FRED

Free & Open alternative data provider · 1 listed dataset

FRED (Federal Reserve Economic Data) is a free online database maintained by the Research Division of the Federal Reserve Bank of St. Louis. It aggregates more than 816,000 economic time series from hundreds of public and private sources, covering topics such as banking, employment, inflation, interest rates, gross domestic product, exchange rates, and monetary aggregates [1][2].

Since its launch in 1991, FRED has become one of the most widely used reference sources for macroeconomic data. It pairs a browsable web interface with a public REST API, an Excel add-in, and mobile apps, and it anchors an ecosystem of companion services, ALFRED for historical data vintages, GeoFRED for maps, FRASER for archival documents, and CASSIDI for banking-market data [1][2].

What It Does

FRED collects time series from original producers, U.S. government agencies such as the Census Bureau and the Bureau of Labor Statistics, but also universities, nonprofit organizations, trade associations, and private companies including Zillow and the National Association of Realtors, and republishes them under a uniform interface with consistent metadata [2].

Users can search or browse series by category, release, source, or popularity; chart and transform observations; download data in standard formats; and follow a release calendar that tracks when each dataset updates. Trending series on the service include GDP, CPI, the unemployment rate, the federal funds rate, and Treasury yields [1].

Data and Methodology

The platform organizes content as series, individual economic time series made up of dated observations, tied to releases and sources, with hierarchical categories and non-hierarchical tags for classification. Series metadata document the originating source, units, frequency, and seasonal adjustment method [2].

A distinctive feature is the vintage concept: through the companion ALFRED service, researchers can retrieve the version of a series as it existed at a specific point in time, which supports replication of analyses based on unrevised data and study of how statistics are revised [2].

Products

The core product is the FRED website and graphing tool, complemented by the FRED API, a REST interface returning JSON and XML for series observations, releases, categories, and tags, plus an Excel add-in and mobile applications [1][2].

Companion services from the same bank include ALFRED (archival vintages of economic data), GeoFRED (color-coded maps at state, metropolitan, and county level), FRASER (a digital archive of Federal Reserve and U.S. financial-history publications), and CASSIDI (banking market concentration data with HHI analysis). The research division also integrates with IDEAS/RePEc, a bibliographic database of economics research [1][2].

Delivery and Pricing

FRED is free to use. Web access, downloads, graphs, widgets, and the Excel add-in require no payment, and the public API is available at no cost after registering for an API key. Data can be embedded elsewhere through charts and an embeddable widget [1][2].

As a Federal Reserve Bank product, FRED carries institutional authority: series retain their original-source attribution while benefiting from the St. Louis Fed's curation, documentation standards, and citation guidelines [2].

Buyers and Use Cases

The platform is widely used by economists, researchers, journalists, students, policymakers, and financial-market participants for analysis and forecasting. Its machine-readable API has driven adoption in quantitative finance, economics, and data science, supported by third-party libraries for R, Python, Ruby, Julia, and command-line tools [2].

In alternative-data practice, FRED functions less as an exotic signal and more as the canonical baseline layer: teams align proprietary datasets against official series such as payrolls, CPI, yield curves, or the St. Louis Financial Stress Index hosted on the platform, and use ALFRED vintages to avoid look-ahead bias in backtests [2].

History

FRED was created by the Federal Reserve Bank of St. Louis to improve public access to economic and financial data, and the service brands itself a trusted source for economic data since 1991 [1]. Over time it expanded from a small collection of U.S. macroeconomic indicators into a large-scale aggregation service with domestic and international data from hundreds of providers [2].

Its influence grew alongside the open-data movement: economist Paul Krugman described FRED in 2012 as an essential tool for real-time economic analysis, and a 2024 New York Times article chronicled the service's broad fandom among analysts and educators. Recent additions have tracked newer themes, including recession-probability estimates and data on the adoption of generative artificial intelligence [2].

Landscape

FRED coexists with other free government data platforms: Data.gov indexes federal open data broadly, FiscalData covers Treasury fiscal operations, and FDIC services expose bank-level regulatory data. Commercial macro vendors differentiate on breadth, cleaning, and delivery speed rather than on the underlying numbers themselves [2].

Within that landscape FRED's moat is convenience and trust, a single documented API and UI over hundreds of official sources, which has made it a default citation point for economic time series in research, journalism, and financial modeling [2].

More datasets from FRED

FRED lists 1 datasets on this encyclopedia. The most representative listings:

More about Free & Open Data

Free & Open Data is one of the signal families covered by The Alternative Data Encyclopedia, with 36 providers and 322 datasets listed in the register. For how the signal is generated, its caveats and the compliance considerations, and the full provider list, see the category article.

Further reading

  • How funds evaluate alternative data vendorsEvaluating alternative-data providers: research fit, provenance, historical timing, permitted use and the evidence needed for an informed purchasing decision.
  • Open vs commercial alternative dataWhat free and open datasets can and cannot do: where public data rivals paid panels, where it cannot compete, and how open sources fit a professional research workflow.
  • Alternative data for hedge fundsA practical guide to alternative data for hedge funds: team design, budget sequencing, infrastructure, vendor portfolio construction and the metrics that show whether the program creates investment value.
  • Free alternative data sourcesThe practical list of free alternative-data sources for investors: public filings, official statistics, satellite and earth observation, on-chain data, web archives and open registries, what each covers, what it costs in engineering effort, and where free data falls short.