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14-1121-CHI

Thursday, June 26, 2014

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Occupational Employment and Wages in Cleveland-Elyria-Mentor, Ohio MSA – May 2013


Workers in the Cleveland-Elyria-Mentor Metropolitan Statistical Area had an average (mean) hourly wage of $21.82 in May 2013, about 2 percent below the nationwide average of $22.33, 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 significantly higher than their respective national averages in 5 of the 22 major occupational groups, including education, training, and library; construction and extraction; and community and social service. Eleven groups had significantly lower wages than their respective national averages, including legal; computer and mathematical; and arts, design, entertainment, sports, and media.

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, 10 groups had employment shares significantly below their national representation, including construction and extraction; sales and related; and transportation and material moving. (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 2013
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% $22.33 $21.82* -2

Management

4.9 5.0 53.15 49.34* -7

Business and financial operations

5.0 5.0 34.14 31.03* -9

Computer and mathematical

2.8 2.8 39.43 33.73* -14

Architecture and engineering

1.8 1.6* 38.51 34.82* -10

Life, physical, and social science

0.9 0.5* 33.37 29.73* -11

Community and social services

1.4 1.2 21.50 22.21* 3

Legal

0.8 0.8 47.89 41.31* -14

Education, training, and library

6.3 5.8* 24.76 28.51* 15

Arts, design, entertainment, sports, and media

1.3 1.1* 26.72 22.77* -15

Healthcare practitioner and technical

5.8 7.5* 35.93 34.47 -4

Healthcare support

3.0 4.1* 13.61 12.49* -8

Protective service

2.5 2.6 20.92 18.92* -10

Food preparation and serving related

9.0 8.7 10.38 9.97* -4

Building and grounds cleaning and maintenance

3.2 3.1 12.51 12.33 -1

Personal care and service

3.0 2.3* 11.88 11.82 -1

Sales and related

10.6 9.8* 18.37 18.97* 3

Office and administrative support

16.2 16.2 16.78 16.69 -1

Farming, fishing, and forestry

0.3 (2)* 11.70 13.33* 14

Construction and extraction

3.8 2.9* 21.94 23.80* 8

Installation, maintenance, and repair

3.9 3.7* 21.35 20.65* -3

Production

6.6 9.1* 16.79 17.00 1

Transportation and material moving

6.8 6.1* 16.28 15.57 -4

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 91,880 jobs in production, accounting for 9.1 percent of local area employment, significantly higher than the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $17.00, compared to the national wage of $16.79.

With employment of 9,290, team assemblers was the largest occupation within the production group, followed by machinists (6,610) and first-line supervisors of production and operating workers (5,530). Among the higher paying jobs were power distributors and dispatchers along with power plant operators, with mean hourly wages of $31.08 and $29.75, respectively. At the lower end of the wage scale were pressers, textile, garment, and related materials ($10.44) and laundry and dry-cleaning workers ($10.71). (Detailed occupational data for production workers 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 for the exploration of an area’s occupational make-up 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, foundry mold and coremakers were employed at 5.7 times the national rate in Cleveland, and rolling machine setters, operators, and tenders, metal and plastic, at 5.5 times the U.S. average. On the other hand, cabinetmakers and bench carpenters 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 and Family Services.

OES wage and employment data for the 22 major occupational groups in the Cleveland Metropolitan Statistical Area were compared to their respective national averages based on statistical significance testing. Only those occupations with wages or employment shares above or below the national wage or share after testing for significance at the 90-percent confidence level meet the criteria.

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 for a 3-year period. May 2013 estimates are based on responses from six semiannual panels collected in May 2013, November 2012, May 2012, November 2011, May 2011, and November 2010. The overall national response rate for the six panels is 75.3 percent based on establishments and 71.6 percent based on employment. The sample in the Cleveland Metropolitan Statistical Area included 5,573 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 2013 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.

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/ro5/home.htm. 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/2013/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: 1-800-877-8339.

OOH Earnings Table Extraction Wizard - output frame
Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Cleveland-Elyria-Mentor Metropolitan Statistical Area, May 2013
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual(4)

