100+ datasets found
  1. Occupational Outlook Handbook

    • catalog.data.gov
    • gimi9.com
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Occupational Outlook Handbook [Dataset]. https://catalog.data.gov/dataset/occupational-outlook-handbook-51009
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Occupational Outlook Handbook (OOH) is a nationally recognized source of career information, designed to provide valuable assistance to individuals making decisions about their future work lives. The Handbook is revised every two years. The OOH offers information on the hundreds of occupations that provide the majority of jobs in the United States. Each occupational profile describes the typical duties performed by the occupation, the work environment of that occupation, the typical education and training needed to enter the occupation, the median pay for workers in the occupation, and the job outlook over the coming decade for that occupation. For information on occupations, please visit: https://www.bls.gov/ooh/

  2. Occupational Employment and Wage Statistics (OEWS)

    • data.ca.gov
    csv
    Updated Mar 18, 2025
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    California Employment Development Department (2025). Occupational Employment and Wage Statistics (OEWS) [Dataset]. https://data.ca.gov/dataset/oews
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    csv(99055393)Available download formats
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Authors
    California Employment Development Department
    License

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

    Description

    The Occupational Employment and Wage Statistics (OEWS) Survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). The BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OEWS survey make these estimates possible.

    The OEWS survey collects data from a sample of establishments and calculates employment and wage estimates by occupation, industry, and geographic area. The semiannual survey covers all non-farm industries. Data are collected by the Employment Development Department in cooperation with the Bureau of Labor Statistics, US Department of Labor. The OEWS Program estimates employment and wages for approximately 830 occupations. It also produces employment and wage estimates for statewide, Metropolitan Statistical Areas (MSAs), and Balance of State areas. Estimates are a snapshot in time and should not be used as a time series.

    The OEWS estimates are published annually.

    SOURCE: https://www.bls.gov/oes/oes_emp.htm

  3. Employment Projections

    • catalog.data.gov
    • data.wu.ac.at
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Employment Projections [Dataset]. https://catalog.data.gov/dataset/employment-projections-c37a6
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Employment Projections (EP) program develops information about the labor market for the Nation as a whole for 10 years in the future. For more information visit: https://www.bls.gov/emp/

  4. Employer Cost for Employee Compensation

    • datasets.ai
    • s.cnmilf.com
    • +4more
    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
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    21Available download formats
    Dataset updated
    Oct 8, 2024
    Dataset provided by
    United States Department of Laborhttp://www.dol.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/

  5. Bureau of Labor Statistics Monthly Unemployment (latest 14 months)

    • coronavirus-resources.esri.com
    • covid-hub.gio.georgia.gov
    • +10more
    Updated Aug 16, 2022
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    Esri (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) [Dataset]. https://coronavirus-resources.esri.com/maps/993b8c64a67a4c6faa44a91846547786
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values.The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: March 2025 (preliminary values at the county level)The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: May 21st, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS's county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2023 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties.To better understand the different labor force statistics included in this map, see the diagram below from BLS:

  6. Occupational Employment and Wage Statistics (OES)

    • catalog.data.gov
    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

  7. O

    Employment and Labor Force - Annual

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    application/rdfxml +5
    Updated Sep 4, 2020
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    Economic Development (2020). Employment and Labor Force - Annual [Dataset]. https://data.mesaaz.gov/w/f7ya-r76p/c963-au5t?cur=oetlSrk2gRl&from=NaEb7sJujwV
    Explore at:
    application/rssxml, csv, tsv, xml, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Sep 4, 2020
    Dataset authored and provided by
    Economic Development
    Description

    Historical information on the Employment Dataset shows several current and historical annual statistics regarding population, the labor force, employment and unemployment in the City of Mesa. Monthly labor force, employment and unemployment information is at https://citydata.mesaaz.gov/External-Data/Employment-and-Labor-Force-Monthly/3vbg-xf63.

    Sources: Population Data - United States Census Bureau -https://www.census.gov/topics/population/data.html Employment Data - Bureau of Labor Statistics - http://www.bls.gov/data/ Local Area Unemployment Statistics (LAUS) - https://www.bls.gov/lau/ To see how these terms are defined and what they include, please visit the Terms Glossary from the United State Department of Labor’s Bureau of Labor Statistics (BLS), which can be found at the following web address: http://www.bls.gov/bls/glossary.htm

  8. Employment Cost Index

    • db.nomics.world
    Updated May 1, 2025
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    DBnomics (2025). Employment Cost Index [Dataset]. https://db.nomics.world/BLS/ci
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    DBnomics
    Description

    The Employment Cost Index (ECI) measures the change in the cost of labor, free from the influence of employment shifts among occupations and industries. The total compensation series includes changes in wages and salaries and in employer costs for employee benefits.

  9. 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
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    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.

  10. Employment, Hours, and Earnings - National

    • db.nomics.world
    Updated Jun 7, 2025
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    DBnomics (2025). Employment, Hours, and Earnings - National [Dataset]. https://db.nomics.world/BLS/ce
    Explore at:
    Dataset updated
    Jun 7, 2025
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    DBnomics
    Description

    The Current Employment Statistics (CES) program provides estimates of employment, hours, and earnings information on a national basis and in considerable industry detail. The Bureau of Labor Statistics collects payroll data each month from a sample of business and government establishments in all nonfarm activities.

