Federal Reserve Economic Data: Your trusted data source since 1991

  • Current U.S. Dollars, Annual, Not Seasonally Adjusted 1960 to 2022 (Dec 19)

    GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used. Source Code: NY.GDP.MKTP.CD

  • Millions of Euros, Quarterly, Seasonally Adjusted Q1 1995 to Q3 2023 (Jan 30)

    Eurostat unit ID: CP_MNAC Eurostat item ID: B1GQ Eurostat country ID: LU Copyright, European Union, http://ec.europa.eu, 1995-2016. Complete terms of use are available at https://ec.europa.eu/geninfo/legal_notices_en.htm (https://ec.europa.eu/geninfo/legal_notices_en.htm).

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Percent Change, Annual, Not Seasonally Adjusted 2000 to 2024 (Oct 12)

    Observations for the current and future years are projections. The IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis. For more information, please see the Regional Economic Outlook (https://www.imf.org/en/publications/reo) publications. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http://www.imf.org/external/terms.htm).

  • 2005 International Dollars per Worker, Annual, Not Seasonally Adjusted 1961 to 2010 (2012-09-17)

    Worker for this variable is usually a census definition based of economically active population. For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1 Source Indicator: rgdpwok

  • Percent, Annual, Not Seasonally Adjusted 1975 to 2015 (2017-08-30)

    Total value of all listed shares in a stock market as a percentage of GDP. Value of listed shares to GDP, calculated using the following deflation method: {(0.5)*[Ft/P_et + Ft-1/P_et-1]}/[GDPt/P_at] where F is stock market capitalization, P_e is end-of period CPI, and P_a is average annual CPI. End-of period CPI (IFS line 64M..ZF or, if not available, 64Q..ZF) and annual CPI (IFS line 64..ZF) are from the IMF's International Financial Statistics. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data) Source Code: GFDD.DM.01

  • Millions of 2017 U.S. Dollars, Annual, Not Seasonally Adjusted 1950 to 2019 (2021-11-08)

    Source ID: rgdpna When using these data in your research, please make the following reference: Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwt For more information, see http://www.rug.nl/research/ggdc/data/pwt/.

  • Millions of Dollars, Quarterly, Seasonally Adjusted Annual Rate Q1 2018 to Q3 2023 (Dec 27)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Percent Change, Annual, Not Seasonally Adjusted 2003 to 2024 (Jan 19)

    Observations for the current and future years are projections. The IMF provides these series as part of their Regional Economic Outlook (REO) reports. These reports discuss recent economic developments and prospects for countries in various regions. They also address economic policy developments that have affected economic performance in their regions and provide country-specific data and analysis. For more information, please see the Regional Economic Outlook (https://www.imf.org/en/publications/reo) publications. Copyright © 2016, International Monetary Fund. Reprinted with permission. Complete terms of use and contact details are available here (http://www.imf.org/external/terms.htm).

  • Yen, Quarterly, Seasonally Adjusted Q1 1994 to Q3 2023 (Jan 12)

    OECD Descriptor ID: NAEXKP02 OECD unit ID: JPY OECD country ID: JPN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

  • Index 2017=100, Quarterly, Seasonally Adjusted Q1 1947 to Q4 2023 (11 hours ago)

    BEA Account Code: DPCERA For more information about this series, please see http://www.bea.gov/national/.

  • Billions of Dollars, Annual, Not Seasonally Adjusted 1946 to 2022 (Oct 26)

    BEA Account Code: W292RC For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points, Quarterly, Seasonally Adjusted Q2 2014 to Q1 2024 (2 days ago)

    The Contributions to percent change in GDPNow: Real Gross Private Domestic Investment: Fixed Investment: Business: Structures represents the contribution in percentage points that the nowcast for Gross Private Domestic Investment: Fixed Investment: Business: Structures provides to real GDP growth. For further information visit the source at https://www.frbatlanta.org/cqer/research/gdpnow.aspx?panel=1.

  • Dollars, Quarterly, Seasonally Adjusted Q1 1947 to Q4 2023 (11 hours ago)

    BEA Account Code: A455RD For more information about this series, please see http://www.bea.gov/national/.

  • Millions of 1938 British Pounds, Monthly, Seasonally Adjusted Jan 1920 to Dec 1938 (2016-07-07)

    This series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Users are permitted to reproduce this series in their own work as it represents Bank calculations and manipulations of underlying series that are the copyright of the Bank of England provided that underlying sources are cited appropriately. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources.

  • Yen, Quarterly, Seasonally Adjusted Q1 1994 to Q3 2023 (Jan 12)

    OECD Descriptor ID: NAEXKP06 OECD unit ID: JPY OECD country ID: JPN All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

  • Thousands of Chained 2017 U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Percent, Annual, Not Seasonally Adjusted 1980 to 2019 (2022-03-23)

    Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) / GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics) Source Code: GFDD.EI.08

  • 2011 U.S. Dollars, Annual, Not Seasonally Adjusted 1960 to 2011 (2012-12-10)

    Converted to U.S. dollars using 2011 purchasing power parities. For more information, see https://www.bls.gov/fls/intl_gdp_capita_gdp_hour.htm#technicalnotes. Bureau of Labor Statistics (BLS) has eliminated the International Labor Comparisons (ILC) program. This is the last BLS release of international comparisons of GDP per capita and per hour.

