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

    • ceicdata.com
    Updated Oct 15, 2003
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2003). 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
    Explore at:
    Dataset updated
    Oct 15, 2003
    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. M

    U.S. Economic Growth 1947-2025

    • macrotrends.net
    csv
    Updated Apr 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MACROTRENDS (2025). U.S. Economic Growth 1947-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/USA/united-states/economic-growth-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    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, 1947 - May 1, 2025
    Area covered
    United States
    Description
    U.S. economic growth for 2018 was $20,891, a 1.13% increase from 2018.
    <ul style='margin-top:20px;'>
    
    <li>U.S. economic growth for 2018 was <strong>$20,658</strong>, a <strong>1.21% increase</strong> from 2018.</li>
    <li>U.S. economic growth for 2018 was <strong>$20,412</strong>, a <strong>1.85% increase</strong> from 2018.</li>
    <li>U.S. economic growth for 2018 was <strong>$20,041</strong>, a <strong>1.05% increase</strong> from 2017.</li>
    </ul>GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.
    
  3. o

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

    • openicpsr.org
    Updated May 1, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Explore at:
    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.

  4. T

    American Financial | Obroty

    • pl.tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 6, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). American Financial | Obroty [Dataset]. https://pl.tradingeconomics.com/afg:us:sales
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Aug 6, 2017
    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, 2000 - Apr 14, 2025
    Area covered
    United States
    Description

    American Financial Obroty - Aktualne wartości, dane historyczne, prognozy, statystyki, wykresy i kalendarz ekonomiczny - Apr 2025.Data for American Financial | Obroty including historical, tables and charts were last updated by Trading Economics this last April in 2025.

  5. F

    Shares of gross domestic product: Exports of goods

    • fred.stlouisfed.org
    json
    Updated May 29, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Shares of gross domestic product: Exports of goods [Dataset]. https://fred.stlouisfed.org/series/A253RE1Q156NBEA
    Explore at:
    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. Replication data for: The Determinants of the Macroeconomic Implications of...

    • openicpsr.org
    Updated May 1, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Louise Sheiner (2014). Replication data for: The Determinants of the Macroeconomic Implications of Aging [Dataset]. http://doi.org/10.3886/E112780V1
    Explore at:
    Dataset updated
    May 1, 2014
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Louise Sheiner
    Description

    The aging of the US population undoubtedly will be associated with macroeconomic changes. In particular, some combination of lower consumption growth and increased labor input will ultimately be required. But, the timing of these changes can have important effects on variables like the rate of return to capital and wages. If the adjustment to consumption is slow, which would be the case if budget deficits were allowed to rise significantly as the population ages, then aging is likely to be associated with an increase in the return to capital and a reduction in wages.

  7. T

    American Financial | 유동 자산

    • ko.tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 25, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). American Financial | 유동 자산 [Dataset]. https://ko.tradingeconomics.com/afg:us:current-assets
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jul 25, 2017
    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, 2000 - Jun 10, 2025
    Area covered
    United States
    Description

    American Financial 유동 자산 - 현재 값, 이력 데이터, 예측, 통계, 차트 및 경제 달력 - Jun 2025.Data for American Financial | 유동 자산 including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  8. United States MDI: IC: Asian or Pacific Islander American

    • ceicdata.com
    Updated Mar 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). United States MDI: IC: Asian or Pacific Islander American [Dataset]. https://www.ceicdata.com/en/united-states/minority-depository-institutions-annual/mdi-ic-asian-or-pacific-islander-american
    Explore at:
    Dataset updated
    Mar 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, 2007 - Dec 1, 2018
    Area covered
    United States
    Description

    United States MDI: IC: Asian or Pacific Islander American data was reported at 73.000 Number in 2018. This records a decrease from the previous number of 76.000 Number for 2017. United States MDI: IC: Asian or Pacific Islander American data is updated yearly, averaging 80.000 Number from Dec 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 99.000 Number in 2010 and a record low of 67.000 Number in 2003. United States MDI: IC: Asian or Pacific Islander American data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB070: Minority Depository Institutions: Annual.

  9. United States US: GDP: USD: Gross National Income

    • ceicdata.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    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
    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;

  10. F

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

    • fred.stlouisfed.org
    json
    Updated May 30, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Advance U.S. International Trade in Goods: Imports: Industrial Supplies [Dataset]. https://fred.stlouisfed.org/series/AITGIIS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 30, 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 Apr 2025 to Apr 2025 about supplies, imports, trade, goods, industry, and USA.

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

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    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.

  12. T

    First American Financial | 销售和管理费用

    • zh.tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 16, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). First American Financial | 销售和管理费用 [Dataset]. https://zh.tradingeconomics.com/faf:us:selling-and-administration-expenses
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Sep 16, 2017
    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, 2000 - Apr 27, 2025
    Area covered
    United States
    Description

    First American Financial 销售和管理费用 - 当前值,历史数据,预测,统计,图表和经济日历 - Apr 2025.Data for First American Financial | 销售和管理费用 including historical, tables and charts were last updated by Trading Economics this last April in 2025.

  13. F

    Quarterly Financial Report: U.S. Corporations: All Information: Total Assets...

