100+ datasets found
  1. U

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

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). 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
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    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. k

    International Macroeconomic Dataset (2015 Base)

    • datasource.kapsarc.org
    Updated Oct 26, 2025
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    (2025). International Macroeconomic Dataset (2015 Base) [Dataset]. https://datasource.kapsarc.org/explore/dataset/international-macroeconomic-data-set-2015/
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    Dataset updated
    Oct 26, 2025
    Description

    TThe ERS International Macroeconomic Data Set provides historical and projected data for 181 countries that account for more than 99 percent of the world economy. These data and projections are assembled explicitly to serve as underlying assumptions for the annual USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term, 10-year scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.

    Explore the International Macroeconomic Data Set 2015 for annual growth rates, consumer price indices, real GDP per capita, exchange rates, and more. Get detailed projections and forecasts for countries worldwide.

    Annual growth rates, Consumer price indices (CPI), Real GDP per capita, Real exchange rates, Population, GDP deflator, Real gross domestic product (GDP), Real GDP shares, GDP, projections, Forecast, Real Estate, Per capita, Deflator, share, Exchange Rates, CPI

    Afghanistan, Albania, Algeria, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burundi, Côte d'Ivoire, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Congo, Costa Rica, Croatia, Cuba, Cyprus, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Mauritania, Mauritius, Mexico, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Samoa, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, South Africa, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Tajikistan, Tanzania, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, Yemen, Zambia, Zimbabwe, WORLD Follow data.kapsarc.org for timely data to advance energy economics research. Notes:

    Developed countries/1 Australia, New Zealand, Japan, Other Western Europe, European Union 27, North America

    Developed countries less USA/2 Australia, New Zealand, Japan, Other Western Europe, European Union 27, Canada

    Developing countries/3 Africa, Middle East, Other Oceania, Asia less Japan, Latin America;

    Low-income developing countries/4 Haiti, Afghanistan, Nepal, Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, Eritrea, Ethiopia, Gambia, Guinea, Guinea-Bissau, Liberia, Madagascar, Malawi, Mali, Mozambique, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tanzania, Togo, Uganda, Zimbabwe;

    Emerging markets/5 Mexico, Brazil, Chile, Czech Republic, Hungary, Poland, Slovakia, Russia, China, India, Korea, Taiwan, Indonesia, Malaysia, Philippines, Thailand, Vietnam, Singapore

    BRIICs/5 Brazil, Russia, India, Indonesia, China; Former Centrally Planned Economies

    Former centrally planned economies/7 Cyprus, Malta, Recently acceded countries, Other Central Europe, Former Soviet Union

    USMCA/8 Canada, Mexico, United States

    Europe and Central Asia/9 Europe, Former Soviet Union

    Middle East and North Africa/10 Middle East and North Africa

    Other Southeast Asia outlook/11 Malaysia, Philippines, Thailand, Vietnam

    Other South America outlook/12 Chile, Colombia, Peru, Bolivia, Paraguay, Uruguay

    Indicator Source

    Real gross domestic product (GDP) World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service all converted to a 2015 base year.

    Real GDP per capita U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table and Population table.

    GDP deflator World Bank World Development Indicators, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

    Real GDP shares U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, GDP table.

    Real exchange rates U.S. Department of Agriculture, Economic Research Service, Macroeconomic Data Set, CPI table, and Nominal XR and Trade Weights tables developed by the Economic Research Service.

    Consumer price indices (CPI) International Financial Statistics International Monetary Fund, IHS Global Insight, Oxford Economics Forecasting, as well as estimated and projected values developed by the Economic Research Service, all converted to a 2015 base year.

    Population Department of Commerce, Bureau of the Census, U.S. Department of Agriculture, Economic Research Service, International Data Base.

