47 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. Prevailing Wage Program Historical Data

    • catalog.data.gov
    • gimi9.com
    Updated Sep 26, 2023
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    Employment and Training Administration (2023). Prevailing Wage Program Historical Data [Dataset]. https://catalog.data.gov/dataset/prevailing-wage-program-historical-data
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    Dataset updated
    Sep 26, 2023
    Dataset provided by
    Employment and Training Administrationhttps://www.dol.gov/agencies/eta
    Description

    The historical Prevailing Wage public disclosure data available on the Office of Foreign Labor Certification (OFLC) web page in the Performance Data section. This dataset includes data collected from Prevailing Wage applications during previous fiscal years. It includes information on employers, geography, job details, etc. for participants in the Prevailing Wage program. Historical Prevailing Wage public disclosure data is available on the OFLC website in the Performance Data section. Data is available as Excel files in aggregate form for previous fiscal years at https://www.dol.gov/agencies/eta/foreign-labor/performance.

  3. Occupational Employment and Wage Statistics (OEWS)

    • data.ca.gov
    csv
    Updated Jul 14, 2025
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    California Employment Development Department (2025). Occupational Employment and Wage Statistics (OEWS) [Dataset]. https://data.ca.gov/dataset/oews
    Explore at:
    csv(105364359)Available download formats
    Dataset updated
    Jul 14, 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

  4. National Compensation Survey - Modeled Wage Estimates

    • s.cnmilf.com
    • catalog.data.gov
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). National Compensation Survey - Modeled Wage Estimates [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/national-compensation-survey-modeled-wage-estimates-5de7e
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

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

  5. A

    Occupational Employment and Wage Estimates

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Jul 2, 2019
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    United States (2019). Occupational Employment and Wage Estimates [Dataset]. https://data.amerigeoss.org/ja/dataset/occupational-employment-and-wage-estimates
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    rdf, csv, json, xmlAvailable download formats
    Dataset updated
    Jul 2, 2019
    Dataset provided by
    United States
    Description

    Washington State, metropolitan statistical areas (MSA) and nonmetropolitan areas (NMA), 2019 OES is a program of the U.S. Department of Labor, Bureau of Labor Statistics (BLS). This federal-state cooperative program produces employment and wage estimates for nearly 840 occupations. The occupational employment and wage estimates are based on data collected from the OES survey. The survey includes employment counts, occupations and wages from more than 4,800 Washington state employers. Data from six survey panels are combined to create a sample size of more than 29,300 employers. Blanks in the data columns indicate suppressed data.

  6. d

    CT Occupational Employment & Wages (OES) - 2022-Q1

    • catalog.data.gov
    • data.ct.gov
    Updated Aug 9, 2024
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    data.ct.gov (2024). CT Occupational Employment & Wages (OES) - 2022-Q1 [Dataset]. https://catalog.data.gov/dataset/ct-occupational-employment-wages-oes-2020-q1
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    Dataset updated
    Aug 9, 2024
    Dataset provided by
    data.ct.gov
    Area covered
    Connecticut
    Description

    The Connecticut Occupational Employment and Wage data provides employment and wage data by occupation and is based on the results of the Occupational Employment Statistics (OES) survey. The OES program conducts a bi-annual mail survey designed to produce estimates of employment and wages for over 800 occupations. These estimates are generated at the national, state, and metropolitan area levels. For more information, please visit us at http://www1.ctdol.state.ct.us/lmi/wages/default.asp.

  7. 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.

  8. A

    ‘Occupational Employment and Wage Estimates’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Occupational Employment and Wage Estimates’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-occupational-employment-and-wage-estimates-115e/534a164d/?iid=004-215&v=presentation
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    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Occupational Employment and Wage Estimates’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/79274f7e-5582-45bd-a1ef-f86f6f3a1c90 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    Washington State, metropolitan statistical areas (MSA) and nonmetropolitan areas (NMA), 2020 OES is a program of the U.S. Department of Labor, Bureau of Labor Statistics (BLS). This federal-state cooperative program produces employment and wage estimates for nearly 867 occupations. The occupational employment and wage estimates are based on data collected from the OES survey. The survey includes employment counts, occupations and wages from more than 4,200 Washington state employers. Data from six survey panels are combined to create a sample size of more than 26,400 employers. Blanks in the data columns indicate suppressed data.

