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. U.S. worker distribution 2023, by gender and occupation

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. worker distribution 2023, by gender and occupation [Dataset]. https://www.statista.com/statistics/185515/distribution-of-full-time-wage-and-salary-employment/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, a total of 7.5 percent of the female wage workers in the United States were employed in sales or sales-related jobs. In that same year, only 1.1 percent of women worked in natural resources, construction, and maintenance occupations, compared to 16.2 percent of men. See the United States unemployment rate for further information.

  3. F

    Unemployment Rate - Sales and Related Occupations

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Unemployment Rate - Sales and Related Occupations [Dataset]. https://fred.stlouisfed.org/series/LNU04032220
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for Unemployment Rate - Sales and Related Occupations (LNU04032220) from Jan 2000 to Jun 2025 about occupation, 16 years +, sales, household survey, unemployment, rate, and USA.

  4. U.S. employment of native and foreign born workers 2023, by occupation

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). U.S. employment of native and foreign born workers 2023, by occupation [Dataset]. https://www.statista.com/statistics/1118942/employment-distribution-native-born-foreign-occupation-population-us/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, **** percent of the native born workforce in the United States was employed in professional and related occupations, compared to **** percent of the foreign born workforce employed in the same occupation. Foreign born workers were more likely to be found in the transportation and material moving occupations, construction and extraction occupations, healthcare support occupations, and building and grounds cleaning and maintenance occupations.

  5. U.S. unemployment rate 2025, by occupation

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). U.S. unemployment rate 2025, by occupation [Dataset]. https://www.statista.com/statistics/217782/unemployment-rate-in-the-united-states-by-occupation/
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    United States
    Description

    In February 2025, the unemployment rate for those aged 16 and over in the United States came to 4.5 percent. Service occupations had an unemployment rate of 6.3 percent in that month. The underemployment rate of the country can be accessed here and the monthly unemployment rate here. Unemployment by occupation in the U.S. The United States Bureau of Labor Statistics publish data on the unemployment situation within certain occupations in the United States on a monthly basis. According to latest data released from May 2023, transportation and material moving occupations experienced the highest level of unemployment that month, with a rate of around 5.6 percent. Second ranked was farming, fishing, and forestry occupations with a rate of 4.9 percent. Total (not seasonally adjusted) unemployment was reported at 3.6 percent in March 2023. Other data on the U.S. unemployment rate by industry and class of worker shows comparable results. It should be noted that the data were not seasonally adjusted to account for normal seasonal fluctuations in unemployment. The monthly unemployment by occupation data can be compared to the seasonally adjusted monthly unemployment rate. In March 2023, the seasonally adjusted unemployment rate was 3.5 percent, which was an increase from the previous month. The annual unemployment rate in 2022 was 3.6 percent, down from a high of 9.6 in 2010. Unemployment in the United States trended downward after the coronavirus pandemic, and is now experiencing consistently low rates - a sign of economic stability. Individuals who opt to leave the workforce and stop looking for employment are not included among the unemployed. The civilian labor force participation rate in the U.S. rose to 62.2 percent in 2022, down from 67.1 percent in 2000, before the financial crisis.

  6. Occupation, Salary and Likelihood of Automation

    • kaggle.com
    Updated May 24, 2020
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    Larxel (2020). Occupation, Salary and Likelihood of Automation [Dataset]. https://www.kaggle.com/andrewmvd/occupation-salary-and-likelihood-of-automation/activity
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 24, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Larxel
    Description

    About this Dataset

    This dataset combines automation probability data with a breakdown of the number of jobs and salary in each occupation by state within the USA. Automation probability was acquired from the work of Carl Benedikt Freyand Michael A. Osborne; State employment data is from the Bureau of Labor Statistics. Note that for simplicity of analysis, all jobs where data was not available or there were less than 10 employees were marked as zero.

    How to Cite this Dataset

    If you use this dataset in your research, please credit the authors.

    Salary Data

    @misc{u.s. bureau of labor statistics, title={Occupational Employment Statistics}, url={https://www.bls.gov/oes/current/oes_nat.htm}, journal={U.S. BUREAU OF LABOR STATISTICS}}

    Automation Data

    @article{frey_osborne_2017, title={The future of employment: How susceptible are jobs to computerisation?}, volume={114}, DOI={10.1016/j.techfore.2016.08.019}, journal={Technological Forecasting and Social Change}, author={Frey, Carl Benedikt and Osborne, Michael A.}, year={2017}, pages={254–280}}

    License

    License was not specified at the source.

