/DEXCAUS_holidays.json") + dots = sum(1 for o in payload["observations"] if o["value"] == ".") + assert dots == 2 # corpus-pinned count (README ruling) # noqa: PLR2004 + obs = build_observations(payload, fetched_at=NOW) + assert obs.df["value"].null_count() == dots + assert not obs.df["value"].is_nan().any() + + +def test_vintage_capture_builds_with_multiple_realtime_windows() -> None: + """ALFRED windows survive into the realtime columns (corpus-pinned).""" + + payload = _capture("series-observations/UNRATE_vintage-2001.json") + obs = build_observations(payload, fetched_at=NOW) + windows = obs.df.select("realtime_start", "realtime_end").unique() + assert windows.height == 3 # corpus-pinned (README ruling) # noqa: PLR2004 + + +def test_meta_is_envelope_without_observations() -> None: + """Everything except the rows lands in meta, wire-faithfully typed.""" + + payload = _capture("series-observations/GNPCA.json") + obs = build_observations(payload, fetched_at=NOW) + expected = {k: v for k, v in payload.items() if k != "observations"} + # Typed envelope: wire-shaped dump round-trips to the raw envelope. + assert obs.meta.model_dump(mode="json") == expected + assert obs.meta.units == payload["units"] + + +def test_unknown_observation_key_is_rejected() -> None: + """Schema drift in rows fails loudly instead of being silently eaten.""" + + payload = _capture("series-observations/GNPCA.json") + payload["observations"][0]["surprise"] = 1 + with pytest.raises(FrameShapeError, match="surprise"): + build_observations(payload, fetched_at=NOW) + + +def test_missing_observation_key_is_rejected() -> None: + """A row lacking one of the four pinned keys is a shape error.""" + + payload = _capture("series-observations/GNPCA.json") + del payload["observations"][0]["value"] + with pytest.raises(FrameShapeError, match="value"): + build_observations(payload, fetched_at=NOW) + + +def test_missing_observations_array_is_rejected() -> None: + """A payload without an observations list is a shape error.""" + + with pytest.raises(FrameShapeError, match="observations"): + build_observations({"count": 0}, fetched_at=NOW) + + +def test_unparseable_value_is_rejected() -> None: + """Only "." and float strings are valid values (corpus evidence).""" + + payload = _capture("series-observations/GNPCA.json") + payload["observations"][0]["value"] = "n/a" + with pytest.raises(FrameShapeError, match="value"): + build_observations(payload, fetched_at=NOW) + + +def test_unparseable_date_is_rejected() -> None: + """Dates must be ISO strings; anything else is a shape error.""" + + payload = _capture("series-observations/GNPCA.json") + payload["observations"][0]["date"] = "01/01/2020" + with pytest.raises(FrameShapeError, match="date"): + build_observations(payload, fetched_at=NOW) + + +def test_to_dicts_round_trips_types() -> None: + """to_dicts gives python-typed rows (date objects, float|None).""" + + payload = _capture("series-observations/DEXCAUS_holidays.json") + rows = build_observations(payload, fetched_at=NOW).to_dicts() + assert isinstance(rows[0]["date"], date) + assert any(row["value"] is None for row in rows) + + +def test_to_pandas_raises_helpful_import_error_without_extra() -> None: + """Without the [pandas] extra, conversion errors tell you the fix. + + Never skip here: in the base env the ImportError path IS the behavior + under test; in a pandas env (the Part-4 CI leg) conversion must work. + """ + + frame = Frame(df=pl.DataFrame({"a": [1]}), fetched_at=NOW) + try: + import pandas # noqa: F401, ICN001, PLC0415 + except ImportError: + with pytest.raises(ImportError, match=r"fredq\[pandas\]"): + frame.to_pandas() + else: + assert list(frame.to_pandas()["a"]) == [1] + + +def test_to_arrow_raises_helpful_import_error_without_extra() -> None: + """Same contract for pyarrow.""" + + frame = Frame(df=pl.DataFrame({"a": [1]}), fetched_at=NOW) + try: + import pyarrow # noqa: F401, ICN001, PLC0415 + except ImportError: + with pytest.raises(ImportError, match=r"fredq\[pandas\]"): + frame.to_arrow() + else: + assert frame.to_arrow().num_rows == 1 + + +def test_save_parquet_writes_readable_file(tmp_path: Path) -> None: + """save_parquet round-trips through polars.""" + + payload = _capture("series-observations/GNPCA.json") + obs = build_observations(payload, fetched_at=NOW) + target = tmp_path / "gnpca.parquet" + obs.save_parquet(target) + assert pl.read_parquet(target).height == obs.df.height + + +def test_frames_are_immutable() -> None: + """Frozen dataclass: attribute assignment raises.""" + + frame = Frame(df=pl.DataFrame({"a": [1]}), fetched_at=NOW) + with pytest.raises(AttributeError): + frame.df = pl.DataFrame() # type: ignore[misc] diff --git a/tests/test_models_gates.py b/tests/test_models_gates.py new file mode 100644 index 0000000..9fc82b9 --- /dev/null +++ b/tests/test_models_gates.py @@ -0,0 +1,355 @@ +"""Corpus gates for every response model: zero extras + required-set pins. + +Every model in src/fredq/models/ MUST be registered in _GATES in the same +commit that creates it (the completeness test enforces this). The corpus +is the only authority: required fields == keys present in 100% of the +relevant captures. +""" + +from __future__ import annotations + +import json +from collections.abc import Callable +from datetime import datetime, timedelta, timezone +from pathlib import Path +from typing import Any, Final, cast + +import pytest + +from fredq import models +from tests.conftest import ( + collect_nested_extras, + required_field_names, + universal_keys, +) + +RecordsFn = Callable[[], list[dict[str, Any]]] + +CORPUS: Final[Path] = Path(__file__).parent / "fixtures" / "corpus" + + +def _records(glob: str, key: str) -> list[dict[str, Any]]: + """Collect wire records for a model: every `key` entry in matching captures. + + Returns: + list[dict[str, Any]]: Raw wire records (dicts) across the corpus. + """ + + records: list[dict[str, Any]] = [] + for path in sorted(CORPUS.glob(glob)): + raw: object = json.loads(path.read_text(encoding="utf-8")) + if not isinstance(raw, dict) or key not in raw: + continue # error captures etc. + payload = cast("dict[str, Any]", raw) + value: object = payload[key] + if isinstance(value, list): + items = cast("list[object]", value) + records += [cast("dict[str, Any]", r) for r in items if isinstance(r, dict)] + elif isinstance(value, dict): + records.append(cast("dict[str, Any]", value)) + return records + + +def _series_records() -> list[dict[str, Any]]: + """All seriess records across every endpoint SeriesInfo covers. + + Returns: + list[dict[str, Any]]: The SeriesInfo evidence set. + """ + + globs = ( + "series/*.json", + "series-search/*.json", + "category-series/*.json", + "release-series/*.json", + "tags-series/*.json", + "series-updates/*.json", + ) + records: list[dict[str, Any]] = [] + for glob in globs: + records += _records(glob, "seriess") + return records + + +def _observation_envelopes() -> list[dict[str, Any]]: + """Observation envelopes (payload minus rows) across ok captures. + + Returns: + list[dict[str, Any]]: The ObservationsMeta evidence set. + """ + + envelopes: list[dict[str, Any]] = [] + for path in sorted(CORPUS.glob("series-observations/*.json")): + raw: object = json.loads(path.read_text(encoding="utf-8")) + if not isinstance(raw, dict) or "observations" not in raw: + continue + payload = cast("dict[str, Any]", raw) + envelopes.append({k: v for k, v in payload.items() if k != "observations"}) + return envelopes + + +def _payloads( + globs: tuple[str, ...], marker: str, *, paginated: bool | None = None +) -> list[dict[str, Any]]: + """Whole ok payloads containing ``marker``, optionally filtered by pagination. + + Returns: + list[dict[str, Any]]: Full response payloads (envelope models + validate the whole payload, list field included). + """ + + payloads: list[dict[str, Any]] = [] + for glob in globs: + for