  3. F

    Exports of Services: Financial services

    • fred.stlouisfed.org
    json
    Updated Sep 23, 2025
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    (2025). Exports of Services: Financial services [Dataset]. https://fred.stlouisfed.org/series/IEAXSF
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 23, 2025
    License

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

    Description

    Graph and download economic data for Exports of Services: Financial services (IEAXSF) from Q1 1999 to Q2 2025 about exports, financial, services, and USA.

  4. U

    United States US: GDP: USD: Gross National Income

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). 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
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    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

    Economic Conditions Index for Virginia Beach-Norfolk-Newport News, VA-NC...

    • fred.stlouisfed.org
    json
    Updated Apr 14, 2020
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    (2020). Economic Conditions Index for Virginia Beach-Norfolk-Newport News, VA-NC (MSA) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/NFKAGRIDX
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    jsonAvailable download formats
    Dataset updated
    Apr 14, 2020
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Hampton Roads, Newport News, Virginia, North Carolina
    Description

    Graph and download economic data for Economic Conditions Index for Virginia Beach-Norfolk-Newport News, VA-NC (MSA) (DISCONTINUED) (NFKAGRIDX) from Feb 1990 to Dec 2019 about Virginia Beach, academic data, VA, NC, indexes, and USA.

  6. U

    United States US: Broad Money: Average Annual Growth Rate

    • ceicdata.com
    Updated Apr 21, 2011
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    CEICdata.com (2011). United States US: Broad Money: Average Annual Growth Rate [Dataset]. https://www.ceicdata.com/en/united-states/money-supply/us-broad-money-average-annual-growth-rate
    Explore at:
    Dataset updated
    Apr 21, 2011
    Dataset provided by
    CEICdata.com
    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
    Monetary Aggregates/Money Supply/Money Stock
    Description

    United States US: Broad Money: Average Annual Growth Rate data was reported at 3.760 % in 2016. This records an increase from the previous number of 3.408 % for 2015. United States US: Broad Money: Average Annual Growth Rate data is updated yearly, averaging 8.143 % from Dec 1961 (Median) to 2016, with 56 observations. The data reached an all-time high of 13.955 % in 1971 and a record low of -2.741 % in 2010. United States US: Broad Money: Average Annual Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Money Supply. Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.; ; International Monetary Fund, International Financial Statistics and data files.; ;

  7. d

    AFSC/REFM: Steller sea lion economic survey data, U.S., 2007, Lew

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Jun 1, 2025
    + more versions
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    (Point of Contact, Custodian) (2025). AFSC/REFM: Steller sea lion economic survey data, U.S., 2007, Lew [Dataset]. https://catalog.data.gov/dataset/afsc-refm-steller-sea-lion-economic-survey-data-u-s-2007-lew1
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    Dataset updated
    Jun 1, 2025
    Dataset provided by
    (Point of Contact, Custodian)
    Area covered
    United States
    Description

    The project will produce a valuation function that depends on factors related to Steller sea lion (SSL) protection measures, and may include some combination of the expected aggregate size of the population and improvements to the ESA listing status resulting from protection measures, cost of the protection measures, and effects of protection measures on local economies, fishery participants, and consumer fish prices. This function can be used to identify non-consumptive use values for SSLs and how these values are affected by protection measures, thereby providing valuable information to policy makers.

  8. H

    Replication Data for: Political Costs of Trade War Tariffs

    • dataverse.harvard.edu
    Updated Sep 16, 2023
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    Edward D. Mansfield; Omer Solodoch (2023). Replication Data for: Political Costs of Trade War Tariffs [Dataset]. http://doi.org/10.7910/DVN/S1USLQ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Edward D. Mansfield; Omer Solodoch
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    We analyze whether--and, if so, how--Americans reacted to the escalation of the trade war between the United States and China in June 2018. To address this issue, we leverage surveys conducted in the U.S. during this phase of the economic clash. We find a significant reduction in support for Donald Trump and his trade policy immediately following the announcement of retaliatory tariffs by the Chinese government. Moreover, respondents’ economic concerns about the trade war were primarily sociotropic and only weakly related to personal pocketbook considerations or local exposure to Chinese retaliatory tariffs. We also find that the trade war's intensification was politically consequential, decreasing support for Republican candidates in the 2018 midterm elections. Our findings indicate that trade wars can be politically costly for incumbent politicians, even among voters who are not directly affected by retaliatory tariffs.

