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16-1327-DAL
Wednesday, June 29, 2016

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Occupational Employment and Wages in Tulsa, May 2015

Workers in the Tulsa Metropolitan Statistical Area had an average (mean) hourly wage of $21.02 in May 2015, about 10 percent below the nationwide average of $23.23, 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 lower than their respective national averages in 16 of the 22 major groups, including computer and mathematical; education, training, and library; and construction and extraction. Only one local group–production occupations–had wages that were measurably higher than the national average. Wage levels in the five 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 6 of the 22 occupational groups, including production; construction and extraction; and management. Conversely, 11 groups had employment shares significantly below their national representation, including education, training, and library; business and financial operations; and computer and mathematical. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Tulsa Metropolitan Statistical Area, and measures of statistical significance, May 2015
Major occupational group Percent of total employment Mean hourly wage
United
States
Tulsa United
States
Tulsa Percent
difference(1)

Total, all occupations

100.0% 100.0%   $23.23 $21.02 * -10

Management

5.0 5.8 * 55.30 47.94 * -13

Business and financial operations

5.1 4.0 * 35.48 30.69 * -14

Computer and mathematical

2.9 1.9 * 41.43 33.53 * -19

Architecture and engineering

1.8 2.0 * 39.89 38.68 * -3

Life, physical, and social science

0.8 0.5 * 34.24 34.25   0

Community and social service

1.4 1.2 * 22.19 19.54 * -12

Legal

0.8 0.8   49.74 49.23   -1

Education, training, and library

6.2 5.0 * 25.48 20.74 * -19

Arts, design, entertainment, sports, and media

1.3 0.8 * 27.39 24.09 * -12

Healthcare practitioners and technical

5.8 5.4 * 37.40 35.29   -6

Healthcare support

2.9 2.9   14.19 13.61 * -4

Protective service

2.4 2.0 * 21.45 18.15 * -15

Food preparation and serving related

9.1 9.3   10.98 9.70 * -12

Building and grounds cleaning and maintenance

3.2 2.5 * 13.02 11.33 * -13

Personal care and service

3.1 2.3 * 12.33 10.65 * -14

Sales and related

10.5 11.2 * 18.90 16.74 * -11

Office and administrative support

15.8 16.2   17.47 16.48 * -6

Farming, fishing, and forestry

0.3 0.1 * 12.67 12.53   -1

Construction and extraction

4.0 4.9 * 22.88 19.63 * -14

Installation, maintenance, and repair

3.9 4.6 * 22.11 20.20 * -9

Production

6.6 9.5 * 17.41 18.28 * 5

Transportation and material moving

6.9 7.0   16.90 18.22   8

(1) A positive percent difference measures how much the mean wage in Tulsa 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–production–was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Tulsa had 41,320 jobs in production, accounting for 9.5 percent of local area employment, significantly higher than the 6.6-percent national share. The local average hourly wage for this occupational group was $18.28, about 5 percent above the national average of $17.41.

Some of the larger detailed occupations within the production group included team assemblers (5,290), welders, cutters, solderers, and brazers (4,150), and first-line supervisors of production and operating workers (3,030). Among the higher paying jobs were petroleum pump system operators, refinery operators, and gaugers, as well as first-line supervisors of production and operating workers, with mean hourly wages of $43.65 and $27.57, respectively. At the lower end of the wage scale were bakers ($10.42) and laundry and dry-cleaning workers ($10.72). (Detailed data for production workers are presented in table 1; for a complete listing of detailed occupations see www.bls.gov/oes/current/oes_46140.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 Tulsa metropolitan area, above average concentrations of employment were found in many of the occupations within the production group. For instance, metal and plastic drilling and boring machine tool setters, operators, and tenders were employed at 7.8 times the national rate in Tulsa, and gas plant operators, at 6.5 times the U.S. average. Both location quotients were among the highest in all metropolitan areas for these particular occupations. On the other hand, butchers and meat cutters had a location quotient of 1.0 in Tulsa, 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.

Notes on Occupational Employment Statistics Data

With the issuance of data for May 2015, the OES program has incorporated redefined metropolitan area definitions as designated by the Office of Management and Budget. OES data are available for 394 metropolitan areas, 38 metropolitan divisions, and 167 OES-defined nonmetropolitan areas. A listing of the areas and their definitions can be found at www.bls.gov/oes/current/msa_def.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.


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 program produces employment and wage estimates for over 800 occupations for all industries combined in the nation; the 50 states and the District of Columbia; 432 metropolitan areas and divisions; 167 nonmetropolitan areas; and Guam, Puerto Rico, and the U.S. Virgin Islands. National estimates are also available by industry for NAICS sectors, 3-, 4-, and selected 5- and 6-digit industries, and 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. Forms are mailed to approximately 200,000 sampled establishments in May and November each year. May 2015 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2015, November 2014, May 2014, November 2013, May 2013, and November 2012. The overall national response rate for the six panels is 73.5 percent based on establishments and 69.6 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 57.9 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 Tulsa Metropolitan Statistical Area included 3,586 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 2015 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 Tulsa Metropolitan Statistical Area includes Creek, Okmulgee, Osage, Pawnee, Rogers, Tulsa, and Wagoner 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, Tulsa Metropolitan Statistical Area, May 2015
Occupation(1) Employment Mean wages
Level(2) Location
quotient(3)
Hourly Annual(4)

