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16-577-CHI
Wednesday, June 22, 2016

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Occupational Employment and Wages in Warren-Troy-Farmington Hills — May 2015

Workers in the Warren-Troy-Farmington Hills Metropolitan Division had an average (mean) hourly wage of $23.68 in May 2015, comparable to the nationwide average of $23.23, according to the U.S. Bureau of Labor Statistics. Assistant Commissioner for Regional Operations Charlene Peiffer noted that, after testing for statistical significance, wages in the local area lower than their respective national averages in 7 of the 22 major occupational groups including legal; life, physical, and social science; and computer and mathematical. Three groups had significantly higher wages than their respective national averages, including construction and extraction; sales and related; and production.

When compared to the nationwide distribution, local employment was more highly concentrated in 6 of the 22 occupational groups, including production; architecture and engineering; and sales and related. Conversely, 10 groups had employment shares significantly below their national representation, including transportation and material moving; education, training, and library; 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 Warren-Troy-Farmington Hills Metropolitan Division, and measures of statistical significance, May 2015
Major occupational group Percent of total employment Mean hourly wage
United States Warren United States Warren Percent difference (1)

Total, all occupations

100.0% 100.0% $23.23 $23.68 2

Management

5.0 5.3* 55.30 55.08 0

Business and Financial Operations

5.1 5.0 35.48 34.43 -3

Computer and Mathematical

2.9 3.4* 41.43 37.57* -9

Architecture and Engineering

1.8 4.6* 39.89 39.86 0

Life, Physical, and Social Science

0.8 0.5* 34.24 28.44* -17

Community and Social Services

1.4 0.9* 22.19 22.56 2

Legal

0.8 0.9* 49.74 43.09* -13

Education, Training, and Library

6.2 4.6* 25.48 24.40 -4

Arts, Design, Entertainment, Sports, and Media

1.3 1.5 27.39 26.50 -3

Healthcare Practitioner and Technical

5.8 5.5 37.40 38.59 3

Healthcare Support

2.9 3.1 14.19 13.93 -2

Protective Service

2.4 1.5* 21.45 20.14 -6

Food Preparation and Serving Related

9.1 8.9* 10.98 10.72* -2

Building and Grounds Cleaning and Maintenance

3.2 2.7* 13.02 12.97 0

Personal Care and Service

3.1 2.8* 12.33 11.73* -5

Sales and Related

10.5 11.5* 18.90 20.57* 9

Office and Administrative Support

15.8 15.5 17.47 17.01* -3

Farming, Fishing, and Forestry

0.3 (2) 12.67 17.14 35

Construction and Extraction

4.0 2.9* 22.88 25.35* 11

Installation, Maintenance, and Repair

3.9 3.7* 22.11 22.43 1

Production

6.6 10.1* 17.41 17.87* 3

Transportation and Material Moving

6.9 5.2* 16.90 16.09* -5

Footnotes:
(1) A positive percent difference measures how much the mean wage in Warren is above the national mean wage, while a negative difference reflects a lower wage.
(2) Estimate not released
* 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. Warren-Troy-Farmington Hills had 118,400 jobs in production, accounting for 10.1 percent of local area employment, significantly higher than the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $17.87, significantly above the national wage of $17.41.

Some of the larger detailed occupations within the production group included team assemblers (22,830); machinists (10,400); and inspectors, testers, sorters, samplers, and weighers (9,180). Among the higher paying jobs were power plant operators ($36.36) and stationary engineers and boiler operators ($31.16). At the lower end of the wage scale were pressers, textile, garment, and related materials ($10.09) and adhesive bonding machine operators and tenders ($10.29). (Detailed occupational data for production are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/2015/may/oes_47664.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 Warren-Troy-Farmington Hills Metropolitan Division, above-average concentrations of employment were found in some of the occupations within the production group. For instance, tool and die makers were employed at 7.2 times the national rate in Warren, and forging machine setters, operators, and tenders, metal and plastic, at 7.0 times the U.S. average. On the other hand, electrical and electronic equipment assemblers had a location quotient of 1.0 in Warren, 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 Michigan Department of Labor & Economic Growth.

