100+ datasets found
  1. U.S. value added to GDP 2024, by industry

    • statista.com
    Updated Nov 28, 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
    Nov 28, 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.

  2. 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.

  3. U

    USA Consumption as percent of GDP, June, 2025 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Aug 7, 2024
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    Globalen LLC (2024). USA Consumption as percent of GDP, June, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/USA/consumption_GDP/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Mar 31, 1960 - Jun 30, 2025
    Area covered
    United States
    Description

    Consumption as percent of GDP in the USA, June, 2025 The most recent value is 68.13 percent as of Q2 2025, an increase compared to the previous value of 67.81 percent. Historically, the average for the USA from Q1 1960 to Q2 2025 is 64.03 percent. The minimum of 58.06 percent was recorded in Q1 1967, while the maximum of 68.97 percent was reached in Q4 2024. | TheGlobalEconomy.com

  4. U

    United States CPI U: Northeast: Size Class B/C

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CPI U: Northeast: Size Class B/C [Dataset]. https://www.ceicdata.com/en/united-states/consumer-price-index-urban-by-region/cpi-u-northeast-size-class-bc
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    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    United States CPI U: Northeast: Size Class B/C data was reported at 156.752 Dec1996=100 in Oct 2018. This records a decrease from the previous number of 156.961 Dec1996=100 for Sep 2018. United States CPI U: Northeast: Size Class B/C data is updated monthly, averaging 132.049 Dec1996=100 from Dec 1996 (Median) to Oct 2018, with 263 observations. The data reached an all-time high of 157.350 Dec1996=100 in Aug 2018 and a record low of 100.000 Dec1996=100 in Jan 1997. United States CPI U: Northeast: Size Class B/C data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I014: Consumer Price Index: Urban: By Region. All metropolitan areas with population smaller than 1.5 million

  5. 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.

  6. T

    Economic Policy Uncertainty : News-Based for the United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 7, 2025
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    TRADING ECONOMICS (2025). Economic Policy Uncertainty : News-Based for the United States [Dataset]. https://tradingeconomics.com/united-states/economic-policy-uncertainty-index-news-based-index-for-the-united-states-fed-data.html
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Economic Policy Uncertainty : News-Based for the United States was 282.42142 Index in October of 2025, according to the United States Federal Reserve. Historically, Economic Policy Uncertainty : News-Based for the United States reached a record high of 725.03117 in April of 2025 and a record low of 21.94447 in September of 1956. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Policy Uncertainty : News-Based for the United States - last updated from the United States Federal Reserve on November of 2025.

  7. 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;

  8. F

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

    • fred.stlouisfed.org
    json
    Updated Sep 26, 2025
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    (2025). 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 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 Gross Domestic Product: Real Estate (531) in the United States (USREALNGSP) from 1997 to 2024 about leases, real estate, rent, finance, insurance, GSP, private industries, private, industry, GDP, and USA.

  9. F

    Shares of gross domestic product: Exports of goods

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

  10. T

    United States - Gross domestic product: Imputations

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 9, 2020
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    TRADING ECONOMICS (2020). United States - Gross domestic product: Imputations [Dataset]. https://tradingeconomics.com/united-states/gross-domestic-product-imputations-fed-data.html
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    Feb 9, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Gross domestic product: Imputations was 3726.90400 Bil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Gross domestic product: Imputations reached a record high of 3726.90400 in January of 2022 and a record low of 6.89400 in January of 1933. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross domestic product: Imputations - last updated from the United States Federal Reserve on November of 2025.

