Workers in the Charleston Metropolitan Statistical Area had an average (mean) hourly wage of $20.96 in May 2017, 14 percent below the nationwide average of $24.34, according to the U.S. Bureau of Labor Statistics. Sheila Watkins, the Bureau’s regional commissioner, noted that, after testing for statistical significance, wages in the local area were significantly lower than their respective national averages in 18 of the 22 major occupational groups, including computer and mathematical, management, and protective service.

When compared to the nationwide distribution, local employment was more highly concentrated in 9 of the 22 occupational groups including office and administrative support; healthcare practitioners and technical; and installation, maintenance, and repair. Conversely, 11 groups had employment shares significantly below their national representation; these groups included production; food preparation and serving related; 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 Charleston Metropolitan Statistical Area, and measures of statistical significance, May 2017

Major occupational group	Percent of total employment			Mean hourly wage
	United States	Charleston		United States	Charleston		Percent difference (1)
Total, all occupations	100	100		$24.34	$20.96	*	-14
Management	5.1	5.5	*	57.65	39.61	*	-31
Business and financial operations	5.2	4.5	*	36.70	27.45	*	-25
Computer and mathematical	3.0	2.4	*	43.18	29.09	*	-33
Architecture and engineering	1.8	1.5	*	41.44	34.07	*	-18
Life, physical, and social science	0.8	1.2	*	35.76	27.34	*	-24
Community and social service	1.5	2.0	*	23.10	19.44	*	-16
Legal	0.8	1.7	*	51.62	35.15	*	-32
Education, training, and library	6.1	4.3	*	26.67	21.26	*	-20
Arts, design, entertainment, sports, and media	1.4	1.1	*	28.34	25.76		-9
Healthcare practitioners and technical	6.0	8.8	*	38.83	34.91	*	-10
Healthcare support	2.9	2.7		15.05	13.16	*	-13
Protective service	2.4	3.1	*	22.69	16.01	*	-29
Food preparation and serving related	9.3	7.4	*	11.88	10.88	*	-8
Building and grounds cleaning and maintenance	3.1	2.8	*	13.91	11.56	*	-17
Personal care and service	3.6	3.4	*	13.11	10.96	*	-16
Sales and related	10.2	9.1	*	19.56	15.81	*	-19
Office and administrative support	15.4	18.5	*	18.24	16.22	*	-11
Farming, fishing, and forestry	0.3	0.1	*	13.87	17.51	*	26
Construction and extraction	4.0	4.8	*	24.01	23.44		-2
Installation, maintenance, and repair	3.9	5.2	*	23.02	20.54	*	-11
Production	6.3	3.5	*	18.30	20.65	*	13
Transportation and material moving	7.0	6.7		17.82	16.47	*	-8
Footnotes: (1) A positive percent difference measures how much the mean wage in the Charleston Metropolitan Statistical Area 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 averag of all areas at the 90-percent confidence level.

One occupational group—construction and extraction—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Charleston had 5,280 jobs in the construction and extraction group, accounting for 4.8 percent of local area employment, significantly above the 4.0-percent share nationally. The average hourly wage for this occupational group locally was $23.44, close to the national average of $24.01.

With employment of 960, construction laborers was the largest detailed occupation within the construction and extraction group, followed by operating engineers and other construction equipment operators (890). Among the higher-paying jobs were first-line supervisors of construction trades and extraction workers with a mean hourly wage of $33.80 and plumbers, pipefitters, and steamfitters with a wage of $28.81. At the lower end of the wage scale were highway maintenance workers ($13.56) and construction laborers ($17.32). (Detailed occupational data for construction and extraction are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_16620.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 as it does nationally. In the Charleston area, above-average concentrations of employment were found in many of the occupations within the construction and extraction group. For instance, operating engineers and other construction equipment operators were employed at 3.1 times the national rate in Charleston, and continuous mining machine operators at 14.0 times the U.S. average. On the other hand, electricians had a location quotient of 0.9 in Charleston, 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, WorkForce West Virginia.

Technical Note

The Occupational Employment Statistics (OES) survey is a semiannual 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 2017 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2017, November 2016, May 2016, November 2015, May 2015, and November 2014. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 72 percent based on establishments and 68 percent based on weighted sampled employment. The unweighted sample employment of 82 million across all six semiannual panels represents approximately 58 percent of total national employment. The sample in the Charleston Metropolitan Statistical Area included 1,432 establishments with a response rate of 69 percent. For more information about OES concepts and methodology, go to www.bls.gov/oes/current/oes_tec.htm.

The May 2017 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2017 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 2017 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 Charleston Metropolitan Statistical Area includes Boone, Clay, and Kanawha Counties in West Virginia.

Additional information

OES data are available on our regional web page at https://www.bls.gov/regions/mid-atlantic. 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.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Charleston Metropolitan Statistical Area, May 2017

Occupation (1)	Employment (2)		Mean wage
	Level	Location quotient (3)	Hourly	Annual (4)
Construction and extraction occupations	5,280	1.2	$23.44	$48,750
First-Line Supervisors of Construction Trades and Extraction Workers	660	1.5	33.80	70,300
Carpenters	330	0.6	21.24	44,180
Cement Masons and Concrete Finishers	40	0.3	19.13	39,790
Construction Laborers	960	1.3	17.32	36,020
Operating Engineers and Other Construction Equipment Operators	890	3.1	21.50	44,710
Electricians	440	0.9	24.05	50,020
Painters, Construction and Maintenance	120	0.7	19.48	40,510
Plumbers, Pipefitters, and Steamfitters	260	0.8	28.81	59,930
Roofers	(5)	(5)	24.80	51,580
Sheet Metal Workers	(5)	(5)	17.36	36,110
Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters	80	1.8	16.21	33,710
Construction and Building Inspectors	90	1.1	22.07	45,900
Elevator Installers and Repairers	80	4.3	28.02	58,270
Highway Maintenance Workers	130	1.1	13.56	28,210
Service Unit Operators, Oil, Gas, and Mining	80	2.6	24.91	51,820
Earth Drillers, Except Oil and Gas	50	3.4	17.17	35,720
Continuous Mining Machine Operators	130	14.0	27.85	57,920
Roof Bolters, Mining	(5)	(5)	29.12	60,560
Roustabouts, Oil and Gas	80	2.2	22.40	46,600
Footnotes: (1) For a complete listing of all detailed occupations in the Charleston Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_16620.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. (5) Estimate not released.