News Release Information

15-916-CHI
Tuesday, June 23, 2015

Contacts

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

Occupational Employment and Wages in Cleveland-Elyria-Mentor — May 2014

Workers in the Cleveland-Elyria-Mentor Metropolitan Statistical Area had an average (mean) hourly wage of $22.26 in May 2014, about 2 percent below 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 4 of the 22 major occupational groups, including education, training, and library; construction and extraction; and sales and related. Twelve groups had significantly lower wages than their respective national averages, including computer and mathematical; legal; and arts, design, entertainment, sports, and media.

When compared to the nationwide distribution, local employment was more highly concentrated in 4 of the 22 occupational groups, including production; healthcare practitioners and technical; and healthcare support. Conversely, nine groups had employment shares significantly below their national representation, including construction and extraction; personal care and service; 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 Cleveland-Elyria-Mentor Metropolitan Statistical Area, and measures of statistical significance, May 2014
Major occupational group Percent of total employment Mean hourly wage
United States Cleveland United States Cleveland Percent difference (1)

Total, all occupations

100.0% 100.0% $22.71 $22.26* -2

Management

5.0 5.2* 54.08 49.54* -8

Business and financial operations

5.1 4.9 34.81 31.69* -9

Computer and mathematical

2.8 2.7 40.37 34.65* -14

Architecture and engineering

1.8 1.7 39.19 35.27* -10

Life, physical, and social science

0.8 0.6* 33.69 31.14* -8

Community and social services

1.4 1.3 21.79 22.47* 3

Legal

0.8 0.8 48.61 43.34* -11

Education, training, and library

6.2 5.7 25.10 29.06* 16

Arts, design, entertainment, sports, and media

1.3 1.1* 26.82 22.19* -17

Healthcare practitioners and technical

5.8 7.5* 36.54 34.41* -6

Healthcare support

2.9 3.9* 13.86 12.65* -9

Protective service

2.4 2.5 21.14 19.31* -9

Food preparation and serving related

9.1 8.7* 10.57 10.22* -3

Building and grounds cleaning and maintenance

3.2 3.2 12.68 12.52 -1

Personal care and service

3.1 2.4* 12.01 11.90 -1

Sales and related

10.5 9.9* 18.59 19.72* 6

Office and administrative support

16.0 16.0 17.08 16.88* -1

Farming, fishing, and forestry

0.3 (2)* 12.09 13.14 9

Construction and extraction

3.9 3.0* 22.40 23.86* 7

Installation, maintenance, and repair

3.9 3.7* 21.74 21.56 -1

Production

6.6 8.9* 17.06 17.27 1

Transportation and material moving

6.8 6.3* 16.57 16.15 -3

Footnotes:
(1) A positive percent difference measures how much the mean wage in Cleveland 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 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. Cleveland-Elyria-Mentor had 90,250 jobs in production, accounting for 8.9 percent of local area employment, significantly higher than the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $17.27, compared to the national wage of $17.06.

Some of the largest detailed occupations within the production group included team assemblers (9,130), machinists (6,480), and inspectors, testers, sorters, samplers, and weighers (6,110). Among the higher paying jobs were power distributors and dispatchers; and model makers, metal and plastic, with mean hourly wages of $32.70 and $30.99, respectively. At the lower end of the wage scale were pressers, textile, garment, and related materials ($10.34) and laundry and dry-cleaning workers ($10.72). (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_17460.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 Cleveland-Elyria-Mentor Metropolitan Statistical Area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, tool and die makers were employed at 4.5 times the national rate in Cleveland, and lathe and turning machine tool setters, operators, and tenders, metal and plastic, at 4.4 times the U.S. average. On the other hand, packaging and filling machine operators and tenders had a location quotient of 1.0 in Cleveland, 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 Ohio Department of Job & Family Services.

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 Cleveland-Elyria-Mentor Metropolitan Statistical Area included 5,568 establishments with a response rate of 75 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 Cleveland-Elyria-Mentor, Ohio Metropolitan Statistical Area  includes Cuyahoga, Geauga, Lake, Lorain, and Medina 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, Cleveland-Elyria-Mentor Metropolitan Statistical Area, May 2014
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production Occupations

