Workers in the San Jose-Sunnyvale-Santa Clara, CA Metropolitan Statistical Area had an average (mean) hourly wage of $54.68 in May 2023, compared to the nationwide average of $31.48, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Chris Rosenlund noted that higher paying major occupational groups included legal ($106.49), management ($101.47), and computer and mathematical ($88.68). Lower paying occupations included healthcare support ($21.78), food preparation and serving related ($21.82), and building and grounds cleaning and maintenance ($23.80). (See table A.)

Occupational groups with the highest employment in the San Jose area included computer and mathematical (14.2 percent), management (10.4 percent), and office and administrative support (8.2 percent). Major occupational groups on the lower end of local employment included legal (0.9 percent); life, physical, and social science (1.0 percent); and arts, design, entertainment, sports, and media (1.2 percent). (See table A.)

One occupational group—computer and mathematical—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. San Jose had 161,790 jobs in computer and mathematical, accounting for 14.2 percent of local area employment, compared to the 3.4-percent share nationally. The average hourly wage for this occupational group locally was $88.68, compared to the national wage of $54.39.

Some of the larger detailed occupations within the computer and mathematical group included software developers (96,590), software quality assurance analysts and testers (8,600), and computer systems analysts (6,480). Among the higher-paying jobs in this group were computer and information research scientists and database architects, with mean hourly wages of $108.17 and $97.31, respectively. At the lower end of the wage scale were computer user support specialists ($42.14) and computer network support specialists ($52.85). (Detailed data for the computer and mathematical occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_41940.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 Jose area, above-average concentrations of employment were found in many of the occupations within the computer and mathematical group. For instance, software developers were employed at 7.8 times the national rate in San Jose, and software quality assurance analysts and testers, at 5.6 times the U.S. average. Computer user support specialists had a location quotient of 1.1 in San Jose, indicating that this particular occupation’s local and national employment shares were similar.

The statistics in this release are from the Occupational Employment and Wage Statistics (OEWS) survey, a cooperative effort between BLS and the State Workforce Agencies (SWAs). BLS funds the survey and provides the procedures and technical support. State Workforce Agencies collect most of the data: in this case, the California Employment Development Department.

Technical Note

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. Full OEWS data tables are available online.

Additional information about the OEWS estimates and methodology are available in the national Technical Notes. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 65.8 percent based on establishments and 64.3 percent based on weighted sampled employment. The sample in the San Jose-Sunnyvale-Santa Clara, CA Metropolitan Statistical Area included 4,818 establishments with a response rate of 55 percent.

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 Jose-Sunnyvale-Santa Clara, CA Metropolitan Statistical Area includes San Benito County and Santa Clara County.

For more information

Answers to frequently asked questions about the OEWS data, as well as general program documentation, are available on the OEWS website.

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.

Table 1. Employment and wage data for computer and mathematical occupations, San Jose metropolitan area, May 2023

Occupation (1)	Employment		Mean wages ($)
	Level (2)	Location quotient (3)	Hourly	Annual (4)
Computer and mathematical occupations	161,790	4.2	88.68	184,460
Computer systems analysts	6,480	1.7	79.67	165,720
Information security analysts	2,610	2.0	82.19	170,960
Computer and information research scientists	2,210	8.4	108.17	225,000
Computer network support specialists	1,090	0.9	52.85	109,930
Computer user support specialists	5,650	1.1	42.14	87,650
Computer network architects	2,800	2.1	89.82	186,830
Database administrators	820	1.4	71.50	148,720
Database architects	960	2.1	97.31	202,410
Network and computer systems administrators	2,990	1.2	67.15	139,670
Computer programmers	1,630	1.8	73.26	152,390
Software developers	96,590	7.8	96.06	199,800
Software quality assurance analysts and testers	8,600	5.6	79.07	164,470
Web developers	1,450	2.3	75.23	156,480
Web and digital interface designers	3,870	4.6	88.25	183,570
Computer occupations, all other	17,790	5.4	80.43	167,290
Operations research analysts	860	1.0	63.63	132,350
Statisticians	280	1.3	80.44	167,320
Data scientists	5,040	3.5	86.75	180,440
Mathematical science occupations, all other	50	1.4	52.26	108,690
Footnotes: (1) For a complete listing of all detailed occupations in the San Jose-Sunnyvale-Santa Clara, CA Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_41940.htm. (2) Estimates for detailed occupations may not sum to the totals due to rounding, and because the totals may include occupations that are 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.