100+ datasets found
  1. United States US: GDP: Growth: Gross Value Added: Services

    • ceicdata.com
    Updated Dec 15, 2010
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    CEICdata.com (2010). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
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    Dataset updated
    Dec 15, 2010
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

  2. U.S. value added to GDP 2024, by industry

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
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    Statista (2025). U.S. value added to GDP 2024, by industry [Dataset]. https://www.statista.com/statistics/247991/value-added-to-the-us-gdp-by-industry/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, the finance, real estate, insurance, rental, and leasing industry added the most value to the GDP of the United States. In that year, this industry added 6.2 trillion U.S. dollars to the national GDP. Gross Domestic Product Gross domestic product is a measure of how much a country produces in a certain amount of time. Countries with a high GDP tend to have large economies, for example, the United States. However, GDP does not take into consideration the cost of living and inflation rates, so it is not a good measure of the standard of living. GDP per capita at purchasing power parity is thought to be more reflective of living conditions within a particular country. U.S. GDP California added the largest amount of value to the real GDP of the U.S. in 2022. California was followed by Texas and New York. In California, the professional and business services industry was the most valuable to GDP in 2022. In New York, the finance, insurance, real estate, rental, and leasing industry added the most value to the state GDP. While the business sector added the highest value to the U.S. real GDP in 2021, it was the information industry that had the biggest percentage change in value added to the GDP between 2010 and 2021.

  3. m

    Data from: Research Document: Jaouad Karfali Economic Cycle Analysis with...

    • data.mendeley.com
    Updated Feb 26, 2025
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    Karfali Jaouad (2025). Research Document: Jaouad Karfali Economic Cycle Analysis with Numerical Time Cycles [Dataset]. http://doi.org/10.17632/wv7dcm5834.1
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    Dataset updated
    Feb 26, 2025
    Authors
    Karfali Jaouad
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    Description: This dataset contains historical economic data spanning from 1871 to 2024, used in Jaouad Karfali’s research on Economic Cycle Analysis with Numerical Time Cycles. The study aims to improve economic forecasting accuracy through the 9-year cycle model, which demonstrates superior predictive capabilities compared to traditional economic indicators.

    Dataset Contents: The dataset includes a comprehensive range of economic indicators used in the research, such as:

    USGDP_1871-2024.csv – U.S. Gross Domestic Product (GDP) data. USCPI_cleaned.csv – U.S. Consumer Price Index (CPI), cleaned and processed. USWAGE_1871-2024.csv – U.S. average wages data. EXCHANGEGLOBAL_cleaned.csv – Global exchange rates for the U.S. dollar. EXCHANGEPOUND_cleaned.csv – U.S. dollar to British pound exchange rates. INTERESTRATE_1871-2024.csv – U.S. interest rate data. UNRATE.csv – U.S. unemployment rate statistics. POPTOTUSA647NWDB.csv – U.S. total population data. Significance of the Data: This dataset serves as a foundation for a robust economic analysis of the U.S. economy over multiple decades. It was instrumental in testing the 9-year economic cycle model, which demonstrated an 85% accuracy rate in economic forecasting when compared to traditional models such as ARIMA and VAR.

    Applications:

    Economic Forecasting: Predicts a 1.5% decline in GDP in 2025, followed by a gradual recovery between 2026-2034. Economic Stability Analysis: Used for comparing forecasts with estimates from institutions like the IMF and World Bank. Academic and Institutional Research: Supports studies in economic cycles and long-term forecasting. Source & Further Information: For more details on the methodology and research findings, refer to the full paper published on SSRN:

    https://ssrn.com/author=7429208 https://orcid.org/0009-0002-9626-7289

    • Jaouad Karfali
  4. United States US: GDP: USD: Gross National Income

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com, United States US: GDP: USD: Gross National Income [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-nominal/us-gdp-usd-gross-national-income
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: USD: Gross National Income data was reported at 19,607.598 USD bn in 2017. This records an increase from the previous number of 18,968.714 USD bn for 2016. United States US: GDP: USD: Gross National Income data is updated yearly, averaging 5,447.032 USD bn from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 19,607.598 USD bn in 2017 and a record low of 546.400 USD bn in 1960. United States US: GDP: USD: Gross National Income data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Nominal. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars.; ; World Bank national accounts data, and OECD National Accounts data files.; Gap-filled total;

  5. F

    Shares of gross domestic product: Exports of goods

    • fred.stlouisfed.org
    json
    Updated May 29, 2025
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    (2025). Shares of gross domestic product: Exports of goods [Dataset]. https://fred.stlouisfed.org/series/A253RE1Q156NBEA
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    jsonAvailable download formats
    Dataset updated
    May 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Shares of gross domestic product: Exports of goods (A253RE1Q156NBEA) from Q1 1947 to Q1 2025 about Shares of GDP, exports, goods, GDP, and USA.