path in sorted(CORPUS.glob(glob)): + raw: object = json.loads(path.read_text(encoding="utf-8")) + if not isinstance(raw, dict) or marker not in raw: + continue + if paginated is not None and ("count" in raw) is not paginated: + continue + payloads.append(cast("dict[str, Any]", raw)) + return payloads + + +_CATEGORY_GLOBS: Final[tuple[str, ...]] = ( + "category/*.json", + "category-children/*.json", + "category-related/*.json", + "series-categories/*.json", +) +_RELEASE_RECORD_GLOBS: Final[tuple[str, ...]] = ( + "releases/*.json", + "release/*.json", + "series-release/*.json", + "source-releases/*.json", +) +_RELEASE_DATE_GLOBS: Final[tuple[str, ...]] = ( + "release-dates/*.json", + "releases-dates/*.json", +) +_SOURCE_RECORD_GLOBS: Final[tuple[str, ...]] = ( + "sources/*.json", + "source/*.json", + "release-sources/*.json", +) +_TAG_GLOBS: Final[tuple[str, ...]] = ( + "tags/*.json", + "related-tags/*.json", + "series-tags/*.json", + "category-tags/*.json", + "category-related-tags/*.json", + "release-tags/*.json", + "release-related-tags/*.json", + "series-search-tags/*.json", + "series-search-related-tags/*.json", +) +_SERIES_LIST_GLOBS: Final[tuple[str, ...]] = ( + "series-search/*.json", + "category-series/*.json", + "release-series/*.json", + "tags-series/*.json", + "series-updates/*.json", +) + + +def _category_records() -> list[dict[str, Any]]: + records: list[dict[str, Any]] = [] + for glob in _CATEGORY_GLOBS: + records += _records(glob, "categories") + return records + + +def _category_envelopes() -> list[dict[str, Any]]: + return _payloads(_CATEGORY_GLOBS, "categories") + + +def _release_records() -> list[dict[str, Any]]: + records: list[dict[str, Any]] = [] + for glob in _RELEASE_RECORD_GLOBS: + records += _records(glob, "releases") + return records + + +def _releases_envelopes() -> list[dict[str, Any]]: + return _payloads( + ("releases/*.json", "source-releases/*.json"), "releases", paginated=True + ) + + +def _release_date_records() -> list[dict[str, Any]]: + records: list[dict[str, Any]] = [] + for glob in _RELEASE_DATE_GLOBS: + records += _records(glob, "release_dates") + return records + + +def _release_dates_envelopes() -> list[dict[str, Any]]: + return _payloads(_RELEASE_DATE_GLOBS, "release_dates") + + +def _source_records() -> list[dict[str, Any]]: + records: list[dict[str, Any]] = [] + for glob in _SOURCE_RECORD_GLOBS: + records += _records(glob, "sources") + return records + + +def _release_sources_envelopes() -> list[dict[str, Any]]: + return _payloads(("release-sources/*.json",), "sources") + + +def _sources_envelopes() -> list[dict[str, Any]]: + return _payloads(("sources/*.json",), "sources", paginated=True) + + +def _tag_records() -> list[dict[str, Any]]: + records: list[dict[str, Any]] = [] + for glob in _TAG_GLOBS: + records += _records(glob, "tags") + return records + + +def _tags_envelopes() -> list[dict[str, Any]]: + return _payloads(_TAG_GLOBS, "tags") + + +def _series_list_envelopes() -> list[dict[str, Any]]: + return _payloads(_SERIES_LIST_GLOBS, "seriess", paginated=True) + + +def _vintage_dates_envelopes() -> list[dict[str, Any]]: + return _payloads(("series-vintagedates/*.json",), "vintage_dates") + + +def _release_tables_payloads() -> list[dict[str, Any]]: + return _payloads(("release-tables/*.json",), "elements") + + +def _element_records() -> list[dict[str, Any]]: + """Every element node across the release-tables captures, recursively. + + Returns: + list[dict[str, Any]]: Flattened element records (children walked). + """ + + def walk(element: dict[str, Any]) -> list[dict[str, Any]]: + found = [element] + children = element.get("children") + if isinstance(children, list): + items = cast("list[object]", children) + for child in items: + if isinstance(child, dict): + found += walk(cast("dict[str, Any]", child)) + return found + + records: list[dict[str, Any]] = [] + for payload in _release_tables_payloads(): + elements = payload.get("elements") + if isinstance(elements, dict): + mapping = cast("dict[str, Any]", elements) + for element in mapping.values(): + if isinstance(element, dict): + records += walk(cast("dict[str, Any]", element)) + return records + + +# Registry: (model class, records callable). Every model gets one entry. +_GATES: Final[list[tuple[type[Any], RecordsFn]]] = [ + (models.SeriesInfo, _series_records), + (models.ObservationsMeta, _observation_envelopes), + (models.SeriesListResult, _series_list_envelopes), + (models.CategoryInfo, _category_records), + (models.CategoriesResult, _category_envelopes), + (models.ReleaseInfo, _release_records), + (models.ReleasesResult, _releases_envelopes), + (models.ReleaseDate, _release_date_records), + (models.ReleaseDatesResult, _release_dates_envelopes), + (models.SourceInfo, _source_records), + (models.ReleaseSourcesResult, _release_sources_envelopes), + (models.SourcesResult, _sources_envelopes), + (models.TagInfo, _tag_records), + (models.TagsResult, _tags_envelopes), + (models.VintageDatesResult, _vintage_dates_envelopes), + (models.Element, _element_records), + (models.ReleaseTablesResult, _release_tables_payloads), +] + +_GATE_IDS: Final[list[str]] = [model_cls.__name__ for model_cls, _ in _GATES] + + +@pytest.mark.parametrize(("model_cls", "records_fn"), _GATES, ids=_GATE_IDS) +def test_zero_nested_extras(model_cls: type[Any], records_fn: RecordsFn) -> None: + """Every relevant capture validates with NO unmodeled fields.""" + + records = records_fn() + assert records, model_cls.__name__ + for record in records: + instance = model_cls.model_validate(record) + extras = collect_nested_extras(instance) + assert extras == [], f"{model_cls.__name__}: {extras[:5]}" + + +@pytest.mark.parametrize(("model_cls", "records_fn"), _GATES, ids=_GATE_IDS) +def test_required_set_matches_corpus( + model_cls: type[Any], records_fn: RecordsFn +) -> None: + """Required fields == corpus-universal keys, exactly.""" + + expected = universal_keys(records_fn()) + assert required_field_names(model_cls) == expected, model_cls.__name__ + + +@pytest.mark.parametrize(("model_cls", "records_fn"), _GATES, ids=_GATE_IDS) +def test_fields_are_alphabetical(model_cls: type[Any], records_fn: RecordsFn) -> None: + """Model law: alphabetical field order, gate-asserted.""" + + del records_fn + names = list(model_cls.model_fields) + assert names == sorted(names), model_cls.__name__ + + +def test_every_model_is_gated() -> None: + """Completeness: every public model in fredq.models has a _GATES entry.""" + + from pydantic import BaseModel # noqa: PLC0415 + + gated = {model_cls for model_cls, _ in _GATES} + public = { + obj + for name in models.__all__ + if isinstance(obj := getattr(models, name), type) + and issubclass(obj, BaseModel) + and obj is not models.FredModel + } + ungated = public - gated + assert not ungated, f"ungated models: {[m.