18 datasets found
  1. Data from: Occupational Employment Statistics

    • icpsr.umich.edu
    Updated Jun 26, 2015
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    United States Department of Labor. Bureau of Labor Statistics (2015). Occupational Employment Statistics [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36219
    Explore at:
    Dataset updated
    Jun 26, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36219/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36219/terms

    Area covered
    Virgin Islands of the United States, Puerto Rico, Guam, United States
    Description

    The Occupational Employment Statistics (OES) program conducts a semiannual survey designed 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 for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups. The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November. The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). 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 OES survey make these estimates possible. The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following: Art and Design Workers (SOC 27-1000) Art Directors Fine Artists, including Painters, Sculptors, and Illustrators Multimedia Artists and Animators Fashion Designers Graphic Designers Set and Exhibit Designers Entertainers and Performers, Sports and Related Workers (SOC 27-2000) Actors Producers and Directors Athletes Coaches and Scouts Dancers Choreographers Music Directors and Composers Musicians and Singers Media and Communication Workers (SOC 27-3000) Radio and Television Announcers Reports and Correspondents Public Relations Specialists Writers and Authors Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.

  2. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LES1252881600Q
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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: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LES1252881600Q) from Q1 1979 to Q4 2024 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

  3. F

    Average Hourly Earnings of All Employees, Manufacturing

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
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    (2025). Average Hourly Earnings of All Employees, Manufacturing [Dataset]. https://fred.stlouisfed.org/series/CES3000000003
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    jsonAvailable download formats
    Dataset updated
    Mar 7, 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, Manufacturing (CES3000000003) from Mar 2006 to Feb 2025 about earnings, establishment survey, hours, wages, manufacturing, employment, and USA.

  4. F

    Employment Cost Index: Wages and Salaries: Private Industry Workers

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2025
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    (2025). Employment Cost Index: Wages and Salaries: Private Industry Workers [Dataset]. https://fred.stlouisfed.org/series/ECIWAG
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    jsonAvailable download formats
    Dataset updated
    Jan 31, 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 Q4 2024 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

  5. 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/datasets/andrewmvd/occupation-salary-and-likelihood-of-automation/code
    Explore at:
    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

  6. F

    Consumer Unit Characteristics: Percent Men Reference Persons by Occupation:...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Consumer Unit Characteristics: Percent Men Reference Persons by Occupation: Total Wage and Salary Earners [Dataset]. https://fred.stlouisfed.org/series/CXU980210LB1203M
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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 Consumer Unit Characteristics: Percent Men Reference Persons by Occupation: Total Wage and Salary Earners (CXU980210LB1203M) from 1984 to 2023 about consumer unit, occupation, males, salaries, wages, percent, personal, and USA.

  7. F

    Consumer Unit Characteristics: Percent Women Reference Persons by...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Consumer Unit Characteristics: Percent Women Reference Persons by Occupation: Total Wage and Salary Earners [Dataset]. https://fred.stlouisfed.org/series/CXU980220LB1203M
    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 Consumer Unit Characteristics: Percent Women Reference Persons by Occupation: Total Wage and Salary Earners (CXU980220LB1203M) from 1984 to 2023 about consumer unit, occupation, females, salaries, wages, percent, personal, and USA.

  8. F

    Consumer Unit Characteristics: Age of Reference Person by Occupation: Total...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Consumer Unit Characteristics: Age of Reference Person by Occupation: Total Wage and Salary Earners [Dataset]. https://fred.stlouisfed.org/series/CXU980020LB1203M
    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 Consumer Unit Characteristics: Age of Reference Person by Occupation: Total Wage and Salary Earners (CXU980020LB1203M) from 1984 to 2023 about consumer unit, age, occupation, salaries, wages, personal, and USA.

