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15-917-CHI
Tuesday, June 23, 2015

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Occupational Employment and Wages in Cincinnati-Middletown — May 2014

Workers in the Cincinnati-Middletown Metropolitan Statistical Area had an average (mean) hourly wage of $22.23 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 3 of the 22 major occupational groups. Sixteen groups had significantly lower wages than their respective national averages, including arts, design, entertainment, sports, and media; life, physical, and social science; and computer and mathematical.

When compared to the nationwide distribution, local employment was more highly concentrated in 8 of the 22 occupational groups, including production; healthcare practitioners and technical; and transportation and material moving. Conversely, 10 groups had employment shares significantly below their national representation, including construction and extraction; sales and related; 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 Cincinnati-Middletown Metropolitan Statistical Area, and measures of statistical significance, May 2014
Major occupational group Percent of total employment Mean hourly wage
United States Cincinnati United States Cincinnati Percent difference (1)

Total, all occupations

100.0% 100.0% $22.71 $22.23* -2

Management

5.0 5.4* 54.08 50.87* -6

Business and financial operations

5.1 5.7* 34.81 31.83* -9

Computer and mathematical

2.8 2.9 40.37 36.49* -10

Architecture and engineering

1.8 2.0* 39.19 36.80* -6

Life, physical, and social science

0.8 0.7* 33.69 29.60* -12

Community and social services

1.4 1.2* 21.79 20.79* -5

Legal

0.8 0.6* 48.61 44.78* -8

Education, training, and library

6.2 5.6* 25.10 26.76 7

Arts, design, entertainment, sports, and media

1.3 1.2 26.82 21.90* -18

Healthcare practitioners and technical

5.8 6.6* 36.54 35.01* -4

Healthcare support

2.9 3.2* 13.86 13.38* -3

Protective service

2.4 2.0* 21.14 20.12 -5

Food preparation and serving related

9.1 9.6* 10.57 9.99* -5

Building and grounds cleaning and maintenance

3.2 2.8* 12.68 12.10* -5

Personal care and service

3.1 2.4* 12.01 11.72 -2

Sales and related

10.5 9.8* 18.59 19.84* 7

Office and administrative support

16.0 16.1 17.08 16.72* -2

Farming, fishing, and forestry

0.3 (2)* 12.09 13.99* 16

Construction and extraction

3.9 3.2* 22.40 21.68* -3

Installation, maintenance, and repair

3.9 3.7 21.74 21.18* -3

Production

6.6 7.8* 17.06 17.72* 4

Transportation and material moving

6.8 7.5* 16.57 15.71* -5

Footnotes:
(1) A positive percent difference measures how much the mean wage in Cincinnati 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. Cincinnati-Middletown had 78,970 jobs in production, accounting for 7.8 percent of local area employment, significantly higher than the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $17.72, significantly above the national wage of $17.06.

Some of the largest detailed occupations within the production group included team assemblers (7,520), packaging and filling machine operators and tenders (5,670), and inspectors, testers, sorters, samplers, and weighers (5,100). Among the higher paying jobs were power distributors and dispatchers; and power plant operators, with mean hourly wages of $37.11 and $33.22, respectively. At the lower end of the wage scale were pressers, textile, garment, and related materials ($10.28) and laundry and dry-cleaning workers ($10.71). (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_17140.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 Cincinnati-Middletown Metropolitan Statistical Area, above-average concentrations of employment were found in some of the occupations within the production group. For instance, multiple machine tool setters, operators, and tenders, metal and plastic were employed at 2.1 times the national rate in Cincinnati, and paper goods machine setters, operators, and tenders, at 2.1 times the U.S. average. On the other hand, first-line supervisors of production and operating workers had a location quotient of 1.0 in Cincinnati, 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, Ohio Department of Job & Family Services, Indiana Department of Workforce Development, and Kentucky Department of Workforce Investment.

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 Cincinnati-Middletown Metropolitan Statistical Area included 7,471 establishments with a response rate of 76 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 Cincinnati-Middletown, Ohio-Ky.-Ind. Metropolitan Statistical Area  includes Brown, Butler, Clermont, Hamilton, and Warren Counties of Ohio; Boone, Bracken, Campbell, Gallatin, Grant, Kenton and Pendleton Counties of Kentucky; and Dearborn, Franklin, and Ohio Counties of Indiana.

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, Cincinnati-Middletown Metropolitan Statistical Area, May 2014
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production Occupations

