This dataset is comprised of forty-five entities that are part of the United States Federal Reserve System according to the United States Department of Treasury. The Federal Reserve System is comprised of twelve Federal Reserve Banks and twenty-five Federal Reserve Branches. This data set contains all of the banks and branches as well as some check processing centers and offices that are affiliated with the US Federal Reserve System. This dataset does not contain the Federal Reserve Headquarters in Washington DC because it is an 'Administration Only' location. There is an entity within this dataset that is also included in the HSIP Gold Bullion Repositories 2006 Q3 dataset as the entity is considered to be a bullion repository as well as a Federal Reserve. The currentness of this dataset is indicated by the more recent date of the [CONTDATE] attribute and/or the [GEODATE] attribute. Based upon these attributes the oldest record dates from 07/19/2006 and the newest record dates from 08/04/2006. The most current [CONTDATE] is the most current contact date as provided by TGS. Due to the sensitive nature of these entities, TGS did not make contact with the entities within this dataset during this processing.
More details about each file are in the individual file descriptions.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
This dataset is maintained using FRED's API and Kaggle's API.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data set is a digitized version of “All-Bank Statistics, United States, 1896-1955,” (ABS) which the Board of Governors of the Federal Reserve System published in 1959. That volume contained annual aggregate balance sheet aggregates for all depository institutions by state and class of institution for the years 1896 to 1955. The depository institutions include nationally chartered commercial banks, state chartered commercial banks, and private banks as well as mutual savings bank and building and loan societies. The data comes from the last business day of the year or the closest available data. This digital version of ABS contains all data in the original source and only data from the original source.This data set is similar to ICPSR 2393, “U.S. Historical Data on Bank Market Structure, ICPSR 2393” by Mark Flood. ICPSR 2393 reports data from ABS but excludes subcategories of data useful for analyzing the liquidity of bank balance sheets, the operation of financial markets, the functioning of the financial network, and depository institutions’ contribution to monetary aggregates. ICPSR 2393, for example, reports total cash assets from ABS but does not report the subcomponents of that total: bankers balances, cash in banks’ own vaults, and items in the process of collection. Those data are needed to understand how much liquidity banks kept on hand, how much liquidity banks stored in or hoped to draw from reserve depositories, and how much of the apparent cash in the financial system was double-counted checks in the process of collection, commonly called float. Those data are also needed to understand the contribution of commercial banks to the aggregate money supply since cash in banks’ vaults counts within monetary aggregates while interbank deposits and float do not. While this dataset provides comprehensive and complete data from ABS, ICPSR 2393 contains information from other sources that researchers may find valuable including data from the aggregate income statements of nationally chartered banks and regulatory variables. To facilitate the use of that information, the naming conventions in this data set are consistent with those in ICPSR 2393.
The H.6 release, published weekly, provides measures of the monetary aggregates (M1 and M2) and their components.M1 and M2 are progressively more inclusive measures of money: M1 is included in M2.M1, the more narrowly defined measure, consists of the most liquid forms of money, namely currency and checkable deposits.The non-M1 components of M2 are primarily household holdings of savings deposits, small time deposits, and retail money market mutual funds.Monthly data are available back to January 1959; for most series, weekly data are available back to January 1975.
The Federal Reserve Banks pay interest on reserve balances of depository institutions. The Board of Governors has prescribed rules governing the payment of interest by Federal Reserve Banks in Regulation D (Reserve Requirements of Depository Institutions, 12 CFR Part 204). The rate paid on reserves balances is the interest on reserve balance (IORB) rate. The dataset containing the IORB rate is generally updated each business day at 4:30 p.m., Eastern Time, with the next business day's IORB rate. The dataset is not updated on federal holidays. For more information on interest on reserve balances please refer to Federal Reserve Board - Interest on Reserve Balances.
This dataset has no description from FRED.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1975-01-06
Observation End : 2019-11-25
This dataset is maintained using FRED's API and Kaggle's API.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Money Supply M0 in the United States decreased to 5648600 USD Million in May from 5732900 USD Million in April of 2025. This dataset provides - United States Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains the textual data of Federal Reserve Federal Open Market Committee (FOMC) meeting statements and minutes. Its purpose is to provide a historical archive of communications from the US central bank, offering valuable context and insights into monetary policy decisions and economic outlooks over time. The dataset is regularly updated, ensuring access to the latest official communications.
The dataset is typically provided in a CSV (Comma Separated Values) format. It includes communications from 2 February 2000 to 18 June 2025. The file is updated on a weekly basis with new data sourced directly from the Federal Reserve website. Based on available information, there are approximately 420 records within the specified date range. The dataset comprises roughly 52% minutes and 48% statements.
This dataset is ideal for various applications and use cases, particularly within finance, banking, and economics. It can be used for: * Natural Language Processing (NLP) tasks, such as sentiment analysis or topic modelling on central bank communications. * Economic research to analyse policy shifts, communication strategies, and their impact on financial markets. * Financial modelling and forecasting, by integrating insights from official monetary policy communications. * Academic studies on central banking, macroeconomic policy, and financial history.
