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

VITAL SIGNS INDICATOR
Jobs by Industry (EC1)

FULL MEASURE NAME
Employment by place of work by industry sector

LAST UPDATED
December 2022

DESCRIPTION
Jobs by industry refers to both the change in employment levels by industry and the proportional mix of jobs by economic sector. This measure reflects the changing industry trends that affect our region’s workers.

DATA SOURCE
Bureau of Labor Statistics, Quarterly Census of Employment and Wages (QCEW) - https://www.bls.gov/cew/downloadable-data-files.htm
1990-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Quarterly Census of Employment and Wages (QCEW) employment data is reported by the place of work and represent the number of covered workers who worked during, or received pay for, the pay period that included the 12th day of the month. Covered employees in the private-sector and in the state and local government include most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation and the like are also covered.

Besides excluding the aforementioned national security agencies, QCEW excludes proprietors, the unincorporated self-employed, unpaid family members, certain farm and domestic workers exempted from having to report employment data and railroad workers covered by the railroad unemployment insurance system. Excluded as well are workers who earned no wages during the entire applicable pay period because of work stoppages, temporary layoffs, illness or unpaid vacations.

The location quotient (LQ) is used to evaluate level of concentration or clustering of an industry within the Bay Area and within each county of the region. A location quotient greater than 1 means there is a strong concentration for of jobs in an industry sector. For the Bay Area, the LQ is calculated as the share of the region’s employment in a particular sector divided by the share of California's employment in that same sector. For each county, the LQ is calculated as the share of the county’s employment in a particular sector divided by the share of the region’s employment in that same sector.

Data is mainly pulled from aggregation level 73, which is county-level summarized at the North American Industry Classification System (NAICS) supersector level (12 sectors). This aggregation level exhibits the least loss due to data suppression, in the magnitude of 1-2 percent for regional employment, and is therefore preferred. However, the supersectors group together NAICS 11 Agriculture, Forestry, Fishing and Hunting; NAICS 21 Mining and NAICS 23 Construction. To provide a separate tally of Agriculture, Forestry, Fishing and Hunting, the aggregation level 74 data was used for NAICS codes 11, 21 and 23.

QCEW reports on employment in Public Administration as NAICS 92. However, many government activities are reported with an industry specific code - such as transportation or utilities even if those may be public governmental entities. In 2021 for the Bay Area, the largest industry groupings under public ownership are Education and health services (58%); Public administration (29%) and Trade, transportation, and utilities (29%). With the exception of Education and health services, all other public activities were coded as government/public administration, regardless of industry group.

For the county data there were some industries that reported 0 jobs or did not report jobs at the desired aggregation/NAICS level for the following counties/years:

Farm:
(aggregation level: 74, NAICS code: 11) - Contra Costa: 2008-2010 - Marin: 1990-2006, 2008-2010, 2014-2020 - Napa: 1990-2004, 2013-2021 - San Francisco: 2019-2020 - San Mateo: 2013

Information:
(aggregation level: 73, NAICS code: 51) - Solano: 2001

Financial Activities:
(aggregation level: 73, NAICS codes: 52, 53) - Solano: 2001

Unclassified:
(aggregation level: 73, NAICS code: 99) - All nine Bay Area counties: 1990-2000 - Marin, Napa, San Mateo, and Solano: 2020 - Napa: 2019 - Solano: 2001

Dataset population: Persons aged 16 and over in employment the week before the census

Industry

The industry in which a person aged 16 and over works relates to their main job, and is derived from information provided on the main activity of their employer or business. This is used to assign responses to an industry code based on the UK Standard Industrial Classification of Economic Activities 2007 (UK SIC 2007).

Occupation

A person's occupation relates to their main job and is derived from either their job title or details of the activities involved in their job. This is used to assign responses to an occupation code based on the Standard Occupational Classification 2010 (SOC2010).

Graph and download economic data for Employment Cost Index: Total compensation for Private industry workers in Service-providing, excluding incentive paid occupations (CIU201S000000710I) from Q1 2006 to Q2 2025 about paid, ECI, occupation, compensation, workers, private industries, services, private, industry, and USA.

Data from the Bureau of Labor Statistics (BLS) Current Employment Statistics (CES) program. CES data represents businesses and government agencies, providing detailed industry data on employment on nonfarm payrolls.

The National Industry-Occupation Employment Matrix is developed by the Bureau of Labor Statistics as part of its ongoing Employment Projections program.

The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updatesTitle: Employment Projections by Occupation and Industry - StatusItem Type: CSVSummary: Employment projections for industry and occupations across NM- Growing Stable, Declining with number of exist and entries.Notes: Prepared by: Uploaded by EMcRae_NMCDCSource: New Mexico Dept of Workforce SolutionsFeature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=5be0465282df4499b803cf80c0371788UID: 23Data Requested: Employment projections for agriculture sector in NMMethod of Acquisition: Data is publicly available for download by the New Mexico Department of Workforce SolutionsDate Acquired: March 2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 7Tags: PENDING

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.

In 2043, some 4,000 natural science managers worked in the life sciences industry of California. The statistic illustrates the employment in California's life sciences industry, by select representative occupation. The largest single group consisted of sales representatives.

MT 6.3.4 Population by status in employment, occupation, industry, educational attainment and place of usual residence

Includes industry and occupation projections produced by economists at the Virginia Department of Workforce Development and Advancement. This data also includes a staffing patterns matrix, which links occupations to industry.

Estimates of paid hours worked, and weekly, hourly and annual earnings in the UK. Estimates are broken down by industry section and one and two-digit occupation. Figures are given separately for all UK employees, by gender and full-time or part-time workers. Coefficients of variation are included for all estimates.

The datasets under this topic cover the following, 1.Population in employment aged 10 years and over by industry and age Both Sexes UNION 2.Population in employment aged 10 years and over by industry and State Region Both Sexes Urban Rural 3.Population in employment aged 10 years and over by occupation and age Both Sexes 4.Population in employment aged 15 64 years by occupation sex Urban Rural and Administrative

SA2 based data for Industry of Employment by Occupation, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P42 is broken up into two sections (P42a - P42b), this section contains 'Agriculture forestry and fishing Occupation Managers' - 'Inadequately described Not stated Total'. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

Data on language used most often at work by other language(s) used regularly at work, industry - North American Industry Classification System (NAICS) 2017, occupation - National Occupational Classification (NOC) 2021, labour force status and age for the population aged 15 years and over who worked since 2020, in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.

Graph and download economic data for Employment Cost Index: Wages and salaries for Private industry workers in Goods-producing; management, professional, and related occupations (CIU202G000100000I) from Q1 2001 to Q2 2025 about management, ECI, occupation, professional, salaries, workers, private industries, wages, goods, private, industry, and USA.

On the last business day of May 2025, there were about **** million job openings in the professional and business services industry in the United States, the highest number of job openings after the private education and health services industries. The mining and logging industry, however, had about ****** job openings during the same month. The data is seasonally adjusted.

Employment by industry, occupation, class of worker, full time or part time; annually, 2001-2021, NWT

Graph and download economic data for Employment Cost Index: Compensation: Private Industry Workers: Service Occupations (ECISRVCOM) from Q1 2002 to Q2 2025 about ECI, occupation, compensation, workers, private industries, services, private, industry, inflation, and USA.