__name__ for m in ungated]}" + + +def test_pad_offset_leaves_bare_dates_untouched() -> None: + """A date-only string must not be mistaken for a minute-less offset. + + "2026-04-09" ends in "-09", which looks like an offset tail; the + padder requires a time separator before padding (retrospective-review + catch, 2026-07-06). + """ + + from fredq.models._base import ( # noqa: PLC0415 + _pad_offset, # pyright: ignore[reportPrivateUsage] + ) + + assert _pad_offset("2026-04-09") == "2026-04-09" + assert _pad_offset("2026-04-09 07:53:12-05") == "2026-04-09 07:53:12-05:00" + assert _pad_offset("2026-04-09T07:53:12+03") == "2026-04-09T07:53:12+03:00" + assert _pad_offset("2026-04-09 07:53:12-05:00") == "2026-04-09 07:53:12-05:00" + + +def test_fred_datetime_parses_corpus_offset_spelling() -> None: + """FRED's minute-less offset (corpus: last_updated) parses AWARE. + + Pinned against the exact GNPCA corpus value. + """ + + payload = json.loads((CORPUS / "series" / "GNPCA.json").read_text(encoding="utf-8")) + info = models.SeriesInfo.model_validate(payload["seriess"][0]) + expected = datetime(2026, 4, 9, 7, 53, 12, tzinfo=timezone(timedelta(hours=-5))) + assert info.last_updated == expected + assert info.last_updated.tzinfo is not None diff --git a/tests/test_no_skips_tool.py b/tests/test_no_skips_tool.py new file mode 100644 index 0000000..864cf4b --- /dev/null +++ b/tests/test_no_skips_tool.py @@ -0,0 +1,148 @@ +"""Tests for tools/check_no_skips.py's skip-detection logic. + +Exercises the collector plugin and main()'s decision logic directly against +synthetic pytest.TestReport objects and a monkeypatched pytest.main — no +subprocess, no real pytest collection/run, no network. +""" + +from __future__ import annotations + +import pytest + +from tools.check_no_skips import ( + _SkipCollector, # pyright: ignore[reportPrivateUsage] + main, +) + + +def _report( + nodeid: str, + outcome: str = "passed", + *, + wasxfail: str | None = None, +) -> pytest.TestReport: + """Build a real pytest.TestReport for a single test phase. + + Args: + nodeid: The test node ID to record on the report. + outcome: One of "passed", "failed", "skipped". + wasxfail: When given, sets the ``wasxfail`` extra attribute pytest + attaches to skip reports produced by an ``xfail`` outcome. + + Returns: + pytest.TestReport: A real report instance, not a stub. + """ + + report = pytest.TestReport( + nodeid=nodeid, + location=(nodeid, None, nodeid), + keywords={}, + outcome=outcome, # type: ignore[arg-type] + longrepr=None, + when="call", + ) + if wasxfail is not None: + report.wasxfail = wasxfail + return report + + +def test_collector_ignores_passed_reports() -> None: + """A passing report is not recorded as a skip.""" + + collector = _SkipCollector() + collector.pytest_runtest_logreport(_report("tests/test_x.py::test_ok")) + assert collector.skipped == [] + + +def test_collector_records_genuine_skip() -> None: + """A skipped report with no wasxfail flag is recorded by node ID.""" + + collector = _SkipCollector() + collector.pytest_runtest_logreport( + _report("tests/test_x.py::test_skipped", outcome="skipped") + ) + assert collector.skipped == ["tests/test_x.py::test_skipped"] + + +def test_collector_ignores_xfail_flagged_skip() -> None: + """Xfail outcomes report as skipped but carry wasxfail; not counted.""" + + collector = _SkipCollector() + collector.pytest_runtest_logreport( + _report("tests/test_x.py::test_xfail", outcome="skipped", wasxfail="known bug") + ) + assert collector.skipped == [] + + +def test_collector_accumulates_multiple_skips_in_order() -> None: + """Multiple skipped tests are all recorded, in report order.""" + + collector = _SkipCollector() + collector.pytest_runtest_logreport( + _report("tests/test_x.py::test_a", outcome="skipped") + ) + collector.pytest_runtest_logreport(_report("tests/test_x.py::test_b")) + collector.pytest_runtest_logreport( + _report("tests/test_x.py::test_c", outcome="skipped") + ) + assert collector.skipped == [ + "tests/test_x.py::test_a", + "tests/test_x.py::test_c", + ] + + +def test_main_zero_skips_passes(monkeypatch: pytest.MonkeyPatch) -> None: + """When pytest reports no skips, main() returns pytest's exit code.""" + + def fake_pytest_main(*_args: object, **_kwargs: object) -> int: + return 0 + + monkeypatch.setattr("tools.check_no_skips.pytest.main", fake_pytest_main) + assert main() == 0 + + +def test_main_unexpected_skip_fails_naming_the_test( + monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str] +) -> None: + """A single unexpected skip fails the check and names the node ID.""" + + def fake_pytest_main(_args: object, plugins: list[_SkipCollector]) -> int: + plugins[0].skipped.append("tests/test_frames.py::test_to_pandas") + return 0 + + monkeypatch.setattr("tools.check_no_skips.pytest.main", fake_pytest_main) + assert main() == 1 + captured = capsys.readouterr() + assert "tests/test_frames.py::test_to_pandas" in captured.err + assert "1 test(s) skipped" in captured.err + + +def test_main_multiple_unexpected_skips_all_named( + monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str] +) -> None: + """Every skipped node ID is listed in the failure output.""" + + def fake_pytest_main(_args: object, plugins: list[_SkipCollector]) -> int: + plugins[0].skipped.extend( + ["tests/test_a.py::test_1", "tests/test_b.py::test_2"] + ) + return 0 + + monkeypatch.setattr("tools.check_no_skips.pytest.main", fake_pytest_main) + assert main() == 1 + captured = capsys.readouterr() + assert "tests/test_a.py::test_1" in captured.err + assert "tests/test_b.py::test_2" in captured.err + assert "2 test(s) skipped" in captured.err + + +def test_main_pytest_failure_without_skips_propagates_exit_code( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A real test failure (no skips) surfaces pytest's own exit code.""" + + def fake_pytest_main(*_args: object, **_kwargs: object) -> int: + return 1 + + monkeypatch.setattr("tools.check_no_skips.pytest.main", fake_pytest_main) + assert main() == 1 diff --git a/tests/test_package_data.py b/tests/test_package_data.py index 4a29f8a..cea72ff 100644 --- a/tests/test_package_data.py +++ b/tests/test_package_data.py @@ -2,6 +2,8 @@ from __future__ import annotations +from pathlib import Path + import fredq from fredq.commands import COMMANDS @@ -21,7 +23,14 @@ def test_commands_have_unique_names() -> None: def test_commands_paths_are_rooted() -> None: - """All endpoint paths start with ``/fred/`` or ``/geofred/``.""" + """All endpoint paths start with ``/fred/``.""" for command in COMMANDS: - assert command.path.startswith(("/fred/", "/geofred/")), command.path + assert command.path.startswith("/fred/"), command.path + + +def test_py_typed_marker_ships_with_the_package() -> None: + """PEP 561: the wheel must carry py.typed for downstream type checkers.""" + + marker = Path(fredq.__file__).parent / "py.typed" + assert marker.is_file() diff --git a/tests/test_packaging.py b/tests/test_packaging.py new file mode 100644 index 0000000..a06c287 --- /dev/null +++ b/tests/test_packaging.py @@ -0,0 +1,181 @@ +"""Packaging sanity: sdist/wheel membership must match the intended surface. + +Hatchling loses VCS-ignore filtering when ``.git`` is a file rather than a +directory — exactly the layout a git worktree uses. The reference +implementation silently shipped 204 ``node_modules`` files in a wheel built +from a worktree once. These tests build the real artifacts with ``uv build`` +and assert membership programmatically so that trap cannot recur silently. + +No skip decorators: a slow build (~10s) is an accepted cost, not a reason to +skip. The build fixture's own test-session budget is raised with +``@pytest.mark.timeout(120)`` on every test that consumes it, since the +default suite-wide timeout (10s, see ``pyproject.toml``) is tuned for unit +tests, not a subprocess build. +""" + +from __future__ import annotations + +import subprocess +import tarfile +import zipfile +from dataclasses import dataclass +from pathlib import Path + +import pytest + +_REPO_ROOT = Path(__file__).resolve().parent.parent +_BUILD_TIMEOUT_SECONDS = 120 +_WHEEL_MEMBER_CEILING = 100 + + +@dataclass(frozen=True, slots=True) +class _BuiltDistributions: + """Paths to the wheel and sdist built once for this test session.""" + + wheel_names: frozenset[str] + sdist_names: frozenset[str] + + +def _wheel_member_names(wheel_path: Path) -> frozenset[str]: + """Return every file path stored inside a wheel (a zip archive). + + Returns: + frozenset[str]: Archive member names (forward-slash separated). + """ + + with zipfile.ZipFile(wheel_path) as archive: + return frozenset(name for name in archive.namelist() if not name.endswith("/")) + + +def _sdist_member_names(sdist_path: Path) -> frozenset[str]: + """Return every file path stored inside an sdist (a gzipped tarball). + + The leading ``-/`` directory component is stripped so + membership checks read the same as the wheel's package-relative