Current Employment by Industry (CES) data reflect jobs by "place of work." It does not include the self-employed, unpaid family workers, and private household employees. Jobs located in the county or the metropolitan area that pay wages and salaries are counted although workers may live outside the area. Jobs are counted regardless of the number of hours worked. Individuals who hold more than one job (i.e. multiple job holders) may be counted more than once. The employment figure is an estimate of the number of jobs in the area (regardless of the place of residence of the workers) rather than a count of jobs held by the residents of the area.

This Tree Map graph shows occupations with the highest mean (average) wage in California. This dataset is derived from the OES Survey.

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 52,000 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. Estimates are a snapshot in time and cannot be used as a time series.

This graph shows the number of weekly initial claims versus the number of continued claims for the California Unemployment Insurance Program.

The monthly summary report is intended to provide the user with a quick overview of the status of the UI system at the national and state levels. This summary report contains monthly information on claims activities and on the number and amount of payments under State unemployment insurance laws. This data is used in budgetary and administrative planning, program evaluation, and reports to Congress and the public.

This graph is derived from the Long-term Occupational Projections dataset and reflects a 10-year time horizon. This tree map graph shows occupations with the highest projected growth rate in California, with an average hourly wage greater than $40.00 per hour with more than 100 openings annually. There are over 65 occupations in this category, which includes, marketing research analyst, dental hygienist, cost estimators, and loan officers.

This graph is derived from the Long-term Occupational Projections dataset and reflects a 10-year time horizon.
This tree map graph shows occupations with the more than 500 job openings annually with an average hourly wage greater than $40.00. There are over 43 occupations in this category, which includes, physical therapists, computer programmers, and various legal occupations.

This graph is derived from the Long-term Occupational Projections dataset and reflects a 10-year time horizon.
This tree map graph shows occupations with an average hourly wage of $30 or more that requires only a high-school degree or equivalent in most instances. Many of these occupations have minimum work-experience and on the job training requirements. There are over 30 occupations in this category, which includes, gas plant operators, claims adjusters, building inspectors, and Steel workers.

The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,300 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State employment security agencies prepare under agreement with BLS. Estimates for the remainder of the substate labor market areas are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, State UI systems, and the decennial census, to create estimates that are adjusted to the statewide measures of employment and unemployment. Below the labor market area level, estimates are prepared using disaggregation techniques based on inputs from the decennial census, annual population estimates, and current UI data

The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,300 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State employment security agencies prepare under agreement with BLS. Estimates for the remainder of the substate labor market areas are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, State UI systems, and the decennial census, to create estimates that are adjusted to the statewide measures of employment and unemployment. Below the labor market area level, estimates are prepared using disaggregation techniques based on inputs from the decennial census, annual population estimates, and current UI data

The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,300 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State employment security agencies prepare under agreement with BLS. Estimates for the remainder of the substate labor market areas are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, State UI systems, and the decennial census, to create estimates that are adjusted to the statewide measures of employment and unemployment. Below the labor market area level, estimates are prepared using disaggregation techniques based on inputs from the decennial census, annual population estimates, and current UI data