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News Release Information

Monday, August 08, 2022

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  • (312) 353-1138

Occupational Employment and Wages in Dayton — May 2021

Workers in the Dayton, OH Metropolitan Statistical Area had an average (mean) hourly wage of $26.42 in May 2021, 6 percent below 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 lower than their respective national averages in 18 of the 22 major occupational groups, including legal, computer and mathematical, and management. Two groups had significantly higher wages than their respective national averages: life, physical, and social science and architecture and engineering.

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

Table A. Occupational employment and wages by major occupational group, United States and the Dayton metropolitan area, and measures of statistical significance, May 2021
Major occupational group Percent of total employment Mean hourly wage
United States Dayton United States Dayton Percent difference (1)

Total, all occupations

100.0 100.0 $28.01 $26.42* -6


6.3 5.1* 59.31 52.59* -11

Business and financial operations

6.4 6.9* 39.72 38.53* -3

Computer and mathematical

3.3 3.9* 48.01 40.74* -15

Architecture and engineering

1.7 2.9* 44.10 45.24* 3

Life, physical, and social science

0.9 0.9 38.81 41.74* 8

Community and social service

1.6 1.6 25.94 24.66* -5


0.8 0.6* 54.38 37.70* -31

Educational instruction and library

5.8 6.1* 29.88 29.94 0

Arts, design, entertainment, sports, and media

1.3 1.1* 31.78 26.31* -17

Healthcare practitioners and technical

6.2 8.2* 43.80 40.18* -8

Healthcare support

4.7 4.4* 16.02 15.62* -2

Protective service

2.4 2.0* 25.68 25.00* -3

Food preparation and serving related

8.0 8.6* 14.16 12.69* -10

Building and grounds cleaning and maintenance

2.9 2.8* 16.23 15.78* -3

Personal care and service

1.8 1.4* 16.17 14.80* -8

Sales and related

9.4 8.5* 22.15 20.22* -9

Office and administrative support

13.0 11.9* 20.88 19.79* -5

Farming, fishing, and forestry

0.3 0.1* 16.70 16.33 -2

Construction and extraction

4.2 2.7* 26.87 25.73* -4

Installation, maintenance, and repair

4.0 3.4* 25.66 24.31* -5


6.0 8.3* 20.71 19.81* -4

Transportation and material moving

9.0 8.5* 19.88 18.30* -8

(1) A positive percent difference measures how much the mean wage in the Dayton, OH 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. Dayton had 29,570 jobs in production, accounting for 8.3 percent of local area employment, significantly higher than the 6.0-percent share nationally. The average hourly wage for this occupational group locally was $19.81, significantly below the national wage of $20.71.

Some of the larger detailed occupations within the production group included miscellaneous assemblers and fabricators (4,730); machinists (2,230); inspectors, testers, sorters, samplers, and weighers (2,200); and first-line supervisors of production and operating workers (2,030). Among the higher-paying jobs in this group were first-line supervisors of production and operating workers and stationary engineers and boiler operators, with mean hourly wages of $31.44 and $29.57, respectively. At the lower end of the wage scale were pressers, textile, garment, and related materials ($12.35) and laundry and dry-cleaning workers ($12.61). (Detailed data for the production 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 Dayton area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, engine and other machine assemblers were employed at 4.8 times the national rate in Dayton, and multiple machine tool setters, operators, and tenders, metal and plastic, at 4.7 times the U.S. average. Food batchmakers had a location quotient of 1.0 in Dayton, 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 Ohio Department of Job and Family Services.

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 and the Monthly Labor Review article at OEWS estimates for the years 2015-19 were recalculated using the new estimation method and are available as research estimates at

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

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 Dayton, OH Metropolitan Statistical Area included 2,793 establishments with a response rate of 67 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 Dayton, OH Metropolitan Statistical Area includes Greene, Miami, and Montgomery Counties.

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 production occupations, Dayton metropolitan area, May 2021
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production occupations

29,570 1.4 $19.81 $41,200

First-line supervisors of production and operating workers

2,030 1.3 31.44 65,390

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

1,210 1.8 17.76 36,930

Engine and other machine assemblers

550 4.8 21.85 45,450

Structural metal fabricators and fitters

70 0.5 21.08 43,850

Fiberglass laminators and fabricators

40 0.8 17.94 37,310

Miscellaneous assemblers and fabricators

4,730 1.4 17.09 35,550


350 0.8 14.57 30,300

Butchers and meat cutters

380 1.0 16.09 33,470

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

40 0.8 17.44 36,270

Food batchmakers

390 1.0 16.94 35,220

Food processing workers, all other

130 1.1 15.42 32,070

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

250 1.7 18.36 38,180

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

1,150 2.6 18.77 39,040

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

650 3.8 18.88 39,260

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

120 2.4 22.14 46,060

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

110 2.8 22.85 47,520


2,230 2.7 22.27 46,320

Model makers, metal and plastic

30 3.7 20.54 42,730

Foundry mold and coremakers

60 1.6 17.81 37,040

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

1,160 2.8 16.41 34,130

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

1,610 4.7 19.40 40,360

Tool and die makers

530 3.3 25.45 52,930

Welders, cutters, solderers, and brazers

930 0.9 22.06 45,890

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

50 0.6 19.39 40,340

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

90 2.6 18.58 38,640

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

260 3.1 17.92 37,270

Metal workers and plastic workers, all other

150 3.1 19.37 40,290

Prepress technicians and workers

70 1.1 20.25 42,130

Printing press operators

460 1.3 19.02 39,560

Print binding and finishing workers

110 1.1 17.01 35,390

Laundry and dry-cleaning workers

590 1.5 12.61 26,230

Pressers, textile, garment, and related materials

50 0.8 12.35 25,680

Sewing machine operators

620 2.1 15.18 31,560

Cabinetmakers and bench carpenters

150 0.6 20.18 41,970

Sawing machine setters, operators, and tenders, wood

(5) (5) 16.53 34,380

Stationary engineers and boiler operators

60 0.8 29.57 61,500

Water and wastewater treatment plant and system operators

300 1.0 24.91 51,800

Chemical equipment operators and tenders

200 0.8 21.91 45,570

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

70 0.6 19.19 39,910

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

120 1.5 20.73 43,110

Mixing and blending machine setters, operators, and tenders

210 0.8 18.75 38,990

Cutting and slicing machine setters, operators, and tenders

240 1.7 17.88 37,190

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

180 1.3 16.51 34,340

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

50 1.3 20.44 42,510

Inspectors, testers, sorters, samplers, and weighers

2,200 1.6 20.44 42,520

Jewelers and precious stone and metal workers

50 0.8 22.41 46,620

Dental laboratory technicians

80 1.0 21.29 44,280

Medical appliance technicians

60 1.5 19.56 40,680

Ophthalmic laboratory technicians

60 1.2 18.53 38,550

Packaging and filling machine operators and tenders

540 0.6 18.08 37,600

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

320 0.9 20.20 42,020

Computer numerically controlled tool operators

850 2.1 21.64 45,010

Computer numerically controlled tool programmers

170 2.7 28.26 58,770

Adhesive bonding machine operators and tenders

50 1.7 22.53 46,860

Molders, shapers, and casters, except metal and plastic

130 1.3 18.52 38,520

Paper goods machine setters, operators, and tenders

160 0.7 20.89 43,460

Helpers--production workers

340 0.7 16.54 34,400

Production workers, all other

470 0.9 17.41 36,220

(1) For a complete listing of all detailed occupations in the Dayton, OH 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.


Last Modified Date: Monday, August 08, 2022