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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 groupPercent of total employmentMean hourly wage
United StatesMilwaukeeUnited StatesMilwaukeePercent difference (1)

Total, all occupations

100.0%100.0%$22.71$22.660

Management

5.05.2*54.0853.32-1

Business and financial operations

5.15.4*34.8131.77*-9

Computer and mathematical

2.83.040.3736.07*-11

Architecture and engineering

1.82.2*39.1934.03*-13

Life, physical, and social science

0.80.5*33.6930.80*-9

Community and social services

1.41.421.7921.31-2

Legal

0.80.748.6140.40*-17

Education, training, and library

6.25.5*25.1026.837

Arts, design, entertainment, sports, and media

1.31.5*26.8223.42*-13

Healthcare practitioners and technical

5.86.236.5437.362

Healthcare support

2.92.813.8613.860

Protective service

2.41.8*21.1420.23-4

Food preparation and serving related

9.18.0*10.579.73*-8

Building and grounds cleaning and maintenance

3.23.0*12.6812.27-3

Personal care and service

3.14.9*12.0111.23*-6

Sales and related

10.59.6*18.5920.99*13

Office and administrative support

16.015.5*17.0817.46*2

Farming, fishing, and forestry

0.30.1*12.0915.90*32

Construction and extraction

3.92.8*22.4026.62*19

Installation, maintenance, and repair

3.93.1*21.7422.66*4

Production

6.610.0*17.0618.05*6

Transportation and material moving

6.86.816.5715.20*-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)EmploymentMean wages
Level (2)Location quotient (3)HourlyAnnual (4)

Production Occupations

82,2401.5$18.05$37,540

First-Line Supervisors of Production and Operating Workers

5,3901.529.3961,130

Coil Winders, Tapers, and Finishers

4204.718.8739,250

Electrical and Electronic Equipment Assemblers

2,2501.816.4234,150

Electromechanical Equipment Assemblers

5902.117.7236,850

Engine and Other Machine Assemblers

800.320.0941,780

Structural Metal Fabricators and Fitters

7801.719.4540,460

Team Assemblers

10,2301.516.8935,130

Assemblers and Fabricators, All Other

2,1401.513.3227,710

Bakers

1,1101.112.3925,760

Butchers and Meat Cutters

6300.816.2633,830

Meat, Poultry, and Fish Cutters and Trimmers

2700.313.1927,430

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

1000.917.2335,830

Food Batchmakers

1,1201.514.1329,380

Food Cooking Machine Operators and Tenders

600.313.8728,840

Food Processing Workers, All Other

1300.514.3229,790

Computer-Controlled Machine Tool Operators, Metal and Plastic

4,0104.519.6140,790

Computer Numerically Controlled Machine Tool Programmers, Metal and Plastic

5503.723.9949,900

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

3800.914.8630,910

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

(5)(5)18.2237,900

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

1300.717.0935,540

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

3,1102.716.5234,360

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

2001.921.3244,340

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

9402.216.8034,940

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

7703.017.8237,060

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

1601.224.2850,500

Machinists

5,6702.420.0041,590

Metal-Refining Furnace Operators and Tenders

1601.217.5436,480

Pourers and Casters, Metal

(5)(5)17.1735,710

Model Makers, Metal and Plastic

1203.227.4157,010

Foundry Mold and Coremakers

3905.413.7528,600

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

1,9902.614.6430,460

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

1,4102.417.3136,000

Tool and Die Makers

1,7403.824.3050,540

Welders, Cutters, Solderers, and Brazers

3,3601.519.5440,650

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

8602.622.9247,660

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

1701.319.1139,760

Layout Workers, Metal and Plastic

400.522.3146,410

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

7303.414.2229,580

Tool Grinders, Filers, and Sharpeners

1602.416.4934,300

Metal Workers and Plastic Workers, All Other

1701.316.0833,440

Prepress Technicians and Workers

6402.919.0939,700

Printing Press Operators

2,1902.219.6740,900

Print Binding and Finishing Workers

1,2604.115.5632,370

Laundry and Dry-Cleaning Workers

1,2301.010.5421,930

Pressers, Textile, Garment, and Related Materials

1100.411.0122,910

Sewing Machine Operators

6000.712.7526,530

Shoe and Leather Workers and Repairers

2605.510.9422,760

Tailors, Dressmakers, and Custom Sewers

2401.913.0127,060

Upholsterers

(5)(5)13.7928,690

Textile, Apparel, and Furnishings Workers, All Other

(5)(5)9.4319,620

Cabinetmakers and Bench Carpenters

3200.618.0637,560

Furniture Finishers

500.617.7836,980

Sawing Machine Setters, Operators, and Tenders, Wood

400.117.3836,160

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

2800.713.5828,240

Power Plant Operators

2601.137.5078,000

Stationary Engineers and Boiler Operators

700.326.1554,390

Water and Wastewater Treatment Plant and System Operators

5500.823.1148,060

Chemical Plant and System Operators

300.221.9545,660

Gas Plant Operators

(5)(5)40.5384,310

Chemical Equipment Operators and Tenders

2300.620.5942,830

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

3201.218.6138,710

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

800.516.3233,950

Grinding and Polishing Workers, Hand

3702.116.0033,290

Mixing and Blending Machine Setters, Operators, and Tenders

1,0101.418.2838,020

Cutters and Trimmers, Hand

901.012.4425,870

Cutting and Slicing Machine Setters, Operators, and Tenders

3500.916.0833,450

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

4001.012.8126,640

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

(5)(5)20.0841,760

Inspectors, Testers, Sorters, Samplers, and Weighers

3,7401.318.4138,290

Jewelers and Precious Stone and Metal Workers

1000.717.0035,370

Dental Laboratory Technicians

1800.819.8341,240

Medical Appliance Technicians

(5)(5)15.8532,960

Ophthalmic Laboratory Technicians

1500.914.9331,060

Packaging and Filling Machine Operators and Tenders

4,1501.815.2731,750

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

1,2002.217.7536,920

Painters, Transportation Equipment

2100.725.2652,530

Photographic Process Workers and Processing Machine Operators

2001.215.4532,140

Adhesive Bonding Machine Operators and Tenders

600.615.1731,550

Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

500.514.1329,390

Etchers and Engravers

(5)(5)16.3734,050

Molders, Shapers, and Casters, Except Metal and Plastic

1600.817.2135,790

Paper Goods Machine Setters, Operators, and Tenders

9401.717.2535,880

Helpers--Production Workers

2,6801.113.2327,520

Production Workers, All Other

1,7501.315.6432,530

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