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    Photo by Alex Knight on Unsplash

  7. 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
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    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/

  8. U.S. civilian labor force seasonally adjusted 2022-2024

    • statista.com
    Updated Oct 15, 2022
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    Statista (2022). U.S. civilian labor force seasonally adjusted 2022-2024 [Dataset]. https://www.statista.com/statistics/193953/seasonally-adjusted-monthly-civilian-labor-force-in-the-us/
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    Dataset updated
    Oct 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Oct 2024
    Area covered
    United States
    Description

    In October 2024, the civilian labor force amounted to 168.48 million people in the United States. The term civilian labor force is used by the U.S. Bureau of Labor Statistics (BLS) to describe the subset of Americans who have jobs or are seeking a job, are at least 16 years old, are not serving in the military, and are not institutionalized.

  9. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Logging workers occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254718600A
    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: Logging workers occupations: 16 years and over: Women (LEU0254718600A) from 2000 to 2024 about logging, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  10. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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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.

  11. F

    Employed full time: Wage and salary workers: Computer operators occupations:...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Computer operators occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254609700A
    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: Computer operators occupations: 16 years and over: Men (LEU0254609700A) from 2000 to 2024 about operating, computers, occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

  12. U.S. percentage of minimum wage workers 2023, by occupation

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). U.S. percentage of minimum wage workers 2023, by occupation [Dataset]. https://www.statista.com/statistics/299368/percentage-of-us-minimum-wage-workers-by-occupation/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    This statistic shows the percentage of workers paid hourly rates at or below the prevailing federal minimum wage in the United States in 2023, according to their occupational group. In 2023, around *** percent of total hourly paid workers in food preparation and service related occupations were paid at or below the prevailing federal minimum wage.

  13. U.S. percent distribution of minimum wage workers 2023, by occupation

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). U.S. percent distribution of minimum wage workers 2023, by occupation [Dataset]. https://www.statista.com/statistics/299353/percent-distribution-of-us-minimum-wage-workers-by-occupation/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, around **** percent of workers who were paid hourly rates at or below the minimum wage were working in food preparation and serving related occupations. In comparison, only *** percent of farming, fishing, and forestry occupations were earning pay at or below the federal minimum wage.

  14. T

    United States Employment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Employment Rate [Dataset]. https://tradingeconomics.com/united-states/employment-rate
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    excel, xml, json, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1948 - Jun 30, 2025
    Area covered
    United States
    Description

    Employment Rate in the United States remained unchanged at 59.70 percent in June. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. Median earnings in the U.S. - male workers by occupation

    • statista.com
    Updated Sep 13, 2011
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    Statista (2011). Median earnings in the U.S. - male workers by occupation [Dataset]. https://www.statista.com/statistics/203287/median-earnings-of-male-workers-in-the-us-by-occupation/
    Explore at:
    Dataset updated
    Sep 13, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010
    Area covered
    United States
    Description

    The statistic shows the mean earnings of male full-time, year-round workers in the U.S. in 2010, by occupation. The median earnings of workers in service occupations were 31,433 U.S. dollars .

  16. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Librarians occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254484600A
    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: Librarians occupations: 16 years and over (LEU0254484600A) from 2000 to 2024 about librarians, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  17. U.S. workers with access to paid vacations 2023, by occupation

    • statista.com
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    Statista, U.S. workers with access to paid vacations 2023, by occupation [Dataset]. https://www.statista.com/statistics/324489/percentage-of-us-civilian-workers-with-access-to-paid-vacations-by-occupation/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, about ** percent of workers in service occupations in the United States had access to paid vacations. On the other hand, ** percent of workers in Natural resources, construction, and maintenance occupations had access to paid vacations.

  18. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Bakers occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254620400A
    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: Bakers occupations: 16 years and over: Men (LEU0254620400A) from 2000 to 2024 about occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

  19. F

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

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Expenditures: Total Average Annual Expenditures by Occupation: Wage and Salary Earners: Service Workers [Dataset]. https://fred.stlouisfed.org/series/CXUTOTALEXPLB1206M
    Explore at:
    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: Wage and Salary Earners: Service Workers (CXUTOTALEXPLB1206M) from 1984 to 2023 about occupation, salaries, workers, average, expenditures, wages, services, and USA.

  20. F

    Employed full time: Wage and salary workers: Pest control workers...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Pest control workers occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254494500A
    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: Pest control workers occupations: 16 years and over (LEU0254494500A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Share
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Close
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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:
16 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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