  11. d

    Data from: Data release for Integrating physical and economic data into...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Oct 30, 2025
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    U.S. Geological Survey (2025). Data release for Integrating physical and economic data into experimental water accounts for the United States: lessons and opportunities [Dataset]. https://catalog.data.gov/dataset/data-release-for-integrating-physical-and-economic-data-into-experimental-water-accounts-f
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    Dataset updated
    Oct 30, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States
    Description

    Water provides society with economic benefits that increasingly involve tradeoffs, making accounting for water quality, quantity, and their corresponding economic productivity more relevant in our interconnected world. In the past, physical and economic data about water have been fragmented, but integration is becoming more widely adopted internationally through application of the System of Environmental-Economic Accounts for Water (SEEA-Water), which enables the tracking of linkages between water and the economy over time and across scales. In this paper, we present the first national and subnational SEEA-Water accounts for the United States. We compile accounts for: (1) physical supply and use of water, (2) water productivity, (3) water quality, and (4) water emissions. These cover state and national levels for roughly the years 2000 to 2015. The results illustrate broad aggregate trends as well as subnational or industry-level phenomena. Specifically, the accounts show that total U.S. water use declined by 22% from 2000 to 2015, continuing a national trend seen since 1980. Total water use fell in 44 states, though groundwater use increased in 21 states. Nationally, a larger percent of water use comes from groundwater than at any time since 1950. Reductions in water use, combined with economic growth, lead to increases in water productivity for the entire national economy (65%), mining (99%), and agriculture (68%), though substantial variation occurred among states. Surface-water quality trends for the years 2002 to 2012 were most evident at regional levels, and differ by water-quality constituent and region. Chloride, nitrate, and total dissolved solids levels in groundwater had more consistent and widespread water-quality declines nationally. This work provides a baseline of recent historical water resource trends and their value in the U.S., as well as roadmap for the completion of future accounts for water, a critical ecosystem service. Our work also aids in the interpretation of ecosystem accounts in the context of long-term trends in U.S. water resources.

  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. U

    United States Employment: Male: Age 25 & Over

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Employment: Male: Age 25 & Over [Dataset]. https://www.ceicdata.com/en/united-states/current-population-survey-employment/employment-male-age-25--over
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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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: Male: Age 25 & Over data was reported at 73,087.000 Person th in Jun 2018. This records a decrease from the previous number of 73,489.000 Person th for May 2018. United States Employment: Male: Age 25 & Over data is updated monthly, averaging 46,443.000 Person th from Jan 1948 (Median) to Jun 2018, with 846 observations. The data reached an all-time high of 73,489.000 Person th in May 2018 and a record low of 34,060.000 Person th in Feb 1950. United States Employment: Male: Age 25 & Over data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G013: Current Population Survey: Employment.

  14. 2012 Economic Census: EC1256SSSZ6 | Administrative and Support and Waste...

    • data.census.gov
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    ECN, 2012 Economic Census: EC1256SSSZ6 | Administrative and Support and Waste Management and Remediation Services: Subject Series - Establishment and Firm Size: Summary Statistics by Concentration of Largest Firms for the U.S.: 2012 (ECN Core Statistics Economic Census: Establishment and Firm Size Statistics for the U.S.) [Dataset]. https://data.census.gov/table/ECNSIZE2012.EC1256SSSZ6?q=GUTTERS+PLUS
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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
    2012
    Area covered
    United States
    Description

    Table NameAdministrative and Support and Waste Management and Remediation Services: Subject Series: Estab & Firm Size: Summary Statistics by Concentration of Largest Firms for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1256SSSZ1 through EC1256SSSZ5 and EC1256SSSZ7 present data by employment and receipts size for establishments and firms, single unit and multiunit firms, and legal form of organization for the United States. 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 Administrative and Support and Waste Management and Remediation Services (Sector 56).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:.Establishments.Receipts.Receipts of largest firms as a percent of total receipts.Annual payroll.First-quarter payroll.Paid employees.Each record includes a CONCENFI code which represents a specific firm concentration category (including all firms, 4 largest firms, 8 largest firms, 20 largest firms, and 50 largest firms).FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector56/EC1256SSSZ6.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..Includes only firms and establishments of firms with payroll. Excludes data for corporate, subsidiary, and regional managing offices and establishments of these firms that are classified in other categories than those specified in this file. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and 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

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

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2025
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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
    Sep 25, 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, Net, consumption expenditures, consumption, personal, GDP, and USA.

