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News Release Information

Friday, August 25, 2023

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

Occupational Employment and Wages in Oshkosh-Neenah — May 2022

Workers in the Oshkosh-Neenah, WI Metropolitan Statistical Area had an average (mean) hourly wage of $26.85 in May 2022, 10 percent below the nationwide average of $29.76, 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 17 of the 22 major occupational groups, including legal; arts, design, entertainment, sports, and media; and computer and mathematical. Two groups had significantly higher wages than their respective national averages: construction and extraction and also production.

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

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

Total, all occupations

100.0 100.0 $29.76 $26.85* -10


6.7 4.9* 63.08 61.96* -2

Business and financial operations

6.5 5.6* 41.39 36.45* -12

Computer and mathematical

3.4 2.6* 51.99 41.72* -20

Architecture and engineering

1.7 2.4* 45.52 38.35* -16

Life, physical, and social science

0.9 0.9 40.21 34.57* -14

Community and social service

1.6 1.2* 26.81 24.22* -10


0.8 0.4* 59.87 46.06* -23

Educational instruction and library

5.7 4.5* 30.41 25.16* -17

Arts, design, entertainment, sports, and media

1.4 1.0* 36.78 25.57* -30

Healthcare practitioners and technical

6.1 5.7* 46.52 46.41 0

Healthcare support

4.6 3.9* 17.10 16.23* -5

Protective service

2.3 2.0* 25.97 22.76* -12

Food preparation and serving related

8.5 7.1* 15.45 13.94* -10

Building and grounds cleaning and maintenance

2.9 2.1* 17.26 16.36* -5

Personal care and service

1.9 1.6* 17.41 15.30* -12

Sales and related

8.9 8.0* 24.22 22.97* -5

Office and administrative support

12.6 13.2* 21.90 21.05* -4

Farming, fishing, and forestry

0.3 (2)* 18.21 19.21 5

Construction and extraction

4.1 4.5* 28.08 30.34* 8

Installation, maintenance, and repair

3.9 3.9 26.77 26.61 -1


5.9 14.8* 21.81 22.50* 3

Transportation and material moving

9.2 9.5* 21.12 19.95* -6

(1) A positive percent difference measures how much the mean wage in the Oshkosh-Neenah, WI 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—production—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Oshkosh had 13,480 jobs in production, accounting for 14.8 percent of local area employment, significantly higher than the 5.9-percent share nationally. The average hourly wage for this occupational group locally was $22.50, significantly above the national wage of $21.81.

Some of the larger detailed occupations within the production group included miscellaneous assemblers and fabricators (2,790); paper goods machine setters, operators, and tenders (1,340); and first-line supervisors of production and operating workers (1,030). Among the higher-paying jobs in this group were first-line supervisors of production and operating workers and computer numerically controlled tool programmers, with mean hourly wages of $32.23 and $28.78, respectively. At the lower end of the wage scale were laundry and dry-cleaning workers ($14.19) and bakers ($14.95). (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 Oshkosh area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, paper goods machine setters, operators, and tenders were employed at 23.6 times the national rate in Oshkosh, and prepress technicians and workers, at 14.4 times the U.S. average.  Laundry and dry-cleaning workers had a location quotient of 1.1 in Oshkosh, 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 Wisconsin Department of Workforce Development.

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 Oshkosh-Neenah, WI Metropolitan Statistical Area included 1,111 establishments with a response rate of 66 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 Oshkosh-Neenah, WI Metropolitan Statistical Area includes Winnebago 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 production occupations, Oshkosh metropolitan area, May 2022
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production occupations

13,480 2.5 $22.50 $46,810

First-line supervisors of production and operating workers

1,030 2.5 32.23 67,050

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

650 3.8 19.00 39,510

Structural metal fabricators and fitters

70 2.0 25.08 52,170

Miscellaneous assemblers and fabricators

2,790 3.1 22.21 46,190


80 0.7 14.95 31,100

Butchers and meat cutters

60 0.7 18.68 38,860

Food batchmakers

70 0.7 18.01 37,460

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

120 3.0 22.15 46,070

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

280 2.5 19.84 41,270

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

180 4.0 20.06 41,730


180 0.9 22.56 46,930

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

650 6.3 20.13 41,860

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

230 2.8 19.50 40,560

Tool and die makers

90 2.4 26.69 55,510

Welders, cutters, solderers, and brazers

520 2.1 23.50 48,880

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

40 2.0 20.94 43,560

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

60 2.9 18.12 37,690

Prepress technicians and workers

220 14.4 20.15 41,900

Printing press operators

550 5.9 22.70 47,220

Print binding and finishing workers

260 10.7 18.76 39,030

Laundry and dry-cleaning workers

110 1.1 14.19 29,520

Cabinetmakers and bench carpenters

50 0.9 20.56 42,750

Woodworking machine setters, operators, and tenders, except sawing

40 1.0 20.16 41,930

Water and wastewater treatment plant and system operators

70 0.9 27.60 57,410

Chemical equipment operators and tenders

80 1.1 22.65 47,110

Mixing and blending machine setters, operators, and tenders

140 2.1 22.86 47,540

Cutting and slicing machine setters, operators, and tenders

180 5.4 23.43 48,740

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

80 2.2 22.68 47,180

Inspectors, testers, sorters, samplers, and weighers

670 1.9 22.13 46,040

Packaging and filling machine operators and tenders

360 1.6 19.29 40,130

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

420 4.5 22.64 47,100

Computer numerically controlled tool operators

440 4.0 25.29 52,600

Computer numerically controlled tool programmers

50 3.1 28.78 59,860

Paper goods machine setters, operators, and tenders

1,340 23.6 23.39 48,650

Helpers--production workers

190 1.6 19.03 39,580

Production workers, all other

120 0.8 18.68 38,850

(1) For a complete listing of all detailed occupations in the Oshkosh-Neenah, WI 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.


Last Modified Date: Friday, August 25, 2023