paths. + + Returns: + frozenset[str]: Archive member names relative to the sdist root. + """ + + with tarfile.open(sdist_path, "r:gz") as archive: + names: list[str] = [] + for member in archive.getmembers(): + if not member.isfile(): + continue + _prefix, _sep, rest = member.name.partition("/") + names.append(rest) + return frozenset(names) + + +@pytest.fixture(scope="module") +def built_distributions( + tmp_path_factory: pytest.TempPathFactory, +) -> _BuiltDistributions: + """Build sdist+wheel once per test module via ``uv build``. + + Returns: + _BuiltDistributions: Member-name sets for the built wheel and sdist. + """ + + out_dir = tmp_path_factory.mktemp("fredq-dist") + subprocess.run( # noqa: S603 + ["uv", "build", "--out-dir", str(out_dir)], # noqa: S607 + cwd=_REPO_ROOT, + check=True, + capture_output=True, + text=True, + timeout=_BUILD_TIMEOUT_SECONDS, + ) + + wheels = sorted(out_dir.glob("*.whl")) + sdists = sorted(out_dir.glob("*.tar.gz")) + assert len(wheels) == 1, f"expected exactly one wheel, got {wheels}" + assert len(sdists) == 1, f"expected exactly one sdist, got {sdists}" + + return _BuiltDistributions( + wheel_names=_wheel_member_names(wheels[0]), + sdist_names=_sdist_member_names(sdists[0]), + ) + + +@pytest.mark.timeout(_BUILD_TIMEOUT_SECONDS) +def test_wheel_contains_the_typed_library_surface( + built_distributions: _BuiltDistributions, +) -> None: + """The wheel ships py.typed, the models package, api.py, and frames.py.""" + + names = built_distributions.wheel_names + assert "fredq/py.typed" in names + assert "fredq/models/__init__.py" in names + assert "fredq/api.py" in names + assert "fredq/frames.py" in names + + +@pytest.mark.timeout(_BUILD_TIMEOUT_SECONDS) +def test_wheel_contains_a_spot_check_of_model_modules( + built_distributions: _BuiltDistributions, +) -> None: + """Spot-check individual model modules, not just the models package.""" + + names = built_distributions.wheel_names + assert "fredq/models/series.py" in names + assert "fredq/models/releases.py" in names + assert "fredq/models/_base.py" in names + + +@pytest.mark.timeout(_BUILD_TIMEOUT_SECONDS) +def test_wheel_excludes_dev_and_test_only_trees( + built_distributions: _BuiltDistributions, +) -> None: + """The wheel must never carry tests, docs, node_modules, or output. + + This is the trap this file exists to catch: hatchling loses its + VCS-ignore-based exclusion when ``.git`` is a file (a git worktree), + so a wheel built from a worktree can silently balloon with + ``node_modules`` or other dev-only trees unless membership is pinned. + """ + + names = built_distributions.wheel_names + assert not any(name.startswith("tests/") for name in names) + assert not any("node_modules/" in name for name in names) + assert not any(name.startswith("docs/") for name in names) + assert not any(name.startswith("output/") for name in names) + assert not any(".claude/" in name for name in names) + + +@pytest.mark.timeout(_BUILD_TIMEOUT_SECONDS) +def test_sdist_ships_the_corpus_by_design( + built_distributions: _BuiltDistributions, +) -> None: + """The sdist carries the test corpus (used to gate models at build/test time).""" + + names = built_distributions.sdist_names + assert "tests/fixtures/corpus/manifest.json" in names + assert "pyproject.toml" in names + + +@pytest.mark.timeout(_BUILD_TIMEOUT_SECONDS) +def test_sdist_excludes_dev_only_trees( + built_distributions: _BuiltDistributions, +) -> None: + """The sdist must never carry node_modules, .claude, or output.""" + + names = built_distributions.sdist_names + assert not any("node_modules/" in name for name in names) + assert not any(".claude/" in name for name in names) + assert not any(name.startswith("output/") for name in names) + + +@pytest.mark.timeout(_BUILD_TIMEOUT_SECONDS) +def test_wheel_member_count_is_sane( + built_distributions: _BuiltDistributions, +) -> None: + """A worktree-triggered leak (e.g. node_modules) balloons this count. + + The reference implementation's incident shipped 204 extra files from + ``node_modules`` alone; a low three-digit ceiling catches a recurrence + without pinning an exact (and brittle) file count. + """ + + names = built_distributions.wheel_names + assert len(names) < _WHEEL_MEMBER_CEILING, sorted(names) diff --git a/tests/test_probe.py b/tests/test_probe.py new file mode 100644 index 0000000..5fbb75e --- /dev/null +++ b/tests/test_probe.py @@ -0,0 +1,233 @@ +"""Tests for the probe harness (sanitizer, case matrix, runner).""" + +from __future__ import annotations + +import json +from typing import TYPE_CHECKING + +import pytest + +from fredq.cli import build_parser +from fredq.commands import COMMANDS_BY_NAME +from fredq.exceptions import FredRequestError +from tools.probe import ( + FAKE_API_KEY, + POLITENESS_DELAY_SECONDS, + ProbeCase, + build_cases, + run_probe, + sanitize, + scrub_secrets, +) + +if TYPE_CHECKING: + from pathlib import Path + + from fredq.types import ParamValue + + +def test_sanitize_makes_names_filesystem_safe() -> None: + """Case names with URL/query characters become portable file stems.""" + + assert sanitize("usa;quarterly") == "usa_quarterly" + assert sanitize("DGS10_freq-m") == "DGS10_freq-m" + assert sanitize("a b/c\\d:e") == "a_b_c_d_e" + + +def test_scrub_secrets_redacts_api_key_params() -> None: + """Any api_key=... query fragment is replaced, wherever it appears.""" + + expected_redaction_count = 2 + text = 'GET https://x/fred/series?api_key=abc123&file_type=json "api_key=zzz"' + scrubbed = scrub_secrets(text, api_key="") + assert "abc123" not in scrubbed + assert "zzz" not in scrubbed + assert scrubbed.count("api_key=[REDACTED]") == expected_redaction_count + + +def test_scrub_secrets_redacts_literal_key() -> None: + """The literal key value is removed even outside api_key= fragments.""" + + scrubbed = scrub_secrets( + "the key hush-hush-32chars leaked", api_key="hush-hush-32chars" + ) + assert "hush-hush-32chars" not in scrubbed + assert "[REDACTED]" in scrubbed + + +def test_scrub_secrets_empty_key_is_safe() -> None: + """An empty key must not cause replace-everything behavior.""" + + assert scrub_secrets("plain text", api_key="") == "plain text" + + +def test_scrub_secrets_is_idempotent() -> None: + """Re-scrubbing already-scrubbed text is a no-op. + + The manifest and re-run diffs may pass through the scrubber twice; a + pattern that re-matched ``[REDACTED]`` would corrupt committed text. + """ + + text = "https://x/fred/series?api_key=abc123&file_type=json plus key9" + once = scrub_secrets(text, api_key="key9") + assert scrub_secrets(once, api_key="key9") == once + + +def test_scrub_secrets_redacts_key_at_end_of_string() -> None: + """A key with no trailing delimiter (end of URL) is still scrubbed.""" + + scrubbed = scrub_secrets("https://x/fred/series?api_key=abc123", api_key="") + assert scrubbed == "https://x/fred/series?api_key=[REDACTED]" + + +def test_every_case_targets_a_real_command() -> None: + """Each case's command is a routing key in COMMANDS_BY_NAME.""" + + for case in build_cases(): + assert case.command in COMMANDS_BY_NAME, case.case + + +def test_case_keys_are_unique() -> None: + """command/case pairs are unique — raw AND after sanitize(). + + Corpus file paths use ``sanitize(case)``, so two distinct raw names + that sanitize identically would silently overwrite each other's + capture file. + """ + + keys = [f"{c.command}/{c.case}" for c in build_cases()] + assert len(keys) == len(set(keys)) + sanitized = [f"{c.command}/{sanitize(c.case)}" for c in build_cases()] + assert len(sanitized) == len(set(sanitized)) + + +def test_every_command_is_covered() -> None: + """All 35 CommandSpecs appear in the probe plan at least once.""" + + covered = {c.command for c in build_cases()} + missing = set(COMMANDS_BY_NAME) - covered + assert not missing, f"commands never probed: {sorted(missing)}" + + +def