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News Release Information

Tuesday, September 26, 2023

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Occupational Employment and Wages in Dallas-Fort Worth-Arlington — May 2022

Workers in the Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area had an average (mean) hourly wage of $29.41 in May 2022, 1 percent below the nationwide average of $29.76, the U.S. Bureau of Labor Statistics reported today. Assistant Commissioner for Regional Operations Michael Hirniak noted that, after testing for statistical significance, wages in the local area were lower than their respective national averages in 17 of the 22 major occupational groups, including arts, design, entertainment, sports, and media; life, physical, and social science; and construction and extraction. Three groups had significantly higher wages than their respective national averages, including legal and also transportation and material moving.

When compared to the nationwide distribution, Dallas area employment was more highly concentrated in 7 of the 22 occupational groups, including management, office and administrative support, and transportation and material moving. Thirteen groups had employment shares significantly below their national representation, including healthcare support, healthcare practitioners and technical, and production. (See table A.)

Table A. Occupational employment and wages by major occupational group, United States and the Dallas metropolitan area, and measures of statistical significance, May 2022
Major occupational group Percent of total employment Mean hourly wage ($)
United States Dallas United States Dallas Percent difference (1)

Total, all occupations

100.0 100.0 29.76 29.41* -1


6.7 8.3* 63.08 60.81* -4

Business and financial operations

6.5 7.1* 41.39 40.31* -3

Computer and mathematical

3.4 4.5* 51.99 49.65* -5

Architecture and engineering

1.7 1.7 45.52 44.93 -1

Life, physical, and social science

0.9 0.6* 40.21 35.41* -12

Community and social service

1.6 0.9* 26.81 26.34* -2


0.8 0.7* 59.87 68.26* 14

Educational instruction and library

5.7 5.2* 30.41 28.44* -6

Arts, design, entertainment, sports, and media

1.4 1.1* 36.78 30.38* -17

Healthcare practitioners and technical

6.1 5.2* 46.52 44.13* -5

Healthcare support

4.6 3.2* 17.10 15.91* -7

Protective service

2.3 2.0* 25.97 24.65* -5

Food preparation and serving related

8.5 8.5 15.45 13.99* -9

Building and grounds cleaning and maintenance

2.9 2.4* 17.26 15.55* -10

Personal care and service

1.9 1.6* 17.41 15.76* -9

Sales and related

8.9 9.2* 24.22 24.24 0

Office and administrative support

12.6 14.1* 21.90 21.75* -1

Farming, fishing, and forestry

0.3 (2)* 18.21 19.73* 8

Construction and extraction

4.1 3.9* 28.08 24.20* -14

Installation, maintenance, and repair

3.9 4.2* 26.77 26.07* -3


5.9 5.0* 21.81 21.08* -3

Transportation and material moving

9.2 10.5* 21.12 21.58* 2

(1) A positive percent difference measures how much the mean wage in the Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area is above the national mean wage, while a negative difference reflects a lower wage.
(2) Indicates a value of less than 0.05 percent.
* 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—transportation and material moving—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Dallas had 401,200 jobs in transportation and material moving, accounting for 10.5 percent of local area employment, significantly higher than the 9.2-percent share nationally. The average hourly wage for this occupational group locally was $21.58, significantly above the national wage of $21.12.

Some of the larger detailed occupations within the transportation and material moving group included stockers and order fillers (90,790), laborers and hand freight, stock, and material movers (82,030), and heavy and tractor-trailer truck drivers (61,560). Among the higher-paying jobs in this group were transportation inspectors and wellhead pumpers, with mean hourly wages of $45.08 and $35.70, respectively. At the lower end of the wage scale were parking attendants ($13.31) and cleaners of vehicles and equipment ($14.19). (Detailed data for the transportation and material moving occupations are presented in table 1; for a complete listing of detailed occupations available go to

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 Dallas area, above-average concentrations of employment were found in some of the occupations within the transportation and material moving group. For instance, flight attendants were employed at 2.7 times the national rate in Dallas, and airline pilots, copilots, and flight engineers, at 2.4 times the U.S. average. Refuse and recyclable material collectors had a location quotient of 1.0 in Dallas, indicating that this particular occupation’s local and national employment shares were similar.

These statistics are from the Occupational Employment and Wage Statistics (OEWS) survey, a federal-state cooperative program between BLS and State Workforce Agencies, in this case, the Texas Workforce Commission.

Changes to the Occupational Employment and Wage Statistics (OEWS) Data

The May 2022 OEWS estimates use the model-based (MB3) estimation method implemented with the May 2021 estimates release. Additional updates were made to the MB3 wage processing methodology for May 2022. For more information, see the May 2022 Survey Methods and Reliability Statement.

