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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Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to May 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.
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Graph and download economic data for Expenditures: Total Average Annual Expenditures by Occupation: Total Wage and Salary Earners (CXUTOTALEXPLB1203M) from 1984 to 2023 about occupation, salaries, average, expenditures, wages, and USA.
The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.
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.
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Graph and download economic data for Employed full time: Wage and salary workers: Bakers occupations: 16 years and over (LEU0254513600A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.
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Graph and download economic data for Employed full time: Wage and salary workers: 16 years and over (LEU0254466800Q) from Q1 1979 to Q1 2025 about full-time, salaries, workers, 16 years +, wages, employment, and USA.
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Graph and download economic data for Average Hourly Earnings of All Employees, Construction (CES2000000003) from Mar 2006 to May 2025 about earnings, establishment survey, hours, construction, wages, employment, and USA.
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Graph and download economic data for Employment Cost Index: Wages and salaries for All Civilian workers in Goods-producing industries (CIU102G000000000I) from Q1 2001 to Q1 2025 about ECI, salaries, workers, civilian, wages, goods, industry, and USA.
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Graph and download economic data for Employment Level - Nonagriculture, Wage and Salary Workers (LNU02032187) from Jan 1948 to May 2025 about nonagriculture, salaries, workers, 16 years +, wages, household survey, employment, and USA.
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Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Construction (AHECONS) from Jan 1947 to May 2025 about nonsupervisory, earnings, establishment survey, hours, construction, wages, production, employment, and USA.
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Graph and download economic data for Employed full time: Wage and salary workers: Waiters and waitresses occupations: 16 years and over (LEU0254493400A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.
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Graph and download economic data for Average Weekly Earnings of All Employees, Total Private (CES0500000011) from Mar 2006 to May 2025 about earnings, establishment survey, private, employment, and USA.
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Graph and download economic data for Employment Cost Index: Wages and salaries for Private industry workers in Transportation and warehousing (CIS2024300000000I) from Q1 2003 to Q1 2025 about ECI, warehousing, salaries, workers, transportation, private industries, wages, private, industry, and USA.
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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: White: Men (LEU0252884000Q) from Q1 2000 to Q1 2025 about full-time, males, salaries, workers, earnings, white, 16 years +, wages, median, real, employment, and USA.
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Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Total Private (AHETPI) from Jan 1964 to May 2025 about nonsupervisory, headline figure, earnings, average, establishment survey, hours, wages, production, private, employment, and USA.
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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.
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Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q1 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.
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Graph and download economic data for Income Before Taxes: Wages and Salaries by Income Before Taxes: $30,000 to $39,999 (CXU900000LB0207M) from 1984 to 2023 about salaries, tax, wages, income, and USA.
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Graph and download economic data for Employed full time: Usual weekly nominal earnings (first decile): Wage and salary workers: 16 years and over (LEU0252911200Q) from Q1 2000 to Q1 2025 about first decile, full-time, salaries, workers, earnings, 16 years +, wages, employment, and USA.
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