    • fred.stlouisfed.org
    json
    Updated Mar 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Quarterly Financial Report: U.S. Corporations: All Information: Total Assets [Dataset]. https://fred.stlouisfed.org/series/QFR223INFUSNO
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 24, 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: All Information: Total Assets (QFR223INFUSNO) from Q4 2009 to Q4 2024 about information, finance, corporate, assets, industry, and USA.

  14. Data and Code for: A Test of Enhancing Learning in Economics through Nudges

    • openicpsr.org
    stata
    Updated Jan 10, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Patrick Conway; Rita Balaban (2020). Data and Code for: A Test of Enhancing Learning in Economics through Nudges [Dataset]. http://doi.org/10.3886/E117162V1
    Explore at:
    stataAvailable download formats
    Dataset updated
    Jan 10, 2020
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Patrick Conway; Rita Balaban
    License

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

    Description
    Publication in AEA P&P 2020.

    We test for the importance of nudges in improving student performance in Introductory Economics courses at UNC-Chapel Hill. We use a randomized controlled trial to test the effectiveness of nudges in encouraging use of academic supports and (jointly) the use of these supports on academic performance. With our aggregated sample the average treatment effects take the correct sign but are uniformly statistically insignificant. This near-zero average effect masks large and significant effects of nudges among subgroups of individuals: females, first-years, and individuals of color. Our results identify subgroup-activity pairings for which nudges work at the margin to encourage participation.
  15. d

    Pratham Information Project -- Read India

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Duflo, Esther; Banerjee, Abhijit; Banerji, Rukmini; Glennerster, Rachel; Khemani, Stuti (2023). Pratham Information Project -- Read India [Dataset]. http://doi.org/10.7910/DVN/CHDLPN
    Explore at:
    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Duflo, Esther; Banerjee, Abhijit; Banerji, Rukmini; Glennerster, Rachel; Khemani, Stuti
    Time period covered
    Jan 1, 2005 - Jan 1, 2006
    Description

    This data is the basis for the article: Banerjee, Abhijit V.; Banerji, Rukmini; Duflo, Esther; Glennerster, Rachel; and Khemani, Stuti: "Pitfalls of Participatory Programs: Evidence from a Randomized Evaluation in Education in India" in the American Economic Journal: Economic Policy.

  16. United States US: Broad Money: Average Annual Growth Rate

    • ceicdata.com
    Updated Apr 21, 2011
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    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
    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.; ;

  17. T

    American Financial | Penjualan

    • id.tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 29, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2023). American Financial | Penjualan [Dataset]. https://id.tradingeconomics.com/afg:us:sales
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Oct 29, 2023
    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, 2000 - May 6, 2025
    Area covered
    United States
    Description

    American Financial Penjualan - Nilai saat ini, data historis, perkiraan, statistik, grafik dan kalender ekonomi - May 2025.Data for American Financial | Penjualan including historical, tables and charts were last updated by Trading Economics this last May in 2025.

  18. o

    Code for "Income Declines During COVID-19"

    • openicpsr.org
    Updated Apr 21, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jeff Larrimore; Jacob Mortenson; David Splinter (2022). Code for "Income Declines During COVID-19" [Dataset]. http://doi.org/10.3886/E168281V1
    Explore at:
    Dataset updated
    Apr 21, 2022
    Dataset provided by
    American Economic Association
    Authors
    Jeff Larrimore; Jacob Mortenson; David Splinter
    License

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

    Area covered
    United States
    Description

    The COVID-19 pandemic caused regressive income declines, but also led to progressive policy responses. Using administrative U.S. tax data, which are a near-universal panel dataset that can track income changes over time, we consider the distribution of annual income declines during the COVID-19 pandemic relative to the Great Recession. We then show how the unprecedented policy response to the pandemic, through enhanced unemployment insurance benefits and stimulus checks, affected the distribution of these declines

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

    • statista.com
    Updated Apr 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    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.

  20. 2022 Economic Census: EC2200SIZEREVFIRM | Selected Sectors: Sales, Value of...

    • data.census.gov
    Updated Dec 6, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ECN (2024). 2022 Economic Census: EC2200SIZEREVFIRM | Selected Sectors: Sales, Value of Shipments, or Revenue Size of Firms for the U.S.: 2022 (ECN Core Statistics Economic Census: Establishment and Firm Size Statistics for the U.S.) [Dataset]. https://data.census.gov/table/ECNSIZE2022.EC2200SIZEREVFIRM
    Explore at:
    Dataset updated
    Dec 6, 2024
    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
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Selected Sectors: Sales, Value of Shipments, or Revenue Size of Firms for the U.S.: 2022.Table ID.ECNSIZE2022.EC2200SIZEREVFIRM.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Economic Census: Establishment and Firm Size Statistics for the U.S..Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2025-04-24.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesOperating expenses ($1,000)Total inventories, beginning of year ($1,000)Total inventories, end of year ($1,000)Range indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. levels only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 6-digit 2022 NAICS code levels for all economic census sectors except Agriculture (11) and Management of Companies and Enterprises (55). For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - 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 ar...

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
CEICdata.com (2003). 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
Oct 15, 2003
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.

Search
Clear search
Close search
Google apps
Main menu