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Tuesday, June 27, 2017


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Occupational Employment and Wages in San Francisco-Redwood City-South San Francisco — May 2016

Workers in the San Francisco-Redwood City-South San Francisco Metropolitan Division had an average (mean) hourly wage of $36.61 in May 2016, about 53 percent above the nationwide average of $23.86, according to the U.S. Bureau of Labor Statistics. Assistant Commissioner for Regional Operations Richard Holden noted that, after testing for statistical significance, wages in the local area were 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 9 of the 22 occupational groups, including computer and mathematical; business and financial operations; and management. Conversely, 12 groups had employment shares significantly below their national representation, including production; healthcare practitioners and technical; and education, training, and library. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the San Francisco-Redwood City-South San Francisco Metropolitan Division, and measures of statistical significance, May 2016
Major occupational group Percent of total employment Mean hourly wage
United States San Francisco United States San Francisco Percent difference (1)

Total, all occupations

100.0 100.0 $23.86 $36.61* 53


5.1 8.0* 56.74 77.01* 36

Business and financial operations

5.2 9.7* 36.09 48.32* 34

Computer and mathematical

3.0 8.4* 42.25 55.35* 31

Architecture and engineering

1.8 2.1* 40.53 50.29* 24

Life, physical, and social science

0.8 2.0* 35.06 46.06* 31

Community and social service

1.4 1.4 22.69 27.74* 22


0.8 1.5* 50.95 75.71* 49

Education, training, and library

6.2 4.2* 26.21 34.82* 33

Arts, design, entertainment, sports, and media

1.4 2.6* 28.07 38.29* 36

Healthcare practitioners and technical

5.9 4.0* 38.06 53.91* 42

Healthcare support

2.9 1.5* 14.65 20.70* 41

Protective service

2.4 2.1* 22.03 28.73* 30

Food preparation and serving related

9.2 9.9* 11.47 15.67* 37

Building and grounds cleaning and maintenance

3.2 3.6* 13.47 17.60* 31

Personal care and service

3.2 2.9* 12.74 16.30* 28

Sales and related

10.4 9.0* 19.50 28.26* 45

Office and administrative support

15.7 14.3* 17.91 24.14* 35

Farming, fishing, and forestry

0.3 0.1* 13.37 15.83* 18

Construction and extraction

4.0 3.0* 23.51 34.60* 47

Installation, maintenance, and repair

3.9 2.2* 22.45 29.08* 30


6.5 2.5* 17.88 21.28* 19

Transportation and material moving

6.9 5.3* 17.34 24.07* 39

(1) A positive percent difference measures how much the mean wage in the San Francisco-Redwood City-South San Francisco Metropolitan Division is above the national mean wage, while a negative difference reflects a lower wage.
* The percent share of employment or mean hourly wage for this area is significantly different from the national average of all areas at the 90-percent confidence level.

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-Redwood City-South San Francisco had 89,380 jobs in computer and mathematical, accounting for 8.4 percent of local area employment, significantly higher than the 3.0-percent share nationally. The average hourly wage for this occupational group locally was $55.35, significantly above the national wage of $42.25.

Some of the larger detailed occupations within the computer and mathematical group included applications software developers (26,250), systems software developers (12,200), and computer systems analysts (11,570). Among the higher paying jobs were computer and information research scientists and computer network architects, with mean hourly wages of $68.21 and $66.68, respectively. At the lower end of the wage scale were computer user support specialists ($34.84) and computer network support specialists ($38.87). (Detailed occupational data for computer and mathematical are presented in table 1; for a complete listing of detailed occupations available go to .)

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-Redwood City-South San Francisco Metropolitan Division, above-average concentrations of employment were found in nearly all of the occupations within the computer and mathematical group. For instance, applications software developers were employed at 4.4 times the national rate in San Francisco, and web developers, at 4.1 times the U.S. average. 

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.


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.

Technical Note

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. The OES data available from BLS include cross-industry occupational employment and wage estimates for the nation; over 650 areas, including states and the District of Columbia, metropolitan statistical areas (MSAs), metropolitan divisions, nonmetropolitan areas, and territories; national industry-specific estimates at the NAICS sector, 3-, 4-, and selected 5- and 6-digit industry levels, and national estimates by ownership across all industries and for schools and hospitals. OES data are available at

OES estimates are constructed from a sample of about 1.2 million establishments. Each year, two semiannual panels of approximately 200,000 sampled establishments are contacted, one panel in May and the other in November. Responses are obtained by mail, Internet or other electronic means, email, telephone, or personal visit. The May 2016 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2016, November 2015, May 2015, November 2014, May 2014, and November 2013. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 73 percent based on establishments and 69 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 58 percent of total national employment. The sample in the San Francisco-Redwood City-South San Francisco Metropolitan Division included 5,257 establishments with a response rate of 55 percent. For more information about OES concepts and methodology, go to

The May 2016 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 and information about the 2012 NAICS is available at

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 Francisco-Redwood City-South San Francisco, Calif. Metropolitan Division  includes San Francisco and San Mateo Counties.

Additional information

OES data are available on our regional web page at Answers to frequently asked questions about the OES data are available at Detailed technical information about the OES survey is available in our Survey Methods and Reliability Statement on the BLS website at

Information in this release will be made available to sensory impaired individuals upon request . Voice phone: (202) 691-5200; Federal Relay Service: (800) 877-8339.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, San Francisco-Redwood City-South San Francisco Metropolitan Division, May 2016
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Computer and mathematical occupations

89,380 2.8 $55.35 $115,130

Computer and information research scientists

410 2.0 68.21 141,870

Computer systems analysts

11,570 2.7 57.33 119,240

Information security analysts

1,720 2.3 53.46 111,190

Computer programmers

6,230 3.0 52.43 109,060

Software developers, applications

26,250 4.4 58.86 122,420

Software developers, systems software

12,200 3.9 65.38 135,990

Web developers

4,030 4.1 51.61 107,350

Database administrators

1,710 2.0 52.67 109,560

Network and computer systems administrators

5,280 1.9 54.49 113,330

Computer network architects

2,260 1.9 66.68 138,690

Computer user support specialists

8,380 1.8 34.84 72,470

Computer network support specialists

2,010 1.4 38.87 80,850

Computer occupations, all other

4,910 2.5 53.61 111,510


240 1.6 62.97 130,970


120 5.9 55.79 116,040

Operations research analysts

1,450 1.8 48.85 101,600


610 2.4 53.38 111,030

(1) For a complete listing of all detailed occupations in the San Francisco-Redwood City-South San Francisco, CA Metropolitan Division, see
(2) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.
(3) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration. A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.
(4) Annual wages have been calculated by multiplying the hourly mean wage by a "year-round, full-time" hours figure of 2,080 hours; for those occupations where there is not an hourly mean wage published, the annual wage has been directly calculated from the reported survey data.


Last Modified Date: Tuesday, June 27, 2017