  6. o

    Replication data for: How to Restore Equitable and Sustainable Economic...

    • openicpsr.org
    Updated May 1, 2016
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    Joseph E. Stiglitz (2016). Replication data for: How to Restore Equitable and Sustainable Economic Growth in the United States [Dataset]. http://doi.org/10.3886/E113431V1
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    Dataset updated
    May 1, 2016
    Dataset provided by
    American Economic Association
    Authors
    Joseph E. Stiglitz
    Area covered
    United States
    Description

    Today's weakness in the US economy results from lack of aggregate demand, due to high and growing inequality, underinvestment in public infrastructure and technology that is complementary to private capital, continuing mild austerity, difficulties encountered in making the structural transformation from manufacturing to a service-based economy, and a financial sector failing to provide adequate funds to SMEs. An agenda to restore growth includes a carbon price, inducing climate investments; increased public investments in infrastructure and technology; fighting inequality through redistribution and rewriting the rules structuring the economy; and reforming the financial sector and the global reserve system.

  7. o

    Replication data for: The Rise of the Service Economy

    • openicpsr.org
    Updated May 1, 2012
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    Francisco J. Buera; Joseph P. Kaboski (2012). Replication data for: The Rise of the Service Economy [Dataset]. http://doi.org/10.3886/E112555V1
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    Dataset updated
    May 1, 2012
    Dataset provided by
    American Economic Association
    Authors
    Francisco J. Buera; Joseph P. Kaboski
    Description

    This paper analyzes the role of specialized high-skilled labor in the disproportionate growth of the service sector. Empirically, the importance of skill-intensive services has risen during a period of increasing relative wages and quantities of high-skilled labor. We develop a theory in which demand shifts toward more skill- intensive output as productivity rises, increasing the importance of market services relative to home production. Consistent with the data, the theory predicts a rising level of skill, skill premium, and relative price of services that is linked to this skill premium. (JEL J24, L80, L90)

  8. U.S. annual GDP growth in Missouri 2000-2023

    • statista.com
    Updated Oct 14, 2024
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    Statista (2024). U.S. annual GDP growth in Missouri 2000-2023 [Dataset]. https://www.statista.com/statistics/596982/missouri-gdp-growth/
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    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the real gross domestic product (GDP) of Missouri increased by roughly 2.6 percent from the preceding year. 2021 saw significant GDP growth in the state as the economy rebounded from the COVID-19 pandemic. The GDP of the United States grew by 2.9 percent in 2023.

  9. United States The Economist YouGov Polls: 2024 Presidential Election: Donald...

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump [Dataset]. https://www.ceicdata.com/en/united-states/the-economist-yougov-polls-2024-presidential-election/the-economist-yougov-polls-2024-presidential-election-donald-trump
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 13, 2024 - Oct 29, 2024
    Area covered
    United States
    Description

    United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data was reported at 46.000 % in 29 Oct 2024. This stayed constant from the previous number of 46.000 % for 22 Oct 2024. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data is updated weekly, averaging 43.000 % from May 2023 (Median) to 29 Oct 2024, with 61 observations. The data reached an all-time high of 46.000 % in 29 Oct 2024 and a record low of 38.000 % in 31 Oct 2023. United States The Economist YouGov Polls: 2024 Presidential Election: Donald Trump data remains active status in CEIC and is reported by YouGov PLC. The data is categorized under Global Database’s United States – Table US.PR004: The Economist YouGov Polls: 2024 Presidential Election (Discontinued). If an election for president were going to be held now and the Democratic nominee was Joe Biden and the Republican nominee was Donald Trump, would you vote for...

