66 datasets found
  1. Occupational Employment and Wage Statistics (OES)

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Occupational Employment and Wage Statistics (OES) [Dataset]. https://catalog.data.gov/dataset/occupational-employment-and-wage-statistics-oes
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Occupational Employment and Wage Statistics (OES) program conducts a semi-annual survey to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates by geographic area and by industry. Estimates based on geographic areas are available at the National, State, Metropolitan, and Nonmetropolitan Area levels. The Bureau of Labor Statistics produces occupational employment and wage estimates for over 450 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and 5-digit North American Industry Classification System (NAICS) industrial groups. More information and details about the data provided can be found at http://www.bls.gov/oes

  2. F

    Employed full time: Wage and salary workers: Tool and die makers...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Tool and die makers occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254729100A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Tool and die makers occupations: 16 years and over: Women (LEU0254729100A) from 2000 to 2024 about tool, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  3. F

    Employed full time: Wage and salary workers: Tool grinders, filers, and...

    • fred.stlouisfed.org
    json
    Updated Jan 17, 2020
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    (2020). Employed full time: Wage and salary workers: Tool grinders, filers, and sharpeners occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254729600A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 17, 2020
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Tool grinders, filers, and sharpeners occupations: 16 years and over: Women (LEU0254729600A) from 2000 to 2019 about tool, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  4. Quarterly Census Employment and Wage (QCEW)

    • datasets.ai
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    0
    Updated Sep 17, 2024
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    U.S. Department of Labor Bureau of Labor Statistics (2024). Quarterly Census Employment and Wage (QCEW) [Dataset]. https://datasets.ai/datasets/quarterly-census-employment-and-wage-qcew-f4418
    Explore at:
    0Available download formats
    Dataset updated
    Sep 17, 2024
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Department of Labor Bureau of Labor Statistics
    Description

    The Quarterly Census of Employment and Wages (QCEW) program publishes a quarterly count of employment and wages reported by employers covering 98 percent of U.S. jobs, available at the county, MSA, state and national levels by industry.

    More information and details about the data provided can be found at http://www.bls.gov/cew

  5. Bureau of Labor Statistics (BLS) - Quarterly Census of Employment and Wages...

    • datalumos.org
    Updated Apr 15, 2025
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    United States Department of Labor. Bureau of Labor Statistics (2025). Bureau of Labor Statistics (BLS) - Quarterly Census of Employment and Wages (QCEW) [Dataset]. http://doi.org/10.3886/E226867V1
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    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, 1975 - Dec 31, 2024
    Description

    The Quarterly Census of Employment and Wages (QCEW) program provides several different types of data files. These files are available for download. Data classified using the North American Industry Classification System (NAICS) are available from 1990 forward [in this archived dataset, through 2024], and on a more limited basis from 1975 to 1989. NAICS-based data files from 1990 to 2000 were re-constructed from data classified under the Standard Industrial Classification (SIC) system. NAICS-based data files from 1975 to 1989 contain only totals by-ownership. NAICS data can be downloaded from the NAICS-Based Data Files table below.Data classified using the Standard Industrial Classification (SIC) system is available from 1975 through 2000. SIC data can be downloaded from the second table below titled SIC-Based Data Files.

  6. F

    Employed full time: Wage and salary workers: Multiple machine tool setters,...

    • fred.stlouisfed.org
    json
    Updated Jan 17, 2020
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    (2020). Employed full time: Wage and salary workers: Multiple machine tool setters, operators, and tenders, metal and plastic occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254622200A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 17, 2020
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Multiple machine tool setters, operators, and tenders, metal and plastic occupations: 16 years and over: Men (LEU0254622200A) from 2000 to 2019 about tool, machines, operating, occupation, plastics, males, full-time, salaries, workers, metals, 16 years +, wages, employment, and USA.

  7. National Compensation Survey - Modeled Wage Estimates

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). National Compensation Survey - Modeled Wage Estimates [Dataset]. https://catalog.data.gov/dataset/national-compensation-survey-modeled-wage-estimates-5de7e
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The National Compensation Survey (NCS) program produces information on wages by occupation for many metropolitan areas.The Modeled Wage Estimates (MWE) provide annual estimates of average hourly wages for occupations by selected job characteristics and within geographical location. The job characteristics include bargaining status (union and nonunion), part- and full-time work status, incentive- and time-based pay, and work levels by occupation. The modeled wage estimates are produced using a statistical procedure that combines survey data collected by the National Compensation Survey (NCS) and the Occupational Employment Statistics (OES) programs. Borrowing from the strengths of the NCS, information on job characteristics and work levels, and from the OES, the occupational and geographic detail, the modeled wage estimates provide more detail on occupational average hourly wages than either program is able to provide separately. Wage rates for different work levels within occupation groups also are published. Data are available for private industry, State and local governments, full-time workers, part-time workers, and other workforce characteristics.

