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15-921-CHI Wednesday, June 24, 2015

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Occupational Employment and Wages in Milwaukee-Waukesha-West Allis — May 2014

Workers in the Milwaukee-Waukesha-West Allis Metropolitan Statistical Area had an average (mean) hourly wage of $22.66 in May 2014, similar to the nationwide average of $22.71, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Charlene Peiffer 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 construction and extraction; sales and related; and production. Nine groups had significantly lower wages than their respective national averages, including legal; architecture and engineering; and computer and mathematical.

When compared to the nationwide distribution, local employment was more highly concentrated in 6 of the 22 occupational groups, including production; personal care and service; and architecture and engineering. Conversely, 10 groups had employment shares significantly below their national representation, including construction and extraction; food preparation and serving related; and sales and related. (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 Metropolitan Statistical Area, and measures of statistical significance, May 2014
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% $22.71 $22.66 0

Management

5.0 5.2* 54.08 53.32 -1

Business and financial operations

5.1 5.4* 34.81 31.77* -9

Computer and mathematical

2.8 3.0 40.37 36.07* -11

Architecture and engineering

1.8 2.2* 39.19 34.03* -13

Life, physical, and social science

0.8 0.5* 33.69 30.80* -9

Community and social services

1.4 1.4 21.79 21.31 -2

Legal

0.8 0.7 48.61 40.40* -17

Education, training, and library

6.2 5.5* 25.10 26.83 7

Arts, design, entertainment, sports, and media

1.3 1.5* 26.82 23.42* -13

Healthcare practitioners and technical

5.8 6.2 36.54 37.36 2

Healthcare support

2.9 2.8 13.86 13.86 0

Protective service

2.4 1.8* 21.14 20.23 -4

Food preparation and serving related

9.1 8.0* 10.57 9.73* -8

Building and grounds cleaning and maintenance

3.2 3.0* 12.68 12.27 -3

Personal care and service

3.1 4.9* 12.01 11.23* -6

Sales and related

10.5 9.6* 18.59 20.99* 13

Office and administrative support

16.0 15.5* 17.08 17.46* 2

Farming, fishing, and forestry

0.3 0.1* 12.09 15.90* 32

Construction and extraction

3.9 2.8* 22.40 26.62* 19

Installation, maintenance, and repair

3.9 3.1* 21.74 22.66* 4

Production

6.6 10.0* 17.06 18.05* 6

Transportation and material moving

6.8 6.8 16.57 15.20* -8

Footnotes:
(1) A positive percent difference measures how much the mean wage in Milwaukee is above the national mean wage, while a negative difference reflects a lower wage.
* The percent share of employment or mean hourly wage for this area 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-Waukesha-West Allis had 82,240 jobs in production, accounting for 10.0 percent of local area employment, significantly higher than the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $18.05, significantly above the national wage of $17.06.

Some of the largest detailed occupations within the production group included team assemblers (10,230), machinists (5,670), and first-line supervisors of production and operating workers (5,390). Among the higher paying jobs were gas plant operators; and power plant operators, with mean hourly wages of $40.53 and $37.50, respectively. At the lower end of the wage scale were laundry and dry-cleaning workers ($10.54) and shoe and leather workers and repairers ($10.94). (Detailed occupational data for production are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/2014/may/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-Waukesha-West Allis Metropolitan Statistical Area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, foundry mold and coremakers were employed at 5.4 times the national rate in Milwaukee, and coil winders, tapers, and finishers, at 4.7 times the U.S. average. On the other hand, laundry and dry-cleaning workers 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.

Note

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.


Technical Note

The Occupational Employment Statistics (OES) survey is a semiannual mail survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. Guam, Puerto Rico, and the Virgin Islands are also surveyed, but their data are not included in the national estimates. OES estimates are constructed from a sample of about 1.2 million establishments. Forms are mailed to approximately 200,000 sampled establishments in May and November each year. May 2014 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2014, November 2013, May 2013, November 2012, May 2012, and November 2011. The overall national response rate for the six panels is 74.3 percent based on establishments and 70.5 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 57.1 percent of total national employment. (Response rates are slightly lower for these estimates due to the federal shutdown in October 2013.) The sample in the Milwaukee-Waukesha-West Allis Metropolitan Statistical Area included 5,159 establishments with a response rate of 76 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.

