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News Release Information

20-533-CHI
Wednesday, June 03, 2020

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

Occupational Employment and Wages in Milwaukee-Waukesha-West Allis — May 2019

Workers in the Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area had an average (mean) hourly wage of $25.22 in May 2019, about 2 percent below the nationwide average of $25.72, the U.S. Bureau of Labor Statistics reported today. Assistant Commissioner for Regional Operations Charlene Peiffer noted that, after testing for statistical significance, wages in the local area were higher than their respective national averages in 5 of the 22 major occupational groups, including construction and extraction, sales and related, and management. Eleven groups had significantly lower wages than their respective national averages, including arts, design, entertainment, sports, and media; architecture and engineering; and computer and mathematical.

When compared to the nationwide distribution, Milwaukee area employment was more highly concentrated in 5 of the 22 occupational groups, including production, healthcare support, and healthcare practitioners and technical. Conversely, eleven groups had employment shares significantly below their national representation, including food preparation and serving related, sales and related, and construction and extraction. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area, and measures of statistical significance, May 2019
Major occupational group Percent of total employment Mean hourly wage
United States Milwaukee United States Milwaukee Percent difference (1)

Total, all occupations

100.0 100.0 $25.72 $25.22* -2

Management

5.5 4.8* 58.88 60.72* 3

Business and financial operations

5.6 6.3* 37.56 34.26* -9

Computer and mathematical

3.1 3.1 45.08 39.61* -12

Architecture and engineering

1.8 2.1* 42.69 36.92* -14

Life, physical, and social science

0.9 0.6* 37.28 33.59* -10

Community and social service

1.5 1.4 24.27 22.43* -8

Legal

0.8 0.7 52.71 52.86 0

Educational instruction and library

6.1 5.3* 27.75 25.69* -7

Arts, design, entertainment, sports, and media

1.4 1.4 29.79 23.23* -22

Healthcare practitioners and technical

5.9 6.8* 40.21 41.61 3

Healthcare support

4.4 5.9* 14.91 13.68* -8

Protective service

2.4 1.8* 23.98 23.73 -1

Food preparation and serving related

9.2 8.0* 12.82 11.52* -10

Building and grounds cleaning and maintenance

3.0 2.9 15.03 14.72 -2

Personal care and service

2.2 2.2 15.03 14.32* -5

Sales and related

9.8 8.9* 20.70 22.99* 11

Office and administrative support

13.3 12.9* 19.73 19.95* 1

Farming, fishing, and forestry

0.3 0.1* 15.07 14.91 -1

Construction and extraction

4.2 3.4* 25.28 29.47* 17

Installation, maintenance, and repair

3.9 3.6* 24.10 24.62* 2

Production

6.2 10.0* 19.30 19.45 1

Transportation and material moving

8.5 7.9* 18.23 17.39* -5

Footnotes:
(1) A positive percent difference measures how much the mean wage in the Milwaukee-Waukesha-West Allis, WI 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. Milwaukee had 85,350 jobs in production, accounting for 10.0 percent of local area employment, significantly higher than the 6.2-percent share nationally. The average hourly wage for this occupational group locally was $19.45, compared to the national wage of $19.30.

Some of the larger detailed occupations within the production group included miscellaneous assemblers and fabricators (10,620), first-line supervisors of production and operating workers (6,580), and computer numerically controlled tool operators (5,750). Among the higher-paying jobs in this group were power plant operators and first-line supervisors of production and operating workers, with mean hourly wages of $37.66 and $31.13, respectively. At the lower end of the wage scale were food and tobacco roasting, baking, and drying machine operators and tenders ($12.00) and pressers, textile, garment, and related materials ($12.55). (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_33340.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 Milwaukee area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, computer numerically controlled tool operators were employed at 6.5 times the national rate in Milwaukee, and foundry mold and coremakers, at 5.9 times the U.S. average. Bakers had a location quotient of 1.0 in Milwaukee, 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 Wisconsin Department of Workforce Development.

