100+ datasets found
  1. Number of U.S. data breaches 2013-2019, by industry

    • statista.com
    Updated Nov 9, 2024
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    Statista (2024). Number of U.S. data breaches 2013-2019, by industry [Dataset]. https://www.statista.com/statistics/273572/number-of-data-breaches-in-the-united-states-by-business/
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    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the number of data breaches in the United States from 2013 to 2019, by industry. In the last measured period, the majority of the 1,473 annual data breaches affected business and medical or healthcare organizations, with 644 and 525 data breaches respectively.

  2. 2019 Economic Surveys: AB00MYCSA01A | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated Oct 28, 2021
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    ECN (2021). 2019 Economic Surveys: AB00MYCSA01A | Annual Business Survey: Statistics for Employer Firms by Sex for the U.S.: 2019 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2019.AB00MYCSA01A?y=2019&codeset=naics~484
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    Dataset updated
    Oct 28, 2021
    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
    2019
    Description

    Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Sex for the U.S.: 2019.Table ID.ABSCS2019.AB00MYCSA01A.Survey/Program.Economic Surveys.Year.2019.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2021-10-28.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Sex Female Male Equally male/female Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions 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 ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2019 BERD sample, or have high receipts, payroll, or employment. Total sample size is 300,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey 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. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY21-289).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 data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2019/.API Information.Annual Business Survey (ABS) 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 totalsS - Estimate does not meet publication standards because of high sampling variability,...

  3. Small Business Profiles for the States and Territories - 2019

    • catalog.data.gov
    • data-dathere.dataops.dathere.com
    • +1more
    Updated Feb 9, 2023
    + more versions
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    Small Business Administration (2023). Small Business Profiles for the States and Territories - 2019 [Dataset]. https://catalog.data.gov/dataset/small-business-profiles-for-the-states-and-territories-2019
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    Dataset updated
    Feb 9, 2023
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    Description

    The Office of Advocacy’s Small Business Profiles are an annual portrait of each state’s small business. They gather the latest federal data into state-by-state snapshots of small business health and economic activity. Limited economic data is also provided for the U.S. territories. This year’s profiles report on state economic growth and employment, income and finance, employer business owner demographics, turnover among establishments with employees, international trade, small business employment by industry and county, and self-employment by county, and small businesses by industry.

  4. Trust barriers related AI data and privacy within companies in U.S. 2019

    • statista.com
    Updated Mar 17, 2022
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    Statista (2022). Trust barriers related AI data and privacy within companies in U.S. 2019 [Dataset]. https://www.statista.com/statistics/1045218/united-states-ai-trust-data-quality-privacy/
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    Dataset updated
    Mar 17, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2019
    Area covered
    United States
    Description

    According to a survey conducted at the EmTech Digital conference in March 2019, U.S. business leaders shared their opinions on trust issues with regard to AI data quality and privacy. Nearly half of respondents reported a lack of trust in the quality of AI data in their companies, showing that there is still a long way to go to get quality AI data.

  5. Small Business Lending In The United States - 2019

    • catalog.data.gov
    • data-dathere.dataops.dathere.com
    • +2more
    Updated May 4, 2023
    + more versions
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    Small Business Administration (2023). Small Business Lending In The United States - 2019 [Dataset]. https://catalog.data.gov/dataset/small-business-lending-in-the-united-states-2019-e8da1
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    Dataset updated
    May 4, 2023
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    Area covered
    United States
    Description

    Advocacy’s small business lending report examines FDIC data to determine the state of bank lending to small businesses. Between June 2017 and June 2019, small business lending remained positive, though below the increase in lending to large businesses. This report examines all small business loans (commercial loans valued at $1 million or less) and is not specific to SBA-guaranteed loans. The data in the report provides a snapshot of the credit market before the beginning of the COVID-19 pandemic. In addition, the appendix tables provide rankings of top bank lenders by small business lending ratios. This year, detailed state tables are provided to spotlight the small business lending activity in each state.

  6. 2019 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for...