  9. F

    Quarterly Financial Report: U.S. Corporations: Scientific Research and...

    • fred.stlouisfed.org
    json
    Updated Sep 9, 2025
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    (2025). Quarterly Financial Report: U.S. Corporations: Scientific Research and Development Services: Net Income Retained in Business [Dataset]. https://fred.stlouisfed.org/series/QFRNIRB547USNO
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    jsonAvailable download formats
    Dataset updated
    Sep 9, 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 Quarterly Financial Report: U.S. Corporations: Scientific Research and Development Services: Net Income Retained in Business (QFRNIRB547USNO) from Q4 2009 to Q2 2025 about R&D, legal, science, professional, finance, Net, corporate, business, income, services, industry, and USA.

  10. Financial Data Service Providers in the US

    • ibisworld.com
    Updated Mar 30, 2020
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    IBISWorld (2020). Financial Data Service Providers in the US [Dataset]. https://www.ibisworld.com/united-states/market-size/financial-data-service-providers/5491/
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    Dataset updated
    Mar 30, 2020
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2030
    Area covered
    United States
    Description

    Market Size statistics on the Financial Data Service Providers industry in the US

  11. U

    United States FFC: TC: Domestic: Foreign Currency

    • ceicdata.com
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    CEICdata.com, United States FFC: TC: Domestic: Foreign Currency [Dataset]. https://www.ceicdata.com/en/united-states/us-financial-firms-claims-on-foreigner-quarterly/ffc-tc-domestic-foreign-currency
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    International Reserves
    Description

    United States FFC: TC: Domestic: Foreign Currency data was reported at 3.007 USD bn in Mar 2018. This records a decrease from the previous number of 3.306 USD bn for Dec 2017. United States FFC: TC: Domestic: Foreign Currency data is updated quarterly, averaging 2.418 USD bn from Mar 2003 to Mar 2018, with 61 observations. The data reached an all-time high of 6.741 USD bn in Mar 2015 and a record low of 125.000 USD mn in Jun 2004. United States FFC: TC: Domestic: Foreign Currency 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.KA023: US Financial Firms Claims on Foreigner: Quarterly.

  12. 2017 Economic Census: EC1753BASIC | Real Estate and Rental and Leasing:...

    • data.census.gov
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    ECN, 2017 Economic Census: EC1753BASIC | Real Estate and Rental and Leasing: Summary Statistics for the U.S., States, and Selected Geographies: 2017 (ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2017) [Dataset]. https://data.census.gov/table/ECNBASIC2017.EC1753BASIC?q=Longhorn%20Truck%20Accessories
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2017
    Area covered
    United States
    Description

