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Access over 816,000 economic time series via the Federal Reserve Bank of St. Louis FRED database, a primary resource for financial and macroeconomic analysis.
The Federal Reserve Bank of St. Louis’s FRED database now provides public access to more than 816,000 economic time series, serving as a primary repository for researchers, policymakers, and financial market participants [2]. This platform aggregates data from hundreds of public and private sources to track indicators ranging from interest rates and gross domestic product to consumer price indexes and employment statistics [2].
| At a glance | |
|---|---|
| Total Data Series | 816,000+ |
| Primary Maintainer | Federal Reserve Bank of St. Louis |
| Data Scope | Domestic and international economic indicators |
| Access Method | Public web API (JSON/XML) |
Originally launched as a modest collection of U.S. macroeconomic indicators, FRED has evolved into a large-scale aggregation service that integrates data from government agencies, universities, and private entities like Zillow and the National Association of Realtors [2]. The platform’s utility for market participants stems from its ability to provide machine-readable data through a public REST API, which supports integration into financial models, forecasting systems, and statistical software environments such as R and Python [2].
Beyond current statistics, the database includes specialized services like ALFRED, which allows users to access "vintage" versions of data as they existed at specific points in history [2]. This functionality is critical for researchers attempting to reproduce past analyses or understand the impact of historical data revisions on policy decisions [2]. The platform also hosts FRASER, a digital archive that preserves historical publications, speeches, and congressional hearings related to the U.S. financial system [2].
The application of these tools extends beyond academic research into local policy and financial inclusion efforts. For instance, regional Federal Reserve banks utilize localized data—such as the Credit Insecurity Index—to identify specific geographic areas where residents face barriers to the banking system [3]. By layering these metrics with broader economic indicators, practitioners can target outreach for programs like Bank On, which aims to connect unbanked households to affordable financial services [3].
The platform continues to incorporate new datasets to reflect shifting economic priorities. Recent additions include data on the probability of recessions, the adoption of generative artificial intelligence, and small business credit surveys [1]. These updates ensure that the database remains a relevant tool for tracking emerging trends in the labor market and broader business conditions [1].
As economic analysis becomes increasingly reliant on high-frequency, machine-readable data, the role of centralized repositories like FRED remains central to maintaining transparency in financial and public policy research. The platform’s ability to bridge the gap between raw government statistics and actionable insights continues to shape how both institutional investors and local community organizers interpret the current economic landscape.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 3 outlets · Sep 8, 2026 · How we report
The Federal Reserve is scheduled to hold its next interest rate decision meeting on September 15-16, 2026.
As of July 2026, the U.S. federal funds rate target range has been maintained at 3.5 percent to 3.75 percent.
Fed Rates are being debated because officials are split between concerns over persistently high inflation and the desire to maintain economic stability, with some members favoring a hike and others preferring to hold steady based on incoming economic data.
Fed Rates are influenced by inflation data because the Federal Reserve aims to keep inflation near a 2 percent long-term goal; if price pressures remain high, officials may increase rates to cool the economy.