The OES survey provides estimates of employment and hourly and annual wages for wage and salary workers in 22 major occupational groups and 821 detailed occupations for the nation, states, metropolitan statistical areas, metropolitan divisions, and nonmetropolitan areas. In addition, employment and wage estimates for 94 minor groups and 458 broad occupations are available in the national data. OES data by state and metropolitan/nonmetropolitan area are available from www.bls.gov/oes/current/oessrcst.htm and www.bls.gov/oes/current/oessrcma.htm, respectively.

The May 2014 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2012 North American Industry Classification System (NAICS). Information about the 2010 SOC is available on the BLS website at www.bls.gov/soc and information about the 2012 NAICS is available at www.bls.gov/bls/naics.htm.

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, Wis. Metropolitan Statistical Area  includes Milwaukee, Ozaukee, Washington, and Waukesha Counties.

Additional information

OES data are available on our regional web page at www.bls.gov/regions/midwest. Answers to frequently asked questions about the OES data are available at www.bls.gov/oes/oes_ques.htm. Detailed technical information about the OES survey is available in our Survey Methods and Reliability Statement on the BLS website at www.bls.gov/oes/2014/may/methods_statement.pdf.

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 from the Occupational Employment Statistics survey, by occupation, Milwaukee-Waukesha-West Allis Metropolitan Statistical Area, May 2014
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production Occupations

82,240 1.5 $18.05 $37,540

First-Line Supervisors of Production and Operating Workers

5,390 1.5 29.39 61,130

Coil Winders, Tapers, and Finishers

420 4.7 18.87 39,250

Electrical and Electronic Equipment Assemblers

2,250 1.8 16.42 34,150

Electromechanical Equipment Assemblers

590 2.1 17.72 36,850

Engine and Other Machine Assemblers

80 0.3 20.09 41,780

Structural Metal Fabricators and Fitters

780 1.7 19.45 40,460

Team Assemblers

10,230 1.5 16.89 35,130

Assemblers and Fabricators, All Other

2,140 1.5 13.32 27,710

Bakers

1,110 1.1 12.39 25,760

Butchers and Meat Cutters

630 0.8 16.26 33,830

Meat, Poultry, and Fish Cutters and Trimmers

270 0.3 13.19 27,430

Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders

100 0.9 17.23 35,830

Food Batchmakers

1,120 1.5 14.13 29,380

Food Cooking Machine Operators and Tenders

60 0.3 13.87 28,840

Food Processing Workers, All Other

130 0.5 14.32 29,790

Computer-Controlled Machine Tool Operators, Metal and Plastic

4,010 4.5 19.61 40,790

Computer Numerically Controlled Machine Tool Programmers, Metal and Plastic

550 3.7 23.99 49,900

Extruding and Drawing Machine Setters, Operators, and Tenders, Metal and Plastic

380 0.9 14.86 30,910

Forging Machine Setters, Operators, and Tenders, Metal and Plastic

(5) (5) 18.22 37,900

Rolling Machine Setters, Operators, and Tenders, Metal and Plastic

130 0.7 17.09 35,540

Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic

3,110 2.7 16.52 34,360

Drilling and Boring Machine Tool Setters, Operators, and Tenders, Metal and Plastic

