FRED has launched a new version of its application programming interface (API). An API enables users to write programs and build applications that retrieve economic data from FRED. FRED’s API Version 2 allows account holders to retrieve observations for all FRED series in any release in bulk and obtain the entire history in JSON or XML format. Users interested in using this new feature to make data requests will need an API key, which can be requested via a FRED user account.

Starting January 5, 2026, FRED user accounts will no longer be able to save archival data from our ALFRED website. Other content in your FRED user account will not be affected and will be available as usual. The data in the ALFRED website also will not be affected and will be available as usual from that website.

To prepare for this change, please adjust or save your existing ALFRED archival content before the end of the year. You may log into your FRED user account and download archival data lists, adjust any mixed data lists to remove the archival data, and write down the custom graph links of saved ALFRED graphs.

If you have any questions, please contact us at https://fred.stlouisfed.org/contactus/.

FRED has added 12 data series of temporary open market operations and tri-party collateral rate data reported by the Federal Reserve Bank of New York.

• The amounts of Treasury securities submitted as collateral in both repurchase and reverse repurchase agreements.
• The offering rate for overnight reverse repurchase agreements (RRPONTSYOFFR).
• The standing repo facility minimum bid rate (SRFTSYD) is the minimum bid rate for propositions in Standing Repo (repurchase agreement) Facility operations. See here for more information.
• The tri-party general collateral rate (TGCR) is the median value rate on overnight, specific-counterparty tri-party general collateral repurchase agreement (repo) transactions secured by Treasury securities. See here for more information

Additional data on tri-party general collateral transactions include series on transaction volume and the 1st, 25th, 75th, and 99th volume-weighted percentile TGCR rates.

This announcement was updated on November 17, 2025.

If funding for U.S. federal government agencies is not renewed by October 1, 2025, some U.S. data series updates may be suspended. The FRED team will monitor the situation and update the series in the FRED database as soon as new data are made available.

The FRED team will continue to serve all available data and tools to its users. Data not impacted by the government shutdown will continue to be updated on its regular schedule.

U.S. government data products from the following sources could be affected:

• Board of Governors of the Federal Reserve System
• U.S. Bureau of Economic Analysis
• U.S. Bureau of the Census
• U.S. Bureau of Labor Statistics
• U.S. Department of Labor
• U.S. Department of the Treasury. Fiscal Service
• Federal Deposit Insurance Corporation
• Federal Reserve Bank of St. Louis

FRED has added 20 data series about work-from-home practices in the United States reported by Jose Maria Barrero, Nicholas Bloom, and Steven J. Davis.

Information is collected through the U.S. Survey of Working Arrangements and Attitudes (SWAA). This survey gathers monthly data from 2,500 to 10,000 U.S. residents aged between 20 and 64 years of age about the number of full-pay working days worked from home. Data are organized by industry and worker characteristics.

More details are available here.

FRED has added 67 new series to its Large Bank Credit Card and Mortgage Data release. The data are reported by the Federal Reserve Bank of Philadelphia.

The Philadelphia Fed uses information collected by the Federal Reserve through a mandatory monthly report known as FR Y-14M. The respondent panel is made up of three types of organizations, all with $100 billion or more in total consolidated assets: U.S. bank holding companies, U.S. intermediate holding companies of foreign banking organizations, and covered savings and loan holding companies.

Visit the Philadelphia Fed website for more information about this dataset.