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18-419-CHI
Wednesday, May 16, 2018

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Occupational Employment and Wages in Cleveland-Elyria — May 2017

Workers in the Cleveland-Elyria Metropolitan Statistical Area had an average (mean) hourly wage of $23.52 in May 2017, about 3 percent below the nationwide average of $24.34, 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 13 of 22 major groups, including legal; computer and mathematical; and arts, design, entertainment, sports, and media. Two occupational groups, construction and extraction and sales and related, had significantly higher wages than their respective national averages.

When compared to the nationwide distribution, local employment was more highly concentrated in 6 of the 22 occupational groups, including production; healthcare practitioners and technical; and healthcare support. Conversely, eight groups had employment shares significantly below their national representation, including transportation and material moving; construction and extraction; and personal care and service. (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 2017
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 $24.34 $23.52* -3

Management

5.1 4.6* 57.65 54.90* -5

Business and financial operations

5.2 5.6* 36.70 34.47* -6

Computer and mathematical

3.0 3.1 43.18 35.59* -18

Architecture and engineering

1.8 1.7 41.44 38.97* -6

Life, physical, and social science

0.8 0.8 35.76 38.88 9

Community and social service

1.5 1.7 23.10 23.52 2

Legal

0.8 0.9* 51.62 39.42* -24

Education, training, and library

6.1 5.7 26.67 26.38 -1

Arts, design, entertainment, sports, and media

1.4 1.2 28.34 22.08* -22

Healthcare practitioners and technical

6.0 7.2* 38.83 36.66* -6

Healthcare support

2.9 3.4* 15.05 13.90* -8

Protective service

2.4 2.7* 22.69 20.57* -9

Food preparation and serving related

9.3 8.9* 11.88 11.17* -6

Building and grounds cleaning and maintenance

3.1 3.0 13.91 13.37* -4

Personal care and service

3.6 2.7* 13.11 12.60* -4

Sales and related

10.2 9.6* 19.56 20.51* 5

Office and administrative support

15.4 15.8 18.24 18.10 -1

Farming, fishing, and forestry

0.3 0.1* 13.87 13.16 -5

Construction and extraction

4.0 3.1* 24.01 25.35* 6

Installation, maintenance, and repair

3.9 3.5* 23.02 22.88 -1

Production

6.3 8.7* 18.30 18.60 2

Transportation and material moving

7.0 6.0* 17.82 17.02* -4

Footnotes:
(1) A positive percent difference measures how much the mean wage in the Cleveland-Elyria Metropolitan Statistical Area 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. Cleveland-Elyria had 89,040 jobs in production, accounting for 8.7 percent of local area employment, significantly higher than the 6.3-percent share nationally. The average hourly wage for this occupational group locally was $18.60, compared to the national wage of $18.30.

Some of the larger detailed occupations within the production group included assemblers and fabricators, all other, including team assemblers (10,440); inspectors, testers, sorters, samplers, and weighers (6,480); and machinists (6,220). Among the higher paying jobs in this group were power plant operators with mean hourly wages of $37.66 and power distributors and dispatchers at $35.86. At the lower end of the wage scale were laundry and dry-cleaning workers ($11.21) and pressers, textile, garment, and related materials ($11.23). (Detailed data for production occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/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, engine and other machine assemblers were employed at 4.4 times the national rate in Cleveland, and tool and die makers, at 4.3 times the U.S. average. On the other hand, bakers 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 release of the May 2017 estimates, the OES program has replaced 21 detailed occupations found in the 2010 Standard Occupational Classification (SOC) with 10 new aggregations of those occupations. In addition, selected 4- and 5-digit North American Industry Classification System (NAICS) industries previously published by OES will no longer be published separately. Some of the 4-digit NAICS industries that are no longer being published separately will instead be published as OES-specific industry aggregations. More information about the new occupational and industry aggregations is available at www.bls.gov/oes/changes_2017.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 survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. The OES data available from BLS include cross-industry occupational employment and wage estimates for the nation; over 650 areas, including states and the District of Columbia, metropolitan statistical areas (MSAs), metropolitan divisions, nonmetropolitan areas, and territories; national industry-specific estimates at the NAICS sector, 3-, 4-, and selected 5- and 6-digit industry levels, and national estimates 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. Each year, two semiannual panels of approximately 200,000 sampled establishments are contacted, one panel in May and the other in November. Responses are obtained by mail, Internet or other electronic means, email, telephone, or personal visit. The May 2017 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2017, November 2016, May 2016, November 2015, May 2015, and November 2014. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 72 percent based on establishments and 68 percent based on weighted sampled employment. The unweighted sample employment of 82 million across all six semiannual panels represents approximately 58 percent of total national employment. The sample in the Cleveland-Elyria Metropolitan Statistical Area included 5,490 establishments with a response rate of 75 percent. For more information about OES concepts and methodology, go to www.bls.gov/oes/current/oes_tec.htm.

