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 Nathan Dumlao on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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
This dataset sheds light on the evolution of published contributions of women economists over a 110-year period. The dataset is collected from the Papers and Proceedings (P&P), an annual volume of the proceedings of the American Economic Association (AEA) annual meetings, which has been published since 1911. It catalogs the 110 years of publications in the annual proceedings volume and provides insight into women's position in the economics profession, as well as differences between men and women with respect to coauthoring patterns, institutional affiliations, and research fields.
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.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains text from Federal Reserve FOMC (Federal Open Market Committee) meeting minutes and statements. It was collected by scraping the Federal Reserve's official website. The dataset provides insights into the central bank's monetary policy decisions and discussions, spanning a specific period of time.
The dataset is typically provided in CSV file format. While specific total row or record counts are not detailed, the data contains a substantial volume of text from numerous documents across various dates.
This dataset is ideal for various analytical and research purposes, including: * Analysing the sentiment and tone of FOMC meeting minutes and statements over time. * Identifying key phrases and words that signify shifts in monetary policy. * Developing natural language processing (NLP) models to forecast future policy decisions based on historical data. * Investigating the relationship between FOMC meeting minutes/statements and financial market reactions.
The dataset primarily covers the activities and discussions of the Federal Reserve's Federal Open Market Committee, making its scope relevant to US economic and financial policy. The data spans a specific, extended period of time, though precise start and end dates are not explicitly detailed in the general description. The listing indicates a global region for the dataset's availability.
CCO
This dataset is particularly valuable for: * Economists and financial analysts studying central bank policy and its impact. * Data scientists and NLP practitioners looking to build models based on financial text data. * Academic researchers investigating monetary policy, economic trends, and financial markets. * Journalists reporting on central banking and economic policy.
Original Data Source: Federal Reserve FOMC Minutes & Statements Dataset
The Agricultural Finance Databook is a compilation of various data on current developments in agricultural finance. Large portions of the data come from regular surveys conducted by the Board of Governors of the Federal Reserve System or by Federal Reserve Banks. Other portions come from the quarterly Call Report data of commercial banks or from the reports of other financial institutions involved in agricultural lending. This data is no longer published by the Federal Reserve Board. On October 1, 2010, the E.15 statistical release transitioned from the Board of Governors to the Federal Reserve Bank of Kansas City. You can now find the most current Agricultural Finance Databook at https://www.kansascityfed.org/research/indicatorsdata/agfinancedatabook.
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.
The application currently consists of the following forms: • Application for Employment (FR 28), which collects information to determine the qualifications of applicants for employment with the Board (such as education and training, employment record, and other information since the time the applicant left high school), • Applicant’s Voluntary Self-Identification (FR 28s), which is an optional form that collects information on the applicant’s gender, race, and ethnicity, and • Research Assistant Candidate Survey of Interests and Computer Experience (FR 28i) if the applicant is applying for a position as a Research Assistant (RA), which collects information on the RA applicant’s level of interest in various economic topics and experience in different data analytics/programs.
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 decreased to 6659273 USD Million in July 16 from 6661912 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Federal Reserve Banks (FRB): Reserve Bank Credit (BC) data was reported at 4,134.059 USD bn in 24 Oct 2018. This records a decrease from the previous number of 4,136.254 USD bn for 17 Oct 2018. United States Federal Reserve Banks (FRB): Reserve Bank Credit (BC) data is updated weekly, averaging 2,300.867 USD bn from Dec 2002 (Median) to 24 Oct 2018, with 828 observations. The data reached an all-time high of 4,476.465 USD bn in 14 Jan 2015 and a record low of 673.923 USD bn in 29 Jan 2003. United States Federal Reserve Banks (FRB): Reserve Bank Credit (BC) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KB029: Factors Affecting Reserve Balances of Depository Institutions.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Federal Reserve Banks (FRB): Total Assets data was reported at 4,139.731 USD bn in 31 Oct 2018. This records a decrease from the previous number of 4,173.070 USD bn for 24 Oct 2018. United States Federal Reserve Banks (FRB): Total Assets data is updated weekly, averaging 876.108 USD bn from Jun 1996 (Median) to 31 Oct 2018, with 1167 observations. The data reached an all-time high of 4,516.077 USD bn in 14 Jan 2015 and a record low of 447.351 USD bn in 24 Jul 1996. United States Federal Reserve Banks (FRB): Total Assets data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KB028: Balance Sheet: Federal Reserve Banks.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Liabilities: Flow: MA: saar: Misc: Federal Reserve Bank Stock data was reported at 1.112 USD bn in Mar 2018. This records an increase from the previous number of 0.804 USD bn for Dec 2017. United States Liabilities: Flow: MA: saar: Misc: Federal Reserve Bank Stock data is updated quarterly, averaging 0.078 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 6.752 USD bn in Jun 2009 and a record low of -1.924 USD bn in Sep 2011. United States Liabilities: Flow: MA: saar: Misc: Federal Reserve Bank Stock data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB011: Funds by Sector: Flows and Outstanding: Monetary Authority.
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View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.
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
Financial Stress Index (STLFSI2) data was reported at -0.851 % in 07 Jan 2022. This records an increase from the previous number of -0.920 % for 31 Dec 2021. Financial Stress Index (STLFSI2) data is updated weekly, averaging -0.213 % from Dec 1993 (Median) to 07 Jan 2022, with 1463 observations. The data reached an all-time high of 9.193 % in 10 Oct 2008 and a record low of -1.131 % in 22 Oct 2021. Financial Stress Index (STLFSI2) data remains active status in CEIC and is reported by Federal Reserve Bank of St. Louis. The data is categorized under Global Database’s United States – Table US.S018: Financial Stress Index.
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Graph and download economic data for Personal Saving Rate (PSAVERT) from Jan 1959 to May 2025 about savings, personal, rate, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Federal Reserve Act of 1913 created the Reserve Bank Organizing Committee which divided the counties of the United States into twelve Federal Reserve Districts each with its own Federal Reserve Bank. The size and vitality of these districts varied. Some were densely populated with substantial urban areas and large industries. Others were sparsely populated and largely rural with the preponderance of the population working in agriculture. Some grew rapidly. Others grew slowly. To help understand the Fed’s role in the evolution of the U.S. economy, we construct a dataset with estimated annual population in each Fed district from 1890 to 1950.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States FRB: Assets: Items in Process of Collection data was reported at 202.000 USD mn in 25 Jul 2018. This records a decrease from the previous number of 207.000 USD mn for 18 Jul 2018. United States FRB: Assets: Items in Process of Collection data is updated weekly, averaging 3.135 USD bn from Jun 1996 (Median) to 25 Jul 2018, with 1153 observations. The data reached an all-time high of 30.928 USD bn in 12 Sep 2001 and a record low of -587.000 USD mn in 04 Apr 2012. United States FRB: Assets: Items in Process of Collection data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KB001: Balance Sheet: Federal Reserve Banks.
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View data of PCE, an index that measures monthly changes in the price of consumer goods and services as a means of analyzing inflation.
An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.
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 Nathan Dumlao on Unsplash
Unsplash Images are distributed under a unique Unsplash License.