The May 2022 estimates are the first OEWS estimates to be produced using the 2022 NAICS, which replaces the 2017 NAICS used for the May 2017-May 2021 estimates. See North American Industry Classification System (NAICS) at BLS for details.

Technical Note

The Occupational Employment and Wage Statistics (OEWS) survey is a semiannual survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. The OEWS 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. OEWS data are available at

The OEWS 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. OEWS estimates are constructed from a sample of about 1.1 million establishments. Each year, two semiannual panels of approximately 179,000 to 187,000 sampled establishments are contacted, one panel in May and the other in November. Responses are obtained by Internet or other electronic means, mail, email, telephone, or personal visit. The May 2022 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2022, November 2021, May 2021, November 2020, May 2020, and November 2019. The unweighted sampled employment of 80 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 65.4 percent based on establishments and 62.5 percent based on weighted sampled employment. The sample in the Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area included 10,720 establishments with a response rate of 39 percent. For more information about OEWS concepts and methodology, go to

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.

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 Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area includes Collin County, Dallas County, Denton County, Ellis County, Hood County, Hunt County, Johnson County, Kaufman County, Parker County, Rockwall County, Somervell County, Tarrant County, and Wise County.

For more information

Answers to frequently asked questions about the OEWS data are available at Detailed information about the OEWS program is available at

Information in this release will be made available to individuals with sensory impairments upon request. Voice phone: (202) 691-5200; Telecommunications Relay Service: 7-1-1.

Table 1. Employment and wage data for transportation and material moving occupations, Dallas metropolitan area, May 2022
Occupation (1) Employment Mean wages ($)
Level (2) Location quotient (3) Hourly Annual (4)

Transportation and material moving occupations

401,200 1.2 21.58 44,880

Aircraft cargo handling supervisors

670 3.3 27.06 56,290

First-line supervisors of transportation and material moving workers, except aircraft cargo handling supervisors

17,350 1.1 28.63 59,550

Airline pilots, copilots, and flight engineers

5,540 2.4 (6) 221,090

Commercial pilots

2,060 1.6 (6) 132,720

Airfield operations specialists

500 1.3 (5) (5)

Flight attendants

7,550 2.7 (6) 64,160

Ambulance drivers and attendants, except emergency medical technicians

80 0.3 16.94 35,240

Driver/sales workers

10,260 0.8 18.37 38,210

Heavy and tractor-trailer truck drivers

61,560 1.2 24.73 51,440

Light truck drivers

26,380 1.0 22.27 46,320

Bus drivers, school

7,380 0.8 20.72 43,090

Bus drivers, transit and intercity

820 0.2 19.56 40,690

Shuttle drivers and chauffeurs

2,710 0.5 16.56 34,440

Motor vehicle operators, all other

1,090 0.9 14.17 29,460

Railroad conductors and yardmasters

120 0.1 30.61 63,680

Captains, mates, and pilots of water vessels

100 0.1 55.41 115,250

Parking attendants

3,980 1.5 13.31 27,680

Automotive and watercraft service attendants

1,660 0.7 15.41 32,060

Aircraft service attendants

180 0.4 20.34 42,310

Traffic technicians

160 0.9 24.28 50,500

Transportation inspectors

1,090 1.7 45.08 93,770

Passenger attendants

500 1.5 16.41 34,130

Transportation workers, all other

100 0.3 25.88 53,820

Conveyor operators and tenders

460 0.7 20.24 42,100

Crane and tower operators

1,290 1.1 29.42 61,190

Industrial truck and tractor operators

38,420 1.9 20.35 42,330

Cleaners of vehicles and equipment

8,620 0.9 14.19 29,520

Laborers and freight, stock, and material movers, hand

82,030 1.1 17.38 36,150

Machine feeders and offbearers

1,520 1.2 17.29 35,970

Packers and packagers, hand

19,730 1.2 15.32 31,870

Stockers and order fillers

90,790 1.2 17.38 36,150

Pump operators, except wellhead pumpers

590 2.1 29.06 60,440

Wellhead pumpers

950 2.5 35.70 74,250

Refuse and recyclable material collectors

3,480 1.0 19.49 40,540

Material moving workers, all other

90 0.1 21.96 45,690

(1) For a complete listing of all detailed occupations in the Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area, see
(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.
(6) Wages for some occupations that do not generally work year-round, full time, are reported either as hourly wages or annual salaries depending on how they are typically paid.


Last Modified Date: Tuesday, September 26, 2023