90,250 1.4 $17.27 $35,930

First-Line Supervisors of Production and Operating Workers

5,410 1.2 27.18 56,530

Aircraft Structure, Surfaces, Rigging, and Systems Assemblers

60 0.2 23.29 48,440

Coil Winders, Tapers, and Finishers

(5) (5) 15.23 31,670

Electrical and Electronic Equipment Assemblers

1,780 1.1 13.37 27,810

Electromechanical Equipment Assemblers

430 1.2 14.84 30,870

Structural Metal Fabricators and Fitters

330 0.6 16.34 34,000

Fiberglass Laminators and Fabricators

(5) (5) 14.29 29,730

Team Assemblers

9,130 1.1 16.11 33,510

Assemblers and Fabricators, All Other

3,030 1.7 13.66 28,410

Bakers

1,340 1.0 12.27 25,530

Butchers and Meat Cutters

1,650 1.6 14.74 30,670

Meat, Poultry, and Fish Cutters and Trimmers

120 0.1 13.81 28,720

Slaughterers and Meat Packers

150 0.2 12.03 25,030

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

(5) (5) 13.71 28,510

Food Batchmakers

470 0.5 12.25 25,480

Food Cooking Machine Operators and Tenders

200 0.7 10.77 22,400

Food Processing Workers, All Other

(5) (5) 10.50 21,830

Computer-Controlled Machine Tool Operators, Metal and Plastic

3,080 2.8 17.76 36,950

Computer Numerically Controlled Machine Tool Programmers, Metal and Plastic

380 2.0 23.18 48,220

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

1,410 2.6 16.09 33,470

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

480 3.0 19.64 40,850

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

870 3.5 17.58 36,570

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

4,240 3.0 15.47 32,180

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

270 2.1 20.63 42,900

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

1,060 2.0 17.76 36,940

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

1,410 4.4 17.80 37,030

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

240 1.5 19.14 39,820

Machinists

6,480 2.2 19.06 39,640

Metal-Refining Furnace Operators and Tenders

280 1.8 18.14 37,720

Pourers and Casters, Metal

220 3.0 17.89 37,210

Model Makers, Metal and Plastic

(5) (5) 30.99 64,460

Patternmakers, Metal and Plastic

40 1.5 19.40 40,350

Foundry Mold and Coremakers

460 5.2 15.10 31,410

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

1,830 1.9 14.13 29,380

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

1,880 2.6 15.42 32,080

Tool and Die Makers

2,560 4.5 27.07 56,300

Welders, Cutters, Solderers, and Brazers

2,440 0.9 17.71 36,840

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

620 1.5 17.04 35,440

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

520 3.3 15.97 33,220

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

800 3.0 12.98 27,000

Tool Grinders, Filers, and Sharpeners

210 2.6 19.23 40,000

Metal Workers and Plastic Workers, All Other

310 1.9 15.48 32,190

Prepress Technicians and Workers

720 2.7 18.24 37,950

Printing Press Operators

2,030 1.6 17.29 35,970

Print Binding and Finishing Workers

400 1.0 14.16 29,450

Laundry and Dry-Cleaning Workers

1,170 0.8 10.72 22,300

Pressers, Textile, Garment, and Related Materials

320 0.8 10.34 21,510

Sewing Machine Operators

720 0.7 11.60 24,130

Tailors, Dressmakers, and Custom Sewers

40 0.3 13.10 27,250

Textile Cutting Machine Setters, Operators, and Tenders

30 0.3 13.10 27,260

Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers

(5) (5) 12.66 26,330

Upholsterers

80 0.4 17.79 37,010

Cabinetmakers and Bench Carpenters

620 0.9 19.04 39,600

Furniture Finishers

(5) (5) 14.61 30,390

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

480 0.9 15.36 31,950

Woodworkers, All Other

(5) (5) 16.83 35,010

Power Distributors and Dispatchers

180 2.1 32.70 68,020

Power Plant Operators

110 0.4 30.23 62,880

Stationary Engineers and Boiler Operators

190 0.7 25.38 52,800

Water and Wastewater Treatment Plant and System Operators

530 0.6 23.51 48,900

Chemical Plant and System Operators

400 1.4 21.89 45,520

Petroleum Pump System Operators, Refinery Operators, and Gaugers

(5) (5) 28.06 58,360

Plant and System Operators, All Other

(5) (5) 24.84 51,660

Chemical Equipment Operators and Tenders

960 2.0 22.53 46,870

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

190 0.6 18.23 37,910

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

210 0.9 17.85 37,120

Grinding and Polishing Workers, Hand

420 1.9 14.94 31,070

Mixing and Blending Machine Setters, Operators, and Tenders

1,320 1.4 16.18 33,660

Cutters and Trimmers, Hand

70 0.6 12.03 25,010

Cutting and Slicing Machine Setters, Operators, and Tenders

720 1.5 14.41 29,960

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

1,070 2.1 14.58 30,320

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

200 1.3 16.75 34,840

Inspectors, Testers, Sorters, Samplers, and Weighers

6,110 1.7 18.29 38,040

Jewelers and Precious Stone and Metal Workers

110 0.6 19.90 41,390

Dental Laboratory Technicians

220 0.8 19.00 39,520

Medical Appliance Technicians

140 1.4 17.07 35,500

Ophthalmic Laboratory Technicians

(5) (5) 14.29 29,730

Packaging and Filling Machine Operators and Tenders

2,920 1.0 14.62 30,400

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

1,150 1.7 15.26 31,750

Painters, Transportation Equipment

270 0.7 21.24 44,180

Painting, Coating, and Decorating Workers

70 0.5 19.43 40,420

Photographic Process Workers and Processing Machine Operators

240 1.1 13.05 27,150

Adhesive Bonding Machine Operators and Tenders

210 1.5 15.44 32,110

Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

250 1.9 14.71 30,600

Etchers and Engravers

(5) (5) 17.86 37,150

Molders, Shapers, and Casters, Except Metal and Plastic

480 1.9 19.39 40,320

Paper Goods Machine Setters, Operators, and Tenders

870 1.3 17.42 36,230

Helpers--Production Workers

3,410 1.1 12.98 27,000

Production Workers, All Other

2,160 1.3 12.85 26,730

Footnotes:
(1) For a complete listing of all detailed occupations in Cleveland-Elyria-Mentor, OH, see www.bls.gov/oes/current/oes_17460.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: Tuesday, June 23, 2015