    • data.census.gov
    Updated Oct 28, 2021
    + more versions
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    ECN (2021). 2019 Economic Surveys: AB00MYCSA01D | Annual Business Survey: Statistics for Employer Firms by Veteran Status for the U.S.: 2019 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2019.AB00MYCSA01D
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    Dataset updated
    Oct 28, 2021
    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
    2019
    Description

    Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Veteran Status for the U.S.: 2019.Table ID.ABSCS2019.AB00MYCSA01D.Survey/Program.Economic Surveys.Year.2019.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2021-10-28.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2017 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Veteran Status (defined as having served in any branch of the U.S. Armed Forces) Veteran Equally veteran/nonveteran Nonveteran Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions 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 ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2019 BERD sample, or have high receipts, payroll, or employment. Total sample size is 300,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2017 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey 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. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY21-289).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 data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Information.FTP Download.https://www2.census.gov/programs-surveys/abs/data/2019/.API Information.Annual Business Survey (ABS) 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 hig...

  7. Data management strategies for increasing data volume for CX in the U.S....

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Data management strategies for increasing data volume for CX in the U.S. 2019 [Dataset]. https://www.statista.com/statistics/1196862/data-management-strategies-for-cx-in-the-us/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    During a survey on customer experience (CX) among businesses conducted in the United States in 2019, participants were asked how their organizations cope with increasing data volume originating from digital channels. One in *** respondents answered that their organization has a dedicated business analytics team in charge of interpreting data. Moreover, approximately ** percent of the respondents said that thier company has an automated technology system in place for this purpose.

  8. d

    Infogroup US Historical Business Data

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Infogroup (2023). Infogroup US Historical Business Data [Dataset]. http://doi.org/10.7910/DVN/PNOFKI
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Infogroup
    Time period covered
    Jan 1, 1997 - Jan 1, 2019
    Description

    InfoGroup’s Historical Business Backfile consists of geo-coded records of millions of US businesses and other organizations that contain basic information on each entity, such as: contact information, industry description, annual revenues, number of employees, year established, and other data. Each annual file consists of a “snapshot” of InfoGroup’s data as of the last day of each year, creating a time series of data 1997-2019. Access is restricted to current Harvard University community members. Use of Infogroup US Historical Business Data is subject to the terms and conditions of a license agreement (effective March 16, 2016) between Harvard and Infogroup Inc. and subject to applicable laws. Most data files are available in either .csv or .sas format. All data files are compressed into an archive in .gz, or GZIP, format. Extraction software such as 7-Zip is required to unzip these archives.

  9. F

    Ease of doing business index for the United States

    • fred.stlouisfed.org
    json
    Updated Nov 15, 2019
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    (2019). Ease of doing business index for the United States [Dataset]. https://fred.stlouisfed.org/series/ICBUSEASEXQUSA
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    jsonAvailable download formats
    Dataset updated
    Nov 15, 2019
    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 Ease of doing business index for the United States (ICBUSEASEXQUSA) from 2019 to 2019 about ease, business, indexes, and USA.

  10. m

    Dataset of development of business during the COVID-19 crisis

    • data.mendeley.com
    • narcis.nl
    Updated Nov 9, 2020
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    Tatiana N. Litvinova (2020). Dataset of development of business during the COVID-19 crisis [Dataset]. http://doi.org/10.17632/9vvrd34f8t.1
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    Dataset updated
    Nov 9, 2020
    Authors
    Tatiana N. Litvinova
    License

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

    Description

    To create the dataset, the top 10 countries leading in the incidence of COVID-19 in the world were selected as of October 22, 2020 (on the eve of the second full of pandemics), which are presented in the Global 500 ranking for 2020: USA, India, Brazil, Russia, Spain, France and Mexico. For each of these countries, no more than 10 of the largest transnational corporations included in the Global 500 rating for 2020 and 2019 were selected separately. The arithmetic averages were calculated and the change (increase) in indicators such as profitability and profitability of enterprises, their ranking position (competitiveness), asset value and number of employees. The arithmetic mean values of these indicators for all countries of the sample were found, characterizing the situation in international entrepreneurship as a whole in the context of the COVID-19 crisis in 2020 on the eve of the second wave of the pandemic. The data is collected in a general Microsoft Excel table. Dataset is a unique database that combines COVID-19 statistics and entrepreneurship statistics. The dataset is flexible data that can be supplemented with data from other countries and newer statistics on the COVID-19 pandemic. Due to the fact that the data in the dataset are not ready-made numbers, but formulas, when adding and / or changing the values in the original table at the beginning of the dataset, most of the subsequent tables will be automatically recalculated and the graphs will be updated. This allows the dataset to be used not just as an array of data, but as an analytical tool for automating scientific research on the impact of the COVID-19 pandemic and crisis on international entrepreneurship. The dataset includes not only tabular data, but also charts that provide data visualization. The dataset contains not only actual, but also forecast data on morbidity and mortality from COVID-19 for the period of the second wave of the pandemic in 2020. The forecasts are presented in the form of a normal distribution of predicted values and the probability of their occurrence in practice. This allows for a broad scenario analysis of the impact of the COVID-19 pandemic and crisis on international entrepreneurship, substituting various predicted morbidity and mortality rates in risk assessment tables and obtaining automatically calculated consequences (changes) on the characteristics of international entrepreneurship. It is also possible to substitute the actual values identified in the process and following the results of the second wave of the pandemic to check the reliability of pre-made forecasts and conduct a plan-fact analysis. The dataset contains not only the numerical values of the initial and predicted values of the set of studied indicators, but also their qualitative interpretation, reflecting the presence and level of risks of a pandemic and COVID-19 crisis for international entrepreneurship.