    --- Original source retains full ownership of the source dataset ---

  9. A

    Data from: Occupational Employment Statistics

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +1more
    csv, json, rdf, xml
    Updated Jul 15, 2019
    + more versions
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    United States (2019). Occupational Employment Statistics [Dataset]. https://data.amerigeoss.org/th/dataset/a85ab040-44de-464c-8d66-bf5f94c14651
    Explore at:
    xml, rdf, csv, jsonAvailable download formats
    Dataset updated
    Jul 15, 2019
    Dataset provided by
    United States
    Description

    The Occupational Employment Statistics (OES) survey is a semiannual mail survey of employers that measures occupational employment and occupational wage rates for wage and salary workers in nonfarm establishments, by industry. OES estimates are constructed from a sample of about 51,000 establishments. Each year, forms are mailed to two semiannual panels of approximately 8,500 sampled establishments, one panel in May and the other in November.

  10. T

    Vital Signs: Jobs by Wage Level - Metro

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 18, 2019
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    (2019). Vital Signs: Jobs by Wage Level - Metro [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Jobs-by-Wage-Level-Metro/bt32-8udw
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    csv, tsv, application/rssxml, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Jan 18, 2019
    Description

    VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

    FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

    LAST UPDATED January 2019

    DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

    DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

    American Community Survey (2001-2017) http://api.census.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

    Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

    Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

    Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

    In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling concern of underestimating a median wage for a teaching occupation that requires less than 2080 hours of work a year (equivalent to 12 months fulltime). Finally, the OES has missing employment data for occupations across the time series. To make the employment data comparable between years, gaps in employment data for occupations are ‘filled-in’ using linear interpolation if there are at least two years of employment data found in OES. Occupations with less than two years of employment data were dropped from the analysis. Over 80% of interpolated cells represent missing employment data for just one year in the time series. While this interpolating technique may impact year-over-year comparisons, the long-term trends represented in the analysis generally are accurate.

  11. d

    Iowa Wage Data by Occupation

    • catalog.data.gov
    • mydata.iowa.gov
    • +2more
    Updated Jan 31, 2025
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    data.iowa.gov (2025). Iowa Wage Data by Occupation [Dataset]. https://catalog.data.gov/dataset/iowa-wage-data-by-occupation
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    This dataset is from the Iowa Wage survey which is based on the Occupation Employment Statistics (OES) program from the Bureau of Labor Statistics (BLS). This data is updated to reflect more current statistics using cost of living indicators.

  12. Occupational Employment and Wage Statistics (OEWS)

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 27, 2024
    + more versions
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    California Employment Development Department (2024). Occupational Employment and Wage Statistics (OEWS) [Dataset]. https://catalog.data.gov/dataset/occupational-employment-and-wage-statistics-oews-4b4c4
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Description

    The Occupational Employment and Wage Statistics (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 over 800 occupations from an annual sample of approx. 34,000 California employers. 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.

  13. A

    ‘CT Occupational Employment & Wages (OES) - 2020-Q1’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘CT Occupational Employment & Wages (OES) - 2020-Q1’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-ct-occupational-employment-wages-oes-2020-q1-3dc7/d1501028/?iid=013-126&v=presentation
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    Connecticut
    Description

    Analysis of ‘CT Occupational Employment & Wages (OES) - 2020-Q1’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/50b9dff3-58ef-4c52-9fd9-fd0ffda9f300 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    The Connecticut Occupational Employment and Wage data provides employment and wage data by occupation and is based on the results of the Occupational Employment Statistics (OES) survey. The OES program conducts a bi-annual mail survey designed to produce estimates of employment and wages for over 800 occupations. These estimates are generated at the national, state, and metropolitan area levels. For more information, please visit us at http://www1.ctdol.state.ct.us/lmi/wages/default.asp.

    --- Original source retains full ownership of the source dataset ---

  14. NYS Occupational Employment Statistics

    • kaggle.com
    Updated Jan 1, 2021
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    State of New York (2021). NYS Occupational Employment Statistics [Dataset]. https://www.kaggle.com/new-york-state/nys-occupational-employment-statistics/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 1, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    State of New York
    License

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

    Area covered
    New York
    Description

    Content

    The Occupational Employment Statistics (OES) survey is a semiannual mail survey of employers that measures occupational employment and occupational wage rates for wage and salary workers in nonfarm establishments, by industry. OES estimates are constructed from a sample of about 51,000 establishments. Each year, forms are mailed to two semiannual panels of approximately 8,500 sampled establishments, one panel in May and the other in November.