  9. a

    Unemployment Data by Age (Percent) 2017 to Present

    • hub.arcgis.com
    Updated Oct 30, 2020
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    US Census Bureau (2020). Unemployment Data by Age (Percent) 2017 to Present [Dataset]. https://hub.arcgis.com/documents/ed8dd93a3bbf474a8502f6218349734f
    Explore at:
    Dataset updated
    Oct 30, 2020
    Dataset authored and provided by
    US Census Bureau
    Description

    Unemployment Data by Age (Percent) 2017 to Present

      Current population Survey results showing unemployment data broken out by age. Presented in percents; seasonally adjusted, quarterly from 2017 to present. About the BLS Unemployment Data including Current Population Survey Demographic Breakdowns: Links to several different datasets, including Current Population Survey results showing seasonally adjusted unemployment data broken out by ethnicity and age, reason for unemployment, and duration of employment prior to unemployment for years including 2017-2019.  Other datasets show over-the-year percent change in the third month's employment level and taxable wages by industry for a given quarter at the County, State, and MSA level yearly from 1990 - present.
      Geography Level: NationalItem Vintage: 2017-Present
      Update Frequency: N/AAgency: BLSAvailable File Type: Excel 
    
      Return to Other Federal Agency Datasets Page
    
  10. a

    Reason for Unemployment Data

    • hub.arcgis.com
    • covid19-uscensus.hub.arcgis.com
    Updated Oct 30, 2020
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    US Census Bureau (2020). Reason for Unemployment Data [Dataset]. https://hub.arcgis.com/documents/e66e447459e0414da5ec078d29798250
    Explore at:
    Dataset updated
    Oct 30, 2020
    Dataset authored and provided by
    US Census Bureau
    Description

    Reason for Unemployment Data

      Current population Survey results showing unemployment data detailing the reason for unemployment. Presented in thousands; seasonally adjusted, quarterly from 2017 to present. About the BLS Unemployment Data including Current Population Survey Demographic Breakdowns: Links to several different datasets, including Current Population Survey results showing seasonally adjusted unemployment data broken out by ethnicity and age, reason for unemployment, and duration of employment prior to unemployment for years including 2017-2019.  Other datasets show over-the-year percent change in the third month's employment level and taxable wages by industry for a given quarter at the County, State, and MSA level yearly from 1990 - present.
      Geography Level: NationalItem Vintage: Not Available
      Update Frequency: N/AAgency: BLSAvailable File Type: Excel 
    
      Return to Other Federal Agency Datasets Page
    
  11. F

    Employed full time: Wage and salary workers: Automotive service technicians...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Automotive service technicians and mechanics occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254724100A
    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: Automotive service technicians and mechanics occupations: 16 years and over: Women (LEU0254724100A) from 2000 to 2024 about technicians, mechanics, occupation, females, full-time, salaries, workers, vehicles, 16 years +, wages, services, employment, and USA.

  12. a

    Quarterly Percent Change in 3rd Month Employment Level Data 1990 - Present

    • hub.arcgis.com
    • covid19-uscensus.hub.arcgis.com
    Updated Nov 3, 2020
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    US Census Bureau (2020). Quarterly Percent Change in 3rd Month Employment Level Data 1990 - Present [Dataset]. https://hub.arcgis.com/documents/f21574554d61439ab0a8cb1a2276f3eb
    Explore at:
    Dataset updated
    Nov 3, 2020
    Dataset authored and provided by
    US Census Bureau
    Description

    Quarterly Percent Change in 3rd Month Employment Level Data 1990 - Present

      Over-the-year percent change in the third month's employment level of a given quarter (Rounded to the tenths place). County, state, and MSA level, by industry, yearly from 1990 - present. About the BLS Unemployment Data including Current Population Survey Demographic Breakdowns: Links to several different datasets, including Current Population Survey results showing seasonally adjusted unemployment data broken out by ethnicity and age, reason for unemployment, and duration of employment prior to unemployment for years including 2017-2019.  Other datasets show over-the-year percent change in the third month's employment level and taxable wages by industry for a given quarter at the County, State, and MSA level yearly from 1990 - present.
      Geography Level: State, County, MSAItem Vintage: 1990-Present
      Update Frequency: YearlyAgency: BLSAvailable File Type: Website link to CSV/Excel/Legacy Flat files download 
    
      Return to Other Federal Agency Datasets Page
    
  13. F

    Consumer Price Index for All Urban Wage Earners and Clerical Workers:...

    • fred.stlouisfed.org
    json
    Updated Feb 12, 2025
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    (2025). Consumer Price Index for All Urban Wage Earners and Clerical Workers: Hospital and Related Services in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CWSR0000SEMD
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 12, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Wage Earners and Clerical Workers: Hospital and Related Services in U.S. City Average (CWSR0000SEMD) from Jan 1978 to Jan 2025 about clerical workers, hospitals, urban, wages, services, CPI, inflation, price index, indexes, price, and USA.