200 1.9 21.32 44,340

Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic

940 2.2 16.80 34,940

Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic

770 3.0 17.82 37,060

Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic

160 1.2 24.28 50,500

Machinists

5,670 2.4 20.00 41,590

Metal-Refining Furnace Operators and Tenders

160 1.2 17.54 36,480

Pourers and Casters, Metal

(5) (5) 17.17 35,710

Model Makers, Metal and Plastic

120 3.2 27.41 57,010

Foundry Mold and Coremakers

390 5.4 13.75 28,600

Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic

1,990 2.6 14.64 30,460

Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic

1,410 2.4 17.31 36,000

Tool and Die Makers

1,740 3.8 24.30 50,540

Welders, Cutters, Solderers, and Brazers

3,360 1.5 19.54 40,650

Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders

860 2.6 22.92 47,660

Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic

170 1.3 19.11 39,760

Layout Workers, Metal and Plastic

40 0.5 22.31 46,410

Plating and Coating Machine Setters, Operators, and Tenders, Metal and Plastic

730 3.4 14.22 29,580

Tool Grinders, Filers, and Sharpeners

160 2.4 16.49 34,300

Metal Workers and Plastic Workers, All Other

170 1.3 16.08 33,440

Prepress Technicians and Workers

640 2.9 19.09 39,700

Printing Press Operators

2,190 2.2 19.67 40,900

Print Binding and Finishing Workers

1,260 4.1 15.56 32,370

Laundry and Dry-Cleaning Workers

1,230 1.0 10.54 21,930

Pressers, Textile, Garment, and Related Materials

110 0.4 11.01 22,910

Sewing Machine Operators

600 0.7 12.75 26,530

Shoe and Leather Workers and Repairers

260 5.5 10.94 22,760

Tailors, Dressmakers, and Custom Sewers

240 1.9 13.01 27,060

Upholsterers

(5) (5) 13.79 28,690

Textile, Apparel, and Furnishings Workers, All Other

(5) (5) 9.43 19,620

Cabinetmakers and Bench Carpenters

320 0.6 18.06 37,560

Furniture Finishers

50 0.6 17.78 36,980

Sawing Machine Setters, Operators, and Tenders, Wood

40 0.1 17.38 36,160

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

280 0.7 13.58 28,240

Power Plant Operators

260 1.1 37.50 78,000

Stationary Engineers and Boiler Operators

70 0.3 26.15 54,390

Water and Wastewater Treatment Plant and System Operators

550 0.8 23.11 48,060

Chemical Plant and System Operators

30 0.2 21.95 45,660

Gas Plant Operators

(5) (5) 40.53 84,310

Chemical Equipment Operators and Tenders

230 0.6 20.59 42,830

Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders

320 1.2 18.61 38,710

Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders

80 0.5 16.32 33,950

Grinding and Polishing Workers, Hand

370 2.1 16.00 33,290

Mixing and Blending Machine Setters, Operators, and Tenders

1,010 1.4 18.28 38,020

Cutters and Trimmers, Hand

90 1.0 12.44 25,870

Cutting and Slicing Machine Setters, Operators, and Tenders

350 0.9 16.08 33,450

Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders

400 1.0 12.81 26,640

Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders

(5) (5) 20.08 41,760

Inspectors, Testers, Sorters, Samplers, and Weighers

3,740 1.3 18.41 38,290

Jewelers and Precious Stone and Metal Workers

100 0.7 17.00 35,370

Dental Laboratory Technicians

180 0.8 19.83 41,240

Medical Appliance Technicians

(5) (5) 15.85 32,960

Ophthalmic Laboratory Technicians

150 0.9 14.93 31,060

Packaging and Filling Machine Operators and Tenders

4,150 1.8 15.27 31,750

Coating, Painting, and Spraying Machine Setters, Operators, and Tenders

1,200 2.2 17.75 36,920

Painters, Transportation Equipment

210 0.7 25.26 52,530

Photographic Process Workers and Processing Machine Operators

200 1.2 15.45 32,140

Adhesive Bonding Machine Operators and Tenders

60 0.6 15.17 31,550

Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

50 0.5 14.13 29,390

Etchers and Engravers

(5) (5) 16.37 34,050

Molders, Shapers, and Casters, Except Metal and Plastic

160 0.8 17.21 35,790

Paper Goods Machine Setters, Operators, and Tenders

940 1.7 17.25 35,880

Helpers--Production Workers

2,680 1.1 13.23 27,520

Production Workers, All Other

1,750 1.3 15.64 32,530

Footnotes:
(1) For a complete listing of all detailed occupations in Milwaukee-Waukesha-West Allis, WI, see www.bls.gov/oes/current/oes_33340.htm.
(2) Estimates for detailed occupations do not sum to the totals because the totals include occupations 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 24, 2015

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News Release Information

15-921-CHI Wednesday, June 24, 2015

Contacts

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

Occupational Employment and Wages in Milwaukee-Waukesha-West Allis — May 2014

Workers in the Milwaukee-Waukesha-West Allis Metropolitan Statistical Area had an average (mean) hourly wage of $22.66 in May 2014, similar to the nationwide average of $22.71, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Charlene Peiffer 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 construction and extraction; sales and related; and production. Nine groups had significantly lower wages than their respective national averages, including legal; architecture and engineering; and computer and mathematical.

