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

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
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    Statista (2025). U.S. share of value added to GDP 2024, by industry [Dataset]. https://www.statista.com/statistics/248004/percentage-added-to-the-us-gdp-by-industry/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, the finance, insurance, real estate, rental, and leasing industry contributed the highest amount of value to the GDP of the U.S. at 21.2 percent. The construction industry contributed around four percent of GDP in the same year.

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

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

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

  3. United States GDP: PI: Manufacturing: DG: Primary Metal Industries

    • ceicdata.com
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    CEICdata.com, United States GDP: PI: Manufacturing: DG: Primary Metal Industries [Dataset]. https://www.ceicdata.com/en/united-states/nipa-1995-gdp-by-industry-current-price/gdp-pi-manufacturing-dg-primary-metal-industries
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 1986 - Dec 1, 1997
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States GDP: PI: Manufacturing: DG: Primary Metal Industries data was reported at 55.225 USD bn in 1997. This records an increase from the previous number of 52.553 USD bn for 1996. United States GDP: PI: Manufacturing: DG: Primary Metal Industries data is updated yearly, averaging 21.342 USD bn from Dec 1947 (Median) to 1997, with 51 observations. The data reached an all-time high of 55.225 USD bn in 1997 and a record low of 5.584 USD bn in 1947. United States GDP: PI: Manufacturing: DG: Primary Metal Industries data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A207: NIPA 1995: GDP by Industry: Current Price.

  4. U.S. real value added to GDP in New Hampshire 2023, by industry

    • statista.com
    Updated Oct 15, 2024
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    Statista (2024). U.S. real value added to GDP in New Hampshire 2023, by industry [Dataset]. https://www.statista.com/statistics/1065116/new-hampshire-real-gdp-by-industry/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the GDP of New Hampshire amounted to around 93.47 billion U.S. dollars. The finance, insurance, real estate, rental, and leasing industry added the most real value to the gross domestic product of the state, amounting to 20.36 billion U.S. dollars. Comparatively, the mining, quarrying, and oil and gas extraction industry added around 155 million U.S. dollars worth of value to the state's GDP.

  5. F

    Real Sectoral Output for Manufacturing: Primary Metal Manufacturing (NAICS...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
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    (2025). Real Sectoral Output for Manufacturing: Primary Metal Manufacturing (NAICS 331) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUEN331T010000000
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    jsonAvailable download formats
    Dataset updated
    Apr 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 Real Sectoral Output for Manufacturing: Primary Metal Manufacturing (NAICS 331) in the United States (IPUEN331T010000000) from 1987 to 2024 about primary metals, output, primary, NAICS, metals, IP, manufacturing, and USA.

  6. M

    Data from: U.S. GDP

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). U.S. GDP [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/gdp-gross-domestic-product
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    csvAvailable download formats
    Dataset updated
    May 31, 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

    Area covered
    United States
    Description
    U.S. GDP for 2023 was 27.721 trillion US dollars, a 6.59% increase from 2022.
    <ul style='margin-top:20px;'>
    
    <li>U.S. GDP for 2022 was <strong>26.007 trillion US dollars</strong>, a <strong>9.82% increase</strong> from 2021.</li>
    <li>U.S. GDP for 2021 was <strong>23.681 trillion US dollars</strong>, a <strong>10.9% increase</strong> from 2020.</li>
    <li>U.S. GDP for 2020 was <strong>21.354 trillion US dollars</strong>, a <strong>0.86% decline</strong> from 2019.</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.
    
  7. U.S. Los Angeles metro area GDP 2022, by industry

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). 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 updated
    Jul 5, 2024
    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 1.06 trillion U.S. dollars. About 99.2 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 3.9 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 1.287 trillion to Los Angeles’ 755 billion USD in 2011. Chicago metro area ranked third with GMP of 547 billion U.S. dollars. Washington metro area ranked fourth with 434 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 48,466 U.S. dollars annually in 2013. This was lower than the median household income of the United States in 2013, which came in at 51,939 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 817 films in 2011, many of them produced by Hollywood-based studios. In 2012, movie ticket sales in North America generated over 10.8 billion U.S. dollars in box office revenue. Famous Hollywood actresses earn millions annually, with the best paid, Angelina Jolie, earning 33 million U.S. dollars between June 2012 and June 2013. Second on the list was Jennifer Lawrence with earnings of 26 million U.S. dollars.

