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News Release Information

20-1051-DAL
Tuesday, May 19, 2020

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Technical information:
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  • (972) 850-4800

Occupational Employment and Wages in Tulsa – May 2019

Workers in the Tulsa, OK Metropolitan Statistical Area had an average (mean) hourly wage of $23.03 in May 2019, about 10 percent below the nationwide average of $25.72, the U.S. Bureau of Labor Statistics reported today. Acting Regional Commissioner Susan Mendez noted that, after testing for statistical significance, 19 of the 22 major occupational groups had average wages in the local area that were significantly lower than their respective national averages, including computer and mathematical, educational instruction and library, and protective service. No local group had wages that were significantly above their respective national average.

When compared to the nationwide distribution, Tulsa area employment was more highly concentrated in 6 of the 22 occupational groups, including production, office and administrative support, and installation, maintenance, and repair. Conversely, thirteen groups had employment shares significantly below their national representation, including educational instruction and library, computer and mathematical, and building and grounds cleaning and maintenance. (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, OK Metropolitan Statistical Area, and measures of statistical significance, May 2019
Major occupational groupPercent of total employmentMean hourly wage
United StatesTulsaUnited StatesTulsaPercent difference (1)

Total, all occupations

100.0100.0$25.72$23.03*-10

Management

5.55.458.8853.51*-9

Business and financial operations

5.65.0*37.5632.86*-13

Computer and mathematical

3.12.3*45.0834.35*-24

Architecture and engineering

1.82.5*42.6940.41*-5

Life, physical, and social science

0.90.6*37.2840.148

Community and social service

1.51.1*24.2720.53*-15

Legal

0.80.6*52.7146.64*-12

Educational instruction and library

6.15.0*27.7521.35*-23

Arts, design, entertainment, sports, and media

1.41.0*29.7922.29*-25

Healthcare practitioners and technical

5.96.040.2138.20-5

Healthcare support

4.43.9*14.9113.79*-8

Protective service

2.41.9*23.9819.56*-18

Food preparation and serving related

9.29.312.8210.59*-17

Building and grounds cleaning and maintenance

3.02.3*15.0312.93*-14

Personal care and service

2.21.8*15.0313.47*-10

Sales and related

9.810.4*20.7019.68*-5

Office and administrative support

13.314.3*19.7318.41*-7

Farming, fishing, and forestry

0.30.1*15.0713.59*-10

Construction and extraction

4.24.8*25.2822.12*-13

Installation, maintenance, and repair

3.94.9*24.1022.84*-5

Production

6.28.8*19.3019.481

Transportation and material moving

8.58.0*18.2317.11*-6

Footnotes:
(1) A positive percent difference measures how much the mean wage in the Tulsa, OK Metropolitan Statistical Area is above the national mean wage, while a negative difference reflects a lower wage.
* The mean hourly wage or percent share of employment 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 39,220 jobs in production, accounting for 8.8 percent of local area employment, significantly higher than the 6.2-percent share nationally. The average hourly wage for this occupational group locally was $19.48, compared to the national wage of $19.30.

Some of the larger detailed occupations within the production group included welders, cutters, solderers, and brazers (4,310), first-line supervisors of production and operating workers (3,240), and machinists (2,260). Among the higher-paying jobs in this group were petroleum pump system operators, refinery operators, and gaugers, as well as gas plant operators, with mean hourly wages of $37.24 and $30.39, respectively. At the lower end of the wage scale were laundry and dry-cleaning workers ($10.36) and butchers and meat cutters ($11.91). (Detailed data for the production occupations are presented in table 1; for a complete listing of detailed occupations available go to 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 area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, aircraft structure, surfaces, rigging, and systems assemblers were employed at 8.0 times the national rate in Tulsa, and petroleum pump system operators, refinery operators, and gaugers, at 4.6 times the U.S. average. On the other hand, printing press operators had a location quotient of 1.0 in Tulsa, 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 Oklahoma Employment Security Commission.

Changes to the Occupational Employment Statistics (OES) Data

With the May 2019 estimates, the OES program has begun implementing the 2018 Standard Occupational Classification (SOC) system. Each set of OES estimates is calculated from six panels of survey data collected over three years. Because the May 2019 estimates are based on a combination of survey data collected using the 2010 SOC and survey data collected using the 2018 SOC, these estimates use a hybrid of the two classification systems that contains some combinations of occupations that are not found in either the 2010 or 2018 SOC. These combinations may include occupations from more than one 2018 SOC minor group or broad occupation. Therefore, OES will not publish data for some 2018 SOC minor groups and broad occupations in the May 2019 estimates. The May 2021 estimates, to be published in Spring 2022, will be the first OES estimates based entirely on survey data collected using the 2018 SOC.

In addition, the OES program has replaced some 2018 SOC detailed occupations with SOC broad occupations or OES-specific aggregations. These include home health aides and personal care aides, for which OES will publish only the 2018 SOC broad occupation 31-1120 Home Health and Personal Care Aides.

For more information on the occupational classification system used in the May 2019 OES estimates, please see www.bls.gov/oes/soc_2018.htm and www.bls.gov/oes/oes_ques.htm#qf10.

The May 2019 OES estimates use the metropolitan area definitions delineated in Office of Management and Budget (OMB) Bulletin 17-01, which add a new Metropolitan Statistical Area (MSA) for Twin Falls, Idaho. For more information on the area definitions used in the May 2019 estimates, please see www.bls.gov/oes/current/msa_def.htm.


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 580 areas, including states and the District of Columbia, metropolitan statistical areas (MSAs), nonmetropolitan areas, and territories; national industry-specific estimates at the NAICS sector, 3-digit, most 4-digit, 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.