test_every_argv_parses_and_routes_to_its_command() -> None: + """Every argv parses via the real CLI parser and routes as labeled. + + A typo'd case must die here, in tests, not against live FRED. + """ + + parser = build_parser() + for case in build_cases(): + try: + namespace = parser.parse_args(list(case.argv)) + except SystemExit: # argparse exits on bad argv + pytest.fail(f"argv failed to parse: {case.command}/{case.case}") + assert namespace.command_name == case.command, case.case + + +def test_politeness_delay_is_never_shrunk() -> None: + """FRED allows ~120 req/min; the spec pins the floor at 0.5s.""" + + floor_seconds = 0.5 + assert floor_seconds <= POLITENESS_DELAY_SECONDS + + +def test_fake_api_key_is_obviously_fake() -> None: + """The committed bad-key probe value can never be a real key.""" + + assert FAKE_API_KEY == "f" * 32 + + +class _StubClient: + """Stands in for FredClient: canned body or exception, no network.""" + + def __init__(self, body: str = "", error: Exception | None = None) -> None: + self.body = body + self.error = error + self.closed = False + + async def get( + self, + path: str, # noqa: ARG002 + params: dict[str, ParamValue], # noqa: ARG002 + *, + base_url: str | None = None, # noqa: ARG002 + ) -> str: + if self.error is not None: + raise self.error + return self.body + + async def aclose(self) -> None: + self.closed = True + + +def _one_case() -> list[ProbeCase]: + return [ProbeCase("series", "GNPCA", ("series", "show", "GNPCA"))] + + +async def test_run_probe_ok_case_writes_file_and_manifest(tmp_path: Path) -> None: + """A JSON 200 lands as an ok manifest entry with a corpus file.""" + + stub = _StubClient(body='{"seriess": [{"id": "GNPCA"}]}') + await run_probe( + _one_case(), tmp_path, api_key="k", client_factory=lambda _key: stub + ) + + manifest = json.loads((tmp_path / "manifest.json").read_text("utf-8")) + entry = manifest["series/GNPCA"] + assert entry["status"] == "ok" + assert entry["http_status"] == 200 # noqa: PLR2004 + capture = tmp_path / "series" / "GNPCA.json" + assert json.loads(capture.read_text("utf-8")) == {"seriess": [{"id": "GNPCA"}]} + assert stub.closed # _run_command must close the per-case client + + +async def test_run_probe_http_error_keeps_scrubbed_body(tmp_path: Path) -> None: + """HTTP errors record status/detail and keep the error body as capture.""" + + error = FredRequestError( + 400, + "https://api.stlouisfed.org/fred/series", + body='{"error_code": 400, "error_message": "api_key=leaky bad"}', + ) + stub = _StubClient(error=error) + await run_probe( + _one_case(), tmp_path, api_key="leaky", client_factory=lambda _key: stub + ) + + manifest = json.loads((tmp_path / "manifest.json").read_text("utf-8")) + entry = manifest["series/GNPCA"] + assert entry["status"] == "http_error" + assert entry["http_status"] == 400 # noqa: PLR2004 + text = (tmp_path / "series" / "GNPCA.json").read_text("utf-8") + assert "leaky" not in text + assert "api_key=[REDACTED]" in text + + +async def test_run_probe_non_json_200_is_error_without_file(tmp_path: Path) -> None: + """An HTTP-200 body that is not JSON must NOT be recorded as ok.""" + + stub = _StubClient(body="corrupt") + await run_probe( + _one_case(), tmp_path, api_key="k", client_factory=lambda _key: stub + ) + + manifest = json.loads((tmp_path / "manifest.json").read_text("utf-8")) + entry = manifest["series/GNPCA"] + assert entry["status"] == "error" + # The HTTP transaction succeeded; only the payload is corrupt. Contrast + # non-HTTP failures, which record http_status=None. + assert entry["http_status"] == 200 # noqa: PLR2004 + assert "file" not in entry + assert not (tmp_path / "series" / "GNPCA.json").exists() + + +async def test_run_probe_manifest_meta_counts_entries(tmp_path: Path) -> None: + """_meta.case_count equals the number of case entries written.""" + + stub = _StubClient(body="{}") + await run_probe( + _one_case(), tmp_path, api_key="k", client_factory=lambda _key: stub + ) + + manifest = json.loads((tmp_path / "manifest.json").read_text("utf-8")) + assert manifest["_meta"]["case_count"] == 1 diff --git a/tests/test_public_surface.py b/tests/test_public_surface.py new file mode 100644 index 0000000..003cc28 --- /dev/null +++ b/tests/test_public_surface.py @@ -0,0 +1,74 @@ +"""Tests for the lazy public package surface.""" + +from __future__ import annotations + +import subprocess +import sys + +import pytest + +import fredq + + +def test_all_names_are_importable() -> None: + """Every name in __all__ resolves at runtime (lazy-routing parity).""" + + for name in fredq.__all__: + assert getattr(fredq, name) is not None, name + + +def test_dir_lists_public_surface() -> None: + """dir() exposes __all__ (tab completion) without internals.""" + + listed = dir(fredq) + assert set(fredq.__all__) <= set(listed) + assert "importlib" not in listed + + +def test_unknown_attribute_raises() -> None: + """PEP 562 fallback raises AttributeError for unknown names.""" + + with pytest.raises(AttributeError, match="definitely_not_a_thing"): + _ = fredq.definitely_not_a_thing # type: ignore[attr-defined] + + +def test_importing_fredq_stays_light() -> None: + """`import fredq` must not pull polars or the api layer (CLI cost).""" + + code = ( + "import sys; import fredq; " + "heavy = {'polars', 'fredq.api', 'fredq.frames'} & set(sys.modules); " + "print(sorted(heavy))" + ) + out = subprocess.run( # noqa: S603 + [sys.executable, "-c", code], capture_output=True, text=True, check=True + ) + assert out.stdout.strip() == "[]" + + +def test_cli_module_stays_light() -> None: + """Importing the CLI never pays for polars either.""" + + code = "import sys; import fredq.cli; print('polars' in sys.modules)" + out = subprocess.run( # noqa: S603 + [sys.executable, "-c", code], capture_output=True, text=True, check=True + ) + assert out.stdout.strip() == "False" + + +def test_lazy_names_resolve_to_api_objects() -> None: + """Spot-check the lazy routing targets.""" + + from fredq.api import Series # noqa: PLC0415 + from fredq.frames import Frame # noqa: PLC0415 + + assert fredq.Series is Series + assert fredq.Frame is Frame + + +def test_configure_is_the_core_configure() -> None: + """fredq.configure is the singleton-config entry point, one object.""" + + from fredq._core import configure # noqa: PLC0415 + + assert fredq.configure is configure diff --git a/tools/__init__.py b/tools/__init__.py new file mode 100644 index 0000000..79864f6 --- /dev/null +++ b/tools/__init__.py @@ -0,0 +1 @@ +"""Developer tools for fredq (probe harness, reports). Not shipped.""" diff --git a/tools/check_no_skips.py b/tools/check_no_skips.py new file mode 100644 index 0000000..99390a3 --- /dev/null +++ b/tools/check_no_skips.py @@ -0,0 +1,66 @@ +"""Run a pytest file and fail if any test in it was skipped. + +Run from the repo root: uv run python -m tools.check_no_skips ... + +Used by the ``pandas`` tox env to guarantee that tests/test_frames.py's +positive to_pandas/to_arrow paths (the ``else`` branches after the +``import pandas``/``import pyarrow`` probes) actually execute rather than +silently skipping because pandas/pyarrow are missing from the environment. +A green run with those tests skipped would be worse than no env at all, so +the check is mechanical rather than eyeballed. + +Also wired into the main test job so any unexpected skip anywhere in the +suite fails CI. All CI jobs run on ubuntu-latest, where the three POSIX-only +chmod tests in tests/test_auth.py (``@pytest.mark.skipif(os.name == "nt", ...)