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 256 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.
Sources whose licenses forbid re-hosting are catalogued honestly as metadata-only pointers to the original publisher — never silently redistributed.
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 header32 sources whose licenses permit re-hosting. Full data served from our store — CSV downloads, API access, snapshot-pinned bundles. License and attribution attached to every series.
Best for: direct downloads, reproducible research bundles, API pipelines.
224 sources whose licenses forbid re-hosting. Fully catalogued — searchable metadata, machine-readable Dataset/Croissant records, and pointers to the original publisher. The data itself stays with its owner.
Best for: discovery, license checking, citing the original source correctly.
We never silently redistribute restricted data — a direct request for a restricted series returns an honest HTTP 451 with a link to the publisher.
256 sources across the pillars of empirical economics and finance.
GDP, employment, production — national statistical offices (ABS, INSEE, ISTAT, StatCan, Eurostat) and the IMF/World Bank.
Inflation, interest rates, FX — ECB, Fed Board, BIS, Bundesbank, and dozens of national central banks.
Bilateral trade (CEPII BACI), tariffs, development indicators (World Bank WDI, UN SDG, UNDP HDR).
EIA, IRENA, Ember, Global Carbon Budget, NASA GISS — production, prices, emissions, climate.
Governance (WGI, V-Dem, Freedom House), conflict (UCDP, COW), inequality (WID, SWIID), well-being (WHR).
Maddison Project (year 1 CE onward), Penn World Table, Shiller, Fama-French, Barro-Lee, and more.
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 Server256 sources · search datasets in English, or series in 6 languages via the live API
| 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.
256 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. Sources whose license forbids re-hosting are catalogued as metadata-only pointers to the original publisher — they are never redistributed.
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.