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16-553-CHI
Monday, June 20, 2016

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Occupational Employment and Wages in Cleveland-Elyria — May 2015

Workers in the Cleveland-Elyria Metropolitan Statistical Area had an average (mean) hourly wage of $22.72 in May 2015, about 2 percent below 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 were lower than their respective national averages in 10 of the 22 major occupational groups including legal; computer and mathematical; and arts, design, entertainment, sports, and media. Two groups had significantly higher wages than their respective national averages, including: construction and extraction and sales and related.

When compared to the nationwide distribution, local employment was more highly concentrated in 3 of the 22 occupational groups: 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 Metropolitan Statistical Area, and measures of statistical significance, May 2015
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% $23.23 $22.72* -2

Management

5.0 5.0 55.30 51.65* -7

Business and Financial Operations

5.1 5.1 35.48 32.49* -8

Computer and Mathematical

2.9 2.8 41.43 35.66* -14

Architecture and Engineering

1.8 1.8 39.89 36.46* -9

Life, Physical, and Social Science

0.8 0.9 34.24 38.44 12

Community and Social Services

1.4 1.6 22.19 23.31 5

Legal

0.8 0.8 49.74 42.41* -15

Education, Training, and Library

6.2 5.6* 25.48 26.80 5

Arts, Design, Entertainment, Sports, and Media

1.3 1.1* 27.39 21.83* -20

Healthcare Practitioner and Technical

5.8 7.4* 37.40 35.36 -5

Healthcare Support

2.9 3.8* 14.19 12.86* -9

Protective Service

2.4 2.5 21.45 19.74* -8

Food Preparation and Serving Related

9.1 8.7* 10.98 10.44* -5

Building and Grounds Cleaning and Maintenance

3.2 3.1 13.02 12.89 -1

Personal Care and Service

3.1 2.3* 12.33 12.31 0

Sales and Related

10.5 9.8* 18.90 20.14* 7

Office and Administrative Support

15.8 15.7 17.47 17.28* -1

Farming, Fishing, and Forestry

0.3 (2)* 12.67 12.99 3

Construction and Extraction

4.0 3.0* 22.88 24.29* 6

Installation, Maintenance, and Repair

3.9 3.7* 22.11 21.82 -1

Production

6.6 9.0* 17.41 17.43 0

Transportation and Material Moving

6.9 6.4* 16.90 16.71 -1

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 had 91,380 jobs in production, accounting for 9.0 percent of local area employment, significantly higher than the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $17.43, compared to the national wage of $17.41.

Some of the larger detailed occupations within the production group included team assemblers (8,770); machinists (6,910); and inspectors, testers, sorters, samplers, and weighers (6,190). Among the higher paying jobs were power distributors and dispatchers ($34.83) and model makers, metal and plastic ($31.10). At the lower end of the wage scale were laundry and dry-cleaning workers ($10.51) and pressers, textile, garment, and related materials ($10.54). (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_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 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 4.3 times the national rate in Cleveland, and lathe and turning machine tool setters, operators, and tenders, metal and plastic, at 3.2 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.

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 Cleveland-Elyria Metropolitan Statistical Area included 5,587 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 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 Cleveland-Elyria, 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/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, Cleveland-Elyria Metropolitan Statistical Area, May 2015
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production Occupations

91,380 1.4 $17.43 $36,240

First-Line Supervisors of Production and Operating Workers

5,630 1.3 28.83 59,980

Aircraft Structure, Surfaces, Rigging, and Systems Assemblers

140 0.5 23.19 48,230

Coil Winders, Tapers, and Finishers

130 1.2 15.35 31,920

Electrical and Electronic Equipment Assemblers

1,920 1.2 14.75 30,680

Electromechanical Equipment Assemblers

410 1.2 15.14 31,480

Engine and Other Machine Assemblers

910 3.2 (5) (5)

