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

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

The Occupational Employment and Wage Statistics (OEWS) 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. OEWS estimates are constructed from a sample of about 41,400 establishments. Each year, forms are mailed to two semiannual panels of approximately 6,900 sampled establishments, one panel in May and the other in November.

Analysis of ‘Occupational Employment and Wage Statistics (OEWS)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ec2114b7-6b39-4b40-bb5d-bdd65a1e2382 on 12 February 2022.

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

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.

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

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.

The most recent statewide occupational estimates available. Produced in cooperation with the United States Bureau of Labor Statistics (BLS).

Dataset

This dataset was created by Manuel Juarez

Contents

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 ---

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.

Long-term Occupational Projections for a 10-year time horizon are provided for the State and its labor market regions to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Long-term projections are revised annually. Data are not available for geographies below the labor market regions. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

Short-term Occupational Projections for a 2-year time horizon are produced for the State to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Short-term projections are revised annually. Data are not available for geographies below the state level, including labor market regions. Data is based on second quarter averages and may be subject to seasonality. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

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.

This dataset has now been discontinued following a user consultation. However figures for employment by occupation, sourced from our Annual Population Survey are available on our NOMIS website.

Analysis of ‘Long-Term Occupational Employment Projections’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8fcc2e43-5993-4f9f-b081-a7a03a805c85 on 28 January 2022.

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

Long-term Occupational Projections for a 10-year time horizon are provided for the State and its labor market regions to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Long-term projections are revised biannually. Data are not available for geographies below the labor market regions. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

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

Analysis of ‘Short-Term Occupational Employment Projections’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9809172e-5193-4a6c-8a62-b886eda39c64 on 11 February 2022.

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

Short-term Occupational Projections for a 2-year time horizon are produced for the State to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Short-term projections are revised annually. Data are not available for geographies below the state level, including labor market regions. Data is based on second quarter averages and may be subject to seasonality. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

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

These occupational employment and wage estimates are calculated with data collected from employers in all industry sectors in metropolitan and nonmetropolitan areas in Virginia.

Additional information, including the hourly and annual 10th, 25th, 75th, and 90th percentile wages and the employment percent relative standard error, is available

Employment (workplace) by industry from the Business register and employment survey (BRES). This data excludes self-employed but includes proprietors Employment = employees + working proprietors. Working Proprietors are sole traders, sole proprietors, partners and directors. This does not apply to registered charities. Numbers have all been rounded to the nearest 100 Before the BRES first existed in 2009, the ABI collected employment data by industry. The two surveys are not directly comparable. The BRES is a business survey which collects both employment and financial information. Only employment information for the location of an employees workplace is available from Nomis The BRES is based on a sample of approximately 80,000 businesses and is used to provide an estimate of the number of employees. The difference between the estimate and its true value is known as the sampling error. The actual sampling error for any estimate is unknown but we can estimate, from the sample, a typical error, known as the standard error. This provides a means of assessing the precision of the estimate; the lower the standard error, the more confident we can be the estimate is close to the true value. NOMIS website article

This dataset excludes farm based agriculture data contained in SIC class 0100.

Data and charts accompanying the 'Business Register Employment Survey 2010: London' publication

The ABI was replaced by the Business Register and Employment Survey (BRES) from 2009 onwards, therefore this dataset will no longer be updated.

More on ONS website

https://data.london.gov.uk/dataset/workplace-employment-industry-borough

License: UK Open Government Licence

Long-term Occupational Projections for a 10-year time horizon are provided for the State and its labor market regions to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Long-term projections are revised biannually. Data are not available for geographies below the labor market regions. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

The most recent occupational estimates for Kentucky’s ten Local Workforce Areas.

The O*NET Database contains hundreds of standardized and occupation-specific descriptors on almost 1,000 occupations covering the entire U.S. economy. The database, which is available to the public at no cost, is continually updated by a multi-method data collection program. Sources of data include: job incumbents, occupational experts, occupational analysts, employer job postings, and customer/professional association input.

Data content areas include:

• Worker Characteristics (e.g., Abilities, Interests, Work Styles)
• Worker Requirements (e.g., Education, Knowledge, Skills)
• Experience Requirements (e.g., On-the-Job Training, Work Experience)
• Occupational Requirements (e.g., Detailed Work Activities, Work Context)
• Occupation-Specific Information (e.g., Job Titles, Tasks, Technology Skills)