The dataset covers the period from 2 February 2000 to 18 June 2025, providing an extensive historical record of FOMC communications. While the content focuses on US monetary policy, which is inherently US-centric, the dataset's availability is global, making it accessible to users worldwide. There are no specific notes on data availability for certain demographic groups or years, as the data represents official public releases.
CC0
This dataset is designed for a wide range of users, including: * Financial analysts and economists seeking to understand and forecast monetary policy decisions. * Data scientists and machine learning engineers developing NLP models for financial text. * Academic researchers in economics, finance, and political science studying central bank behaviour and communication. * Government policy advisors interested in historical policy decisions and their effects. * Journalists and media professionals reporting on economic and financial news.
Original Data Source: FOMC Meeting Statements & Minutes
The Enhanced Financial Accounts (EFA) initiative is a long-term effort to augment the Financial Accounts of the United States with a richer and more detailed picture of financial intermediation and interconnections. As part of this initiative, we are providing supplementary information that offers finer detail, additional types of activities, higher-frequency data, and more-disaggregated data, even if such data are not available for all sectors or easily incorporated into the existing structure of the Financial Accounts. Many of the EFA projects are accompanied by FEDS Notes that provide additional information or context. Like all Financial Accounts data, EFA data are updated regularly and subject to revision.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Central Bank Balance Sheet in the United States increased to 6661912 USD Million in July 9 from 6659598 USD Million in the previous week. This dataset provides - United States Central Bank Balance Sheet - actual values, historical data, forecast, chart, statistics, economic calendar and news.
The FR 2420 is a transaction-based report that collects daily liability data on federal funds, borrowings from non-exempt entities, Eurodollars, and certificates of deposits (CDs) and time deposits (TDs) from (1) domestically chartered commercial banks and thrifts that have $18 billion or more in total assets, or $5 billion or more in assets and meet certain unsecured borrowing activity thresholds, and (2) U.S. branches and agencies of foreign banks with total third-party assets of $2.5 billion or more.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Money Supply M2 in the United States increased to 21942 USD Billion in May from 21862.40 USD Billion in April of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.
The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families balance sheets, pensions, income, and demographic characteristics. Information is also included from related surveys of pension providers and the earlier such surveys conducted by the Federal Reserve Board. No other study for the country collects comparable information. Data from the SCF are widely used, from analysis at the Federal Reserve and other branches of government to scholarly work at the major economic research centers.The survey has contained a panel element over two periods. Respondents to the 1983 survey were re-interviewed in 1986 and 1989. Respondents to the 2007 survey were re-interviewed in 2009.The study is sponsored by the Federal Reserve Board in cooperation with the Department of the Treasury. Since 1992, data have been collected by the National Opinion Research Center (NORC) at the University of Chicago.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books. It has 1 row and is filtered where the book is A global monetary plague : asset price inflation and Federal Reserve quantitative easing. It features 7 columns including author, publication date, language, and book publisher.
More details about each file are in the individual file descriptions.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
This dataset is maintained using FRED's API and Kaggle's API.
Cover photo by Clay Banks on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books. It has 1 row and is filtered where the book is The global curse of the federal reserve : manifesto for a second monetarist revolution. It features 7 columns including author, publication date, language, and book publisher.
More details about each file are in the individual file descriptions.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
This dataset is maintained using FRED's API and Kaggle's API.
Cover photo by Pepi Stojanovski on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 3 rows and is filtered where the books is Competition and monopoly in the Federal Reserve System, 1914-1951 : a micreconomics approach to monetary history. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
The FRB/US model is a large-scale estimated general equilibrium model of the U.S. economy that has been in use at the Federal Reserve Board since 1996. The model is designed for detailed analysis of monetary and fiscal policies. One distinctive feature compared to dynamic stochastic general equilibrium (DSGE) models is the ability to switch between alternative assumptions about expectations formation of economic agents. Another is the models level of detail: FRB/US contains all major components of the product and income sides of the U.S. national accounts. Since its original development, the model has continuously undergone changes to cope with the evolving structure of the economy, including conceptual revisions to sectoral definitions of the national accounts.
This dataset is comprised of forty-five entities that are part of the United States Federal Reserve System according to the United States Department of Treasury. The Federal Reserve System is comprised of twelve Federal Reserve Banks and twenty-five Federal Reserve Branches. This data set contains all of the banks and branches as well as some check processing centers and offices that are affiliated with the US Federal Reserve System. This dataset does not contain the Federal Reserve Headquarters in Washington DC because it is an 'Administration Only' location. There is an entity within this dataset that is also included in the HSIP Gold Bullion Repositories 2006 Q3 dataset as the entity is considered to be a bullion repository as well as a Federal Reserve. The currentness of this dataset is indicated by the more recent date of the [CONTDATE] attribute and/or the [GEODATE] attribute. Based upon these attributes the oldest record dates from 07/19/2006 and the newest record dates from 08/04/2006. The most current [CONTDATE] is the most current contact date as provided by TGS. Due to the sensitive nature of these entities, TGS did not make contact with the entities within this dataset during this processing.