  8. United States US: GDP: % of Manufacturing: Medium and High Tech Industry

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States US: GDP: % of Manufacturing: Medium and High Tech Industry [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-share-of-gdp/us-gdp--of-manufacturing-medium-and-high-tech-industry
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

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

    United States US: GDP: % of Manufacturing: Medium and High Tech Industry data was reported at 41.166 % in 2015. This stayed constant from the previous number of 41.166 % for 2014. United States US: GDP: % of Manufacturing: Medium and High Tech Industry data is updated yearly, averaging 49.199 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 51.786 % in 1998 and a record low of 38.398 % in 1996. United States US: GDP: % of Manufacturing: Medium and High Tech Industry 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: Share of GDP. The proportion of medium and high-tech industry value added in total value added of manufacturing; ; United Nations Industrial Development Organization (UNIDO), Competitive Industrial Performance (CIP) database; ;

  9. U

    United States US: Total Business Enterprise R&D Personnel: Per Thousand...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry [Dataset]. https://www.ceicdata.com/en/united-states/number-of-researchers-and-personnel-on-research-and-development-oecd-member-annual/us-total-business-enterprise-rd-personnel-per-thousand-employment-in-industry
    Explore at:
    Dataset updated
    Mar 15, 2023
    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, 2011 - Dec 1, 2020
    Area covered
    United States
    Description

    United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data was reported at 17.169 Per 1000 in 2020. This records an increase from the previous number of 15.152 Per 1000 for 2019. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data is updated yearly, averaging 13.282 Per 1000 from Dec 2011 (Median) to 2020, with 10 observations. The data reached an all-time high of 17.169 Per 1000 in 2020 and a record low of 12.478 Per 1000 in 2012. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

    For the UnitedStates, in the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008.
    From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.
    Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly.
    Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category 'wholesale trade' and consequently the BERD for total services. U.S. R&D data are generally comparable, but there are some areas of underestimation:i) Up to 2008, Government sector R&D performance covers only federal government activities.
    That by State and local government establishments is excluded;
    ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures.
    For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.The methodology for estimating researchers was changed as of 1985.
    In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities.
    As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector.
    The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000.
    2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure - 'R&D plant' in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.
    ;

    Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

    R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

    The MSTI variable 'Value added in industry' is used to this end:

    It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

    Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

  10. T

    United States GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States GDP [Dataset]. https://tradingeconomics.com/united-states/gdp
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    xml, excel, json, csvAvailable download formats
    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
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States was worth 27720.71 billion US dollars in 2023, according to official data from the World Bank. The GDP value of the United States represents 26.29 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. U

    United States PPI: Mfg: FA: AS: OA: MD: PP: Metal Windows

    • ceicdata.com
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    CEICdata.com, United States PPI: Mfg: FA: AS: OA: MD: PP: Metal Windows [Dataset]. https://www.ceicdata.com/en/united-states/producer-price-index-by-industry-manufacturing-primary-and-fabricated-metal-products
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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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Variables measured
    Producer Prices
    Description

    PPI: Mfg: FA: AS: OA: MD: PP: Metal Windows data was reported at 411.879 Jun1983=100 in Apr 2025. This records an increase from the previous number of 411.112 Jun1983=100 for Mar 2025. PPI: Mfg: FA: AS: OA: MD: PP: Metal Windows data is updated monthly, averaging 146.100 Jun1983=100 from Jan 1972 (Median) to Apr 2025, with 610 observations. The data reached an all-time high of 411.879 Jun1983=100 in Apr 2025 and a record low of 37.700 Jun1983=100 in Mar 1973. PPI: Mfg: FA: AS: OA: MD: PP: Metal Windows 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.I: Producer Price Index: by Industry: Manufacturing: Primary and Fabricated Metal Products.