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 Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area included 4,696 establishments with a response rate of 75 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 Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area includes Milwaukee, Ozaukee, Washington, and Waukesha 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, Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area, May 2019
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production occupations

85,350 1.6 $19.45 $40,460

First-line supervisors of production and operating workers

6,580 1.8 31.13 64,740

Coil winders, tapers, and finishers

(5) (5) 21.23 44,160

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

4,320 2.6 18.74 38,970

Engine and other machine assemblers

(5) (5) 19.43 40,420

Structural metal fabricators and fitters

720 1.6 23.18 48,210

Miscellaneous assemblers and fabricators

10,620 1.3 15.82 32,910

Bakers

1,100 1.0 14.68 30,540

Butchers and meat cutters

440 0.6 17.40 36,200

Meat, poultry, and fish cutters and trimmers

(5) (5) 14.39 29,930

Slaughterers and meat packers

(5) (5) 13.84 28,790

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

230 1.9 12.00 24,970

Food batchmakers

1,000 1.1 15.62 32,490

Food cooking machine operators and tenders

50 0.3 16.70 34,730

Food processing workers, all other

110 0.4 13.36 27,800

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

630 1.4 20.78 43,220

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

(5) (5) 22.42 46,640

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

230 1.2 18.32 38,110

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

2,810 2.5 18.79 39,080

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

90 1.4 21.17 44,030

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

1,500 3.3 17.35 36,090

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

330 2.0 20.68 43,010

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

40 0.3 23.29 48,450

Machinists

3,750 1.7 21.10 43,880

Metal-refining furnace operators and tenders

150 1.5 21.54 44,810

Pourers and casters, metal

(5) (5) 18.54 38,560

Patternmakers, metal and plastic

(5) (5) 28.20 58,650

Foundry mold and coremakers

610 5.9 (5) (5)

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

2,350 2.3 17.70 36,810

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

1,270 1.5 19.10 39,720

Tool and die makers

1,550 3.8 24.84 51,680

Welders, cutters, solderers, and brazers

4,190 1.8 22.98 47,800

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

100 0.5 18.60 38,680

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

320 2.8 19.65 40,870

Layout workers, metal and plastic

(5) (5) 21.90 45,550

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

420 1.7 15.66 32,570

Prepress technicians and workers

520 3.0 18.95 39,420

Printing press operators

3,240 3.2 18.11 37,670

Print binding and finishing workers

1,450 5.4 15.74 32,740

Laundry and dry-cleaning workers

1,200 1.0 12.64 26,300

Pressers, textile, garment, and related materials

(5) (5) 12.55 26,100

Sewing machine operators

790 1.0 13.56 28,200

Shoe and leather workers and repairers

190 3.6 14.87 30,940

Tailors, dressmakers, and custom sewers

(5) (5) 14.28 29,700

Textile knitting and weaving machine setters, operators, and tenders

(5) (5) 12.67 26,360

Upholsterers

60 0.4 13.82 28,750

Cabinetmakers and bench carpenters

590 1.0 22.04 45,840

Furniture finishers

80 0.8 19.30 40,140

Sawing machine setters, operators, and tenders, wood

80 0.3 15.92 33,110

Woodworking machine setters, operators, and tenders, except sawing

(5) (5) 13.66 28,410

Power plant operators

160 0.8 37.66 78,330

Stationary engineers and boiler operators

120 0.6 30.22 62,870

Water and wastewater treatment plant and system operators

420 0.6 28.77 59,840

Chemical plant and system operators

70 0.4 (5) (5)

Chemical equipment operators and tenders

780 1.5 20.03 41,670

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

310 1.0 21.79 45,330

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

70 0.4 18.08 37,610

Grinding and polishing workers, hand

740 4.4 13.28 27,620

Mixing and blending machine setters, operators, and tenders

1,010 1.4 18.58 38,650

Cutting and slicing machine setters, operators, and tenders

510 1.5 16.64 34,600

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

560 1.3 16.18 33,640

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

80 0.8 15.40 32,040

Inspectors, testers, sorters, samplers, and weighers

4,550 1.4 20.38 42,390

Jewelers and precious stone and metal workers

210 1.6 26.31 54,730

Dental laboratory technicians

460 2.3 19.83 41,240

Medical appliance technicians

180 2.2 17.99 37,410

Packaging and filling machine operators and tenders

5,180 2.3 14.91 31,020

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

1,740 2.0 19.04 39,600

Photographic process workers and processing machine operators

150 2.1 14.07 29,270

Computer numerically controlled tool operators

5,750 6.5 22.36 46,500

Computer numerically controlled tool programmers

450 3.0 25.70 53,450

Cleaning, washing, and metal pickling equipment operators and tenders

(5) (5) 17.23 35,830

Etchers and engravers

(5) (5) 19.80 41,170

Molders, shapers, and casters, except metal and plastic

(5) (5) 18.86 39,230

Paper goods machine setters, operators, and tenders

1,020 1.8 18.78 39,060

Helpers--production workers

1,570 0.9 15.80 32,870

Production workers, all other

680 0.5 14.73 30,640

Footnotes:
(1) For a complete listing of all detailed occupations in the Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_33340.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: Wednesday, June 03, 2020