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News Release Information

22-969-CHI
Friday, August 26, 2022

Contacts Technical information: Media contact:
  • (312) 353-1138

Occupational Employment and Wages in Detroit-Warren-Dearborn — May 2021

Workers in the Detroit-Warren-Dearborn, MI Metropolitan Statistical Area had an average (mean) hourly wage of $28.39 in May 2021, 1 percent above the nationwide average of $28.01, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Jason Palmer noted that, after testing for statistical significance, wages in the local area were higher than their respective national averages in 6 of the 22 major occupational groups, including life, physical, and social science; construction and extraction; and production. Nine groups had significantly lower wages than their respective national averages, including legal; computer and mathematical; and arts, design, entertainment, sports, and media.

When compared to the nationwide distribution, Detroit area employment was more highly concentrated in 5 of the 22 occupational groups, including production, architecture and engineering, and business and financial operations. Thirteen groups had employment shares significantly below their national representation, including educational instruction and library, food preparation and serving related, and office and administrative support. (See table A.)

Table A. Occupational employment and wages by major occupational group, United States and the Detroit metropolitan area, and measures of statistical significance, May 2021
Major occupational groupPercent of total employmentMean hourly wage
United StatesDetroitUnited StatesDetroitPercent difference (1)

Total, all occupations

100.0100.0$28.01$28.39*1

Management

6.36.359.3158.78-1

Business and financial operations

6.47.0*39.7239.24*-1

Computer and mathematical

3.33.448.0143.48*-9

Architecture and engineering

1.74.2*44.1042.83*-3

Life, physical, and social science

0.90.6*38.8140.46*4

Community and social service

1.61.4*25.9424.46*-6

Legal

0.80.9*54.3846.98*-14

Educational instruction and library

5.83.7*29.8828.45*-5

Arts, design, entertainment, sports, and media

1.31.231.7828.25*-11

Healthcare practitioners and technical

6.26.7*43.8042.83-2

Healthcare support

4.74.5*16.0215.56*-3

Protective service

2.41.8*25.6825.42-1

Food preparation and serving related

8.07.0*14.1614.63*3

Building and grounds cleaning and maintenance

2.92.6*16.2315.81*-3

Personal care and service

1.81.5*16.1716.824

Sales and related

9.49.322.1522.54*2

Office and administrative support

13.012.1*20.8821.011

Farming, fishing, and forestry

0.30.1*16.7016.861

Construction and extraction

4.23.4*26.8728.07*4

Installation, maintenance, and repair

4.03.8*25.6625.861

Production

6.09.7*20.7121.89*6

Transportation and material moving

9.08.8*19.8820.86*5

Footnotes:
(1) A positive percent difference measures how much the mean wage in the Detroit-Warren-Dearborn, MI 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. Detroit had 175,010 jobs in production, accounting for 9.7 percent of local area employment, significantly higher than the 6.0-percent share nationally. The average hourly wage for this occupational group locally was $21.89, significantly above the national wage of $20.71.

Some of the larger detailed occupations within the production group included miscellaneous assemblers and fabricators (52,470) and inspectors, testers, sorters, samplers, and weighers (12,690). Among the higher-paying jobs in this group were power distributors and dispatchers with mean hourly wages of $50.57, power plant operators ($42.25), and gas plant operators ($41.75). At the lower end of the wage scale were laundry and dry-cleaning workers ($13.93). (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_19820.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 Detroit area, above-average concentrations of employment were found in some of the occupations within the production group. For instance, model makers, metal and plastic were employed at 19.2 times the national rate in Detroit, and engine and other machine assemblers, at 9.6 times the U.S. average. Butchers and meat cutters had a location quotient of 1.0 in Detroit, 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 Michigan Department of Technology, Management & Budget.

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

With the May 2021 estimates release, the Occupational Employment and Wage Statistics (OEWS) program has implemented a new model-based (MB3) estimation method. For more information, see the May 2021 Survey Methods and Reliability Statement at www.bls.gov/oes/methods_21.pdf and the Monthly Labor Review article at www.bls.gov/opub/mlr/2019/article/model-based-estimates-for-the-occupational-employment-statistics-program.htm. OEWS estimates for the years 2015-19 were recalculated using the new estimation method and are available as research estimates at www.bls.gov/oes/oes-mb3-methods.htm.

The May 2021 OEWS estimates are also the first estimates based entirely on survey data collected using the 2018 Standard Occupational Classification (SOC) system. To improve data quality, the OEWS program aggregates some occupations to the SOC broad occupation level or as OEWS-specific combinations of 2018 SOC detailed occupations.


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 www.bls.gov/oes/tables.htm.

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 2021 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2021, November 2020, May 2020, November 2019, May 2019, and November 2018. The unweighted sampled employment of 82 million across all six semiannual panels represents approximately 62 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 67.2 percent based on establishments and 64.5 percent based on weighted sampled employment. The sample in the Detroit-Warren-Dearborn, MI Metropolitan Statistical Area included 7,022 establishments with a response rate of 69 percent. For more information about OEWS 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.

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 Detroit-Warren-Dearborn, MI Metropolitan Statistical Area includes Lapeer County, Livingston County, Macomb County, Oakland County, St. Clair County, and Wayne County.

