100+ datasets found
  1. 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

  2. F

    Average Hourly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Average Hourly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000003
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to May 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

  3. F

    Expenditures: Total Average Annual Expenditures by Occupation: Total Wage...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Expenditures: Total Average Annual Expenditures by Occupation: Total Wage and Salary Earners [Dataset]. https://fred.stlouisfed.org/series/CXUTOTALEXPLB1203M
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    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

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

    Description

    Graph and download economic data for Expenditures: Total Average Annual Expenditures by Occupation: Total Wage and Salary Earners (CXUTOTALEXPLB1203M) from 1984 to 2023 about occupation, salaries, average, expenditures, wages, and USA.

  4. Quarterly Census of Employment and Wages (QCEW)

    • catalog.data.gov
    • data.ca.gov
    Updated Nov 27, 2024
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    California Employment Development Department (2024). Quarterly Census of Employment and Wages (QCEW) [Dataset]. https://catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-qcew-a6fea
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Description

    The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

  5. 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.

  6. F

    Employed full time: Wage and salary workers: Bakers occupations: 16 years...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Bakers occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254513600A
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    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: Bakers occupations: 16 years and over (LEU0254513600A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  7. F

    Employed full time: Wage and salary workers: 16 years and over

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
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    (2025). Employed full time: Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254466800Q
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    jsonAvailable download formats
    Dataset updated
    Apr 16, 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: 16 years and over (LEU0254466800Q) from Q1 1979 to Q1 2025 about full-time, salaries, workers, 16 years +, wages, employment, and USA.

  8. F

    Average Hourly Earnings of All Employees, Construction

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Average Hourly Earnings of All Employees, Construction [Dataset]. https://fred.stlouisfed.org/series/CES2000000003
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of All Employees, Construction (CES2000000003) from Mar 2006 to May 2025 about earnings, establishment survey, hours, construction, wages, employment, and USA.

  9. F

    Employment Cost Index: Wages and salaries for All Civilian workers in...

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
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    (2025). Employment Cost Index: Wages and salaries for All Civilian workers in Goods-producing industries [Dataset]. https://fred.stlouisfed.org/series/CIU102G000000000I
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    jsonAvailable download formats
    Dataset updated
    Apr 30, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Wages and salaries for All Civilian workers in Goods-producing industries (CIU102G000000000I) from Q1 2001 to Q1 2025 about ECI, salaries, workers, civilian, wages, goods, industry, and USA.

  10. F

    Employment Level - Nonagriculture, Wage and Salary Workers

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Employment Level - Nonagriculture, Wage and Salary Workers [Dataset]. https://fred.stlouisfed.org/series/LNU02032187
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

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

    Description

    Graph and download economic data for Employment Level - Nonagriculture, Wage and Salary Workers (LNU02032187) from Jan 1948 to May 2025 about nonagriculture, salaries, workers, 16 years +, wages, household survey, employment, and USA.

  11. F

    Average Hourly Earnings of Production and Nonsupervisory Employees,...

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Average Hourly Earnings of Production and Nonsupervisory Employees, Construction [Dataset]. https://fred.stlouisfed.org/series/AHECONS
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Construction (AHECONS) from Jan 1947 to May 2025 about nonsupervisory, earnings, establishment survey, hours, construction, wages, production, employment, and USA.

  12. F

    Employed full time: Wage and salary workers: Waiters and waitresses...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Waiters and waitresses occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254493400A
    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: Waiters and waitresses occupations: 16 years and over (LEU0254493400A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  13. F

    Average Weekly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Average Weekly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000011
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

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

    Description

    Graph and download economic data for Average Weekly Earnings of All Employees, Total Private (CES0500000011) from Mar 2006 to May 2025 about earnings, establishment survey, private, employment, and USA.

  14. F

    Employment Cost Index: Wages and salaries for Private industry workers in...

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
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    (2025). Employment Cost Index: Wages and salaries for Private industry workers in Transportation and warehousing [Dataset]. https://fred.stlouisfed.org/series/CIS2024300000000I
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    jsonAvailable download formats
    Dataset updated
    Apr 30, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Wages and salaries for Private industry workers in Transportation and warehousing (CIS2024300000000I) from Q1 2003 to Q1 2025 about ECI, warehousing, salaries, workers, transportation, private industries, wages, private, industry, and USA.

  15. F

    Employed full time: Median usual weekly real earnings: Wage and salary...

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
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    (2025). Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over: White: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0252884000Q
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    jsonAvailable download formats
    Dataset updated
    Apr 16, 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: Median usual weekly real earnings: Wage and salary workers: 16 years and over: White: Men (LEU0252884000Q) from Q1 2000 to Q1 2025 about full-time, males, salaries, workers, earnings, white, 16 years +, wages, median, real, employment, and USA.

  16. F

    Average Hourly Earnings of Production and Nonsupervisory Employees, Total...

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/AHETPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private (AHETPI) from Jan 1964 to May 2025 about nonsupervisory, headline figure, earnings, average, establishment survey, hours, wages, production, private, employment, and USA.

  17. F

    Employed full time: Wage and salary workers: Millwrights occupations: 16...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Millwrights occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254511600A
    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: Millwrights occupations: 16 years and over (LEU0254511600A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  18. F

    Employment Cost Index: Wages and Salaries: Private Industry Workers

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
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    (2025). Employment Cost Index: Wages and Salaries: Private Industry Workers [Dataset]. https://fred.stlouisfed.org/series/ECIWAG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 30, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q1 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

  19. F

    Income Before Taxes: Wages and Salaries by Income Before Taxes: $30,000 to...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Income Before Taxes: Wages and Salaries by Income Before Taxes: $30,000 to $39,999 [Dataset]. https://fred.stlouisfed.org/series/CXU900000LB0207M
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    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

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

    Description

    Graph and download economic data for Income Before Taxes: Wages and Salaries by Income Before Taxes: $30,000 to $39,999 (CXU900000LB0207M) from 1984 to 2023 about salaries, tax, wages, income, and USA.

  20. F

    Employed full time: Usual weekly nominal earnings (first decile): Wage and...

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Employed full time: Usual weekly nominal earnings (first decile): Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0252911200Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 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: Usual weekly nominal earnings (first decile): Wage and salary workers: 16 years and over (LEU0252911200Q) from Q1 2000 to Q1 2025 about first decile, full-time, salaries, workers, earnings, 16 years +, wages, employment, and USA.

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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:
15 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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