  12. U

    United States PPI: Mfg: FA: BT: Heavy Gauge Metal Tank (HG)

    • ceicdata.com
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    CEICdata.com, United States PPI: Mfg: FA: BT: Heavy Gauge Metal Tank (HG) [Dataset]. https://www.ceicdata.com/en/united-states/producer-price-index-by-industry-manufacturing-primary-and-fabricated-metal-products
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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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Variables measured
    Producer Prices
    Description

    PPI: Mfg: FA: BT: Heavy Gauge Metal Tank (HG) data was reported at 274.850 Dec2003=100 in Apr 2025. This records an increase from the previous number of 274.494 Dec2003=100 for Mar 2025. PPI: Mfg: FA: BT: Heavy Gauge Metal Tank (HG) data is updated monthly, averaging 146.000 Dec2003=100 from Dec 2003 (Median) to Apr 2025, with 245 observations. The data reached an all-time high of 274.850 Dec2003=100 in Apr 2025 and a record low of 100.000 Dec2003=100 in Dec 2003. PPI: Mfg: FA: BT: Heavy Gauge Metal Tank (HG) 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.I: Producer Price Index: by Industry: Manufacturing: Primary and Fabricated Metal Products.

  13. d

    Economic Impact of Section 232 and 301 Tariffs on U.S. Industries

    • catalog.data.gov
    Updated Apr 17, 2025
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    Office of Economics (2025). Economic Impact of Section 232 and 301 Tariffs on U.S. Industries [Dataset]. https://catalog.data.gov/dataset/economic-impact-of-section-232-and-301-tariffs-on-u-s-industries
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    Dataset updated
    Apr 17, 2025
    Dataset provided by
    Office of Economics
    Area covered
    United States
    Description

    Code and modeling data for Economic Impact of Section 232 and 301 Tariffs on U.S. Industries

  14. U

    United States PPI: Mfg: FA: AS: OA: ST: PP: Aircon Duct & Stove Pipe

    • ceicdata.com
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    CEICdata.com, United States PPI: Mfg: FA: AS: OA: ST: PP: Aircon Duct & Stove Pipe [Dataset]. https://www.ceicdata.com/en/united-states/producer-price-index-by-industry-manufacturing-primary-and-fabricated-metal-products
    Explore at:
    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, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Producer Prices
    Description

    PPI: Mfg: FA: AS: OA: ST: PP: Aircon Duct & Stove Pipe data was reported at 292.988 Dec2003=100 in Apr 2025. This stayed constant from the previous number of 292.988 Dec2003=100 for Mar 2025. PPI: Mfg: FA: AS: OA: ST: PP: Aircon Duct & Stove Pipe data is updated monthly, averaging 171.300 Dec2003=100 from Dec 2003 (Median) to Apr 2025, with 227 observations. The data reached an all-time high of 294.130 Dec2003=100 in Feb 2023 and a record low of 100.000 Dec2003=100 in Dec 2003. PPI: Mfg: FA: AS: OA: ST: PP: Aircon Duct & Stove Pipe 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.I: Producer Price Index: by Industry: Manufacturing: Primary and Fabricated Metal Products.

  15. N

    Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Industry, TX Household Incomes Across 16 Income Brackets // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/ac790f06-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Texas, Industry
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Industry: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 18(15.52%) households with a householder aged between 25 and 44 years, 74(63.79%) households with a householder aged between 45 and 64 years, and 24(20.69%) households where the householder is over 65 years old.
    • The age group of 65 years and over exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Industry, showcasing varying income levels among different age demographics.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Income brackets:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Industry median household income by age. You can refer the same here

  16. F

    Number of Private Establishments for All Industries in Major County, OK

    • fred.stlouisfed.org
    json
    Updated Jun 4, 2025
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    (2025). Number of Private Establishments for All Industries in Major County, OK [Dataset]. https://fred.stlouisfed.org/series/ENU4009320510
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 4, 2025
    License

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

    Area covered
    Major County, Oklahoma
    Description

    Graph and download economic data for Number of Private Establishments for All Industries in Major County, OK (ENU4009320510) from Q1 1990 to Q4 2024 about Major County, OK; OK; establishments; private industries; private; industry; and USA.