Notes on Occupational Employment Statistics Data

With the issuance of data for May 2015, the OES program has incorporated redefined metropolitan area definitions as designated by the Office of Management and Budget. OES data are available for 394 metropolitan areas, 38 metropolitan divisions, and 167 OES-defined nonmetropolitan areas. A listing of the areas and their definitions can be found at www.bls.gov/oes/current/msa_def.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.


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. The OES program produces employment and wage estimates for over 800 occupations for all industries combined in the nation; the 50 states and the District of Columbia; 432 metropolitan areas and divisions; 167 nonmetropolitan areas; and Guam, Puerto Rico, and the U.S. Virgin Islands. National estimates are also available by industry for NAICS sectors, 3-, 4-, and selected 5- and 6-digit industries, and by ownership across all industries and for schools and hospitals. OES data are available at www.bls.gov/oes/tables.htm.

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 2015 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2015, November 2014, May 2014, November 2013, May 2013, and November 2012. The overall national response rate for the six panels is 73.5 percent based on establishments and 69.6 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 57.9 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 Warren-Troy-Farmington Hills Metropolitan Division included 5,894 establishments with a response rate of 74 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.

The May 2015 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.

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 Warren-Troy-Farmington Hills, Mich. Metropolitan Division includes Lapeer, Livingston, Macomb, Oakland, and St. Clair 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/2015/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, Warren-Troy-Farmington Hills Metropolitan Division, May 2015
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production Occupations