  8. Current Population Survey (CPS) - Weekly and Hourly Earnings

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 16, 2022
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    U.S. Department of Labor Bureau of Labor Statistics (2022). Current Population Survey (CPS) - Weekly and Hourly Earnings [Dataset]. https://catalog.data.gov/dataset/current-population-survey-cps-weekly-and-hourly-earnings-8d283
    Explore at:
    Dataset updated
    May 16, 2022
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Current Population Survey (CPS) is a monthly survey of households conducted by the Bureau of Census for the Bureau of Labor Statistics. The earnings data are collected from one-fourth of the CPS total sample of approximately 60,000 households. Data measures usual hourly and weekly earnings of wage and salary workers. All self-employed persons are excluded, regardless of whether their businesses are incorporated. Data represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received. Earnings data are available for all workers, by age, race, Hispanic or Latino ethnicity, sex, occupation, usual full- or part-time status, educational attainment, and other characteristics. Data are published quarterly. More information and details about the data provided can be found at http://www.bls.gov/cps/earnings.htm

  9. Employer Cost for Employee Compensation

    • datasets.ai
    • datadiscoverystudio.org
    • +3more
    21
    Updated Oct 8, 2024
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    U.S. Department of Labor Bureau of Labor Statistics (2024). Employer Cost for Employee Compensation [Dataset]. https://datasets.ai/datasets/employer-cost-for-employee-compensation-e7a39
    Explore at:
    21Available download formats
    Dataset updated
    Oct 8, 2024
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Department of Labor Bureau of Labor Statistics
    Description

    The Employer Costs for Employee Compensation (ECEC) is a measure of the cost of labor. The compensation series includes wages and salaries plus employer costs for individual employee benefits. Employee benefit costs are calculated as cents-per-hour-worked for individual benefits ranging from employer payments for Social Security to paid time off for holidays. The survey covers all occupations in the civilian economy, which includes the total private economy (excluding farms and households), and the public sector (excluding the Federal government). Statistics are published for the private and public sectors separately, and the data are combined in a measure for the civilian economy.

    For information and data, visit: https://www.bls.gov/ncs/ect/

  10. Industry Productivity Viewer BLS

    • datalumos.org
    Updated Apr 24, 2025
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    United States Department of Labor. Bureau of Labor Statistics (2025). Industry Productivity Viewer BLS [Dataset]. http://doi.org/10.3886/E227666V1
    Explore at:
    Dataset updated
    Apr 24, 2025
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

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

    Description
  11. USA Bureau of Labor Statistics

    • kaggle.com
    zip
    Updated Aug 30, 2019
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    US Bureau of Labor Statistics (2019). USA Bureau of Labor Statistics [Dataset]. https://www.kaggle.com/bls/bls
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    zip(0 bytes)Available download formats
    Dataset updated
    Aug 30, 2019
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    US Bureau of Labor Statistics
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The Bureau of Labor Statistics (BLS) is a unit of the United States Department of Labor. It is the principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics and serves as a principal agency of the U.S. Federal Statistical System. The BLS is a governmental statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the U.S. Congress, other Federal agencies, State and local governments, business, and labor representatives. Source: https://en.wikipedia.org/wiki/Bureau_of_Labor_Statistics

    Content

    Bureau of Labor Statistics including CPI (inflation), employment, unemployment, and wage data.

    Update Frequency: Monthly

    Querying BigQuery Tables

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:bls

    https://cloud.google.com/bigquery/public-data/bureau-of-labor-statistics

    Dataset Source: http://www.bls.gov/data/

    This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by Clark Young from Unsplash.

    Inspiration

    What is the average annual inflation across all US Cities? What was the monthly unemployment rate (U3) in 2016? What are the top 10 hourly-waged types of work in Pittsburgh, PA for 2016?