  17. U.S. real value added to GDP in Washington D.C. 2023, by industry

    • statista.com
    Updated Oct 15, 2024
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    Statista (2024). U.S. real value added to GDP in Washington D.C. 2023, by industry [Dataset]. https://www.statista.com/statistics/1065920/district-of-columbia-real-gdp-by-industry/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the government and government enterprises industry added the most real value to the gross domestic product (GDP) of the District of Columbia, amounting to around 44.91 billion U.S. dollars. Comparatively, the information industry contributed around 12.89 billion U.S. dollars to the district's real GDP.

  18. 2022 Economic Census: EC2200SIZECONCEN | Selected Sectors: Concentration of...

    • data.census.gov
    Updated Dec 6, 2024
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    ECN (2024). 2022 Economic Census: EC2200SIZECONCEN | Selected Sectors: Concentration of Largest 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/cedsci/table?q=Concentration
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    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: Concentration of Largest Firms for the U.S.: 2022.Table ID.ECNSIZE2022.EC2200SIZECONCEN.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 employeesSales, value of shipments, or revenue of largest firms as percent of total sales, value of shipments, or revenue(%)Herfindahl-Hirschman Index (based on sales, value of shipments, or revenue)(%)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. Unp...

  19. United States PPI: Mfg: Food: AN: OA: Primary Products (PP)

    • ceicdata.com
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    CEICdata.com, United States PPI: Mfg: Food: AN: OA: Primary Products (PP) [Dataset]. https://www.ceicdata.com/en/united-states/producer-price-index-by-industry-manufacturing-food
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Variables measured
    Producer Prices
    Description

    PPI: Mfg: Food: AN: OA: Primary Products (PP) data was reported at 216.389 Dec1980=100 in Mar 2025. This records a decrease from the previous number of 218.757 Dec1980=100 for Feb 2025. PPI: Mfg: Food: AN: OA: Primary Products (PP) data is updated monthly, averaging 92.000 Dec1980=100 from Jan 1962 (Median) to Mar 2025, with 759 observations. The data reached an all-time high of 252.622 Dec1980=100 in Sep 2022 and a record low of 37.000 Dec1980=100 in Mar 1962. PPI: Mfg: Food: AN: OA: Primary Products (PP) 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.I083: Producer Price Index: by Industry: Manufacturing: Food.

  20. Gross domestic product (GDP) at basic prices, by North American Industry...

    • open.canada.ca
    • data.urbandatacentre.ca
    • +3more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Gross domestic product (GDP) at basic prices, by North American Industry Classification System (NAICS) and province [Dataset]. https://open.canada.ca/data/en/dataset/c28d3467-551b-477d-80f8-25bedc3710c2
    Explore at:
    csv, xml, htmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 5976 series, with data for years 1984 - 2011 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Newfoundland and Labrador; New Brunswick; Nova Scotia; Prince Edward Island ...), Value (4 items: Current dollars; 1997 constant dollars; Chained (2002) dollars; Chained (1997) dollars ...), North American Industry Classification System (NAICS) (115 items: All industries; Forestry and logging; Agriculture; forestry; fishing and hunting; Crop and animal production ...).

Share
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Statista (2025). U.S. share of value added to GDP 2024, by industry [Dataset]. https://www.statista.com/statistics/248004/percentage-added-to-the-us-gdp-by-industry/
Organization logo

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

Explore at:
18 scholarly articles cite this dataset (View in Google Scholar)
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, insurance, real estate, rental, and leasing industry contributed the highest amount of value to the GDP of the U.S. at 21.2 percent. The construction industry contributed around four percent of GDP in the same year.

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