Production Occupations

91,8801.4$17.00$35,370

First-Line Supervisors of Production and Operating Workers

5,5301.327.0556,270

Aircraft Structure, Surfaces, Rigging, and Systems Assemblers

(5)(5)20.4642,550

Coil Winders, Tapers, and Finishers

(5)(5)14.9831,160

Electrical and Electronic Equipment Assemblers

2,0701.313.5028,080

Electromechanical Equipment Assemblers

4601.213.2727,610

Structural Metal Fabricators and Fitters

4800.816.8234,990

Fiberglass Laminators and Fabricators

(5)(5)14.5630,290

Team Assemblers

9,2901.215.7632,770

Assemblers and Fabricators, All Other

2,8001.513.7328,560

Bakers

1,2201.012.0625,080

Butchers and Meat Cutters

1,4501.414.0329,180

Meat, Poultry, and Fish Cutters and Trimmers

1500.111.6024,130

Slaughterers and Meat Packers

1400.212.0325,030

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

400.312.9226,870

Food Batchmakers

3800.511.8624,680

Food Cooking Machine Operators and Tenders

1100.410.9122,690

Food Processing Workers, All Other

1000.310.8022,460

Computer-Controlled Machine Tool Operators, Metal and Plastic

2,6502.517.2035,780

Computer Numerically Controlled Machine Tool Programmers, Metal and Plastic

2801.521.8145,360

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

1,4902.716.3934,100

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

3802.217.8537,130

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

1,3705.516.1933,670

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

4,1102.915.2831,780

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

2801.819.8641,300

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

9501.818.0237,490

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

1,3504.217.8037,020

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

2801.619.5740,700

Machinists

6,6102.218.8039,100

Metal-Refining Furnace Operators and Tenders

4202.518.4938,470

Pourers and Casters, Metal

1802.315.8532,960

Model Makers, Metal and Plastic

(5)(5)23.7949,490

Patternmakers, Metal and Plastic

301.020.1741,960

Foundry Mold and Coremakers

5605.715.0131,210

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

1,8201.913.5228,120

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

1,8002.515.1631,540

Tool and Die Makers

2,7904.726.4855,080

Welders, Cutters, Solderers, and Brazers

2,4000.917.7636,940

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

5301.417.3236,030

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

6504.015.4132,050

Layout Workers, Metal and Plastic

600.620.7843,220

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

7402.712.4225,840

Tool Grinders, Filers, and Sharpeners

1301.522.6047,020

Metal Workers and Plastic Workers, All Other

1300.818.2037,860

Prepress Technicians and Workers

7402.618.4838,440

Printing Press Operators

2,1001.717.5936,590

Print Binding and Finishing Workers

3700.913.7828,670

Laundry and Dry-Cleaning Workers

1,2000.810.7122,280

Pressers, Textile, Garment, and Related Materials

3000.810.4421,710

Sewing Machine Operators

9000.811.4023,710

Tailors, Dressmakers, and Custom Sewers

(5)(5)14.3129,760

Textile Cutting Machine Setters, Operators, and Tenders

300.313.2927,640

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

(5)(5)12.1425,250

Upholsterers

500.219.3140,170

Cabinetmakers and Bench Carpenters

6401.018.1837,820

Furniture Finishers

(5)(5)14.9831,170

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

5401.114.9731,150

Woodworkers, All Other

(5)(5)18.1937,830

Power Distributors and Dispatchers

2903.431.0864,640

Power Plant Operators

1100.429.7561,870

Stationary Engineers and Boiler Operators

1700.624.9551,900

Water and Wastewater Treatment Plant and System Operators

5200.622.8347,490

Chemical Plant and System Operators

4801.620.5042,650

Petroleum Pump System Operators, Refinery Operators, and Gaugers

(5)(5)26.0254,130

Plant and System Operators, All Other

(5)(5)23.1748,180

Chemical Equipment Operators and Tenders

8801.921.8545,450

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

(5)(5)16.6934,710

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

2000.918.3838,240

Grinding and Polishing Workers, Hand

4902.114.9331,060

Mixing and Blending Machine Setters, Operators, and Tenders

1,5301.716.7534,830

Cutters and Trimmers, Hand

(5)(5)10.7222,300

Cutting and Slicing Machine Setters, Operators, and Tenders

7801.715.2431,700

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

(5)(5)14.6430,460

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

3302.217.0535,450

Inspectors, Testers, Sorters, Samplers, and Weighers

5,4601.517.9937,410

Jewelers and Precious Stone and Metal Workers

1200.716.1933,670

Dental Laboratory Technicians

3101.117.1235,610

Medical Appliance Technicians

1201.216.4534,220

Ophthalmic Laboratory Technicians

1600.714.8630,920

Packaging and Filling Machine Operators and Tenders

3,3301.214.5030,150

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

1,2101.814.5030,160

Painters, Transportation Equipment

2500.721.2144,110

Painting, Coating, and Decorating Workers

1000.821.5144,740

Photographic Process Workers and Processing Machine Operators

3601.312.5526,110

Adhesive Bonding Machine Operators and Tenders

1901.414.2329,590

Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

2702.215.8432,940

Etchers and Engravers

(5)(5)14.1829,490

Molders, Shapers, and Casters, Except Metal and Plastic

4201.718.9539,410

Paper Goods Machine Setters, Operators, and Tenders

8201.114.4930,150

Helpers--Production Workers

4,0201.212.8826,780

Production Workers, All Other

2,4101.513.1227,280

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: June 30, 2014