The May 2017 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2017 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 2017 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 of Ohio.

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/current/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 2017
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production occupations

89,040 1.4 $18.60 $38,680

First-line supervisors of production and operating workers

5,990 1.4 30.39 63,210

Aircraft structure, surfaces, rigging, and systems assemblers

100 0.4 24.27 50,480

Coil winders, tapers, and finishers

120 1.3 20.76 43,180

Electrical, electronic, and electromechanical assemblers, except coil winders, tapers, and finishers

2,090 1.1 16.32 33,940

Engine and other machine assemblers

1,210 4.4 23.97 49,860

Structural metal fabricators and fitters

400 0.7 19.25 40,030

Fiberglass laminators and fabricators

50 0.3 14.24 29,630

Assemblers and fabricators, all other, including team assemblers

10,440 1.1 15.74 32,750

Bakers

1,280 1.0 12.21 25,390

Butchers and meat cutters

760 0.8 18.88 39,270

Meat, poultry, and fish cutters and trimmers

120 0.1 15.85 32,970

Slaughterers and meat packers

(5) (5) 13.16 27,370

Food and tobacco roasting, baking, and drying machine operators and tenders

(5) (5) 15.21 31,630

Food batchmakers

410 0.4 15.63 32,500

Food cooking machine operators and tenders

180 0.8 14.31 29,760

Food processing workers, all other

110 0.4 11.98 24,910

Computer-controlled machine tool operators, metal and plastic

3,390 3.2 19.99 41,580

Computer numerically controlled machine tool programmers, metal and plastic

620 3.6 23.89 49,700

Extruding and drawing machine setters, operators, and tenders, metal and plastic

1,390 2.6 16.61 34,540

Forging machine setters, operators, and tenders, metal and plastic

330 2.5 20.68 43,010

Rolling machine setters, operators, and tenders, metal and plastic

620 3.4 19.32 40,180

Cutting, punching, and press machine setters, operators, and tenders, metal and plastic

3,360 2.5 15.99 33,260

Drilling and boring machine tool setters, operators, and tenders, metal and plastic

240 3.1 20.73 43,110

Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic

1,630 3.0 17.20 35,780

Lathe and turning machine tool setters, operators, and tenders, metal and plastic

520 2.4 19.98 41,550

Machinists

6,220 2.3 19.93 41,450

Metal-refining furnace operators and tenders

440 3.5 15.81 32,890

Pourers and casters, metal

(5) (5) 17.82 37,070

Model makers, metal and plastic

40 1.0 25.93 53,940

Foundry mold and coremakers

490 4.8 15.61 32,480

Molding, coremaking, and casting machine setters, operators, and tenders, metal and plastic