    Release Date: 2020-06-09.Release Schedule:.The data in this file come from the 2017 Economic Census data files released on a flow basis starting in September 2019. As such, preliminary U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released. Users should be aware that during the release of this consolidated file, data at more detailed North American Industry Classification System (NAICS) and geographic levels may not add to higher-level totals. However, at the completion of the economic census (once all the component files have been released), the detailed data in this file will add to the totals. For more information about economic census planned data product releases, see Economic Census: About: 2017 Release Schedules...Key Table Information:.U.S. totals released in September 2019 will be superseded with final totals, by sector, once data for all states have been released. .Includes only establishments and firms with payroll..Data may be subject to employment- and/or sales-size minimums that vary by industry...Data Items and Other Identifying Records: .Number of firms.Number of establishments.Sales, value of shipments, or revenue ($1,000).Annual payroll ($1,000).First-quarter payroll ($1,000).Number of employees.Range indicating percent of total sales, value of shipments, or revenue imputed.Range indicating percent of total annual payroll imputed.Range indicating percent of total employees imputed..Geography Coverage:.The data are shown for employer establishments and firms at the U.S., State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels that vary by industry. For information about economic census geographies, including changes for 2017, see Economic Census: Economic Geographies...Industry Coverage:.The data are shown at the 2- through 6-digit 2017 NAICS code levels. For information about NAICS, see Economic Census: Technical Documentation: Code Lists...Footnotes:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/economic-census/data/2017/sector53/EC1753BASIC.zip..API Information:.Economic census data are housed in the Census Bureau API. For more information, see Explore Data: Developers: Available APIs: Economic Census..Methodology:.To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain sampling and/or nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only...To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. For detailed information about the methods used to collect and produce statistics, including sampling, eligibility, questions, data collection and processing, data quality, review, weighting, estimation, coding operations, confidentiality protection, sampling error, nonsampling error, and more, see Economic Census: Technical Documentation: Methodology...Symbols:.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totals.N - Not available or not comparable.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page..X - Not applicable.A - Relative standard error of 100% or more.r - Revised.s - Relative standard error exceeds 40%.For a complete list of symbols, see Economic Census: Technical Documentation: Data Dictionary.. .Source:.U.S. Census Bureau, 2017 Economic Census.For information about the economic census, see Business and Economy: Economic Census...Contact Information:.U.S. Census Bureau.For general inquiries:. (800) 242-2184/ (301) 763-5154. ewd.outreach@census.gov.For specific data questions:. (800) 541-8345.For additional contacts, see Economic Census: About: Contact Us.

  13. F

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

    • fred.stlouisfed.org
    json
    Updated Sep 25, 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
    Sep 25, 2025
    License

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

    Description

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

  14. 2012 Economic Census: EC1242A1 | Wholesale Trade: Geographic Area Series:...

    • data.census.gov
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    ECN, 2012 Economic Census: EC1242A1 | Wholesale Trade: Geographic Area Series: Summary Statistics for the U.S., States, Metro Areas, Counties, and Places: 2012 (ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2017) [Dataset]. https://data.census.gov/table/ECNBASIC2012.EC1242A1?q=Motor+Medic
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2012
    Area covered
    United States
    Description

    Table NameWholesale Trade: Geographic Area Series: Summary Statistics for the U.S., States, Metro Areas, Counties, and Places: 2012ReleaseScheduleThe data in this file are scheduled for release on a flow basis starting in February 2015 and ending in October 2015.Key TableInformationThese data supersede the data released in the Industry Series file for Wholesale Trade (Sector 42) from the 2012 Economic Census. See Methodology for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Wholesale Trade (Sector 42).GeographyCoverageThe data are shown at the United States, State, Combined Statistical Area, Metropolitan and Micropolitan Statistical Area, Metropolitan Division, Consolidated City, County (and equivalent), and Economic Place (and equivalent; incorporated and unincorporated) levels. New for 2012: The Economic Place criteria has changed from 5,000 population or jobs for the 2007 Economic Census to 2,500 population or jobs for 2012. Also, data for Non-Metro Areas is now published using Geographic Component Codes. See New for 2012 for more information about these changes. IndustryCoverageThe data are shown for 2- through 8-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:Establishments Sales Annual payroll First-quarter payroll Paid employees Operating expenses Total inventories, beginning of year Total inventories, end of year Percent of sales from administrative records Percent of sales estimatedFTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector42/EC1242A1.zip..ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff . Washington, DC 20233-6900. Tel: (800) 242-2184 . Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center.. These data are final; they supersede data released in earlier data files. Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

  15. F

    Shares of gross domestic product: Exports of goods

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2025
    + more versions
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    (2025). Shares of gross domestic product: Exports of goods [Dataset]. https://fred.stlouisfed.org/series/A253RE1Q156NBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 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 Q2 2025 about Shares of GDP, exports, goods, GDP, and USA.