  14. F

    Consumer Unit Characteristics: Age of Reference Person by Occupation: Wage...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Consumer Unit Characteristics: Age of Reference Person by Occupation: Wage and Salary Earners: Managers and Professionals [Dataset]. https://fred.stlouisfed.org/series/CXU980020LB1204M
    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 Consumer Unit Characteristics: Age of Reference Person by Occupation: Wage and Salary Earners: Managers and Professionals (CXU980020LB1204M) from 1984 to 2023 about management, consumer unit, age, occupation, professional, salaries, wages, personal, and USA.

  15. F

    Income Before Taxes: Wages and Salaries by Age: from Age 25 to 34

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Income Before Taxes: Wages and Salaries by Age: from Age 25 to 34 [Dataset]. https://fred.stlouisfed.org/series/CXU900000LB0403M
    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 Income Before Taxes: Wages and Salaries by Age: from Age 25 to 34 (CXU900000LB0403M) from 1984 to 2023 about age, 25 years +, salaries, tax, wages, income, and USA.

  16. F

    Consumer Unit Characteristics: Age of Reference Person by Occupation: Wage...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Consumer Unit Characteristics: Age of Reference Person by Occupation: Wage and Salary Earners: Technological, Sales, and Clerical Workers [Dataset]. https://fred.stlouisfed.org/series/CXU980020LB1205M
    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 Consumer Unit Characteristics: Age of Reference Person by Occupation: Wage and Salary Earners: Technological, Sales, and Clerical Workers (CXU980020LB1205M) from 1984 to 2023 about clerical workers, consumer unit, age, occupation, salaries, wages, sales, personal, and USA.

  17. F

    Expenditures: Fish and Seafood by Occupation: Wage and Salary Earners:...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Expenditures: Fish and Seafood by Occupation: Wage and Salary Earners: Operators, Fabricators and Laborers [Dataset]. https://fred.stlouisfed.org/series/CXUFISHSEALB1208M
    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: Fish and Seafood by Occupation: Wage and Salary Earners: Operators, Fabricators and Laborers (CXUFISHSEALB1208M) from 1984 to 2023 about seafood, fabrication, operating, occupation, salaries, expenditures, wages, labor, and USA.

  18. F

    Consumer Unit Characteristics: Age of Reference Person by Occupation: Wage...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Consumer Unit Characteristics: Age of Reference Person by Occupation: Wage and Salary Earners: Construction Workers and Mechanics [Dataset]. https://fred.stlouisfed.org/series/CXU980020LB1207M
    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 Consumer Unit Characteristics: Age of Reference Person by Occupation: Wage and Salary Earners: Construction Workers and Mechanics (CXU980020LB1207M) from 1984 to 2023 about mechanics, consumer unit, age, occupation, salaries, workers, construction, wages, personal, and USA.

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United States Department of Labor. Bureau of Labor Statistics (2015). Occupational Employment Statistics [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36219
Organization logo

Data from: Occupational Employment Statistics

Related Article
Explore at:
Dataset updated
Jun 26, 2015
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
United States Department of Labor. Bureau of Labor Statistics
License

https://www.icpsr.umich.edu/web/ICPSR/studies/36219/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36219/terms

Area covered
Virgin Islands of the United States, Puerto Rico, Guam, United States
Description

The Occupational Employment Statistics (OES) program conducts a semiannual survey designed 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 for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups. The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November. The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). 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 OES survey make these estimates possible. The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following: Art and Design Workers (SOC 27-1000) Art Directors Fine Artists, including Painters, Sculptors, and Illustrators Multimedia Artists and Animators Fashion Designers Graphic Designers Set and Exhibit Designers Entertainers and Performers, Sports and Related Workers (SOC 27-2000) Actors Producers and Directors Athletes Coaches and Scouts Dancers Choreographers Music Directors and Composers Musicians and Singers Media and Communication Workers (SOC 27-3000) Radio and Television Announcers Reports and Correspondents Public Relations Specialists Writers and Authors Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.

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