News Release Information
Wednesday, May 24, 2017
Occupational Employment and Wages in Raleigh – May 2016
Workers in the Raleigh Metropolitan Statistical Area had an average (mean) hourly wage of $24.23 in May 2016, about 2 percent above the nationwide average of $23.86, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Janet S. Rankin noted that, after testing for statistical significance, wages in the local area were higher than their respective national averages in 3 of the 22 major occupational groups: farming, fishing and forestry; sales and related; and management. Eleven groups had significantly lower wages than their respective national averages, including construction and extraction; transportation and material moving; and building and grounds cleaning and maintenance.
When compared to the nationwide distribution, local employment was more highly concentrated in 7 of the 22 occupational groups, including computer and mathematical; sales and related; and business and financial operations. Conversely, nine groups had employment shares significantly below their national representation, including production; transportation and material moving; and healthcare practitioners and technical. (See table A and box note at end of release.)
|Major occupational group||Percent of total employment||Mean hourly wage|
|United States||Raleigh||United States||Raleigh||Percent difference (1)|
Total, all occupations
Business and financial operations
Computer and mathematical
Architecture and engineering
Life, physical, and social science
Community and social service
Education, training, and library
Arts, design, entertainment, sports, and media
Healthcare practitioners 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. Raleigh had 34,530 jobs in computer and mathematical, accounting for 5.8 percent of local area employment, significantly higher than the 3.0-percent share nationally. The average hourly wage for this occupational group locally was $42.89, compared to the national wage of $42.25.
Some of the larger detailed occupations within the computer and mathematical group included software application developers (8,610), computer systems analysts (7,630), and computer user support specialists (4,310). Among the higher paying jobs were statisticians and software system developers, with mean hourly wages of $54.21 and $51.66, respectively. At the lower end of the wage scale were computer user support specialists ($27.51) and computer network support specialists ($35.65). (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/current/oes_39580.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 Raleigh Metropolitan Statistical Area, above-average concentrations of employment were found in many of the occupations within the computer and mathematical group. For instance, computer systems analysts were employed at 3.2 times the national rate in Raleigh, and computer network support specialists, at 3.1 times the U.S. average. On the other hand, database administrators had a location quotient of 1.0 in Raleigh, 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 North Carolina Department of Commerce.
Note on Occupational Employment Statistics Data
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. 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 www.bls.gov/oes/tables.htm.
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 Raleigh Metropolitan Statistical Area included 3,857 establishments with a response rate of 83 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.
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 www.bls.gov/soc and information about the 2012 NAICS is available at www.bls.gov/bls/naics.htm.
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 Raleigh, N.C. Metropolitan Statistical Area includes Franklin, Johnston, and Wake Counties.
OES data are available on our regional web page at www.bls.gov/regions/southeast. 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/current/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.
|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 24, 2017