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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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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.
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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.
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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.
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.
If you use this dataset in your research, please credit the authors.
@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}}
@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 was not specified at the source.
Photo by Alex Knight on Unsplash
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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.
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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.
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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.
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
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
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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.
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
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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.
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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.
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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.
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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.
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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.
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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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https://www.icpsr.umich.edu/web/ICPSR/studies/36219/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36219/terms
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.