When compared to the nationwide distribution, local employment was more highly concentrated in 6 of the 22 occupational groups, including production; personal care and service; and architecture and engineering. Conversely, 10 groups had employment shares significantly below their national representation, including construction and extraction; food preparation and serving related; and sales and related. (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 Metropolitan Statistical Area, and measures of statistical significance, May 2014
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% $22.71 $22.66 0

Management

5.0 5.2* 54.08 53.32 -1

Business and financial operations

5.1 5.4* 34.81 31.77* -9

Computer and mathematical

2.8 3.0 40.37 36.07* -11

Architecture and engineering

1.8 2.2* 39.19 34.03* -13

Life, physical, and social science

0.8 0.5* 33.69 30.80* -9

Community and social services

1.4 1.4 21.79 21.31 -2

Legal

0.8 0.7 48.61 40.40* -17

Education, training, and library

6.2 5.5* 25.10 26.83 7

Arts, design, entertainment, sports, and media

1.3 1.5* 26.82 23.42* -13

Healthcare practitioners and technical

5.8 6.2 36.54 37.36 2

Healthcare support

2.9 2.8 13.86 13.86 0

Protective service

2.4 1.8* 21.14 20.23 -4

Food preparation and serving related

9.1 8.0* 10.57 9.73* -8

Building and grounds cleaning and maintenance

3.2 3.0* 12.68 12.27 -3

Personal care and service

3.1 4.9* 12.01 11.23* -6

Sales and related

10.5 9.6* 18.59 20.99* 13

Office and administrative support

16.0 15.5* 17.08 17.46* 2

Farming, fishing, and forestry

0.3 0.1* 12.09 15.90* 32

Construction and extraction

3.9 2.8* 22.40 26.62* 19

Installation, maintenance, and repair

3.9 3.1* 21.74 22.66* 4

Production

6.6 10.0* 17.06 18.05* 6

Transportation and material moving

6.8 6.8 16.57 15.20* -8

Footnotes:
(1) A positive percent difference measures how much the mean wage in Milwaukee is above the national mean wage, while a negative difference reflects a lower wage.
* The percent share of employment or mean hourly wage for this area 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-Waukesha-West Allis had 82,240 jobs in production, accounting for 10.0 percent of local area employment, significantly higher than the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $18.05, significantly above the national wage of $17.06.

Some of the largest detailed occupations within the production group included team assemblers (10,230), machinists (5,670), and first-line supervisors of production and operating workers (5,390). Among the higher paying jobs were gas plant operators; and power plant operators, with mean hourly wages of $40.53 and $37.50, respectively. At the lower end of the wage scale were laundry and dry-cleaning workers ($10.54) and shoe and leather workers and repairers ($10.94). (Detailed occupational data for production are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/2014/may/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-Waukesha-West Allis Metropolitan Statistical Area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, foundry mold and coremakers were employed at 5.4 times the national rate in Milwaukee, and coil winders, tapers, and finishers, at 4.7 times the U.S. average. On the other hand, laundry and dry-cleaning workers 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.

Note

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.


Technical Note

The Occupational Employment Statistics (OES) survey is a semiannual mail survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. Guam, Puerto Rico, and the Virgin Islands are also surveyed, but their data are not included in the national estimates. OES estimates are constructed from a sample of about 1.2 million establishments. Forms are mailed to approximately 200,000 sampled establishments in May and November each year. May 2014 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2014, November 2013, May 2013, November 2012, May 2012, and November 2011. The overall national response rate for the six panels is 74.3 percent based on establishments and 70.5 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 57.1 percent of total national employment. (Response rates are slightly lower for these estimates due to the federal shutdown in October 2013.) The sample in the Milwaukee-Waukesha-West Allis Metropolitan Statistical Area included 5,159 establishments with a response rate of 76 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.

