News Release Information
Wednesday, May 28, 2014
Occupational Employment and Wages in San Francisco-San Mateo-Redwood City, May 2013
Workers in the San Francisco-San Mateo-Redwood City Metropolitan Division had an average (mean) hourly wage of $32.41 in May 2013, about 45 percent above the nationwide average of $22.33, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Richard J. Holden noted that, after testing for statistical significance, wages in the local area were significantly higher than their respective national averages in all of the 22 major occupational groups.
When compared to the nationwide distribution, local employment was more highly concentrated in 8 of the 22 occupational groups, including computer and mathematical, business and financial operations, and management. Conversely, 10 groups had employment shares significantly below their national representation, including production, healthcare practitioners and technical, and transportation and material moving. (See table A and box note at end of release.)
|Major occupational group||Percent of total employment||Mean hourly wage|
|United States||San Francisco||United States||San Francisco||Percent difference (1)|
Total, all occupations
Business and financial operations
Computer and mathematical
Architecture and engineering
Life, physical, and social science
Community and social services
Education, training, and library
Arts, design, entertainment, sports, and media
Healthcare practitioner 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—computer and mathematical—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. San Francisco-San Mateo-Redwood City had 68,810 jobs in computer and mathematical, accounting for 6.6 percent of local area employment, significantly higher than the 2.8-percent share nationally. The average hourly wage for this occupational group locally was $49.89, measurably above the national wage of $39.43.
Some of the largest detailed occupations within the computer and mathematical group included applications software developers (15,220), systems software developers (11,650), and computer systems analysts (9,220). Among the higher paying jobs were computer network architects and statisticians, with mean hourly wages of $59.56 and $57.55, respectively. At the lower end of the wage scale were computer user support specialists ($33.43) and computer network support specialists ($39.32). (Detailed occupational data for computer and mathematical are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/2013/may/oes_41884.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 Francisco-San Mateo-Redwood City Metropolitan Division, above average concentrations of employment were found in many of the occupations within the computer and mathematical group. For instance, systems software developers were employed at 4.0 times the national rate in San Francisco, and web developers, at 3.5 times the U.S. average. On the other hand, computer user support specialists had a location quotient of 1.3 in San Francisco, indicating that this particular occupation’s local and national employment shares were similar.
These statistics are from the Occupational Employment Statistics (OES) survey, a federal-state cooperative program between BLS and State Workforce Agencies, in this case, the California Employment Development Department.
OES wage and employment data for the 22 major occupational groups in the San Francisco metropolitan division were compared to their respective national averages based on statistical significance testing. Only those occupations with wages or employment shares above or below the national wage or share after testing for significance at the 90-percent confidence level meet the criteria.
NOTE: 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.
The Occupational Employment Statistics (OES) survey is a semiannual mail survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. Guam, Puerto Rico, and the Virgin Islands are also surveyed, but their data are not included in the national estimates. OES estimates are constructed from a sample of about 1.2 million establishments. Forms are mailed to approximately 200,000 sampled establishments in May and November each year for a 3-year period. May 2013 estimates are based on responses from six semiannual panels collected in May 2013, November 2012, May 2012, November 2011, May 2011, and November 2010. The overall national response rate for the six panels is 75.3 percent based on establishments and 71.6 percent based on employment. The sample in the San Francisco-San Mateo-Redwood City Metropolitan Division included 5,557 establishments with a response rate of 66 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.
The OES survey provides estimates of employment and hourly and annual wages for wage and salary workers in 22 major occupational groups and 821 detailed occupations for the nation, states, metropolitan statistical areas, metropolitan divisions, and nonmetropolitan areas. In addition, employment and wage estimates for 94 minor groups and 458 broad occupations are available in the national data. OES data by state and metropolitan/nonmetropolitan area are available from www.bls.gov/oes/current/oessrcst.htm and www.bls.gov/oes/current/oessrcma.htm , respectively.
The May 2013 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2012 North American Industry Classification System (NAICS). Information about the 2010 SOC is available on the BLS website at www.bls.gov/soc and information about the 2012 NAICS is available at www.bls.gov/bls/naics.htm .
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 Francisco-San Mateo-Redwood City, Calif. Metropolitan Division includes Marin, San Francisco, and San Mateo Counties.
OES data are available on our regional web page at www.bls.gov/regions/west/home.htm. Answers to frequently asked questions about the OES data are available at www.bls.gov/oes/oes_ques.htm. Detailed technical information about the OES survey is available in our Survey Methods and Reliability Statement on the BLS website at www.bls.gov/oes/2013/may/methods_statement.pdf. Information in this release will be made available to sensory impaired individuals upon request – Voice phone: 202-691-5200; Federal Relay Service: 1-800-877-8339.
|Occupation (1)||Employment||Mean wages|
|Level (2)||Location quotient (3)||Hourly||Annual(4)|
Computer and Mathematical Occupations
Computer and Information Research Scientists
Computer Systems Analysts
Information Security Analysts
Software Developers, Applications
Software Developers, Systems Software
Network and Computer Systems Administrators
Computer Network Architects
Computer User Support Specialists
Computer Network Support Specialists
Computer Occupations, All Other
Operations Research Analysts
Last Modified Date: Wednesday, May 28, 2014