  16. F

    Total Revenue for Business Schools and Computer and Management Training ,...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
    + more versions
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    (2024). Total Revenue for Business Schools and Computer and Management Training , Establishments exempt from federal income tax , Employer Firms [Dataset]. https://fred.stlouisfed.org/series/REVEF6114TAXEPT
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    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

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

    Description

    Graph and download economic data for Total Revenue for Business Schools and Computer and Management Training , Establishments exempt from federal income tax , Employer Firms (REVEF6114TAXEPT) from 2009 to 2022 about , and USA.

  17. U

    United States US: Trade Balance: Advanced Economies: China, People Republic:...

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). United States US: Trade Balance: Advanced Economies: China, People Republic: Hong Kong [Dataset]. https://www.ceicdata.com/en/united-states/trade-balance-by-country-quarterly/us-trade-balance-advanced-economies-china-people-republic-hong-kong
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    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Description

    United States US: Trade Balance: Advanced Economies: China, People Republic: Hong Kong data was reported at 9.232 USD bn in Mar 2018. This records an increase from the previous number of 8.151 USD bn for Dec 2017. United States US: Trade Balance: Advanced Economies: China, People Republic: Hong Kong data is updated quarterly, averaging -27.000 USD mn from Mar 1960 (Median) to Mar 2018, with 233 observations. The data reached an all-time high of 9.724 USD bn in Sep 2013 and a record low of -2.077 USD bn in Sep 1987. United States US: Trade Balance: Advanced Economies: China, People Republic: Hong Kong 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: Quarterly.

  18. U

    United States FFC: RO: Domestic: Foreign Currency

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States FFC: RO: Domestic: Foreign Currency [Dataset]. https://www.ceicdata.com/en/united-states/us-financial-firms-claims-on-foreigner-quarterly/ffc-ro-domestic-foreign-currency
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2012 - Dec 1, 2014
    Area covered
    United States
    Variables measured
    International Reserves
    Description

    United States FFC: RO: Domestic: Foreign Currency data was reported at 1.000 USD mn in Dec 2014. This records a decrease from the previous number of 2.000 USD mn for Sep 2014. United States FFC: RO: Domestic: Foreign Currency data is updated quarterly, averaging 0.000 USD mn from Mar 2003 (Median) to Dec 2014, with 48 observations. The data reached an all-time high of 359.000 USD mn in Sep 2011 and a record low of 0.000 USD mn in Dec 2012. United States FFC: RO: Domestic: Foreign Currency 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.KA023: US Financial Firms Claims on Foreigner: Quarterly.

  19. F

    Other Financial Corporations; Nonresidential Equipment, Current Cost Basis,...

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
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    (2025). Other Financial Corporations; Nonresidential Equipment, Current Cost Basis, Market Value Levels [Dataset]. https://fred.stlouisfed.org/series/BOGZ1LM815013265Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Description

    Graph and download economic data for Other Financial Corporations; Nonresidential Equipment, Current Cost Basis, Market Value Levels (BOGZ1LM815013265Q) from Q4 1945 to Q2 2025 about cost, market value, finance companies, companies, nonresidential, finance, equipment, financial, and USA.

  20. F

    Nonfinancial Business; Unidentified Miscellaneous Assets Due from...

    • fred.stlouisfed.org
    json
    Updated Dec 14, 2020
    + more versions
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    (2020). Nonfinancial Business; Unidentified Miscellaneous Assets Due from Nonfinancial Businesses, Level (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL143093043A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 14, 2020
    License

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

    Description

    Graph and download economic data for Nonfinancial Business; Unidentified Miscellaneous Assets Due from Nonfinancial Businesses, Level (DISCONTINUED) (BOGZ1FL143093043A) from 1945 to 2019 about fees, miscellaneous, nonfinancial, business, assets, and USA.

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CEICdata.com (2021). 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

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

Explore at:
Dataset updated
Nov 27, 2021
Dataset provided by
CEICdata.com
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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