The OES survey is a cooperative effort between BLS and the State Workforce Agencies (SWAs). BLS funds the survey and provides the procedures and technical support, while the State Workforce Agencies collect most of the data. OES estimates are constructed from a sample of about 1.1 million establishments. Each year, two semiannual panels of approximately 180,000 to 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 2019 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2019, November 2018, May 2018, November 2017, May 2017, and November 2016. The unweighted sample employment of 83 million across all six semiannual panels represents approximately 57 percent of total national employment. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 71 percent based on establishments and 68 percent based on weighted sampled employment. The sample in the Tulsa, OK Metropolitan Statistical Area included 3,287 establishments with a response rate of 78 percent. For more information about OES concepts and methodology, go to www.bls.gov/oes/current/oes_tec.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.

The May 2019 OES estimates are the first set of OES estimates to be based in part on survey data collected using the 2018 SOC. These estimates use a hybrid of the 2010 and 2018 SOC systems. More information on the hybrid classification system is available at www.bls.gov/oes/soc_2018.htm.

The May 2019 OES estimates are based on the 2017 North American Industry Classification System (NAICS). More 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 Tulsa, OK Metropolitan Statistical Area includes Creek, Okmulgee, Osage, Pawnee, Rogers, Tulsa, and Wagoner Counties.

For more information

Answers to frequently asked questions about the OES data are available at www.bls.gov/oes/oes_ques.htm. Detailed information about the OES program is available at www.bls.gov/oes/oes_doc.htm.

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 for production occupations, Tulsa, OK Metropolitan Statistical Area, May 2019
Occupation (1)EmploymentMean wages
Level (2)Location quotient (3)HourlyAnnual (4)

Production occupations

39,2201.4$19.48$40,530

First-line supervisors of production and operating workers

3,2401.729.6961,750

Aircraft structure, surfaces, rigging, and systems assemblers

1,0408.020.3542,330

Coil winders, tapers, and finishers

(5)(5)16.4634,230

Electrical, electronic, and electromechanical assemblers, except coil winders, tapers, and finishers

1,6301.915.9233,110

Engine and other machine assemblers

2001.420.5142,670

Structural metal fabricators and fitters

6602.919.4440,440

Fiberglass laminators and fabricators

(5)(5)14.7930,770

Miscellaneous assemblers and fabricators

5,0501.215.1531,510

Bakers

3300.612.3625,710

Butchers and meat cutters

4101.011.9124,770

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

801.316.5134,340

Food batchmakers

2100.414.5930,340

Food cooking machine operators and tenders

1201.313.3227,700

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

1300.622.1546,070

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

(5)(5)15.9733,210

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

1701.718.1237,690

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

1,1301.916.5934,510

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

1504.719.2740,090

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

5802.514.8930,970

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

1902.220.5442,710

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

801.517.5336,470

Machinists

2,2602.020.9743,630

Foundry mold and coremakers

1402.711.4023,710

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

2700.514.9231,020

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

(5)(5)17.6436,680

Tool and die makers

1700.826.2254,540

Welders, cutters, solderers, and brazers

4,3103.521.5444,810

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

1301.218.6838,850

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

2304.018.6838,850

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

1401.118.9139,340

Tool grinders, filers, and sharpeners

(5)(5)18.8039,110

Prepress technicians and workers

300.418.6138,710

Printing press operators

5001.014.6430,450

Laundry and dry-cleaning workers

6801.110.3621,550

Pressers, textile, garment, and related materials

1601.49.7520,270

Sewing machine operators

1100.312.9026,840

Cabinetmakers and bench carpenters

4001.315.8532,970

Sawing machine setters, operators, and tenders, wood

700.514.5330,220

Woodworking machine setters, operators, and tenders, except sawing

500.214.0029,130

Power plant operators

700.738.8380,770

Stationary engineers and boiler operators

1301.330.3363,080

Water and wastewater treatment plant and system operators

3300.918.1437,720

Gas plant operators

1503.530.3963,210

Petroleum pump system operators, refinery operators, and gaugers

5604.637.2477,470

Chemical equipment operators and tenders

1500.627.6257,460

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

1001.015.6932,630

Grinding and polishing workers, hand

2202.515.5332,310

Mixing and blending machine setters, operators, and tenders

2400.624.4350,820

Cutters and trimmers, hand

702.312.6026,210

Cutting and slicing machine setters, operators, and tenders

1500.914.9731,140

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

2801.317.0435,450

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

1001.817.8037,020

Inspectors, testers, sorters, samplers, and weighers

2,7801.622.1045,970

Jewelers and precious stone and metal workers

(5)(5)16.1933,670

Dental laboratory technicians

1201.221.8645,460

Packaging and filling machine operators and tenders

6400.516.0933,480

Painting, coating, and decorating workers

701.718.3438,140

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

1,2202.818.5538,590

Computer numerically controlled tool operators

1,7503.821.1744,030

Computer numerically controlled tool programmers

1001.327.0556,260

Adhesive bonding machine operators and tenders

1303.225.2252,450

Cleaning, washing, and metal pickling equipment operators and tenders

1502.913.8828,860

Molders, shapers, and casters, except metal and plastic

1701.318.0137,470

Paper goods machine setters, operators, and tenders

3801.323.1048,050

Helpers--production workers

1,1901.314.1529,430

Production workers, all other

5400.815.6332,520

Footnotes:
(1) For a complete listing of all detailed occupations in the Tulsa, OK Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_46140.htm.
(2) Estimates for detailed occupations may not sum to the totals due to rounding, and because the totals may include occupations that are 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.

 

Last Modified Date: Tuesday, May 19, 2020