One account. Every library.
HF Data Library · Econ Data Library · more to come
Free, research-grade macro & financial data — one namespace over the world's statistical sources. Every series carries its license, provenance, and producer-first citation. Reproducible, snapshot-pinned, and continuously updated.
Series and observation counts are measured on our data store (as of —) — never estimated, never hardcoded. Years of history: the earliest catalogued series (Maddison Project / GGDC) begin in year 1 CE.
A single, citable library over 203 economic and financial data sources — national statistical offices, central banks, international organizations, trade, development, energy, and research datasets.
Every series lives in one namespace (source:series:geography), resolves over a free REST API, and ships with its license, attribution requirements, and a producer-first citation. Bundles are snapshot-pinned so your results reproduce exactly.
Everything in the library is real, downloadable data — if we can’t host a source, we don’t list it.
No subscription. No paywall. One free key for the whole ElkassabgiData family, including HF Data Library.
# Python — any series in a few lines
import io, requests, pandas as pd
API = "https://econdl-api.elkassabgi.workers.dev"
r = requests.get(
f"{API}/v1/series/worldbank:NY.GDP.MKTP.CD:USA.csv",
headers={"X-API-Key": "YOUR_FREE_KEY"})
df = pd.read_csv(io.StringIO(r.text), comment="#")
# -> tidy date,value rows with the license and
# producer-first citation in the CSV headerEvery dataset here is served from our store as citation-headed CSV, over the free REST API, and in snapshot-pinned bundles — with license and attribution attached to every series. Licensed for re-hosting, with Python and R clients ready to go.
Best for: direct downloads, reproducible research bundles, API pipelines.
If a source's license doesn't permit re-hosting, we simply don't list it — no dead-end pages, no teasers. The moment a publisher grants permission, its data appears here as a full download.
203 sources across the pillars of empirical economics and finance — click a pillar to browse its sources.
GDP, employment, production — national statistical offices (ABS, INSEE, ISTAT, StatCan, Eurostat) and the IMF/World Bank.
Browse sources →Inflation, interest rates, FX — ECB, Fed Board, BIS, Bundesbank, and dozens of national central banks.
Browse sources →Bilateral trade (CEPII BACI), tariffs, development indicators (World Bank WDI, UN SDG, UNDP HDR).
Browse sources →EIA, IRENA, Ember, Global Carbon Budget, NASA GISS — production, prices, emissions, climate.
Browse sources →Governance (WGI, V-Dem), conflict (UCDP, COW), inequality (WID, SWIID), well-being (WHR).
Browse sources →Maddison Project (year 1 CE onward), Penn World Table, Shiller, Fama-French, Barro-Lee, and more.
Browse sources →Search the catalog, pick series, and download citation-headed CSVs — individually or as a multi-series ZIP bundle built in your browser.
Browse DownloadsProgrammatic search, metadata, series CSV, and reproducible snapshot-pinned bundles. Free key. Python and R clients available.
Get API AccessLet Claude or any MCP-capable assistant search and fetch series directly — with licenses, citations, and freshness attached to every answer.
MCP ServerAll 203 sources — searchable and filterable by pillar, region, topic, and access tier; series search in 6 languages.
Open the Data Catalog →| Feature | Econ Data Library | FRED | DBnomics | Bloomberg |
|---|---|---|---|---|
| Price | Free | Free | Free | $25,000+/yr |
| Individual series | billions | ~800k | 1B+ | Terminal-gated |
| License on every series | Yes | Partial | Partial | Proprietary |
| Producer-first citations | Every series | No | No | No |
| Reproducible bundles | Snapshot-pinned | No | No | No |
| AI/MCP access | Built-in | No | No | Paid add-on |
| Machine-readable metadata | Dataset + Croissant | Partial | Partial | No |
| Multilingual search | 6 languages | English | English | Multiple |
| Update transparency | Public status board | Partial | Partial | Opaque |
Series counts are approximate for third parties (their own published figures); ours is measured live on the data store.
Yes. Browsing, metadata, and the catalog need no account. Data downloads use a free API key — no subscription, no paywall. One free ElkassabgiData account works across the whole family, including hfdatalibrary.com.
203 economic and financial data sources — national statistics, central banks, international organizations, trade, development, energy, and research datasets — indexed in one namespace with billions of individual series (live counts are measured on the data store and shown on this page).
Every series carries its source's license and attribution requirements. We only list sources whose license permits re-hosting; anything we can't redistribute isn't catalogued at all — never silently served.
Every series and every bundle ships a producer-first citation (the original statistical agency first, the library second). Download bundles are snapshot-pinned so a citation reproduces the exact data.
Yes — a free REST API for search, metadata, series CSV, and reproducible bundles, plus an MCP server that lets AI assistants query the library directly with licenses and citations attached.
Six (English, Arabic, Spanish, French, Russian, Chinese) using only the sources' official translations — titles are never machine-translated.