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13-1087-ATL

Wednesday, June 26, 2013

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Occupational Employment and Wages in Greenville-Mauldin-Easley, May 2012

Workers in the Greenville-Mauldin-Easley Metropolitan Statistical Area had an average (mean) hourly wage of $19.32 in May 2012, about 12 percent below the nationwide average of $22.01, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Janet S. Rankin noted that, after testing for statistical significance, wages in the local area were significantly lower than their respective national averages in 17 of the 22 major occupational groups, including construction and extraction, computer and mathematical, and transportation and material moving.

When compared to the nationwide distribution, local employment was more highly concentrated in 3 of the 22 occupational groups, including production, transportation and material moving, and architecture and engineering. Conversely, 14 groups had employment shares significantly below their national representation, including education, training, and library; business and financial operations; and construction and extraction. (See table A and box note at end of release.)

One occupational group—production—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Greenville-Mauldin-Easley had 36,370 jobs in production, accounting for 12.2 percent of local area employment, significantly higher than the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $16.37, compared to the national wage of $16.59.

With employment of 11,940, team assemblers was the largest occupation within the production group, followed by machinists (2,260) and inspectors, testers, sorters, samplers, and weighers (2,120). Among the higher paying jobs were first-line supervisors of production and operating workers, and machinists, with mean hourly wages of $27.87 and $19.33, respectively. At the lower end of the wage scale were team assemblers ($13.63) and packaging and filling machine operators and tenders ($14.44). (Detailed occupational data for business and financial operations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/2012/may/oes_24860.htm.)

Table A. Occupational employment and wages by major occupational group, United States and the Greenville-Mauldin-Easley Metropolitan Statistical Area, and measures of statistical significance, May 2012
Major occupational group Percent of total employment Mean hourly wage
United States Greenville United States Greenville Percent difference (1)

Total, all occupations

100.0% 100.0% $22.01 $19.32* -12

Management

4.9 4.7* 52.20 47.16* -10

Business and financial operations

4.9 3.8* 33.44 29.13* -13

Computer and mathematical

2.7 2.2* 38.55 30.80* -20

Architecture and engineering

1.8 2.8* 37.98 36.14* -5

Life, physical, and social science

0.8 0.5* 32.87 24.44* -26

Community and social services

1.4 1.3 21.27 20.65 -3

Legal

0.8 0.6* 47.39 46.91 -1

Education, training, and library

6.4 5.2* 24.62 22.54 -8

Arts, design, entertainment, sports, and media

1.3 1.1* 26.20 22.11* -16

Healthcare practitioner and technical

5.9 5.4* 35.35 30.88* -13

Healthcare support

3.0 2.8* 13.36 12.40* -7

Protective service

2.5 1.4* 20.70 17.11* -17

Food preparation and serving related

8.9 8.5* 10.28 9.13* -11

Building and grounds cleaning and maintenance

3.3 3.5 12.34 10.40* -16

Personal care and service

2.9 2.4* 11.80 10.92* -7

Sales and related

10.6 10.9 18.26 16.68* -9

Office and administrative support

16.4 15.9 16.54 15.17* -8

Farming, fishing, and forestry

0.3 (2)* 11.65 15.56* 34

Construction and extraction

3.8 3.0* 21.61 17.31* -20

Installation, maintenance, and repair

3.9 4.2 21.09 19.80* -6

Production

6.6 12.2* 16.59 16.37 -1

Transportation and material moving

6.7 7.8* 16.15 13.42* -17

Footnotes:
(1) A positive percent difference measures how much the mean wage in Greenville 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.

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 Greenville-Mauldin-Easley Metropolitan Statistical Area, above average concentrations of employment were found in some of the occupations within the production group. For instance, textile knitting and weaving machine setters, operators, and tenders were employed at 17.8 times the national rate in Greenville, and extruding, forming, pressing, and compacting machine setters, operators, and tenders, at 5.7 times the U.S. average. On the other hand, welders, cutters, solderers, and brazers had a location quotient of 1.3 in Greenville, 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 South Carolina Department of Employment and Workforce.

With the release of the May 2012 estimates, OES data are based on the 2010 Standard Occupational Classification (SOC) system for the first time. The OES survey provides estimates of employment and hourly and annual wages for wage and salary workers in 22 major occupational groups and more than 800 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 for the first time. Information about the 2010 SOC is available on the BLS website at www.bls.gov/soc.

The May 2012 OES estimates are the first to be produced using the 2012 North American Industry Classification System (NAICS). Information about the 2012 NAICS is available on the BLS website at www.bls.gov/bls/naics.htm .