  12. Data from: Local Area Unemployment Statistics

    • datasets.ai
    • data.ct.gov
    • +2more
    21
    Updated Oct 6, 2024
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    U.S. Department of Labor Bureau of Labor Statistics (2024). Local Area Unemployment Statistics [Dataset]. https://datasets.ai/datasets/local-area-unemployment-statistics-47d02
    Explore at:
    21Available download formats
    Dataset updated
    Oct 6, 2024
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Department of Labor Bureau of Labor Statistics
    Description

    The Local Area Unemployment Statistics (LAUS) program is a federal-state cooperative effort which produces monthly estimates of produces monthly and annual employment, unemployment, and labor force data for approximately 7,000 areas including Census regions and divisions, States, counties, metropolitan areas, and many cities.

    For more information and data visit: https://www.bls.gov/lau/

  13. F

    Employed full time: Wage and salary workers: Database administrators...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254584200A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over: Men (LEU0254584200A) from 2000 to 2024 about administrative, occupation, males, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  14. National Longitudinal Surveys

    • datasets.ai
    • catalog.data.gov
    21
    Updated Aug 6, 2024
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    U.S. Department of Labor Bureau of Labor Statistics (2024). National Longitudinal Surveys [Dataset]. https://datasets.ai/datasets/national-longitudinal-surveys-f1b0f
    Explore at:
    21Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Department of Labor Bureau of Labor Statistics
    Description

    The National Longitudinal Surveys (NLS) are a set of surveys designed to gather information at multiple points in time on the labor market activities and other significant life events of several groups of men and women. For more than 4 decades, NLS data have served as an important tool for economists, sociologists, and other researchers.

    For more information and data visit: https://www.bls.gov/nls/

  15. M

    Vital Signs: Jobs by Industry (Location Quotient) – by county

    • open-data-demo.mtc.ca.gov
    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jul 11, 2019
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    (2019). Vital Signs: Jobs by Industry (Location Quotient) – by county [Dataset]. https://open-data-demo.mtc.ca.gov/widgets/tf93-mdd4
    Explore at:
    csv, xml, json, application/rssxml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 11, 2019
    Description

    VITAL SIGNS INDICATOR Jobs by Industry (EC1)

    FULL MEASURE NAME Employment by place of work by industry sector

    LAST UPDATED July 2019

    DESCRIPTION Jobs by industry refers to both the change in employment levels by industry and the proportional mix of jobs by economic sector. This measure reflects the changing industry trends that affect our region’s workers.

    DATA SOURCE Bureau of Labor Statistics: Current Employment Statistics 1990-2017 http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment by place of work and by industry. Industries are classified by their North American Industry Classification System (NAICS) code. Vital Signs aggregates employment into 11 industry sectors: Farm, Mining, Logging and Construction, Manufacturing, Trade, Transportation and Utilities, Information, Financial Activities, Professional and Business Services, Educational and Health Services, Leisure and Hospitality, Government, and Other. EDD counts all public-sector jobs under Government, including public transportation, public schools, and public hospitals. The Other category includes service jobs such as auto repair and hair salons and organizations such as churches and social advocacy groups. Employment in the technology sector are classified under three categories: Professional and Business Services, Information, and Manufacturing. The latter category includes electronic and computer manufacturing. For further details of typical firms found in each sector, refer to the 2012 NAICS Manual (http://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2012).

    The Bureau of Labor Statistics (BLS) provides industry estimates for non-Bay Area metro areas. Their main industry employment estimates, the Current Employment Survey and Quarterly Census of Employment and Wages, do not provide annual estimates of farm employment. To be consistent, the metro comparison evaluates nonfarm employment for all metro areas, including the Bay Area. Industry shares are thus slightly different for the Bay Area between the historical trend and metro comparison sections.

    The location quotient (LQ) is used to evaluate level of concentration or clustering of an industry within the Bay Area and within each county of the region. A location quotient greater than 1 means there is a strong concentration for of jobs in an industry sector. For the Bay Area, the LQ is calculated as the share of the region’s employment in a particular sector divided by the share of the nation’s employment in that same sector. Because BLS does not provide national farm estimates, note that there is no LQ for regional farm employment. For each county, the LQ is calculated as the share of the county’s employment in a particular sector divided by the share of the region’s employment in that same sector.

  16. American Time Use Survey

    • datasets.ai
    • catalog.data.gov
    21
    Updated Sep 11, 2024
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    U.S. Department of Labor Bureau of Labor Statistics (2024). American Time Use Survey [Dataset]. https://datasets.ai/datasets/american-time-use-survey-66559
    Explore at:
    21Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Department of Labor Bureau of Labor Statistics
    Description

    The American Time Use Survey (ATUS) provides nationally representative estimates of how, where, and with whom Americans spend their time, and is the only federal survey providing data on the full range of nonmarket activities, from childcare to volunteering.