  11. 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
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    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
  12. Employment and Labor Force - Monthly

    • citydata.mesaaz.gov
    • data.mesaaz.gov
    application/rdfxml +5
    Updated Jun 1, 2025
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    Bureau of Labor Statistics (2025). Employment and Labor Force - Monthly [Dataset]. https://citydata.mesaaz.gov/Economic-Development/Employment-and-Labor-Force-Monthly/3vbg-xf63
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    json, application/rssxml, xml, tsv, csv, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    Monthly statistics regarding the labor force, employment and unemployment in Mesa and nearby municipalities. Unemployment rate sourced at BLS.gov Data Viewer. Employment Data - Bureau of Labor Statistics - http://www.bls.gov/data/ Local Area Unemployment Statistics (LAUS) - https://www.bls.gov/lau/ (See for next data release dates). To see how these terms are defined and what they include, please visit the Terms Glossary from the United State Department of Labor’s Bureau of Labor Statistics (BLS), which can be found at the following web address: http://www.bls.gov/bls/glossary.htm

  13. d

    BLS Jobs by Industry Category

    • catalog.data.gov
    • opendata.maryland.gov
    • +4more
    Updated Nov 29, 2021
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    opendata.maryland.gov (2021). BLS Jobs by Industry Category [Dataset]. https://catalog.data.gov/dataset/bls-jobs-by-industry-category
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    Dataset updated
    Nov 29, 2021
    Dataset provided by
    opendata.maryland.gov
    Description

    Data from the Bureau of Labor Statistics (BLS) Current Employment Statistics (CES) program. CES data represents businesses and government agencies, providing detailed industry data on employment on nonfarm payrolls.

  14. American Time Use Survey

    • datasets.ai
    • catalog.data.gov
    21
    Updated Sep 11, 2024
    + more versions
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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
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    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/

  15. d

    Quarterly Census Employment and Wage - Footnote.

    • datadiscoverystudio.org
    • data.amerigeoss.org
    • +1more
    Updated Jun 1, 2017
    + more versions
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    (2017). Quarterly Census Employment and Wage - Footnote. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8e8ae1491fd4461bae4193ef51dfe6b6/html
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    Dataset updated
    Jun 1, 2017
    Description

    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; abstract: 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

  16. Employment, Hours, and Earnings - State and Metro Area

    • db.nomics.world
    Updated May 22, 2025
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    DBnomics (2025). Employment, Hours, and Earnings - State and Metro Area [Dataset]. https://db.nomics.world/BLS/sm
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    DBnomics
    Description

    The Current Employment Statistics survey, as a joint Federal-State undertaking, generates State and area, as well as national, statistics on employment, hours, and earnings.

  17. Weekly & Hourly Earnings

    • db.nomics.world
    Updated Apr 17, 2025
    + more versions
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    DBnomics (2025). Weekly & Hourly Earnings [Dataset]. https://db.nomics.world/BLS/le
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    Dataset updated
    Apr 17, 2025
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    DBnomics
    Description

    The Current Population Survey (CPS) is a sample survey of the population 16 years of age and over. The survey is conducted each month by the U.S. Census Bureau for the Bureau of Labor Statistics and provides comprehensive data on the labor force, the employed, and the unemployed, classified by such characteristics as age, sex, race, family relationship, marital status, occupation, and industry attachment

  18. A

    Current Population Survey (CPS) - LFST

    • data.amerigeoss.org
    api, html
    Updated Jul 30, 2019
    + more versions
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    United States (2019). Current Population Survey (CPS) - LFST [Dataset]. https://data.amerigeoss.org/km/dataset/current-population-survey-cps-lfst
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    api, htmlAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Current Population Survey (CPS) is a monthly survey of households conducted by the Bureau of Census for the Bureau of Labor Statistics. It provides a comprehensive body of data on the labor force, employment, unemployment, persons not in the labor force, hours of work, earnings, and other demographic and labor force characteristics.

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

  19. Modeled Wage Estimates

    • db.nomics.world
    Updated Aug 23, 2024
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    DBnomics (2024). Modeled Wage Estimates [Dataset]. https://db.nomics.world/BLS/wm
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    Dataset updated
    Aug 23, 2024
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    DBnomics
    Description

    The Occupational Employment Statistics (OES) and National Compensation Survey (NCS) programs have produced estimates by borrowing from the strength and breadth of each survey to provide more details on occupational wages than either program provides individually. Modeled wage estimates provide annual estimates of average hourly wages for occupations by selected job characteristics and within geographical location.

  20. A

    Current Employment Statistics - Employment, Hours, and Earnings - State and...

    • data.amerigeoss.org
    • catalog.data.gov
    html
    Updated Aug 25, 2022
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    United States (2022). Current Employment Statistics - Employment, Hours, and Earnings - State and Metro Area [Dataset]. https://data.amerigeoss.org/pt_PT/dataset/6bdd61d7-91ef-471b-a54f-0b84f2a019e4
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    htmlAvailable download formats
    Dataset updated
    Aug 25, 2022
    Dataset provided by
    United States
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Current Employment Statistics (CES) program produces detailed industry estimates of employment, hours, and earnings of workers on nonfarm payrolls. CES State and Metro Area produces data for all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, and about 450 metropolitan areas and divisions. Each month, CES surveys approximately 142,000 businesses and government agencies, representing 689,000 individual worksites.

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

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Bureau of Labor Statistics (2022). Occupational Outlook Handbook [Dataset]. https://catalog.data.gov/dataset/occupational-outlook-handbook-51009
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Occupational Outlook Handbook

Explore at:
Dataset updated
May 16, 2022
Dataset provided by
Bureau of Labor Statisticshttp://www.bls.gov/
Description

The Occupational Outlook Handbook (OOH) is a nationally recognized source of career information, designed to provide valuable assistance to individuals making decisions about their future work lives. The Handbook is revised every two years. The OOH offers information on the hundreds of occupations that provide the majority of jobs in the United States. Each occupational profile describes the typical duties performed by the occupation, the work environment of that occupation, the typical education and training needed to enter the occupation, the median pay for workers in the occupation, and the job outlook over the coming decade for that occupation. For information on occupations, please visit: https://www.bls.gov/ooh/

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