OES wage and employment data for the 22 major occupational groups in the Greenville 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 2012 estimates are based on responses from six semiannual panels collected in May 2012, November 2011, May 2011, November 2010, May 2010, and November 2009. The overall national response rate for the six panels is 76.6 percent based on establishments and 72.9 percent based on employment. The sample in the Greenville-Mauldin-Easley Metropolitan Statistical Area included 2,723 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.

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 Greenville-Mauldin-Easley, S.C. Metropolitan Statistical Area  includes Greenville, Laurens and Pickens Counties.

Additional information

OES data are available on our regional web page at www.bls.gov/ro4/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/2012/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.

OOH Earnings Table Extraction Wizard - output frame
Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Greenville-Mauldin-Easley Metropolitan Statistical Area, May 2012
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Production Occupations

36,3701.9$16.37$34,050

First-Line Supervisors of Production and Operating Workers

1,8401.427.8757,960

Electrical and Electronic Equipment Assemblers

4901.111.9024,750

Electromechanical Equipment Assemblers

500.414.7030,580

Structural Metal Fabricators and Fitters

1300.718.6938,880

Team Assemblers

11,9405.213.6328,360

Assemblers and Fabricators, All Other

1900.310.9922,860

Bakers

2700.710.3321,480

Butchers and Meat Cutters

2200.712.8826,790

Food Batchmakers

1500.712.7826,570

Computer-Controlled Machine Tool Operators, Metal and Plastic

8102.519.4640,480

Computer Numerically Controlled Machine Tool Programmers, Metal and Plastic

601.025.2952,600

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

4301.018.6438,770

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

701.428.9760,260

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

1500.916.2333,760

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

1101.316.3333,970

Machinists

2,2602.519.3340,200

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

3801.313.9128,930

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

(5)(5)18.7639,030

Tool and Die Makers

1701.024.0850,090

Welders, Cutters, Solderers, and Brazers

9701.318.9539,420

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

900.817.8837,180

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

1402.816.8034,950

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

700.915.7732,810

Prepress Technicians and Workers

(5)(5)16.1433,560

Printing Press Operators

7101.817.7536,930

Print Binding and Finishing Workers

800.613.7828,670

Laundry and Dry-Cleaning Workers

(5)(5)10.5321,900

Pressers, Textile, Garment, and Related Materials

1901.69.0418,810

Sewing Machine Operators

7002.110.7722,390

Tailors, Dressmakers, and Custom Sewers

(5)(5)11.5223,960

Textile Bleaching and Dyeing Machine Operators and Tenders

1706.411.6724,280

Textile Cutting Machine Setters, Operators, and Tenders

802.413.6128,310

Textile Knitting and Weaving Machine Setters, Operators, and Tenders

86017.814.2129,560

Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders

2103.312.7326,470

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

1704.217.0535,450

Cabinetmakers and Bench Carpenters

1801.015.1131,420

Sawing Machine Setters, Operators, and Tenders, Wood

500.611.7724,480

Woodworking Machine Setters, Operators, and Tenders, Except Sawing

1901.413.1827,400

Stationary Engineers and Boiler Operators

600.731.2164,910

Water and Wastewater Treatment Plant and System Operators

1300.518.5238,520

Chemical Plant and System Operators

3403.922.1246,010

Chemical Equipment Operators and Tenders

1801.419.6940,950

Mixing and Blending Machine Setters, Operators, and Tenders

3201.219.0639,640

Cutters and Trimmers, Hand

301.011.5323,980

Cutting and Slicing Machine Setters, Operators, and Tenders

1601.221.3644,430

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

8805.718.7939,090

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

400.815.9133,100

Inspectors, Testers, Sorters, Samplers, and Weighers

2,1202.014.7930,750

Ophthalmic Laboratory Technicians

1201.813.0827,200

Packaging and Filling Machine Operators and Tenders

9901.214.4430,040

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

1700.918.5238,520

Painters, Transportation Equipment

1000.919.7140,990

Painting, Coating, and Decorating Workers

501.311.0623,000

Photographic Process Workers and Processing Machine Operators

900.910.9822,840

Adhesive Bonding Machine Operators and Tenders

601.519.7241,020

Molders, Shapers, and Casters, Except Metal and Plastic

2303.312.6026,210

Paper Goods Machine Setters, Operators, and Tenders

2901.314.1629,440

Helpers--Production Workers

1,1501.213.4527,970

Production Workers, All Other

(5)(5)14.0929,320

Footnotes:
(1) For a complete listing of all detailed occupations in Greenville-Mauldin-Easley, SC, see www.bls.gov/oes/current/oes_24860.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 26, 2013