For more information

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

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 production occupations, Detroit metropolitan area, May 2021
Occupation (1)EmploymentMean wages
Level (2)Location quotient (3)HourlyAnnual (4)

Production occupations

175,0101.6$21.89$45,540

First-line supervisors of production and operating workers

11,4901.432.9768,580

Coil winders, tapers, and finishers

1000.723.1848,210

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

2,2400.618.7038,900

Engine and other machine assemblers

5,6509.624.8651,710

Structural metal fabricators and fitters

6300.822.6147,030

Fiberglass laminators and fabricators

900.421.1744,030

Miscellaneous assemblers and fabricators

52,4703.121.0043,670

Bakers

2,4201.015.3932,000

Butchers and meat cutters

1,9101.016.4534,220

Meat, poultry, and fish cutters and trimmers

1100.116.8635,080

Slaughterers and meat packers

700.119.6440,850

Food batchmakers

8800.417.3936,170

Food cooking machine operators and tenders

800.215.7932,850

Food processing workers, all other

2200.416.4134,130

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

5500.719.5840,730

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

5503.822.5846,960

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

8902.222.3046,380

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

11,8605.222.3046,380

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

1902.225.1852,380

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

1,3301.520.9543,580

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

8803.520.4942,610

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

4302.222.2146,200

Machinists

8,4702.023.5649,000

Metal-refining furnace operators and tenders

4602.320.6542,950

Pourers and casters, metal

2302.722.4246,630

Model makers, metal and plastic

91019.233.1769,000

Patternmakers, metal and plastic

1305.025.9453,950

Foundry mold and coremakers

3702.221.7945,320

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

5,7602.816.9435,240

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

2,4901.519.7040,970

Tool and die makers

5,2206.430.0762,550

Welders, cutters, solderers, and brazers

5,3701.121.7645,260

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

5901.520.8443,350

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

4502.420.1741,950

Layout workers, metal and plastic

(5)(5)20.3442,310

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

1,0802.616.6534,640

Tool grinders, filers, and sharpeners

1802.319.9441,470

Metal workers and plastic workers, all other

2701.118.2637,970

Prepress technicians and workers

2000.622.4246,640

Printing press operators

1,6500.920.1341,880

Print binding and finishing workers

3600.718.3638,180

Laundry and dry-cleaning workers

2,1501.113.9328,980

Pressers, textile, garment, and related materials

1300.414.5930,350

Sewing machine operators

8700.616.2433,780

Shoe and leather workers and repairers

901.316.0033,280

Tailors, dressmakers, and custom sewers

(5)(5)15.0531,300

Textile knitting and weaving machine setters, operators, and tenders

500.314.3029,740

Fabric and apparel patternmakers

(5)(5)22.0145,770

Upholsterers

5101.418.7438,990

Textile, apparel, and furnishings workers, all other

600.415.7232,690

Cabinetmakers and bench carpenters

3500.320.5942,830

Model makers, wood

5011.933.1668,970

Sawing machine setters, operators, and tenders, wood

2000.315.7932,830

Woodworking machine setters, operators, and tenders, except sawing

5800.717.0835,520

Power distributors and dispatchers

600.550.57105,190

Power plant operators

4901.342.2587,870

Stationary engineers and boiler operators

2800.733.7870,260

Water and wastewater treatment plant and system operators

1,2000.825.3452,710

Gas plant operators

2301.241.7586,830

Petroleum pump system operators, refinery operators, and gaugers

1500.438.1879,410

Plant and system operators, all other

500.323.9449,800

Chemical equipment operators and tenders

1,2800.925.0452,090

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

4300.721.5844,890

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

1800.518.6138,700

Grinding and polishing workers, hand

1800.917.6836,780

Mixing and blending machine setters, operators, and tenders

1,5501.119.9741,540

Cutters and trimmers, hand

1201.217.8137,040

Cutting and slicing machine setters, operators, and tenders

3700.519.9841,550

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

1,1701.617.1935,760

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

2401.326.5555,220

Inspectors, testers, sorters, samplers, and weighers

12,6901.819.8141,200

Jewelers and precious stone and metal workers

3101.025.8853,830

Dental laboratory technicians

5001.222.6647,120

Medical appliance technicians

6503.320.3242,270

Ophthalmic laboratory technicians

1600.719.5740,710

Packaging and filling machine operators and tenders

2,7700.616.8134,960

Painting, coating, and decorating workers

1200.816.4034,110

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

2,1401.219.8841,360

Photographic process workers and processing machine operators

500.717.1835,740

Computer numerically controlled tool operators

4,3602.221.9545,650

Computer numerically controlled tool programmers

9102.829.3060,930

Adhesive bonding machine operators and tenders

700.419.2440,020

Cleaning, washing, and metal pickling equipment operators and tenders

2101.216.9735,290

Etchers and engravers

(5)(5)21.2844,260

Molders, shapers, and casters, except metal and plastic

8801.818.7839,060

Paper goods machine setters, operators, and tenders

8100.719.3540,250

Helpers--production workers

1,9600.818.1737,790

Production workers, all other

3,0901.216.2033,700

Footnotes:
(1) For a complete listing of all detailed occupations in the Detroit-Warren-Dearborn, MI Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_19820.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: Friday, August 26, 2022