The OES survey provides estimates of employment and hourly and annual wages for wage and salary workers in 22 major occupational groups and 821 detailed occupations for the nation, states, metropolitan statistical areas, metropolitan divisions, and nonmetropolitan areas. In addition, employment and wage estimates for 94 minor groups and 458 broad occupations are available in the national data. OES data by state and metropolitan/nonmetropolitan area are available from www.bls.gov/oes/current/oessrcst.htm and www.bls.gov/oes/current/oessrcma.htm, respectively.

The May 2014 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2012 North American Industry Classification System (NAICS). Information about the 2010 SOC is available on the BLS website at www.bls.gov/soc and information about the 2012 NAICS is available at www.bls.gov/bls/naics.htm.

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, Wis. Metropolitan Statistical Area  includes Milwaukee, Ozaukee, Washington, and Waukesha Counties.

Additional information

OES data are available on our regional web page at www.bls.gov/regions/midwest. Answers to frequently asked questions about the OES data are available at www.bls.gov/oes/oes_ques.htm. Detailed technical information about the OES survey is available in our Survey Methods and Reliability Statement on the BLS website at www.bls.gov/oes/2014/may/methods_statement.pdf.

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 from the Occupational Employment Statistics survey, by occupation, Milwaukee-Waukesha-West Allis Metropolitan Statistical Area, May 2014
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production Occupations

82,240 1.5 $18.05 $37,540

First-Line Supervisors of Production and Operating Workers

5,390 1.5 29.39 61,130

Coil Winders, Tapers, and Finishers

420 4.7 18.87 39,250

Electrical and Electronic Equipment Assemblers

2,250 1.8 16.42 34,150

Electromechanical Equipment Assemblers

590 2.1 17.72 36,850

Engine and Other Machine Assemblers

80 0.3 20.09 41,780

Structural Metal Fabricators and Fitters

780 1.7 19.45 40,460

Team Assemblers

10,230 1.5 16.89 35,130

Assemblers and Fabricators, All Other

2,140 1.5 13.32 27,710

Bakers

1,110 1.1 12.39 25,760

Butchers and Meat Cutters

630 0.8 16.26 33,830

Meat, Poultry, and Fish Cutters and Trimmers

270 0.3 13.19 27,430

Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders

100 0.9 17.23 35,830

Food Batchmakers

1,120 1.5 14.13 29,380

Food Cooking Machine Operators and Tenders

60 0.3 13.87 28,840

Food Processing Workers, All Other

130 0.5 14.32 29,790

Computer-Controlled Machine Tool Operators, Metal and Plastic

4,010 4.5 19.61 40,790

Computer Numerically Controlled Machine Tool Programmers, Metal and Plastic

550 3.7 23.99 49,900

Extruding and Drawing Machine Setters, Operators, and Tenders, Metal and Plastic

380 0.9 14.86 30,910

Forging Machine Setters, Operators, and Tenders, Metal and Plastic

(5) (5) 18.22 37,900

Rolling Machine Setters, Operators, and Tenders, Metal and Plastic

130 0.7 17.09 35,540

Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic

3,110 2.7 16.52 34,360

Drilling and Boring Machine Tool Setters, Operators, and Tenders, Metal and Plastic