  • Percent, Annual, Not Seasonally Adjusted 1980 to 2019 (2022-03-23)

    Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) / GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics) Source Code: GFDD.EI.08

  • 2005 International Dollars per Person, Annual, Not Seasonally Adjusted 1955 to 2010 (2012-09-17)

    For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1 Source Indicator: rgdpch

  • Thousands of Chained 2017 U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of Chained 2017 U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of Chained 2017 U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of Chained 2017 U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Millions of Chained 2017 Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    The All industry total includes all Private industries and Government. Real GDP by metropolitan area is an inflation-adjusted measure of each metropolitan area's gross product that is based on national prices for the goods and services produced within the metropolitan area. For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm.

  • Thousands of Chained 2017 U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Thousands of Chained 2017 U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Millions of Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    The All industry total includes all Private industries and Government. Gross domestic product (GDP) by metropolitan area is the measure of the market value of all final goods and services produced within a metropolitan area in a particular period of time. In concept, an industry's GDP by metropolitan area, referred to as its "value added", is equivalent to its gross output (sales or receipts and other operating income, commodity taxes, and inventory change) minus its intermediate inputs (consumption of goods and services purchased from other U.S. industries or imported). GDP by metropolitan area is the metropolitan area counterpart of the nation's, BEA's featured measure of U.S. production. For more information about this release go to http://www.bea.gov/newsreleases/regional/gdp_metro/gdp_metro_newsrelease.htm.

  • Thousands of U.S. Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Dec 18)

    GDP by county is a measure of the market value of final goods and services produced within a county area in a particular period. While other measures of county economies rely mainly on labor market data, these statistics incorporate multiple data sources that capture trends in labor, revenue, and value of production. As a result, the capital-intensive industries are captured more fully than when measured solely by labor data.

  • Percent, Annual, Not Seasonally Adjusted 1993 to 2019 (2022-03-23)

    Ratio between credit by domestic money banks to the government and state-owned enterprises and GDP. Raw data are from the electronic version of the IMF's International Financial Statistics. IFS line 22A + line 22B + line 22C) / GDP. Local currency GDP is from IFS (line 99B..ZF or, if not available, line 99B.CZF). Missing observations are imputed by using GDP growth rates from World Development Indicators, instead of substituting the levels. This approach ensures a smoother GDP series. (International Monetary Fund, International Financial Statistics) Source Code: GFDD.EI.08

  • Domestic Currency, Quarterly, Seasonally Adjusted Q1 1995 to Q4 2023 (Mar 11)

  • Percent, Annual, Not Seasonally Adjusted 1929 to 2022 (Oct 26)

    BEA Account Code: W272RE For more information about this series, please see http://www.bea.gov/national/.

  • Billions of Dollars, Annual, Not Seasonally Adjusted 1929 to 2023 (11 hours ago)

    BEA Account Code: DVMRRC For more information about this series, please see http://www.bea.gov/national/.

  • Chained 2017 Dollars, Quarterly, Seasonally Adjusted Annual Rate Q1 1947 to Q4 2023 (11 hours ago)

    BEA Account Code: A797RX For more information about this series, please see http://www.bea.gov/national/.

  • Euro, Quarterly, Seasonally Adjusted Q1 1995 to Q1 2023 (Aug 2)

    OECD descriptor ID: NAEXKP01 OECD unit ID: STSA OECD country ID: EA17 All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.

  • Index, Monthly, Seasonally Adjusted Feb 1960 to Aug 2022 (2022-12-28)

    OECD descriptor ID: LORSGPNO OECD unit ID: STSA OECD country ID: IRL All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission.

  • Index, Monthly, Seasonally Adjusted Feb 1960 to Aug 2022 (2022-12-28)

    OECD descriptor ID: LORSGPNO OECD unit ID: STSA OECD country ID: BEL All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission.

  • Index, Monthly, Seasonally Adjusted Feb 1960 to Aug 2022 (2022-12-28)

    OECD descriptor ID: LORSGPNO OECD unit ID: STSA OECD country ID: NOR All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission.

  • Index, Monthly, Seasonally Adjusted Feb 1960 to Aug 2022 (2022-12-28)

    OECD descriptor ID: LORSGPTD OECD unit ID: STSA OECD country ID: DNK All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission.

  • Index, Monthly, Seasonally Adjusted Feb 1960 to Aug 2023 (Jan 12)

    OECD Descriptor ID: LORSGPNO OECD unit ID: IDX OECD country ID: ESP All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

  • Index, Monthly, Seasonally Adjusted Feb 1995 to Nov 2021 (2022-04-14)

    OECD descriptor ID: LORSGPNO OECD unit ID: STSA OECD country ID: CHL All OECD data should be cited as follows: OECD,"Main Economic Indicators - complete database"Main Economic Indicators(database)http://dx.doi.org/10.1787/data-00052-en(Accessed on date)Copyright, 2016, OECD. Reprinted with permission.

  • New Israeli Sheqel, Quarterly, Seasonally Adjusted Q1 1995 to Q3 2023 (Dec 12)

    OECD Descriptor ID: NAEXKP01 OECD unit ID: ILS OECD country ID: ISR All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

  • Percent Change from Preceding Period, Quarterly, Seasonally Adjusted Annual Rate Q2 1947 to Q4 2023 (Feb 28)

    BEA Account Code: DPCERV For more information about this series, please see http://www.bea.gov/national/.

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2010 (2013-04-03)

    For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1 Source Indicator: cgnp

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2010 (2013-04-03)

    For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1 Source Indicator: cgnp

  • Percent, Annual, Not Seasonally Adjusted 1960 to 2010 (2013-04-03)

    For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1 Source Indicator: cgnp


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