2,610 2.3 15.90 33,060

Multiple machine tool setters, operators, and tenders, metal and plastic

1,870 2.1 15.95 33,180

Tool and die makers

2,260 4.3 26.63 55,390

Welders, cutters, solderers, and brazers

2,570 0.9 19.23 40,000

Welding, soldering, and brazing machine setters, operators, and tenders

480 1.7 16.89 35,120

Heat treating equipment setters, operators, and tenders, metal and plastic

(5) (5) 20.40 42,430

Plating and coating machine setters, operators, and tenders, metal and plastic

560 2.1 14.33 29,800

Tool grinders, filers, and sharpeners

140 2.5 18.28 38,020

Metal workers and plastic workers, all other

180 1.1 14.78 30,740

Prepress technicians and workers

510 2.3 19.06 39,640

Printing press operators

1,620 1.3 17.49 36,390

Print binding and finishing workers

460 1.3 14.58 30,320

Laundry and dry-cleaning workers

1,100 0.7 11.21 23,320

Pressers, textile, garment, and related materials

420 1.4 11.23 23,360

Sewing machine operators

680 0.7 12.59 26,190

Tailors, dressmakers, and custom sewers

(5) (5) 16.67 34,680

Textile cutting machine setters, operators, and tenders

(5) (5) 15.63 32,520

Cabinetmakers and bench carpenters

690 1.0 17.36 36,100

Furniture finishers

270 2.1 16.02 33,330

Woodworking machine setters, operators, and tenders, except sawing

670 1.2 16.61 34,560

Woodworkers, all other

(5) (5) 19.19 39,920

Power distributors and dispatchers

180 2.1 35.86 74,580

Power plant operators

(5) (5) 37.66 78,340

Stationary engineers and boiler operators

260 1.1 28.74 59,770

Water and wastewater treatment plant and system operators

730 0.9 25.18 52,370

Chemical plant and system operators

(5) (5) 23.77 49,450

Plant and system operators, all other

80 0.9 27.83 57,890

Chemical equipment operators and tenders

2,100 3.7 20.61 42,870

Separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders

180 0.5 17.73 36,880

Crushing, grinding, and polishing machine setters, operators, and tenders

220 1.0 16.17 33,630

Grinding and polishing workers, hand

(5) (5) 15.27 31,750

Mixing and blending machine setters, operators, and tenders

1,530 1.6 18.09 37,630

Cutters and trimmers, hand

60 0.7 13.68 28,460

Cutting and slicing machine setters, operators, and tenders

580 1.3 16.78 34,900

Extruding, forming, pressing, and compacting machine setters, operators, and tenders

900 1.6 15.01 31,230

Furnace, kiln, oven, drier, and kettle operators and tenders

50 0.4 16.48 34,280

Inspectors, testers, sorters, samplers, and weighers

6,480 1.7 20.42 42,470

Jewelers and precious stone and metal workers

50 0.3 15.31 31,850

Dental laboratory technicians

360 1.4 20.83 43,330

Medical appliance technicians

200 2.1 14.99 31,180

Ophthalmic laboratory technicians

260 1.2 15.22 31,660

Packaging and filling machine operators and tenders

1,950 0.7 14.16 29,460

Coating, painting, and spraying machine setters, operators, and tenders

1,180 1.9 19.58 40,730

Painters, transportation equipment

160 0.4 19.57 40,700

Photographic process workers and processing machine operators

130 0.8 21.95 45,660

Adhesive bonding machine operators and tenders

190 1.7 14.82 30,830

Cleaning, washing, and metal pickling equipment operators and tenders

160 1.3 16.61 34,550

Etchers and engravers

290 4.7 18.46 38,400

Molders, shapers, and casters, except metal and plastic

(5) (5) 16.49 34,290

Paper goods machine setters, operators, and tenders

660 1.0 17.80 37,020

Helpers--production workers

3,100 1.1 13.98 29,080

Production workers, all other

4,280 2.3 13.98 29,080

Footnotes:
(1) For a complete listing of all detailed occupations in Cleveland-Elyria, 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: Wednesday, May 16, 2018