  10. F

    Gross Domestic Product: All Industries in Orange County, CA

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
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    (2024). Gross Domestic Product: All Industries in Orange County, CA [Dataset]. https://fred.stlouisfed.org/series/GDPALL06059
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    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Orange County, California
    Description

    Graph and download economic data for Gross Domestic Product: All Industries in Orange County, CA (GDPALL06059) from 2001 to 2023 about Orange County, CA; Los Angeles; CA; industry; GDP; and USA.

  11. United States Foreign LT Sec: UH: CS: Latin America: Chile

    • ceicdata.com
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    CEICdata.com, United States Foreign LT Sec: UH: CS: Latin America: Chile [Dataset]. https://www.ceicdata.com/en/united-states/foreign-long-term-securities-by-us-holders-by-country/foreign-lt-sec-uh-cs-latin-america-chile
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Description

    United States Foreign LT Sec: UH: CS: Latin America: Chile data was reported at 15.642 USD bn in Apr 2018. This records an increase from the previous number of 15.576 USD bn for Mar 2018. United States Foreign LT Sec: UH: CS: Latin America: Chile data is updated monthly, averaging 12.529 USD bn from Dec 2011 (Median) to Apr 2018, with 77 observations. The data reached an all-time high of 16.854 USD bn in Jan 2018 and a record low of 8.736 USD bn in Jan 2016. United States Foreign LT Sec: UH: CS: Latin America: Chile data remains active status in CEIC and is reported by US Department of Treasury. The data is categorized under Global Database’s USA – Table US.Z046: Foreign Long Term Securities by US Holders: By Country.

  12. Distribution of land in U.S. farms 2024, by economic sales class

    • statista.com
    Updated Apr 28, 2025
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    Statista (2025). Distribution of land in U.S. farms 2024, by economic sales class [Dataset]. https://www.statista.com/statistics/196110/us-distribution-of-land-in-farms-by-economic-sales-class/
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    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    This statistic shows the distribution of land in U.S. farms in 2023, by economic sales class. In 2024, 11.4 percent of U.S. farmland belonged to farms categorized in the 100,000 to 249,999 U.S. dollars sales class.

  13. F

    Advance U.S. International Trade in Goods: Imports: Industrial Supplies

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
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    (2025). Advance U.S. International Trade in Goods: Imports: Industrial Supplies [Dataset]. https://fred.stlouisfed.org/series/AITGIIS
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Advance U.S. International Trade in Goods: Imports: Industrial Supplies (AITGIIS) from May 2025 to May 2025 about supplies, imports, trade, goods, industry, and USA.

  14. o

    Replication data for: Replication in Labor Economics: Evidence from Data,...

    • openicpsr.org
    Updated May 1, 2017
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    Daniel S. Hamermesh (2017). Replication data for: Replication in Labor Economics: Evidence from Data, and What It Suggests [Dataset]. http://doi.org/10.3886/E113534V1
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    Dataset updated
    May 1, 2017
    Dataset provided by
    American Economic Association
    Authors
    Daniel S. Hamermesh
    Description

    Examining the most heavily cited publications in labor economics from the early 1990s, I show that few of over 3,000 articles, citing them directly, replicates them. They are replicated more frequently using data from other time periods and economies, so that the validity of their central ideas has typically been verified. This pattern of scholarship suggests, beyond the currently required depositing of data and code upon publication, that there is little need for formal mechanisms for replication. The market for scholarship already produces replications of non-laboratory applied research.

  15. m

    Data for: Aggregate Fluctuations and the Industry Structure of the US...

    • data.mendeley.com
    Updated Apr 26, 2021
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    julieta caunedo (2021). Data for: Aggregate Fluctuations and the Industry Structure of the US Economy [Dataset]. http://doi.org/10.17632/v6m5fz9drt.1
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    Dataset updated
    Apr 26, 2021
    Authors
    julieta caunedo
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Please ReadME file included

  16. U.S. annual GDP 1990-2024

    • ai-chatbox.pro
    • statista.com
    Updated May 13, 2025
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    Abigail Tierney (2025). U.S. annual GDP 1990-2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F8913%2Fprimary-sector-of-the-us%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Area covered
    United States
    Description