  11. T

    United States Corporate Profits

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 26, 2025
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    TRADING ECONOMICS (2025). United States Corporate Profits [Dataset]. https://tradingeconomics.com/united-states/corporate-profits
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jun 26, 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
    Mar 31, 1947 - Jun 30, 2025
    Area covered
    United States
    Description

    Corporate Profits in the United States increased to 3266.20 USD Billion in the second quarter of 2025 from 3203.60 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. Nonemployer Statistics (NES) 2019

    • covid19-uscensus.hub.arcgis.com
    • hub.arcgis.com
    Updated Dec 22, 2022
    + more versions
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    US Census Bureau (2022). Nonemployer Statistics (NES) 2019 [Dataset]. https://covid19-uscensus.hub.arcgis.com/maps/6e8bad8b592d459c9c042b8bfb845ed1
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    Dataset updated
    Dec 22, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows data on the number of establishments and revenue for select 2-digit North American Industry Classification System (NAICS) sectors and for NAICS 00, All Sectors. This is shown by county and state boundaries. The full NES data set (available at census.gov) is updated annually to contain the most currently released NES data, and contains estimates and measure of reliability. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.Current Vintage: 2019CBP Table: NS1900NESData downloaded from: Census Bureau's API for Nonemployer StatisticsDate of API call: December 19, 2022National Figures: data.census.govThe United States Census Bureau's Nonemployer Statistics Program (NES):About this ProgramDataTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and NES when using this data.Data Processing Notes:Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 51 records - all US states, Washington D.C..Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov or Census Business Builder for more details on these withheld records.Data shown in thousands of dollars are indicated by '($1000)' in the field aliasing. Average and Totals include NAICS 11.

  13. 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
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    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.

  14. T

    United States - Revenue from Businesses for Data Processing, Hosting, and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 25, 2020
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    TRADING ECONOMICS (2020). United States - Revenue from Businesses for Data Processing, Hosting, and Related Services, Establishments Subject to Federal Income Tax [Dataset]. https://tradingeconomics.com/united-states/revenues-from-business-for-data-processing-hosting-and-related-services-establishments-subject-to-federal-income-tax-fed-data.html
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    Nov 25, 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 - Revenue from Businesses for Data Processing, Hosting, and Related Services, Establishments Subject to Federal Income Tax was 45100.00000 Mil. of $ in July of 2019, according to the United States Federal Reserve. Historically, United States - Revenue from Businesses for Data Processing, Hosting, and Related Services, Establishments Subject to Federal Income Tax reached a record high of 45100.00000 in July of 2019 and a record low of 12005.00000 in January of 2004. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Revenue from Businesses for Data Processing, Hosting, and Related Services, Establishments Subject to Federal Income Tax - last updated from the United States Federal Reserve on July of 2025.

  15. 2019 Economic Surveys: AB1900CSA02 | Annual Business Survey: Years in...

    • data.census.gov
    Updated Oct 28, 2021
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    ECN (2021). 2019 Economic Surveys: AB1900CSA02 | Annual Business Survey: Years in Business Statistics for Employer Firms by Sector, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2019 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2019.AB1900CSA02?q=31-33:+Manufacturing&y=2019
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    Dataset updated
    Oct 28, 2021
    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
    2019
    Area covered
    United States
    Description

