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17-979-DAL
Tuesday, July 11, 2017

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Occupational Employment and Wages in Oklahoma City, May 2016

Workers in the Oklahoma City Metropolitan Statistical Area had an average (mean) hourly wage of $21.77 in May 2016, about 9 percent below the nationwide average of $23.86, according to the U.S. Bureau of Labor Statistics. Assistant Commissioner for Regional Operations Stanley W. Suchman noted that, after testing for statistical significance, wages in the local area were lower than their respective national averages in 20 of the 22 major occupational groups, including computer and mathematical; education, training, and library; and management occupations. Wage levels in the remaining occupational groups were not statistically different from their respective national averages.

When compared to the nationwide distribution, local employment was more highly concentrated in 9 of the 22 occupational groups, including management; food preparation and serving related; and construction and extraction. Conversely, nine groups had employment shares significantly below their national representation, including production; transportation and material moving; 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 Oklahoma City, OK Metropolitan Statistical Area, and measures of statistical significance, May 2016
Major occupational group Percent of total employment Mean hourly wage
United
States
Oklahoma
City, OK
United
States
Oklahoma
City, OK
Percent
difference(1)

Total, all occupations

100.0 100.0   $23.86 $21.77 * -9

Management

5.1 6.2 * 56.74 47.02 * -17

Business and financial operations

5.2 5.1   36.09 30.98 * -14

Computer and mathematical

3.0 2.5 * 42.25 33.04 * -22

Architecture and engineering

1.8 2.0 * 40.53 37.52 * -7

Life, physical, and social science

0.8 0.7   35.06 32.70 * -7

Community and social service

1.4 1.7 * 22.69 19.94 * -12

Legal

0.8 1.0 * 50.95 40.76 * -20

Education, training, and library

6.2 5.2 * 26.21 21.05 * -20

Arts, design, entertainment, sports, and media

1.4 1.2 * 28.07 20.12 * -28

Healthcare practitioners and technical

5.9 6.9 * 38.06 33.94 * -11

Healthcare support

2.9 2.7   14.65 13.88 * -5

Protective service

2.4 2.2 * 22.03 22.61   3

Food preparation and serving related

9.2 10.3 * 11.47 10.45 * -9

Building and grounds cleaning and maintenance

3.2 2.7 * 13.47 11.60 * -14

Personal care and service

3.2 2.4 * 12.74 11.16 * -12

Sales and related

10.4 10.3   19.50 18.22 * -7

Office and administrative support

15.7 16.6 * 17.91 17.04 * -5

Farming, fishing, and forestry

0.3 0.1 * 13.37 13.80   3

Construction and extraction

4.0 5.0 * 23.51 20.86 * -11

Installation, maintenance, and repair

3.9 4.3 * 22.45 21.22 * -5

Production

6.5 4.9 * 17.88 16.87 * -6

Transportation and material moving

6.9 5.8 * 17.34 16.66 * -4

Footnotes:
(1) A positive percent difference measures how much the mean wage in the Oklahoma City, OK Metropolitan Statistical Area is above the national mean wage, while a negative difference reflects a lower wage.

Note: * The percent share of employment or mean hourly wage for this area is significantly different from the national average 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. Oklahoma City had 30,400 jobs in construction and extraction, accounting for 5.0 percent of local area employment, significantly higher than the 4.0-percent national share. However, the local wage for this occupational group was significantly below the U.S. average. At $20.86 an hour, the mean wage for Oklahoma City construction and extraction workers was about 11 percent below the $23.51 national average.

