Workers in the Boulder, CO Metropolitan Statistical Area had an average (mean) hourly wage of $35.27 in May 2021, 26 percent above the nationwide average of $28.01, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Michael Hirniak 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 sales and related; life, physical, and social science; and legal.

When compared to the nationwide distribution, Boulder area employment was more highly concentrated in 10 of the 22 occupational groups, including computer and mathematical, architecture and engineering, and business and financial operations. Eleven groups had employment shares significantly below their national representation, including transportation and material moving, construction and extraction, and office and administrative support. (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. Boulder had 14,170 jobs in computer and mathematical, accounting for 7.8 percent of local area employment, significantly higher than the 3.3-percent share nationally. The average hourly wage for this occupational group locally was $52.78, significantly above the national wage of $48.01.

Some of the larger detailed occupations within the computer and mathematical group included software developers (5,480), computer user support specialists (2,040), and network and computer systems administrators (1,210). Among the higher-paying jobs in this group were information security analysts and computer network architects, with mean hourly wages of $63.46 and $61.92, respectively. At the lower end of the wage scale were computer network support specialists ($34.27) and computer user support specialists ($34.92). (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_14500.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 Boulder area, above-average concentrations of employment were found in many of the occupations within the computer and mathematical group. For instance, computer network architects were employed at 3.8 times the national rate in Boulder, and software quality assurance analysts and testers, at 3.2 times the U.S. average. Computer systems analysts had a location quotient of 1.2 in Boulder, 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 Colorado Department of Labor & Employment.

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. 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 Boulder, CO Metropolitan Statistical Area included 2,099 establishments with a response rate of 83 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 Boulder, CO Metropolitan Statistical Area includes Boulder County.

For more information

Answers to frequently asked questions about the OEWS data are available at www.bls.gov/oes/oes_ques.htm. Detailed information about the OEWS program is available at www.bls.gov/oes/oes_doc.htm.

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, Boulder metropolitan area, May 2021

Occupation (1)	Employment		Mean wages
	Level (2)	Location quotient (3)	Hourly	Annual (4)
Computer and mathematical occupations	14,170	2.4	$52.78	$109,780
Computer systems analysts	750	1.2	53.93	112,170
Information security analysts	550	2.7	63.46	132,000
Computer and information research scientists	90	2.3	59.87	124,530
Computer network support specialists	320	1.4	34.27	71,280
Computer user support specialists	2,040	2.4	34.92	72,630
Computer network architects	830	3.8	61.92	128,790
Database administrators	190	1.7	49.67	103,320
Database architects	140	2.2	68.63	142,750
Network and computer systems administrators	1,210	3.0	45.72	95,090
Computer programmers	300	1.6	57.20	118,970
Software developers	5,480	3.1	60.09	124,990
Software quality assurance analysts and testers	780	3.2	48.26	100,380
Web developers	250	2.3	43.53	90,550
Web and digital interface designers	(5)	(5)	43.57	90,630
Computer occupations, all other	500	1.1	58.50	121,680
Operations research analysts	70	0.5	49.78	103,530
Statisticians	120	2.9	47.02	97,800
Data scientists	290	2.1	48.80	101,500
(1) For a complete listing of all detailed occupations in the Boulder, CO Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_14500.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. (5) Estimate not released.