    Release Date: 2021-10-28.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY21-289)...Release Schedule:.Data in this file come from estimates of business ownership by sex, ethnicity, race, and veteran status from the 2020 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2020 ABS collection year produces statistics for the 2019 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Employment reflects the number of paid employees during the pay period in the reference year that included March 12...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...The data are also shown for the number of years the firm has been in operation:.Years in Business:. Firms with less than 2 years in business. Firms with 2 to 3 years in business. Firms with 4 to 5 years in business. Firms with 6 to 10 years in business. Firms with 11 to 15 years in business. Firms with 16 or more years in business. ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for businesses owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subgroup total because a Hispanic or Latino firm may be of any race, and because a firm could be tabulated in more than one racial group. For example, if a firm responded as both Chinese and Black majority owned, the firm would be included in the detailed Asian and Black estimates but would only be counted once toward the higher level all firms' estimates.. References such as "Hispanic- or Latino-owned" businesses refer only to businesses operating in the 50 states and the District of Columbia that self-identified 51 percent or more of their ownership in 2019 to be by individuals of Mexican, Puerto Rican, Cuban or other Hispanic or Latino origin. The ABS does not distinguish between U.S. residents and nonresidents. Companies owned by foreign governments or owned by other companies, foreign or domestic, are included in the category "Unclassifiable."...Industry and Geography Coverage:.The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas...Data are also shown for the 3-digit NAICS code for:..United States...For more information about NAICS, see NAICS Codes & Understanding Industry Classificati...

  16. T

    Ease of Doing Business in United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 24, 2015
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    TRADING ECONOMICS (2015). Ease of Doing Business in United States [Dataset]. https://tradingeconomics.com/united-states/ease-of-doing-business
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jun 24, 2015
    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, 2008 - Dec 31, 2019
    Area covered
    United States
    Description

    The United States is ranked 6 among 190 economies in the ease of doing business, according to the latest World Bank annual ratings. The rank of the United States improved to 6 in 2019 from 8 in 2018. This dataset includes a chart with historical data for Ease of Doing Business in the United States.

  17. U.S. Facebook data requests from government agencies 2013-2023

    • statista.com
    • es.statista.com
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    Stacy Jo Dixon, U.S. Facebook data requests from government agencies 2013-2023 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Facebook received 73,390 user data requests from federal agencies and courts in the United States during the second half of 2023. The social network produced some user data in 88.84 percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.

  18. 2019 Economic Surveys: AB1900CSA01 | Annual Business Survey: Statistics for...

    • data.census.gov
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    ECN, 2019 Economic Surveys: AB1900CSA01 | Annual Business Survey: Statistics for Employer Firms by Industry, Sex, Ethnicity, Race, and Veteran Status for the U.S., States, and Metro Areas: 2019 (ECNSVY Annual Business Survey Company Summary) [Dataset]. https://data.census.gov/table/ABSCS2019.AB1900CSA01?q=3+Way+Construction+Inc
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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
    2019
    Area covered
    United States
    Description