200 1.9 21.32 44,340

Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic

940 2.2 16.80 34,940

Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic

770 3.0 17.82 37,060

Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic

160 1.2 24.28 50,500

Machinists

5,670 2.4 20.00 41,590

Metal-Refining Furnace Operators and Tenders

160 1.2 17.54 36,480

Pourers and Casters, Metal

(5) (5) 17.17 35,710

Model Makers, Metal and Plastic

120 3.2 27.41 57,010

Foundry Mold and Coremakers

390 5.4 13.75 28,600

Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic

1,990 2.6 14.64 30,460

Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic

1,410 2.4 17.31 36,000

Tool and Die Makers

1,740 3.8 24.30 50,540

Welders, Cutters, Solderers, and Brazers

3,360 1.5 19.54 40,650

Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders

860 2.6 22.92 47,660

Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic

170 1.3 19.11 39,760

Layout Workers, Metal and Plastic

40 0.5 22.31 46,410

Plating and Coating Machine Setters, Operators, and Tenders, Metal and Plastic

730 3.4 14.22 29,580

Tool Grinders, Filers, and Sharpeners

160 2.4 16.49 34,300

Metal Workers and Plastic Workers, All Other

170 1.3 16.08 33,440

Prepress Technicians and Workers

640 2.9 19.09 39,700

Printing Press Operators

2,190 2.2 19.67 40,900

Print Binding and Finishing Workers

1,260 4.1 15.56 32,370

Laundry and Dry-Cleaning Workers

1,230 1.0 10.54 21,930

Pressers, Textile, Garment, and Related Materials

110 0.4 11.01 22,910

Sewing Machine Operators

600 0.7 12.75 26,530

Shoe and Leather Workers and Repairers

260 5.5 10.94 22,760

Tailors, Dressmakers, and Custom Sewers

240 1.9 13.01 27,060

Upholsterers

(5) (5) 13.79 28,690

Textile, Apparel, and Furnishings Workers, All Other

(5) (5) 9.43 19,620

Cabinetmakers and Bench Carpenters

320 0.6 18.06 37,560

Furniture Finishers

50 0.6 17.78 36,980

Sawing Machine Setters, Operators, and Tenders, Wood

40 0.1 17.38 36,160

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

280 0.7 13.58 28,240

Power Plant Operators

260 1.1 37.50 78,000

Stationary Engineers and Boiler Operators

70 0.3 26.15 54,390

Water and Wastewater Treatment Plant and System Operators

550 0.8 23.11 48,060

Chemical Plant and System Operators

30 0.2 21.95 45,660

Gas Plant Operators

(5) (5) 40.53 84,310

Chemical Equipment Operators and Tenders

230 0.6 20.59 42,830

Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders

320 1.2 18.61 38,710

Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders

80 0.5 16.32 33,950

Grinding and Polishing Workers, Hand

370 2.1 16.00 33,290

Mixing and Blending Machine Setters, Operators, and Tenders

1,010 1.4 18.28 38,020

Cutters and Trimmers, Hand

90 1.0 12.44 25,870

Cutting and Slicing Machine Setters, Operators, and Tenders

350 0.9 16.08 33,450

Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders

400 1.0 12.81 26,640

Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders

(5) (5) 20.08 41,760

Inspectors, Testers, Sorters, Samplers, and Weighers

3,740 1.3 18.41 38,290

Jewelers and Precious Stone and Metal Workers

100 0.7 17.00 35,370

Dental Laboratory Technicians

180 0.8 19.83 41,240

Medical Appliance Technicians

(5) (5) 15.85 32,960

Ophthalmic Laboratory Technicians

150 0.9 14.93 31,060

Packaging and Filling Machine Operators and Tenders

4,150 1.8 15.27 31,750

Coating, Painting, and Spraying Machine Setters, Operators, and Tenders

1,200 2.2 17.75 36,920

Painters, Transportation Equipment

210 0.7 25.26 52,530

Photographic Process Workers and Processing Machine Operators

200 1.2 15.45 32,140

Adhesive Bonding Machine Operators and Tenders

60 0.6 15.17 31,550

Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

50 0.5 14.13 29,390

Etchers and Engravers

(5) (5) 16.37 34,050

Molders, Shapers, and Casters, Except Metal and Plastic

160 0.8 17.21 35,790

Paper Goods Machine Setters, Operators, and Tenders

940 1.7 17.25 35,880

Helpers--Production Workers

2,680 1.1 13.23 27,520

Production Workers, All Other

1,750 1.3 15.64 32,530

Footnotes:
(1) For a complete listing of all detailed occupations in Milwaukee-Waukesha-West Allis, WI, see www.bls.gov/oes/current/oes_33340.htm.
(2) Estimates for detailed occupations do not sum to the totals because the totals include occupations 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 24, 2015