    Context

    This is a dataset hosted by the State of New York. The state has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York State using Kaggle and all of the data sources available through the State of New York organization page!

    • Update Frequency: This dataset is updated annually.

    Acknowledgements

    This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

    Cover photo by Clem Onojeghuo on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  15. A

    ‘Occupational Employment Statistics’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Sep 30, 2021
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Occupational Employment Statistics’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-occupational-employment-statistics-4adb/8536a5fa/?iid=009-099&v=presentation
    Explore at:
    Dataset updated
    Sep 30, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Occupational Employment Statistics’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/7ff78641-49d8-4322-9db2-1cfced727ced on 30 September 2021.

    --- Dataset description provided by original source is as follows ---

    The Occupational Employment Statistics (OES) survey is a semiannual mail survey of employers that measures occupational employment and occupational wage rates for wage and salary workers in nonfarm establishments, by industry. OES estimates are constructed from a sample of about 51,000 establishments. Each year, forms are mailed to two semiannual panels of approximately 8,500 sampled establishments, one panel in May and the other in November.

    --- Original source retains full ownership of the source dataset ---

  16. V

    Utah Occupational Employment And Wages Data By Job

    • data.virginia.gov
    • opendata.utah.gov
    csv
    Updated Feb 29, 2024
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    Datathon 2024 (2024). Utah Occupational Employment And Wages Data By Job [Dataset]. https://data.virginia.gov/dataset/utah-occupational-employment-and-wages-data-by-job
    Explore at:
    csv(141575)Available download formats
    Dataset updated
    Feb 29, 2024
    Dataset authored and provided by
    Datathon 2024
    Area covered
    Utah
    Description

    The Occupational Employment Statistics (OES) program produces employment and wage estimates annually for over 800 occupations. These estimates are available for the nation as a whole, for individual States, and for metropolitan and nonmetropolitan areas; national occupational estimates for specific industries are also available.

  17. F

    Employed: Paid at prevailing federal minimum wage: Wage and salary workers:...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed: Paid at prevailing federal minimum wage: Wage and salary workers: Protective service occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204849500A
    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: Paid at prevailing federal minimum wage: Wage and salary workers: Protective service occupations: 16 years and over (LEU0204849500A) from 2000 to 2024 about paid, occupation, minimum wage, salaries, workers, 16 years +, federal, wages, services, employment, and USA.

  18. Occupational Employment and Wage Rates (OES) for Multiple Occupations in...

    • data.colorado.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Mar 28, 2014
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    CDLE - Department of Labor and Employment (2014). Occupational Employment and Wage Rates (OES) for Multiple Occupations in Colorado in 2012 [Dataset]. https://data.colorado.gov/Economic-Growth/Occupational-Employment-and-Wage-Rates-OES-for-Mul/q4td-j26j
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    csv, json, application/rdfxml, xml, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Mar 28, 2014
    Dataset provided by
    Colorado Department of Labor and Employmenthttp://colorado.gov/cdle
    Authors
    CDLE - Department of Labor and Employment
    Area covered
    Colorado
    Description

    Annual occupational employment and annual wage data for Multiple Occupations in Colorado in 2012.

  19. A

    Prevailing Wage Program Data

    • data.amerigeoss.org
    • data.wu.ac.at
    xls
    Updated Jul 29, 2019
    + more versions
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    United States[old] (2019). Prevailing Wage Program Data [Dataset]. https://data.amerigeoss.org/dataset/prevailing-wage-program-data
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    xlsAvailable download formats
    Dataset updated
    Jul 29, 2019
    Dataset provided by
    United States[old]
    Description

    The data available for the Prewailing Wage determination program that have been received and entered into the Department of Labor tracking system.

  20. V

    Salt Lake MSA Occupational Projections 2012-2022

    • data.virginia.gov
    csv
    Updated Feb 29, 2024
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    Datathon 2024 (2024). Salt Lake MSA Occupational Projections 2012-2022 [Dataset]. https://data.virginia.gov/dataset/salt-lake-msa-occupational-projections-2012-2022
    Explore at:
    csv(80691)Available download formats
    Dataset updated
    Feb 29, 2024
    Dataset authored and provided by
    Datathon 2024
    Area covered
    Salt Lake City
    Description

    The Occupational Employment Statistics (OES) program produces employment and wage estimates annually for occupations. These estimates are available for the nation as a whole, for individual States, and for metropolitan and nonmetropolitan areas; national occupational estimates for specific industries are also available.

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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)

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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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