    Release Date: 2021-10-28.The Census Bureau has reviewed this data product for unauthorized disclosure of confidential information and has approved the disclosure avoidance practices applied (Approval ID: CBDRB-FY21-289)...Release Schedule:.Data in this file come from estimates of business ownership by sex, ethnicity, race, and veteran status from the 2020 Annual Business Survey (ABS) collection. Data are also obtained from administrative records, the 2017 Economic Census, and other economic surveys...Note: The collection year is the year in which the data are collected. A reference year is the year that is referenced in the questions on the survey and in which the statistics are tabulated. For example, the 2020 ABS collection year produces statistics for the 2019 reference year. The "Year" column in the table is the reference year...For more information about ABS planned data product releases, see Tentative ABS Schedule...Key Table Information:.The data include U.S. firms with paid employees operating during the reference year with receipts of $1,000 or more, which are classified in the North American Industry Classification System (NAICS), Sectors 11 through 99, except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered. Employer firms with more than one domestic establishment are counted in each geographic area and industry in which they operate, but only once in the U.S. and state totals for all sectors. Employment reflects the number of paid employees during the pay period in the reference year that included March 12...Data Items and Other Identifying Records:.Data include estimates on:.Number of employer firms (firms with paid employees). Sales and receipts of employer firms (reported in $1,000s of dollars). Number of employees (during the March 12 pay period). Annual payroll (reported in $1,000s of dollars)...These data are aggregated by the following demographic classifications of firm for:.All firms. Classifiable (firms classifiable by sex, ethnicity, race, and veteran status). . Sex. Female. Male. Equally male/female. . Ethnicity. Hispanic. Equally Hispanic/non-Hispanic. Non-Hispanic. . Race. White. Black or African American. American Indian and Alaska Native. Asian. Native Hawaiian and Other Pacific Islander. Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White). Equally minority/nonminority. Nonminority (Firms classified as non-Hispanic and White). . Veteran Status (defined as having served in any branch of the U.S. Armed Forces). Veteran. Equally veteran/nonveteran. Nonveteran. . . . Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status). ...Data Notes:.. Business ownership is defined as having 51 percent or more of the stock or equity in the business. Data are provided for businesses owned equally (50% / 50%) by men and women, by Hispanics and non-Hispanics, by minorities and nonminorities, and by veterans and nonveterans. Firms not classifiable by sex, ethnicity, race, and veteran status are counted and tabulated separately.. The detail may not add to the total or subgroup total because a Hispanic or Latino firm may be of any race, and because a firm could be tabulated in more than one racial group. For example, if a firm responded as both Chinese and Black majority owned, the firm would be included in the detailed Asian and Black estimates but would only be counted once toward the higher level all firms' estimates.. References such as "Hispanic- or Latino-owned" businesses refer only to businesses operating in the 50 states and the District of Columbia that self-identified 51 percent or more of their ownership in 2019 to be by individuals of Mexican, Puerto Rican, Cuban or other Hispanic or Latino origin. The ABS does not distinguish between U.S. residents and nonresidents. Companies owned by foreign governments or owned by other companies, foreign or domestic, are included in the category "Unclassifiable."...Industry and Geography Coverage:..The data are shown for the total for all sectors (00) and 2-digit NAICS code levels for:..United States. States and the District of Columbia. Metropolitan Statistical Areas...Data are also shown for the 3-digit NAICS code for:..United States. States and the District of Columbia...For more information about NAICS, see NAICS Codes & Understanding Industry Classification Systems. For information about geographies used by economic programs at the Census Bureau, see Economic Census: Economic Geographies...Footnotes:.Footnote 660 - Agriculture, forestry, fishing and hunting (Sector 11): Crop and Animal Production (NAICS 111 and 112) are out of scope..Footnote 661 - Transportation and warehousing (Secto...

  19. Small Business Lending in the United States-2020

    • catalog.data.gov
    • datasets.ai
    Updated May 4, 2023
    + more versions
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    Small Business Administration (2023). Small Business Lending in the United States-2020 [Dataset]. https://catalog.data.gov/dataset/small-business-lending-in-the-united-states-2020-97feb
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    Dataset updated
    May 4, 2023
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    Area covered
    United States
    Description

    Advocacy’s small business lending report examines FDIC data to determine the state of bank lending to small businesses. This report, which analyzes loan data from June 2019 to June 2020, examines the small business lending market at the beginning of the COVID-19 pandemic. Small business loans (loans below $1 million) increased by nearly 40% from 2019 to 2020, largely due to the newly enacted Paycheck Protection Program. Alongside the report, the appendix tables provide bank level detail of small business lending activity and breakdowns at the state level.

  20. U

    United States Business Uncertainty: Employment Growth: Unsmoothed

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States Business Uncertainty: Employment Growth: Unsmoothed [Dataset]. https://www.ceicdata.com/en/united-states/business-uncertainty-index/business-uncertainty-employment-growth-unsmoothed
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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
    Oct 1, 2019 - Sep 1, 2020
    Area covered
    United States
    Variables measured
    Economic Outlook Survey
    Description

    United States Business Uncertainty: Employment Growth: Unsmoothed data was reported at 0.054 % in Sep 2020. This records a decrease from the previous number of 0.059 % for Aug 2020. United States Business Uncertainty: Employment Growth: Unsmoothed data is updated monthly, averaging 0.040 % from Sep 2016 (Median) to Sep 2020, with 49 observations. The data reached an all-time high of 0.065 % in May 2020 and a record low of 0.035 % in Jan 2019. United States Business Uncertainty: Employment Growth: Unsmoothed data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S018: Business Uncertainty Index.

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Statista (2024). Number of U.S. data breaches 2013-2019, by industry [Dataset]. https://www.statista.com/statistics/273572/number-of-data-breaches-in-the-united-states-by-business/
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Number of U.S. data breaches 2013-2019, by industry

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 9, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The statistic shows the number of data breaches in the United States from 2013 to 2019, by industry. In the last measured period, the majority of the 1,473 annual data breaches affected business and medical or healthcare organizations, with 644 and 525 data breaches respectively.

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