``) +never skip, so no allowlist is needed there. Those tests DO skip when run +locally on Windows; this checker is intended for CI (Linux) use, matching +the reference implementation, which also carries no allowlist mechanism. +""" + +from __future__ import annotations + +import sys + +import pytest + + +class _SkipCollector: + """Pytest plugin recording the node ID of every skipped test.""" + + def __init__(self) -> None: + self.skipped: list[str] = [] + + def pytest_runtest_logreport(self, report: pytest.TestReport) -> None: + """Record the test's node ID when its report shows a genuine skip. + + pytest represents ``xfail`` outcomes as ``skipped`` too, flagged + apart only by ``wasxfail`` — those are expected failures, not + silently-missing coverage, so they don't count. + """ + + if report.skipped and not hasattr(report, "wasxfail"): + self.skipped.append(report.nodeid) + + +def main() -> int: + """Run pytest over argv[1:] and fail if any test was skipped. + + Returns: + int: The pytest exit code, or 1 if any test skipped. + """ + + collector = _SkipCollector() + exit_code = pytest.main(sys.argv[1:], plugins=[collector]) + if collector.skipped: + skipped_list = "\n".join(f" - {node_id}" for node_id in collector.skipped) + print( + f"ERROR: {len(collector.skipped)} test(s) skipped " + f"(expected all to run):\n{skipped_list}", + file=sys.stderr, + ) + return 1 + return exit_code + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/tools/probe.py b/tools/probe.py new file mode 100644 index 0000000..a6b8589 --- /dev/null +++ b/tools/probe.py @@ -0,0 +1,858 @@ +"""Probe every fredq command across a coverage matrix; write the corpus. + +Run from the repo root: uv run python -m tools.probe + +Writes raw response bodies to tests/fixtures/corpus//.json and +a manifest.json describing every case (argv, status, http_status, file; +run timestamp in _meta). Re-running and diffing the corpus is the FRED +schema-drift detector. + +The runner overwrites captures but never deletes: renaming or removing a +case orphans its old file. tests/test_corpus.py pins manifest <-> files +equality in both directions, so orphans fail the gate instead of lingering. + +SECRET HYGIENE: every request carries api_key in the query string and the +corpus is committed to git. All bodies, details, and manifest text pass +through scrub_secrets() before touching disk; tests/test_corpus.py enforces +the result. Never weaken either side. +""" + +from __future__ import annotations + +import asyncio +import json +import sys +from collections.abc import Callable +from dataclasses import dataclass +from datetime import datetime, timedelta, timezone +from pathlib import Path +from typing import TYPE_CHECKING, Final + +import regex + +from fredq.auth import resolve_api_key +from fredq.cli import ( + _collect_params, # pyright: ignore[reportPrivateUsage] + _FredClientProtocol, # pyright: ignore[reportPrivateUsage] + _run_command, # pyright: ignore[reportPrivateUsage] + build_parser, +) + +# Single source of truth for API-key redaction: the client's constants. +# Duplicating the pattern here once caused a drift risk a review caught — +# a fix to one copy would silently not propagate to the corpus scrubber. +from fredq.client import ( + _API_KEY_RE, # pyright: ignore[reportPrivateUsage] + _API_KEY_REDACTED, # pyright: ignore[reportPrivateUsage] + FredClient, +) +from fredq.commands import COMMANDS_BY_NAME +from fredq.exceptions import FredqError, FredRequestError +from fredq.params import enforce_cross_param_rules + +if TYPE_CHECKING: + import argparse + +REPO_ROOT: Final[Path] = Path(__file__).resolve().parents[1] +CORPUS_DIR: Final[Path] = REPO_ROOT / "tests" / "fixtures" / "corpus" + +# FRED allows ~120 requests/minute; 0.6s keeps a full run near 100/min. +# Never reduce this (spec §7). +POLITENESS_DELAY_SECONDS: Final[float] = 0.6 + +# Deliberately invalid-but-plausible key for the bad-key error capture. +# 32 chars like a real FRED key, obviously fake, committed on purpose. +FAKE_API_KEY: Final[str] = "ffffffffffffffffffffffffffffffff" + +_UNSAFE_NAME_RE: Final[regex.Pattern[str]] = regex.compile(r"[^A-Za-z0-9._-]+") + + +@dataclass(frozen=True, slots=True) +class ProbeCase: + """One probe: a CLI-shaped invocation whose output lands in the corpus.""" + + command: str # CommandSpec.name == corpus subdirectory + case: str # file stem before sanitization + argv: tuple[str, ...] # exactly what would follow `fredq ` on a shell + + +def sanitize(name: str) -> str: + """Make a case name filesystem-safe on every platform. + + Returns: + str: The name with unsafe characters replaced by underscores. + """ + + return _UNSAFE_NAME_RE.sub("_", name) + + +def scrub_secrets(text: str, api_key: str) -> str: + """Strip API-key material from any text bound for the corpus. + + Removes both ``api_key=`` query fragments and the literal key + value itself (defense in depth: FRED error bodies or future URL formats + could echo the key outside a query string). + + Returns: + str: The text with all key material replaced by ``[REDACTED]``. + """ + + scrubbed = _API_KEY_RE.sub(_API_KEY_REDACTED, text) + if api_key: + scrubbed = scrubbed.replace(api_key, "[REDACTED]") + return scrubbed + + +def _days_ago_compact(days: int) -> str: + """Format a UTC timestamp ``days`` before now in FRED's compact format. + + FRED's ``series updates`` start-time/end-time params use YYYYMMDDHhmm, + not YYYY-MM-DD. This always emits midnight for the given day. + + Returns: + str: The timestamp as ``YYYYMMDD0000``. + """ + + when = datetime.now(timezone.utc) - timedelta(days=days) + return when.strftime("%Y%m%d0000") + + +def _series_show_cases() -> list[ProbeCase]: + """`series show` across the id matrix plus one ALFRED realtime window. + + Returns: + list[ProbeCase]: The series-metadata cases. + """ + + ids = ( + "GNPCA", # annual + "GDP", # quarterly + "DGS10", # daily + "CPIAUCSL", # monthly + "UNRATE", # monthly + "FEDFUNDS", # monthly + "DEXCAUS", # daily FX + "MORTGAGE30US", # weekly + "TWEXB", # discontinued 2020 + ) + cases = [ProbeCase("series", sid, ("series", "show", sid)) for sid in ids] + cases.append( + ProbeCase( + "series", + "UNRATE_realtime-2000", + ( + "series", + "show", + "UNRATE", + "--realtime-start", + "2000-01-01", + "--realtime-end", + "2000-12-31", + ), + ) + ) + return cases + + +def _observation_cases() -> list[ProbeCase]: + """`series observations`: frequencies, units transforms, ALFRED, "." gaps. + + Returns: + list[ProbeCase]: The observation cases. + """ + + def obs(case: str, *argv: str) -> ProbeCase: + return ProbeCase("series-observations", case, ("series", "observations", *argv)) + + return [ + obs( + "DGS10_2024", + "DGS10", + "--observation-start", + "2024-01-01", + "--observation-end", + "2024-12-31", + ), + obs("GNPCA", "GNPCA"), # full annual history, small + obs( + "GDP_quarterly", + "GDP", + "--observation-start", + "2015-01-01", + "--observation-end", + "2024-12-31", + ), + obs("TWEXB", "TWEXB"), # discontinued: fixed end of data + obs( + "DEXCAUS_holidays", + "DEXCAUS", + "--observation-start", + "2023-12-20", + "--observation-end", + "2024-01-05", + ), # "." missing values + obs( + "CPIAUCSL_pch", + "CPIAUCSL", + "--units", + "pch", + "--observation-start", + "2020-01-01", + "--observation-end", + "2022-12-31", + ), + obs("GNPCA_log", "GNPCA", "--units", "log"), + obs( + "FEDFUNDS_chg", + "FEDFUNDS", + "--units", + "chg", + "--observation-start", + "2022-01-01", + "--observation-end", + "2023-12-31", + ), + obs( + "DGS10_freq-m", + "DGS10", + "--frequency", + "m", + "--observation-start", + "2023-01-01", + "--observation-end", + "2024-12-31", + ), + obs( + "UNRATE_vintage-2001", + "UNRATE", + "--realtime-start", + "2001-01-01", + "--realtime-end", + "2001-12-31", + "--observation-start", + "2000-01-01", + "--observation-end", + "2000-12-31", + ), # ALFRED revisions + obs( + "DGS10_future-window", + "DGS10", + "--observation-start", + "2030-01-01", + "--observation-end", + "2030-12-31", + ), # empty-or-error evidence + ] + + +def _series_search_cases() -> list[ProbeCase]: + """The three search commands, pagination, filters, and an empty result. + + Returns: + list[ProbeCase]: The search-family cases. + """ + + return [ + ProbeCase("series-search", "monetary", ("series", "search", "monetary")), + ProbeCase( + "series-search", + "monetary_page2", + ("series", "search", "monetary", "--limit", "5", "--offset", "5"), + ), + ProbeCase( + "series-search", + "unemployment_filter-monthly", + ( + "series", + "search", + "unemployment", + "--filter-variable", + "frequency", + "--filter-value", + "Monthly", + "--limit", + "5", + ), + ), + ProbeCase( + "series-search", + "exchange_tags", + ( + "series", + "search", + "exchange rate", + "--tag-names", + "usa;daily", + "--limit", + "5", + ), + ), + ProbeCase( + "series-search", "EMPTY_RESULT", ("series", "search", "zzxqqzyxnonsense") + ), + ProbeCase( + "series-search-tags", "monetary", ("series", "search-tags", "monetary") + ), + ProbeCase( + "series-search-tags", + "monetary_filtered", + ( + "series", + "search-tags", + "monetary", + "--tag-search-text", + "quarterly", + "--limit", + "10", + ), + ), + ProbeCase( + "series-search-related-tags", + "monetary_usa", + ( + "series", + "search-related-tags", + "monetary", + "--tag-names", + "usa", + "--limit", + "10", + ), + ), + ] + + +def _series_misc_cases() -> list[ProbeCase]: + """vintage-dates, categories, tags, release, updates for the series noun. + + Returns: + list[ProbeCase]: The remaining series-family cases. + """ + + return [ + ProbeCase("series-vintagedates", "GNPCA", ("series", "vintage-dates", "GNPCA")), + ProbeCase( + "series-vintagedates", + "GNPCA_page-desc", + ( + "series", + "vintage-dates", + "GNPCA", + "--limit", + "10", + "--offset", + "5", + "--sort-order", + "desc", + ), + ), + ProbeCase("series-categories", "DGS10", ("series", "categories", "DGS10")), + ProbeCase("series-categories", "UNRATE", ("series", "categories", "UNRATE")), + ProbeCase("series-tags", "DGS10", ("series", "tags", "DGS10")), + ProbeCase( + "series-tags", + "GNPCA_by-name", + ("series", "tags", "GNPCA", "--order-by", "name", "--sort-order", "desc"), + ), + ProbeCase("series-release", "DGS10", ("series", "release", "DGS10")), + ProbeCase("series-release", "GNPCA", ("series", "release", "GNPCA")), + ProbeCase("series-updates", "default", ("series", "updates")), + ProbeCase("series-updates", "limit10", ("series", "updates", "--limit", "10")), + # argv is time-relative by design (updates only exist near "now"); + # its manifest argv drifts on every re-run — corpus diffs must + # ignore the start/end-time values for this one case. + ProbeCase( + "series-updates", + "RECENT_WINDOW", + ( + "series", + "updates", + "--start-time", + _days_ago_compact(2), + "--end-time", + _days_ago_compact(0), + "--limit", + "10", + ), + ), + ProbeCase( + "series-updates", + "filter-macro", + ("series", "updates", "--filter-value", "macro", "--limit", "10"), + ), + ] + + +def _category_cases() -> list[ProbeCase]: + """Category noun: root/mid/leaf ids, children/related, series/tags. + + Category ids: 0 = root, 32991 = Money/Banking (mid), 125 = Trade + Balance (deep), 32073 = a category with related categories. + + Returns: + list[ProbeCase]: The category-family cases. + """ + + return [ + ProbeCase("category", "root", ("category", "show", "0")), + ProbeCase("category", "32991", ("category", "show", "32991")), + ProbeCase("category", "125", ("category", "show", "125")), + ProbeCase("category-children", "root", ("category", "children", "0")), + ProbeCase("category-children", "32991", ("category", "children", "32991")), + ProbeCase( + "category-children", "125_maybe-leaf", ("category", "children", "125") + ), + ProbeCase("category-related", "32073", ("category", "related", "32073")), + ProbeCase( + "category-related", "125_maybe-empty", ("category", "related", "125") + ), + ProbeCase("category-series", "125", ("category", "series", "125")), + ProbeCase( + "category-series", + "125_page-desc", + ( + "category", + "series", + "125", + "--limit", + "3", + "--offset", + "3", + "--sort-order", + "desc", + ), + ), + ProbeCase( + "category-series", + "32991_filter-monthly", + ( + "category", + "series", + "32991", + "--filter-variable", + "frequency", + "--filter-value", + "Monthly", + "--limit", + "5", + ), + ), + ProbeCase("category-tags", "125", ("category", "tags", "125")), + ProbeCase( + "category-tags", + "125_group-gen", + ("category", "tags", "125", "--tag-group-id", "gen", "--limit", "10"), + ), + ProbeCase( + "category-related-tags", + "125_services-quarterly", + ( + "category", + "related-tags", + "125", + "--tag-names", + "services;quarterly", + "--limit", + "10", + ), + ), + ] + + +def _release_cases() -> list[ProbeCase]: + """Release noun: catalog, calendar, entity lookups, tables. + + Release ids: 53 = GDP (has tables), 10 = CPI, 175 = Employment Cost. + + Returns: + list[ProbeCase]: The release-family cases. + """ + + return [ + ProbeCase("releases", "default", ("release", "list")), + ProbeCase( + "releases", + "page-desc", + ( + "release", + "list", + "--limit", + "5", + "--offset", + "2", + "--sort-order", + "desc", + ), + ), + ProbeCase( + "releases-dates", "limit50", ("release", "calendar", "--limit", "50") + ), + ProbeCase( + "releases-dates", + "nodata", + ( + "release", + "calendar", + "--include-release-dates-with-no-data", + "--limit", + "20", + ), + ), + ProbeCase("release", "53", ("release", "show", "53")), + ProbeCase("release", "10", ("release", "show", "10")), + ProbeCase( + "release-dates", + "53_desc", + ("release", "dates", "53", "--limit", "10", "--sort-order", "desc"), + ), + ProbeCase( + "release-dates", + "53_nodata", + ( + "release", + "dates", + "53", + "--include-release-dates-with-no-data", + "--limit", + "10", + ), + ), + ProbeCase("release-series", "53", ("release", "series", "53", "--limit", "5")), + ProbeCase( + "release-series", + "10_filter-monthly", + ( + "release", + "series", + "10", + "--filter-variable", + "frequency", + "--filter-value", + "Monthly", + "--limit", + "5", + ), + ), + ProbeCase("release-sources", "53", ("release", "sources", "53")), + ProbeCase("release-sources", "10", ("release", "sources", "10")), + ProbeCase("release-tags", "53", ("release", "tags", "53", "--limit", "10")), + ProbeCase( + "release-related-tags", + "53_usa", + ("release", "related-tags", "53", "--tag-names", "usa", "--limit", "10"), + ), + ProbeCase("release-tables", "53", ("release", "tables", "53")), + ProbeCase( + "release-tables", + "53_with-values", + ( + "release", + "tables", + "53", + "--include-observation-values", + "--observation-date", + "2023-01-01", + ), + ), + ProbeCase( + "release-tables", "175_maybe-no-tables", ("release", "tables", "175") + ), # with/without-tables axis + ] + + +def _source_cases() -> list[ProbeCase]: + """Source noun: catalog + entity + releases (ids 1 = Board, 3 = BLS). + + Returns: + list[ProbeCase]: The source-family cases. + """ + + return [ + ProbeCase("sources", "default", ("source", "list")), + ProbeCase("sources", "limit5", ("source", "list", "--limit", "5")), + ProbeCase("source", "1", ("source", "show", "1")), + ProbeCase("source", "3", ("source", "show", "3")), + ProbeCase("source-releases", "1", ("source", "releases", "1")), + ProbeCase( + "source-releases", + "1_page-desc", + ("source", "releases", "1", "--limit", "5", "--sort-order", "desc"), + ), + ] + + +def _tag_cases() -> list[ProbeCase]: + """Tag noun: catalog with group/search/pagination, series, related. + + Returns: + list[ProbeCase]: The tag-family cases. + """ + + return [ + ProbeCase("tags", "default", ("tag", "list")), + ProbeCase("tags", "group-freq", ("tag", "list", "--tag-group-id", "freq")), + ProbeCase( + "tags", + "search-quarterly", + ("tag", "list", "--search-text", "quarterly", "--limit", "20"), + ), + ProbeCase( + "tags", + "page-by-name", + ( + "tag", + "list", + "--limit", + "10", + "--offset", + "5", + "--order-by", + "name", + "--sort-order", + "desc", + ), + ), + ProbeCase( + "tags-series", + "usa-quarterly", + ("tag", "series", "usa;quarterly", "--limit", "10"), + ), + ProbeCase( + "tags-series", + "usa_exclude-nsa", + ("tag", "series", "usa", "--exclude-tag-names", "nsa", "--limit", "10"), + ), + ProbeCase("related-tags", "usa", ("tag", "related", "usa", "--limit", "10")), + ProbeCase( + "related-tags", + "monetary_group-geo", + ("tag", "related", "monetary", "--tag-group-id", "geo", "--limit", "10"), + ), + ] + + +def _error_cases() -> list[ProbeCase]: + """Deliberate failures: every error-payload family, one bad API key. + + Returns: + list[ProbeCase]: The error-capture cases. + """ + + return [ + ProbeCase("series", "ERR_invalid-id", ("series", "show", "ZZZNOTREAL")), + ProbeCase( + "series-observations", + "ERR_invalid-id", + ("series", "observations", "ZZZNOTREAL"), + ), + ProbeCase( + "series-vintagedates", + "ERR_invalid-id", + ("series", "vintage-dates", "ZZZNOTREAL"), + ), + ProbeCase("category", "ERR_invalid-id", ("category", "show", "999999999")), + ProbeCase("release", "ERR_invalid-id", ("release", "show", "999999")), + ProbeCase("source", "ERR_invalid-id", ("source", "show", "999999")), + ProbeCase("tags-series", "ERR_bogus-tag", ("tag", "series", "zzqqxbogustag")), + ProbeCase( + "series", + "ERR_bad-api-key", + ("--api-key", FAKE_API_KEY, "series", "show", "GNPCA"), + ), + ] + + +def build_cases() -> list[ProbeCase]: + """Full declarative probe plan. + + Returns: + list[ProbeCase]: Every case, in execution order. + """ + + return ( + _series_show_cases() + + _observation_cases() + + _series_search_cases() + + _series_misc_cases() + + _category_cases() + + _release_cases() + + _source_cases() + + _tag_cases() + + _error_cases() + ) + + +ClientFactory = Callable[[str], "_FredClientProtocol"] + + +def _default_client_factory(api_key: str) -> _FredClientProtocol: + """Build the real FRED client for one probe case. + + Returns: + _FredClientProtocol: A fresh client bound to ``api_key``. + """ + + return FredClient(api_key) + + +def _raise_rule_error(message: str) -> None: + """Raise a ``ValueError`` for a cross-param rule violation. + + Extracted so the ``try`` block in :func:`_execute_case` only ever calls + out to functions, never raises directly (TRY301). + + Raises: + ValueError: Always; ``message`` becomes the error text. + """ + + raise ValueError(message) + + +async def _execute_case( + parser: argparse.ArgumentParser, + case: ProbeCase, + api_key: str, + client_factory: ClientFactory, +) -> str: + """Parse, validate, and run one case through the CLI pipeline. + + Propagates ``ValueError`` (argument coercion or a cross-param rule + failure), ``FredRequestError``, or any other ``FredqError`` to the + caller, which records them as manifest entries instead of crashing. + + Returns: + str: The response body (empty string if never reached). + """ + + namespace = parser.parse_args(list(case.argv)) + command = COMMANDS_BY_NAME[namespace.command_name] + params = _collect_params(command, namespace) + rule_error = enforce_cross_param_rules(command, params) + if rule_error is not None: + _raise_rule_error(rule_error) + case_key = namespace.api_key or api_key + return await _run_command(client_factory(case_key), command, params) + + +async def _run_case( + parser: argparse.ArgumentParser, + case: ProbeCase, + corpus_dir: Path, + api_key: str, + client_factory: ClientFactory, +) -> dict[str, object]: + """Execute one case through the CLI parsing pipeline; write its body. + + Returns: + dict[str, object]: The manifest entry for this case. + """ + + entry: dict[str, object] = { + "argv": list(case.argv), + "status": "ok", + "http_status": 200, + } + body = "" + try: + body = await _execute_case(parser, case, api_key, client_factory) + except FredRequestError as exc: + entry["status"] = "http_error" + entry["http_status"] = exc.status_code + entry["detail"] = scrub_secrets(str(exc), api_key) + body = exc.body or "" + except (FredqError, ValueError) as exc: + # ValueError covers param coercion and cross-param rule violations; + # a typo'd probe case becomes a manifest entry, not a crash. + entry["status"] = "error" + entry["http_status"] = None + entry["detail"] = scrub_secrets(str(exc), api_key) + if body and entry["status"] == "ok": + try: + json.loads(body) + except ValueError as exc: + # An HTTP-200 body that does not parse as JSON is corruption: + # record it as an error with NO corpus file, so a manifest "ok" + # always means the capture parses (spec §7; yoghurt trap). + # http_status deliberately stays 200 here — the HTTP transaction + # succeeded; the corruption is in the payload. Only non-HTTP + # failures use http_status=None. + entry["status"] = "error" + entry["detail"] = f"response is not valid JSON: {exc}" + return entry + if body: + relative = f"{case.command}/{sanitize(case.case)}.json" + target = corpus_dir / relative + target.parent.mkdir(parents=True, exist_ok=True) + # write_bytes: no newline translation (CRLF trap), byte-exact bodies. + target.write_bytes(scrub_secrets(body, api_key).encode("utf-8")) + entry["file"] = relative + return entry + + +def _write_manifest( + manifest: dict[str, object], case_count: int, corpus_dir: Path +) -> None: + """Attach run metadata and write manifest.json to the corpus dir.""" + + manifest["_meta"] = { + "fetched_at": datetime.now(timezone.utc).isoformat(), + "case_count": case_count, + } + corpus_dir.mkdir(parents=True, exist_ok=True) + text = json.dumps(manifest, indent=2, sort_keys=True) + "\n" + with (corpus_dir / "manifest.json").open( + "w", encoding="utf-8", newline="\n" + ) as handle: + handle.write(text) + + +async def run_probe( + cases: list[ProbeCase], + corpus_dir: Path, + *, + api_key: str, + client_factory: ClientFactory = _default_client_factory, + delay_seconds: float = 0.0, +) -> None: + """Run every case sequentially; write the corpus plus manifest.json. + + The manifest is written in a ``finally`` block so hours of politely + rate-limited evidence survive a crash on a late case. + """ + + parser = build_parser() + manifest: dict[str, object] = {} + try: + for index, case in enumerate(cases, start=1): + key = f"{case.command}/{case.case}" + print(f"[{index}/{len(cases)}] {key}", file=sys.stderr) + manifest[key] = await _run_case( + parser, case, corpus_dir, api_key, client_factory + ) + if delay_seconds: + await asyncio.sleep(delay_seconds) + finally: + _write_manifest(manifest, len(manifest), corpus_dir) + + +def main() -> int: + """Run the full probe against live FRED. + + Returns: + int: Process exit code. + """ + + api_key = resolve_api_key() + asyncio.run( + run_probe( + build_cases(), + CORPUS_DIR, + api_key=api_key, + delay_seconds=POLITENESS_DELAY_SECONDS, + ) + ) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/tox.ini b/tox.ini index 5b6346c..e7aecd8 100644 --- a/tox.ini +++ b/tox.ini @@ -28,7 +28,7 @@ commands = ruff format --check --quiet --diff --target-version py310 . ruff check --target-version py310 . pyright --pythonversion {env:PYRIGHT_PYTHON_VERSION} - pytest -n auto + python -m tools.check_no_skips -n auto [testenv:check] description = Run checks once on the current Python version @@ -37,13 +37,20 @@ commands = ruff format --check --quiet --diff --target-version py310 . ruff check --target-version py310 . pyright - pytest -n auto + python -m tools.check_no_skips -n auto [testenv:test] description = Run only tests commands = pytest +[testenv:pandas] +description = Run the pandas/pyarrow extra's tests, failing if any of them skip +extras = + pandas +commands = + python -m tools.check_no_skips tests/test_frames.py -q -rs + [testenv:spell] description = Run spell check skip_install = true diff --git a/uv.lock b/uv.lock index a3158a3..6d72627 100644 --- a/uv.lock +++ b/uv.lock @@ -7,6 +7,15 @@ resolution-markers = [ "python_full_version < '3.11'", ] +[[package]] +name = "annotated-types" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" }, +] + [[package]] name = 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