    In 2024, the U.S. GDP increased from the previous year to about 29.18 trillion U.S. dollars. Gross domestic product (GDP) refers to the market value of all goods and services produced within a country. In 2024, the United States has the largest economy in the world. What is GDP? Gross domestic product is one of the most important indicators used to analyze the health of an economy. GDP is defined by the BEA as the market value of goods and services produced by labor and property in the United States, regardless of nationality. It is the primary measure of U.S. production. The OECD defines GDP as an aggregate measure of production equal to the sum of the gross values added of all resident, institutional units engaged in production (plus any taxes, and minus any subsidies, on products not included in the value of their outputs). GDP and national debt Although the United States had the highest Gross Domestic Product (GDP) in the world in 2022, this does not tell us much about the quality of life in any given country. GDP per capita at purchasing power parity (PPP) is an economic measurement that is thought to be a better method for comparing living standards across countries because it accounts for domestic inflation and variations in the cost of living. While the United States might have the largest economy, the country that ranked highest in terms of GDP at PPP was Luxembourg, amounting to around 141,333 international dollars per capita. Singapore, Ireland, and Qatar also ranked highly on the GDP PPP list, and the United States ranked 9th in 2022.

  17. F

    Gross Domestic Product: Real Estate (531) in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 27, 2024
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    (2024). Gross Domestic Product: Real Estate (531) in the United States [Dataset]. https://fred.stlouisfed.org/series/USREALNGSP
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    jsonAvailable download formats
    Dataset updated
    Sep 27, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Gross Domestic Product: Real Estate (531) in the United States (USREALNGSP) from 1997 to 2023 about leases, finance, insurance, rent, real estate, GSP, private industries, private, industry, GDP, and USA.

  18. United States US: Trade Balance: Emerging and Developing Economies: Western...

    • ceicdata.com
    + more versions
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    CEICdata.com, United States US: Trade Balance: Emerging and Developing Economies: Western Hemisphere: Montserrat [Dataset]. https://www.ceicdata.com/en/united-states/trade-balance-by-country-annual/us-trade-balance-emerging-and-developing-economies-western-hemisphere-montserrat
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2016 - Dec 1, 2017
    Area covered
    United States
    Description

    United States US: Trade Balance: Emerging and Developing Economies: Western Hemisphere: Montserrat data was reported at 7.236 USD mn in 2017. This records an increase from the previous number of 1.944 USD mn for 2016. United States US: Trade Balance: Emerging and Developing Economies: Western Hemisphere: Montserrat data is updated yearly, averaging 4.590 USD mn from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 7.236 USD mn in 2017 and a record low of 1.944 USD mn in 2016. United States US: Trade Balance: Emerging and Developing Economies: Western Hemisphere: Montserrat data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s USA – Table US.IMF.DOT: Trade Balance: by Country: Annual.

  19. F

    U.S. Exports of Goods by F.A.S. Basis to South Sudan

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). U.S. Exports of Goods by F.A.S. Basis to South Sudan [Dataset]. https://fred.stlouisfed.org/series/EXP7323
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    South Sudan, United States
    Description

    Graph and download economic data for U.S. Exports of Goods by F.A.S. Basis to South Sudan (EXP7323) from Jan 2011 to May 2025 about South Sudan, exports, goods, and USA.

  20. F

    Personal consumption expenditures: Net foreign travel (Foreign travel by...

    • fred.stlouisfed.org
    json
    Updated Mar 27, 2025
    + more versions
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    (2025). Personal consumption expenditures: Net foreign travel (Foreign travel by U.S. residents less expenditures in the U. S. by nonresidents) [Dataset]. https://fred.stlouisfed.org/series/DFORRC1A027NBEA
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    jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Personal consumption expenditures: Net foreign travel (Foreign travel by U.S. residents less expenditures in the U. S. by nonresidents) (DFORRC1A027NBEA) from 1929 to 2024 about travel, foreign, PCE, consumption expenditures, Net, consumption, personal, GDP, and USA.

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CEICdata.com (2010). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
Organization logo

United States US: GDP: Growth: Gross Value Added: Services

Explore at:
Dataset updated
Dec 15, 2010
Dataset provided by
CEIC Data
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 1, 2004 - Dec 1, 2015
Area covered
United States
Variables measured
Gross Domestic Product
Description

United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

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