Production occupations

41,320 1.5 $18.28 $38,020

First-line supervisors of production and operating workers

3,030 1.6 27.57 57,340

Coil winders, tapers, and finishers

40 0.9 15.44 32,110

Electrical and electronic equipment assemblers

(5) (5) 14.47 30,090

Electromechanical equipment assemblers

330 2.3 18.28 38,020

Engine and other machine assemblers

220 1.8 15.73 32,720

Structural metal fabricators and fitters

680 2.7 18.15 37,740

Team assemblers

5,290 1.5 15.00 31,210

Assemblers and fabricators, all other

170 0.2 12.16 25,280

Bakers

540 1.0 10.42 21,680

Butchers and meat cutters

440 1.0 11.99 24,940

Meat, poultry, and fish cutters and trimmers

70 0.2 13.19 27,440

Food and tobacco roasting, baking, and drying machine operators and tenders

(5) (5) 14.43 30,020

Food batchmakers

460 1.1 12.17 25,320

Food cooking machine operators and tenders

(5) (5) 15.08 31,360

Food processing workers, all other

80 0.5 12.26 25,500

Computer-controlled machine tool operators, metal and plastic

910 2.0 19.91 41,420

Computer numerically controlled machine tool programmers, metal and plastic

60 0.8 26.97 56,100

Extruding and drawing machine setters, operators, and tenders, metal and plastic

(5) (5) 17.85 37,130

Forging machine setters, operators, and tenders, metal and plastic

80 1.3 21.94 45,630

Rolling machine setters, operators, and tenders, metal and plastic

290 2.9 17.62 36,640

Cutting, punching, & press machine setters, operators, & tenders, metal & plastic

1,130 1.9 15.57 32,390

Drilling and boring machine tool setters, operators, and tenders, metal and plastic

360 7.8 19.05 39,620

Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic

450 1.9 15.51 32,270

Lathe and turning machine tool setters, operators, and tenders, metal and plastic

300 2.3 20.54 42,720

Milling and planing machine setters, operators, and tenders, metal and plastic

80 1.3 17.34 36,060

Machinists

2,450 2.0 19.12 39,780

Metal-refining furnace operators and tenders

140 2.2 13.69 28,480

Foundry mold and coremakers

90 2.3 13.75 28,600

Molding, coremaking, & casting machine setters, operators, & tenders, metal & plastic

360 0.8 12.24 25,470

Multiple machine tool setters, operators, and tenders, metal and plastic

1,200 3.6 16.94 35,230

Tool and die makers

180 0.8 22.14 46,050

Welders, cutters, solderers, and brazers

4,150 3.4 20.02 41,650

Welding, soldering, and brazing machine setters, operators, and tenders

520 3.1 20.84 43,350

Heat treating equipment setters, operators, and tenders, metal and plastic

160 2.5 18.18 37,810

Plating and coating machine setters, operators, and tenders, metal and plastic

310 2.8 17.88 37,190

Tool grinders, filers, and sharpeners

140 4.4 18.48 38,440

Metal workers and plastic workers, all other

70 1.1 17.31 35,990

Prepress technicians and workers

40 0.4 17.60 36,600

Printing press operators

290 0.6 15.74 32,740

Print binding and finishing workers

50 0.3 13.88 28,870

Laundry and dry-cleaning workers

630 1.0 10.72 22,290

Pressers, textile, garment, and related materials

190 1.3 9.36 19,460

Sewing machine operators

150 0.4 11.50 23,910

Tailors, dressmakers, and custom sewers

50 0.8 (5) (5)

Upholsterers

40 0.4 13.15 27,360

Cabinetmakers and bench carpenters

220 0.7 16.17 33,630

Furniture finishers

(5) (5) 16.34 33,990

Sawing machine setters, operators, and tenders, wood

70 0.5 13.33 27,720

Woodworking machine setters, operators, and tenders, except sawing

60 0.2 15.59 32,420

Power plant operators

160 1.4 29.77 61,920

Stationary engineers and boiler operators

(5) (5) 24.80 51,590

Water and wastewater treatment plant and system operators

340 0.9 16.51 34,330

Gas plant operators

340 6.5 26.06 54,200

Petroleum pump system operators, refinery operators, and gaugers

640 4.8 43.65 90,790

Chemical equipment operators and tenders

290 1.4 27.19 56,550

Separating, filtering, clarifying, precipitating, & still machine setters, operators, & tenders

50 0.4 13.83 28,770

Crushing, grinding, and polishing machine setters, operators, and tenders

100 1.0 13.50 28,080

Grinding and polishing workers, hand

210 2.4 13.78 28,670

Mixing and blending machine setters, operators, and tenders

150 0.4 21.07 43,820

Cutting and slicing machine setters, operators, and tenders

160 0.8 14.95 31,090

Extruding, forming, pressing, and compacting machine setters, operators, and tenders

160 0.7 14.23 29,600

Furnace, kiln, oven, drier, and kettle operators and tenders

100 1.6 16.63 34,580

Inspectors, testers, sorters, samplers, and weighers

2,460 1.5 19.70 40,980

Dental laboratory technicians

210 1.7 18.69 38,880

Packaging and filling machine operators and tenders

830 0.7 12.21 25,390

Coating, painting, and spraying machine setters, operators, and tenders

840 3.0 16.68 34,700

Painters, transportation equipment

160 1.0 23.38 48,630

Painting, coating, and decorating workers

(5) (5) 9.57 19,910

Photographic process workers and processing machine operators

110 1.4 10.99 22,860

Cleaning, washing, and metal pickling equipment operators and tenders

50 0.9 14.21 29,560

Molders, shapers, and casters, except metal and plastic

110 0.9 15.33 31,890

Paper goods machine setters, operators, and tenders

540 1.9 22.08 45,930

Helpers-production workers

2,760 2.0 14.37 29,880

Production workers, all other

430 0.6 16.08 33,440

(1) For a complete listing of all detailed occupations in the Tulsa MSA, see www.bls.gov/oes/current/oes_46140.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: Wednesday, June 29, 2016