Some of the larger detailed occupations within the construction and extraction group included first-line supervisors of construction trades and extraction workers (3,780), construction laborers (3,260), and plumbers, pipefitters, and steamfitters (2,980). Among the higher-paying jobs were first-line supervisors of construction trades and extraction workers, as well as oil and gas rotary drill operators, with mean hourly wages of $30.55 and $29.09, respectively. At the lower end of the wage scale were construction laborers ($14.11) and cement masons and concrete finishers ($14.41). (Detailed occupational data for construction and extraction workers are presented in table 1; for a complete listing of all detailed occupations, go to www.bls.gov/oes/current/oes_36420.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 Oklahoma City metropolitan area, above average concentrations of employment were found in many of the occupations within the construction and extraction group. For instance, oil and gas derrick operators were employed at 10.0 times the national average in Oklahoma City, and oil and gas rotary drill operators at 8.5 times the national rate. Both location quotients were among the highest in all metropolitan areas for these particular occupations. On the other hand, operating engineers and other construction equipment operators had a location quotient of 1.0 in Oklahoma City, indicating that this 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 Oklahoma Employment Security Commission.

Note

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.


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. 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 Oklahoma City Metropolitan Statistical Area included 4,070 establishments with a response rate of 77 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 Oklahoma City Metropolitan Statistical Area includes Canadian, Cleveland, Grady, Lincoln, Logan, McClain, and Oklahoma Counties in Oklahoma.

Additional information

OES data are available on our regional web page at www.bls.gov/regions/southwest. 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, Oklahoma City, OK Metropolitan Statistical Area, May 2016
Occupation(1) Employment Mean wages
Level(2) Location
quotient(3)
Hourly Annual(4)

Construction and extraction occupations

30,400 1.3 $20.86 $43,380

First-line supervisors of construction trades and extraction workers

3,780 1.6 30.55 63,540

Brickmasons and blockmasons

200 0.7 21.61 44,950

Stonemasons

(5) (5) 19.06 39,650

Carpenters

1,910 0.7 19.01 39,530

Carpet installers

(5) (5) 14.25 29,630

Floor layers, except carpet, wood, and hard tiles

100 2.3 15.44 32,110

Tile and marble setters

130 0.8 14.42 30,000

Cement masons and concrete finishers

1,240 1.7 14.41 29,960

Construction laborers

3,260 0.8 14.11 29,350

Paving, surfacing, and tamping equipment operators

450 2.0 17.56 36,530

Operating engineers and other construction equipment operators

1,500 1.0 19.43 40,420

Drywall and ceiling tile installers

410 1.0 19.16 39,840

Electricians

1,910 0.7 22.65 47,110

Glaziers

(5) (5) 16.18 33,650

Insulation workers, floor, ceiling, and wall

(5) (5) 20.88 43,430

Insulation workers, mechanical

(5) (5) 24.71 51,400

Painters, construction and maintenance

1,050 1.1 18.71 38,930

Pipelayers

220 1.3 18.74 38,990

Plumbers, pipefitters, and steamfitters

2,980 1.7 23.76 49,410

Reinforcing iron and rebar workers

80 1.0 16.61 34,560

Roofers

610 1.2 14.60 30,360

Sheet metal workers

2,490 4.3 23.72 49,330

Structural iron and steel workers

260 0.9 15.48 32,200

Helpers--carpenters

160 1.1 13.98 29,070

Helpers-electricians

990 3.2 15.89 33,040

Helpers-pipelayers, plumbers, pipefitters, and steamfitters

370 1.6 14.22 29,580

Helpers-roofers

(5) (5) 15.14 31,480

Helpers, construction trades, all other

70 0.7 15.41 32,050

Construction and building inspectors

820 2.0 25.60 53,250

Hazardous materials removal workers

90 0.5 17.55 36,510

Highway maintenance workers

690 1.1 16.12 33,530

Septic tank servicers and sewer pipe cleaners

190 1.7 16.56 34,440

Derrick operators, oil and gas

500 10.0 24.61 51,200

Rotary drill operators, oil and gas

640 8.5 29.09 60,520

Service unit operators, oil, gas, and mining

550 3.0 20.52 42,680

Earth drillers, except oil and gas

(5) (5) 17.68 36,770

Roustabouts, oil and gas

1,130 5.1 19.78 41,140

Helpers-extraction workers

250 3.3 16.31 33,920

Footnotes:
(1) For a complete listing of all detailed occupations in the Oklahoma City, OK Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_36420.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) Estimates not released.

 

Last Modified Date: Tuesday, July 11, 2017