78,970 1.2 $17.72 $36,850

First-Line Supervisors of Production and Operating Workers

4,630 1.0 28.25 58,770

Aircraft Structure, Surfaces, Rigging, and Systems Assemblers

50 0.2 20.25 42,130

Coil Winders, Tapers, and Finishers

280 2.5 20.30 42,220

Electrical and Electronic Equipment Assemblers

1,360 0.9 15.46 32,160

Electromechanical Equipment Assemblers

340 1.0 18.21 37,870

Engine and Other Machine Assemblers

340 1.2 24.23 50,400

Structural Metal Fabricators and Fitters

490 0.8 16.89 35,140

Fiberglass Laminators and Fabricators

60 0.4 14.43 30,010

Team Assemblers

7,520 0.9 16.15 33,600

Assemblers and Fabricators, All Other

3,320 1.9 13.46 28,000

Bakers

1,100 0.9 14.18 29,490

Butchers and Meat Cutters

1,180 1.2 15.16 31,540

Meat, Poultry, and Fish Cutters and Trimmers

600 0.5 11.36 23,620

Slaughterers and Meat Packers

370 0.6 11.33 23,560

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

(5) (5) 13.82 28,740

Food Batchmakers

870 1.0 14.50 30,150

Food Cooking Machine Operators and Tenders

200 0.7 14.37 29,890

Food Processing Workers, All Other

170 0.5 13.86 28,820

Computer-Controlled Machine Tool Operators, Metal and Plastic

2,250 2.0 17.62 36,640

Computer Numerically Controlled Machine Tool Programmers, Metal and Plastic

190 1.0 24.59 51,150

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

880 1.6 16.74 34,810

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

(5) (5) 18.50 38,470

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

(5) (5) 21.64 45,000

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

1,660 1.2 15.47 32,180

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

110 0.9 17.48 36,360

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

550 1.0 17.90 37,240

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

510 1.6 19.33 40,200

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

240 1.5 18.48 38,440

Machinists

4,590 1.6 21.17 44,040

Metal-Refining Furnace Operators and Tenders

(5) (5) 17.53 36,450

Pourers and Casters, Metal

40 0.5 17.08 35,520

Model Makers, Metal and Plastic

120 2.5 24.27 50,480

Patternmakers, Metal and Plastic

(5) (5) 20.13 41,870

Foundry Mold and Coremakers

110 1.3 14.99 31,170

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

1,880 2.0 16.33 33,970

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

1,520 2.1 17.40 36,190

Tool and Die Makers

630 1.1 24.62 51,200

Welders, Cutters, Solderers, and Brazers

2,460 0.9 18.78 39,070

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

580 1.4 15.52 32,290

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

150 1.0 23.38 48,630

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

380 1.4 16.20 33,690

Tool Grinders, Filers, and Sharpeners

60 0.8 17.97 37,390

Metal Workers and Plastic Workers, All Other

90 0.6 16.70 34,740

Prepress Technicians and Workers

510 1.9 19.09 39,700

Printing Press Operators

2,470 2.0 17.73 36,880

Print Binding and Finishing Workers

530 1.4 15.38 31,990

Laundry and Dry-Cleaning Workers

1,300 0.9 10.71 22,270

Pressers, Textile, Garment, and Related Materials

730 2.0 10.28 21,380

Sewing Machine Operators

750 0.7 12.93 26,900

Shoe and Leather Workers and Repairers

40 0.6 10.86 22,600

Sewers, Hand

(5) (5) 12.54 26,090

Tailors, Dressmakers, and Custom Sewers

(5) (5) 12.73 26,490

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

130 0.9 16.16 33,610

Upholsterers

80 0.3 14.81 30,810

Textile, Apparel, and Furnishings Workers, All Other

60 0.5 13.98 29,080

Cabinetmakers and Bench Carpenters

480 0.7 17.08 35,530

Furniture Finishers

40 0.3 14.92 31,040

Sawing Machine Setters, Operators, and Tenders, Wood

160 0.5 13.12 27,300

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

280 0.5 13.06 27,160

Woodworkers, All Other

70 1.3 13.39 27,860

Power Distributors and Dispatchers

130 1.5 37.11 77,190

Power Plant Operators

540 1.8 33.22 69,090

Stationary Engineers and Boiler Operators

320 1.1 25.24 52,510

Water and Wastewater Treatment Plant and System Operators

490 0.6 21.50 44,710

Chemical Plant and System Operators

460 1.6 22.49 46,780

Petroleum Pump System Operators, Refinery Operators, and Gaugers

190 0.6 28.56 59,390

Plant and System Operators, All Other

(5) (5) 28.10 58,440

Chemical Equipment Operators and Tenders

760 1.6 23.99 49,900

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

(5) (5) 19.46 40,470

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

(5) (5) 15.81 32,890

Grinding and Polishing Workers, Hand

160 0.7 15.98 33,230

Mixing and Blending Machine Setters, Operators, and Tenders

1,780 1.9 19.52 40,610

Cutters and Trimmers, Hand

80 0.7 13.19 27,430

Cutting and Slicing Machine Setters, Operators, and Tenders

(5) (5) 17.01 35,380

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

280 0.6 18.31 38,080

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

100 0.6 16.84 35,030

Inspectors, Testers, Sorters, Samplers, and Weighers

5,100 1.4 19.63 40,840

Jewelers and Precious Stone and Metal Workers

150 0.8 16.47 34,260

Dental Laboratory Technicians

240 0.9 20.23 42,080

Medical Appliance Technicians

50 0.5 24.10 50,120

Ophthalmic Laboratory Technicians

(5) (5) 14.55 30,270

Packaging and Filling Machine Operators and Tenders

5,670 2.0 15.78 32,820

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

800 1.2 17.12 35,600

Painters, Transportation Equipment

190 0.5 20.65 42,960

Photographic Process Workers and Processing Machine Operators

(5) (5) 13.84 28,790

Adhesive Bonding Machine Operators and Tenders

210 1.5 14.16 29,450

Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders

150 1.1 14.64 30,440

Etchers and Engravers

40 0.6 15.45 32,140

Molders, Shapers, and Casters, Except Metal and Plastic

120 0.5 17.65 36,710

Paper Goods Machine Setters, Operators, and Tenders

1,410 2.1 16.24 33,770

Tire Builders

100 0.8 15.32 31,870

Helpers--Production Workers

3,820 1.2 12.18 25,330

Production Workers, All Other

1,830 1.1 15.96 33,200

Footnotes:
(1) For a complete listing of all detailed occupations in Cincinnati-Middletown, OH-KY-IN, see www.bls.gov/oes/current/oes_17140.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