Structural Metal Fabricators and Fitters

300 0.5 16.54 34,390

Fiberglass Laminators and Fabricators

(5) (5) 14.69 30,560

Team Assemblers

8,770 1.1 15.61 32,470

Assemblers and Fabricators, All Other

3,230 1.9 13.96 29,030

Bakers

1,250 1.0 12.15 25,270

Butchers and Meat Cutters

1,320 1.3 16.41 34,130

Meat, Poultry, and Fish Cutters and Trimmers

160 0.1 14.91 31,010

Slaughterers and Meat Packers

90 0.2 11.98 24,910

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

110 0.7 14.76 30,700

Food Batchmakers

440 0.4 13.04 27,130

Food Cooking Machine Operators and Tenders

200 0.8 12.27 25,530

Food Processing Workers, All Other

400 1.2 10.91 22,700

Computer-Controlled Machine Tool Operators, Metal and Plastic

3,310 3.1 17.93 37,290

Computer Numerically Controlled Machine Tool Programmers, Metal and Plastic

470 2.5 24.04 50,000

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

1,530 2.9 16.89 35,130

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

400 2.8 21.34 44,390

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

660 2.8 17.44 36,270

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

3,270 2.3 15.16 31,530

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

190 1.7 18.63 38,760

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

1,410 2.6 16.51 34,340

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

950 3.2 17.33 36,040

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

260 1.8 19.08 39,690

Machinists

6,910 2.3 19.09 39,700

Metal-Refining Furnace Operators and Tenders

330 2.2 18.09 37,620

Pourers and Casters, Metal

130 1.8 18.73 38,970

Model Makers, Metal and Plastic

(5) (5) 31.10 64,700

Patternmakers, Metal and Plastic

90 2.9 19.20 39,930

Foundry Mold and Coremakers

360 3.8 15.11 31,430

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

2,050 2.0 14.70 30,580

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

2,110 2.7 15.65 32,550

Tool and Die Makers

2,380 4.3 24.79 51,560

Welders, Cutters, Solderers, and Brazers

2,380 0.8 18.22 37,900

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

560 1.4 16.79 34,930

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

460 3.0 17.77 36,960

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

580 2.2 13.80 28,700

Tool Grinders, Filers, and Sharpeners

(5) (5) 16.76 34,870

Metal Workers and Plastic Workers, All Other

380 2.3 14.86 30,900

Prepress Technicians and Workers

710 2.7 18.90 39,320

Printing Press Operators

2,040 1.6 17.37 36,120

Print Binding and Finishing Workers

460 1.2 14.67 30,520

Laundry and Dry-Cleaning Workers

1,100 0.7 10.51 21,860

Pressers, Textile, Garment, and Related Materials

340 0.9 10.54 21,930

Sewing Machine Operators

820 0.8 11.58 24,090

Tailors, Dressmakers, and Custom Sewers

(5) (5) 13.59 28,270

Textile Cutting Machine Setters, Operators, and Tenders

(5) (5) 13.55 28,180

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

(5) (5) 17.69 36,800

Upholsterers

(5) (5) 13.67 28,430

Cabinetmakers and Bench Carpenters

600 0.9 17.06 35,490

Furniture Finishers

(5) (5) 14.60 30,370

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

480 0.9 15.04 31,280

Woodworkers, All Other

(5) (5) 18.62 38,720

Power Distributors and Dispatchers

100 1.2 34.83 72,450

Power Plant Operators

60 0.2 (5) (5)

Stationary Engineers and Boiler Operators

240 0.9 27.35 56,880

Water and Wastewater Treatment Plant and System Operators

570 0.7 23.85 49,620

Chemical Plant and System Operators

280 1.1 21.28 44,260

Petroleum Pump System Operators, Refinery Operators, and Gaugers

(5) (5) 28.25 58,750

Plant and System Operators, All Other

80 0.9 24.35 50,650

Chemical Equipment Operators and Tenders

1,530 3.1 20.55 42,750

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

260 0.7 18.06 37,570

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

220 1.0 18.47 38,420

Grinding and Polishing Workers, Hand

280 1.4 15.30 31,830

Mixing and Blending Machine Setters, Operators, and Tenders

1,280 1.3 17.00 35,350

Cutters and Trimmers, Hand

60 0.5 13.38 27,840

Cutting and Slicing Machine Setters, Operators, and Tenders

630 1.3 14.72 30,620

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

1,050 2.0 14.69 30,550

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

80 0.5 18.92 39,360

Inspectors, Testers, Sorters, Samplers, and Weighers

6,190 1.7 18.83 39,170

Dental Laboratory Technicians

380 1.4 19.12 39,770

Medical Appliance Technicians

130 1.2 14.47 30,100

Ophthalmic Laboratory Technicians

130 0.6 13.93 28,970

Packaging and Filling Machine Operators and Tenders

2,760 1.0 14.48 30,110

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

1,160 1.8 16.57 34,470

Painters, Transportation Equipment

250 0.6 21.63 44,990

Photographic Process Workers and Processing Machine Operators

240 1.4 18.37 38,200

Adhesive Bonding Machine Operators and Tenders

150 1.2 15.70 32,650

Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

270 2.1 13.54 28,150

Etchers and Engravers

(5) (5) 17.48 36,370

Molders, Shapers, and Casters, Except Metal and Plastic

460 1.6 19.16 39,850

Paper Goods Machine Setters, Operators, and Tenders

950 1.4 17.60 36,620

Helpers--Production Workers

2,720 0.8 12.68 26,370

Production Workers, All Other

(5) (5) 11.86 24,670

Footnotes:
(1) For a complete listing of all detailed occupations in the Cleveland-Elyria Metropolitan Statistical Area, 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) Estimates not released.
 

 

Last Modified Date: Monday, June 20, 2016