118,400 1.5 $17.87 $37,160

First-Line Supervisors of Production and Operating Workers

6,650 1.3 30.37 63,180

Coil Winders, Tapers, and Finishers

100 0.8 18.35 38,170

Electrical and Electronic Equipment Assemblers

1,870 1.0 14.12 29,370

Electromechanical Equipment Assemblers

160 0.4 17.25 35,880

Engine and Other Machine Assemblers

870 2.6 23.81 49,510

Structural Metal Fabricators and Fitters

880 1.3 19.94 41,470

Fiberglass Laminators and Fabricators

60 0.3 15.56 32,370

Team Assemblers

22,830 2.4 16.50 34,320

Assemblers and Fabricators, All Other

1,760 0.9 12.29 25,560

Bakers

1,320 0.9 13.45 27,980

Butchers and Meat Cutters

1,010 0.9 14.09 29,310

Meat, Poultry, and Fish Cutters and Trimmers

540 0.4 11.38 23,680

Slaughterers and Meat Packers

110 0.2 12.06 25,080

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

30 0.2 13.74 28,580

Food Batchmakers

550 0.5 12.86 26,740

Food Processing Workers, All Other

40 0.1 11.81 24,560

Computer-Controlled Machine Tool Operators, Metal and Plastic

2,690 2.2 20.34 42,310

Computer Numerically Controlled Machine Tool Programmers, Metal and Plastic

640 3.0 24.42 50,790

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

880 1.4 17.21 35,800

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

1,170 7.0 13.64 28,370

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

(5) (5) 19.54 40,640

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

4,850 2.9 17.71 36,840

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

220 1.8 22.37 46,530

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

1,330 2.1 15.21 31,640

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

870 2.6 14.68 30,530

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

300 1.8 15.24 31,710

Machinists

10,400 3.1 19.92 41,430

Metal-Refining Furnace Operators and Tenders

180 1.0 12.80 26,620

Model Makers, Metal and Plastic

(5) (5) 30.07 62,540

Patternmakers, Metal and Plastic

(5) (5) 20.55 42,740

Foundry Mold and Coremakers

(5) (5) 15.38 31,990

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

4,050 3.5 13.74 28,590

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

1,620 1.8 18.43 38,320

Tool and Die Makers

4,540 7.2 24.46 50,890

Welders, Cutters, Solderers, and Brazers

2,870 0.9 19.62 40,810

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

900 2.0 16.57 34,460

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

560 3.2 18.96 39,450

Layout Workers, Metal and Plastic

70 0.7 22.98 47,790

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

650 2.1 15.04 31,270

Tool Grinders, Filers, and Sharpeners

290 3.4 19.84 41,270

Metal Workers and Plastic Workers, All Other

200 1.1 17.73 36,880

Prepress Technicians and Workers

360 1.2 16.62 34,560

Printing Press Operators

1,210 0.8 16.87 35,080

Print Binding and Finishing Workers

380 0.9 15.99 33,260

Laundry and Dry-Cleaning Workers

1,260 0.7 11.15 23,180

Pressers, Textile, Garment, and Related Materials

240 0.6 10.09 20,990

Sewing Machine Operators

840 0.7 14.76 30,690

Tailors, Dressmakers, and Custom Sewers

(5) (5) 12.55 26,090

Textile Cutting Machine Setters, Operators, and Tenders

140 1.1 12.88 26,780

Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders

(5) (5) 16.46 34,230

Upholsterers

30 0.1 16.97 35,310

Textile, Apparel, and Furnishings Workers, All Other

(5) (5) 17.39 36,170

Cabinetmakers and Bench Carpenters

460 0.6 17.38 36,160

Furniture Finishers

50 0.4 18.39 38,250

Sawing Machine Setters, Operators, and Tenders, Wood

(5) (5) 16.13 33,540

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

340 0.5 13.08 27,200

Power Plant Operators

210 0.7 36.36 75,640

Stationary Engineers and Boiler Operators

190 0.6 31.16 64,820

Water and Wastewater Treatment Plant and System Operators

390 0.4 23.99 49,890

Gas Plant Operators

180 1.3 30.63 63,710

Petroleum Pump System Operators, Refinery Operators, and Gaugers

(5) (5) 25.66 53,380

Chemical Equipment Operators and Tenders

390 0.7 18.58 38,640

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

240 0.6 20.35 42,320

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

70 0.3 17.39 36,180

Grinding and Polishing Workers, Hand

220 0.9 15.90 33,070

Mixing and Blending Machine Setters, Operators, and Tenders

1,570 1.4 17.98 37,400

Cutting and Slicing Machine Setters, Operators, and Tenders

450 0.8 14.97 31,130

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

530 0.9 13.76 28,630

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

50 0.3 13.85 28,810

Inspectors, Testers, Sorters, Samplers, and Weighers

9,180 2.1 16.82 34,990

Jewelers and Precious Stone and Metal Workers

350 1.6 16.29 33,880

Dental Laboratory Technicians

600 1.9 21.56 44,850

Medical Appliance Technicians

60 0.5 25.00 52,000

Ophthalmic Laboratory Technicians

450 1.9 16.94 35,230

Packaging and Filling Machine Operators and Tenders

2,510 0.8 14.76 30,710

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

1,260 1.7 11.94 24,830

Painters, Transportation Equipment

430 1.0 29.05 60,420

Painting, Coating, and Decorating Workers

(5) (5) 15.25 31,720

Photographic Process Workers and Processing Machine Operators

130 0.7 (5) (5)

Adhesive Bonding Machine Operators and Tenders

(5) (5) 10.29 21,410

Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

90 0.6 15.12 31,460

Etchers and Engravers

(5) (5) 16.65 34,640

Molders, Shapers, and Casters, Except Metal and Plastic

810 2.5 14.66 30,490

Paper Goods Machine Setters, Operators, and Tenders

330 0.4 19.81 41,190

Helpers--Production Workers

7,310 2.0 13.75 28,590

Production Workers, All Other

3,260 1.6 16.54 34,410

Footnotes:
(1) For a complete listing of all detailed occupations in the Warren-Troy-Farmington Hills Metropolitan Division, see www.bls.gov/oes/current/oes_47664.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) Estimates not released.
 

 

Last Modified Date: Wednesday, June 22, 2016