Workers in the Colorado Springs Metropolitan Statistical Area had an average (mean) hourly wage of $22.36 in May 2014, similar to the nationwide average of $22.71, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Stanley W. Suchman noted that, after testing for statistical significance, wages in the local area were higher than their respective national averages in 2 of the 22 major occupational groups, including healthcare support. Seven groups had significantly lower wages than their respective national averages, including legal; education, training, and library; and arts, design, entertainment, sports, and media.

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 sales and related. Conversely, eight groups had employment shares significantly below their national representation, including production; transportation and material moving; and management. (See table A and box note at end of release.)

One occupational group—computer and mathematical—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Colorado Springs had 12,990 jobs in computer and mathematical, accounting for 5.1 percent of local area employment, significantly higher than the 2.8-percent share nationally. The average hourly wage for this occupational group locally was $40.23, compared to the national wage of $40.37.

Some of the largest detailed occupations within the computer and mathematical group included applications software developers (2,460), computer user support specialists (2,280), and computer systems analysts (1,490). Among the higher paying jobs were systems software developers and applications software developers, with mean hourly wages of $52.64 and $49.57, respectively. At the lower end of the wage scale were computer user support specialists ($23.66) and web developers ($26.16). (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/2014/may/oes_17820.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 Colorado Springs Metropolitan Statistical Area, above-average concentrations of employment were found in many of the occupations within the computer and mathematical group. For instance, computer user support specialists were employed at 2.2 times the national rate in Colorado Springs, and network and computer systems administrators at 1.9 times the U.S. average. On the other hand, computers programmers had a location quotient of 0.8 in Colorado Springs, 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 Colorado Department of Labor & Employment.

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. 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. May 2014 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2014, November 2013, May 2013, November 2012, May 2012, and November 2011. The overall national response rate for the six panels is 74.3 percent based on establishments and 70.5 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 57.1 percent of total national employment. (Response rates are slightly lower for these estimates due to the federal shutdown in October 2013.) The sample in the Colorado Springs Metropolitan Statistical Area included 2,534 establishments with a response rate of 75 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 2014 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.

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 Colorado Springs, Colo. Metropolitan Statistical Area  includes El Paso and Teller Counties.

Additional information

OES data are available on our regional web page at www.bls.gov/regions/mountain-plains. 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/2014/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: 800-877-8339.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Colorado Springs Metropolitan Statistical Area, May 2014

Occupation (1)	Employment		Mean wages
	Level (2)	Location quotient (3)	Hourly	Annual (4)
Computer and Mathematical Occupations	12,990	1.8	$40.23	$83,690
Computer and Information Research Scientists	60	1.3	52.52	109,230
Computer Systems Analysts	1,490	1.5	46.56	96,840
Information Security Analysts	290	2.0	45.17	93,950
Computer Programmers	470	0.8	37.28	77,540
Software Developers, Applications	2,460	1.9	49.57	103,090
Software Developers, Systems Software	1,200	1.7	52.64	109,480
Web Developers	340	1.5	26.16	54,410
Database Administrators	360	1.7	39.26	81,670
Network and Computer Systems Administrators	1,290	1.9	35.66	74,180
Computer Network Architects	620	2.4	48.15	100,160
Computer User Support Specialists	2,280	2.2	23.66	49,220
Computer Network Support Specialists	710	2.2	34.50	71,750
Computer Occupations, All Other	1,170	2.9	38.96	81,030
Operations Research Analysts	250	1.5	46.39	96,490
Footnotes: (1) For a complete listing of all detailed occupations in Colorado Springs, CO, see www.bls.gov/oes/current/oes_17820.htm. (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.