Thursday, July 14, 2022
Workers in the San Diego-Carlsbad, CA Metropolitan Statistical Area had an average (mean) hourly wage of $32.31 in May 2021, about 15 percent above the nationwide average of $28.01, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Chris Rosenlund noted that, after testing for statistical significance, wages in the local area were higher than their respective national averages in 20 of the 22 major occupational groups, including healthcare practitioners and technical, legal, and architecture and engineering.
When compared to the nationwide distribution, San Diego area employment was more highly concentrated in 11 of the 22 occupational groups, including management; architecture and engineering; and life, physical, and social science. Seven groups had employment shares significantly below their national representation, including transportation and material moving, office and administrative support, and production. (See table A.)
|Major occupational group||Percent of total employment||Mean hourly wage|
|United States||San Diego||United States||San Diego||Percent difference (1)|
Total, all occupations
Business and financial operations
Computer and mathematical
Architecture and engineering
Life, physical, and social science
Community and social service
Educational instruction and library
Arts, design, entertainment, sports, and media
Healthcare practitioners and technical
Food preparation and serving related
Building and grounds cleaning and maintenance
Personal care and service
Sales and related
Office and administrative support
Farming, fishing, and forestry
Construction and extraction
Installation, maintenance, and repair
Transportation and material moving
One occupational group—management—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. San Diego had 105,500 jobs in management, accounting for 7.6 percent of local area employment, significantly higher than the 6.3-percent share nationally. The average hourly wage for this occupational group locally was $63.47, significantly above the national wage of $59.31.
Some of the larger detailed occupations within the management group included general and operations managers (25,350), financial managers (7,530), and sales managers (7,250). Among the higher-paying jobs in this group were chief executives and natural sciences managers, with mean hourly wages of $101.36 and $95.06, respectively. At the lower end of the wage scale were education and childcare administrators, preschool and daycare ($27.57) and food service managers ($31.71). (Detailed data for the management occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_41740.htm.)
Location quotients allow us to explore the occupational make-up of a metropolitan area by comparing the composition of jobs in an area relative to the national average. (See table 1.) For example, a location quotient of 2.0 indicates that an occupation accounts for twice the share of employment in the area than it does nationally. In the San Diego area, above-average concentrations of employment were found in some of the occupations within the management group. For instance, natural sciences managers were employed at 3.1 times the national rate in San Diego, and property, real estate, and community association managers, at 2.3 times the U.S. average. Medical and health services managers had a location quotient of 1.0 in San Diego, indicating that this particular occupation’s local and national employment shares were similar.
These statistics are from the Occupational Employment and Wage Statistics (OEWS) survey, a federal-state cooperative program between BLS and State Workforce Agencies, in this case, the California Employment Development Department.
With the May 2021 estimates release, the Occupational Employment and Wage Statistics (OEWS) program has implemented a new model-based (MB3) estimation method. For more information, see the May 2021 Survey Methods and Reliability Statement at www.bls.gov/oes/methods_21.pdf and the Monthly Labor Review article at www.bls.gov/opub/mlr/2019/article/model-based-estimates-for-the-occupational-employment-statistics-program.htm. OEWS estimates for the years 2015-19 were recalculated using the new estimation method and are available as research estimates at www.bls.gov/oes/oes-mb3-methods.htm.
The May 2021 OEWS estimates are also the first estimates based entirely on survey data collected using the 2018 Standard Occupational Classification (SOC) system. To improve data quality, the OEWS program aggregates some occupations to the SOC broad occupation level or as OEWS-specific combinations of 2018 SOC detailed occupations.
The Occupational Employment and Wage Statistics (OEWS) survey is a semiannual survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. The OEWS data available from BLS include cross-industry occupational employment and wage estimates for the nation; over 580 areas, including states and the District of Columbia, metropolitan statistical areas (MSAs), nonmetropolitan areas, and territories; national industry-specific estimates at the NAICS sector, 3-digit, most 4-digit, and selected 5- and 6-digit industry levels, and national estimates by ownership across all industries and for schools and hospitals. OEWS data are available at www.bls.gov/oes/tables.htm.
The OEWS survey is a cooperative effort between BLS and the State Workforce Agencies (SWAs). BLS funds the survey and provides the procedures and technical support, while the State Workforce Agencies collect most of the data. OEWS estimates are constructed from a sample of about 1.1 million establishments. Each year, two semiannual panels of approximately 179,000 to 187,000 sampled establishments are contacted, one panel in May and the other in November. Responses are obtained by Internet or other electronic means, mail, email, telephone, or personal visit. The May 2021 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2021, November 2020, May 2020, November 2019, May 2019, and November 2018. The unweighted sampled employment of 82 million across all six semiannual panels represents approximately 62 percent of total national employment. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 67.2 percent based on establishments and 64.5 percent based on weighted sampled employment. The sample in the San Diego-Carlsbad, CA Metropolitan Statistical Area included 5,976 establishments with a response rate of 53 percent. For more information about OEWS concepts and methodology, go to www.bls.gov/oes/current/oes_tec.htm.
A value that is statistically different from another does not necessarily mean that the difference has economic or practical significance. Statistical significance is concerned with the ability to make confident statements about a universe based on a sample. It is entirely possible that a large difference between two values is not significantly different statistically, while a small difference is, since both the size and heterogeneity of the sample affect the relative error of the data being tested.
Metropolitan area definitions
The substate area data published in this release reflect the standards and definitions established by the U.S. Office of Management and Budget.
The San Diego-Carlsbad, CA Metropolitan Statistical Area includes San Diego County.
For more information
Information in this release will be made available to individuals with sensory impairments upon request. Voice phone: (202) 691-5200; Telecommunications Relay Service: 7-1-1.
|Occupation (1)||Employment||Mean wages|
|Level (2)||Location quotient (3)||Hourly||Annual (4)|
General and operations managers
Advertising and promotions managers
Public relations managers
Administrative services managers
Computer and information systems managers
Industrial production managers
Transportation, storage, and distribution managers
Compensation and benefits managers
Human resources managers
Training and development managers
Education and childcare administrators, preschool and daycare
Education administrators, kindergarten through secondary
Education administrators, postsecondary
Education administrators, all other
Architectural and engineering managers
Food service managers
Entertainment and recreation managers, except gambling
Medical and health services managers
Natural sciences managers
Postmasters and mail superintendents
Property, real estate, and community association managers
Social and community service managers
Funeral home managers
Personal service managers, all other
Managers, all other
Last Modified Date: Thursday, July 14, 2022