    For more information visit https://www.bls.gov/tus/

  17. Iowa Unadjusted Monthly Employment Estimates

    • mydata.iowa.gov
    • s.cnmilf.com
    • +2more
    Updated Nov 9, 2024
    + more versions
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    U.S. Department of Labor, Bureau of Labor Statistics, Current Employment Statistics, Local Area Survey (2024). Iowa Unadjusted Monthly Employment Estimates [Dataset]. https://mydata.iowa.gov/Workforce/Iowa-Unadjusted-Monthly-Employment-Estimates/jh26-tcu5
    Explore at:
    csv, application/rssxml, tsv, application/rdfxml, xml, kml, kmz, application/geo+jsonAvailable download formats
    Dataset updated
    Nov 9, 2024
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Department of Labor, Bureau of Labor Statistics, Current Employment Statistics, Local Area Survey
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    Iowa
    Description

    This dataset provides employment, unemployment, labor force and unemployment rate monthly estimates for State of Iowa, Iowa counties, metropolitan statistical areas, and large cities within Iowa. Data has NOT been adjusted to eliminate the effect of intrayear variations which tend to occur during the same period on an annual basis. Data available beginning January 2020.

  18. Data from: Job Openings and Labor Turnover Survey

    • catalog.data.gov
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Job Openings and Labor Turnover Survey [Dataset]. https://catalog.data.gov/dataset/job-openings-and-labor-turnover-survey-ac52c
    Explore at:
    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Job Openings and Labor Turnover Survey (JOLTS) program provides national estimates of rates and levels for job openings, hires, and total separations. Total separations are further broken out into quits, layoffs and discharges, and other separations. Unadjusted counts and rates of all data elements are published by supersector and select sector based on the North American Industry Classification System (NAICS). The number of unfilled jobs—used to calculate the job openings rate—is an important measure of the unmet demand for labor. With that statistic, it is possible to paint a more complete picture of the U.S. labor market than by looking solely at the unemployment rate, a measure of the excess supply of labor. Information on labor turnover is valuable in the proper analysis and interpretation of labor market developments and as a complement to the unemployment rate. For more information and data visit: https://www.bls.gov/jlt/

  19. Data from: Consumer Expenditure Survey

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Consumer Expenditure Survey [Dataset]. https://catalog.data.gov/dataset/consumer-expenditure-survey-dbf32
    Explore at:
    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Consumer Expenditure Surveys (CE) program provides data on expenditures, income, and demographic characteristics of consumers in the United States. The CE program provides these data in tables, LABSTAT database, news releases, reports, and public use microdata files. CE data are collected by the Census Bureau for BLS in two surveys, the Interview Survey for major and/or recurring items and the Diary Survey for more minor or frequently purchased items. CE data are primarily used to revise the relative importance of goods and services in the market basket of the Consumer Price Index. The CE is the only Federal household survey to provide information on the complete range of consumers' expenditures and incomes. For more information and data, visit: https://www.bls.gov/cex/

  20. Iowa Monthly Employment Estimates

    • data.iowa.gov
    • mydata.iowa.gov
    application/rdfxml +5
    Updated Nov 9, 2024
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    U.S. Department of Labor, Bureau of Labor Statistics, Current Employment Statistics, Local Area Survey (2024). Iowa Monthly Employment Estimates [Dataset]. https://data.iowa.gov/Workforce/Iowa-Monthly-Employment-Estimates/bsat-afcb
    Explore at:
    xml, json, csv, tsv, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Nov 9, 2024
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Department of Labor, Bureau of Labor Statistics, Current Employment Statistics, Local Area Survey
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    Iowa
    Description

    This view contains seasonally adjusted monthly employment estimates for the State of Iowa.

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Bureau of Labor Statistics (2022). Occupational Employment and Wage Statistics (OES) [Dataset]. https://catalog.data.gov/dataset/occupational-employment-and-wage-statistics-oes
Organization logo

Occupational Employment and Wage Statistics (OES)

Explore at:
14 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 16, 2022
Dataset provided by
Bureau of Labor Statisticshttp://www.bls.gov/
Description

The Occupational Employment and Wage Statistics (OES) program conducts a semi-annual survey to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates by geographic area and by industry. Estimates based on geographic areas are available at the National, State, Metropolitan, and Nonmetropolitan Area levels. The Bureau of Labor Statistics produces occupational employment and wage estimates for over 450 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and 5-digit North American Industry Classification System (NAICS) industrial groups. More information and details about the data provided can be found at http://www.bls.gov/oes

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