  16. 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.

  17. Biggest economies in the world, based on share in PPP weighted world GDP...

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Biggest economies in the world, based on share in PPP weighted world GDP 2023 [Dataset]. https://www.statista.com/statistics/1403678/share-of-world-gdp-by-country/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    India, United States
    Description

    The size of the five original BRICS economies in 2023 - Brazil, Russia, China, India, South Africa - is comparable to the United States and the EU-27 put together. On a PPP (purchasing power parity) basis, China ranks as the world's largest economy. India takes up the economic parity of about **** the EU-27. The rise of these developing economies gave rise to questions on the role the United States plays in international trade and cross-border finance. FX reserve managers around the world expect to shift their holdings towards the Chinese yuan in the long term, as of 2023.

  18. F

    Total Construction Spending: Residential in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 2, 2025
    + more versions
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    (2025). Total Construction Spending: Residential in the United States [Dataset]. https://fred.stlouisfed.org/series/TLRESCONS
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    jsonAvailable download formats
    Dataset updated
    Sep 2, 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 Total Construction Spending: Residential in the United States (TLRESCONS) from Jan 2002 to Jul 2025 about residential, expenditures, construction, and USA.

  19. U.S. Los Angeles metro area GDP 2022, by industry

    • statista.com
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    Statista, U.S. Los Angeles metro area GDP 2022, by industry [Dataset]. https://www.statista.com/statistics/591646/gdp-of-the-los-angeles-metro-area-by-industry/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    This graph shows the GDP of the Los Angeles metro area in 2022, by industry. In 2022, its GDP amounted to about **** trillion U.S. dollars. About **** billion U.S. dollars were generated by the manufacturing industry. The overall quarterly GDP growth in the United States can be found here.

    Gross domestic product of Los Angeles

    With a population of over *** million inhabitants in 2011, Los Angeles is the second largest city in America, following only New York. The Los Angeles metro area also ranked second among U.S. metro areas in terms of gross metropolitan product, second again only to New York City metro area, which came in with a GMP of USD ***** trillion to Los Angeles’ *** billion USD in 2011. Chicago metro area ranked third with GMP of *** billion U.S. dollars. Washington metro area ranked fourth with *** billion U.S. dollars in 2011. Additional detailed statistics about GDP and GMP in the United States is available here.

    Despite Los Angeles’ high GDP, L.A. did not do as well as some cities in terms of median household income. Los Angeles ranked 11th with a median household income of ****** U.S. dollars annually in 2013. This was lower than the median household income of the United States in 2013, which came in at ****** U.S. dollars annually.

    Located in Southern California, Los Angeles is home to Hollywood, the famous epicenter of the U.S. film and television industries. The United States is one of the leading film markets worldwide, producing *** films in 2011, many of them produced by Hollywood-based studios. In 2012, movie ticket sales in North America generated over **** billion U.S. dollars in box office revenue. Famous Hollywood actresses earn millions annually, with the best paid, Angelina Jolie, earning ** million U.S. dollars between ********* and *********. Second on the list was Jennifer Lawrence with earnings of ** million U.S. dollars.

  20. U

    United States AHE: sa: PW: PB: Packaging & Labeling Services

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States AHE: sa: PW: PB: Packaging & Labeling Services [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-production-workers/ahe-sa-pw-pb-packaging--labeling-services
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    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
    Dec 1, 2021 - Nov 1, 2022
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States AHE: sa: PW: PB: Packaging & Labeling Services data was reported at 20.630 USD in Nov 2022. This records an increase from the previous number of 20.430 USD for Oct 2022. United States AHE: sa: PW: PB: Packaging & Labeling Services data is updated monthly, averaging 13.020 USD from Jan 1990 (Median) to Nov 2022, with 395 observations. The data reached an all-time high of 20.630 USD in Nov 2022 and a record low of 7.360 USD in Jan 1990. United States AHE: sa: PW: PB: Packaging & Labeling Services data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G076: Current Employment Statistics: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

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

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 28, 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.

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