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13-1094-PHI

Monday, June 3, 2013

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Occupational Employment and Wages in Reading – May 2012

Workers in the Reading Metropolitan Statistical Area had an average (mean) hourly wage of $20.34 in May 2012, about 8 percent below the nationwide average of $22.01, according to the U.S. Bureau of Labor Statistics. Sheila Watkins, the Bureau’s regional commissioner, noted that, after testing for statistical significance, wages in the local area were significantly lower than their respective national averages in 8 of the 22 major occupational groups, including arts, design, entertainment, sports, and media; life, physical, and social science; and legal. Only one occupational group—production—had wages that were measurably higher than its respective national average. (See table A and box note at end of release.)

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

Total, all occupations

100.0
100.0
$22.01
$20.34*
-8

Management

4.9
3.5*
52.20
51.87
-1

Business and financial operations

4.9
3.5*
33.44
30.48*
-9

Computer and mathematical

2.7
1.4*
38.55
32.56*
-16

Architecture and engineering

1.8
1.4*
37.98
33.66*
-11

Life, physical, and social science

0.8
0.4*
32.87
26.33*
-20

Community and social service

1.4
1.9*
21.27
21.04
-1

Legal

0.8
0.5*
47.39
40.25*
-15

Education, training, and library

6.4
7.0
24.62
25.76
5

Arts, design, entertainment, sports, and media

1.3
0.9*
26.20
18.96*
-28

Healthcare practitioners and technical

5.9
6.3
35.35
33.75
-5

Healthcare support

3.0
3.3*
13.36
13.46
1

Protective service

2.5
1.4*
20.70
19.18
-7

Food preparation and serving related

8.9
8.3*
10.28
10.14
-1

Building and grounds cleaning and maintenance

3.3
3.0*
12.34
12.83
4

Personal care and service

2.9
2.6*
11.80
11.44
-3

Sales and related

10.6
10.6
18.26
17.09*
-6

Office and administrative support

16.4
15.9
16.54
16.3
-1

Farming, fishing, and forestry

0.3
0.2*
11.65
12.95
11

Construction and extraction

3.8
3.6*
21.61
21.14
-2

Installation, maintenance, and repair

3.9
4.4
21.09
20.13*
-5

Production

6.6
12.0*
16.59
17.64*
6

Transportation and material moving

6.7
7.9*
16.15
16.53
2
* 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.

Footnotes:
(1) A positive percent difference measures how much the mean wage in Reading is above the national mean wage, while a negative percent difference reflects a lower wage.

When compared to the nationwide distribution, Reading employment was more highly concentrated in four occupational groups including production and transportation and material moving. Conversely, 13 groups had employment shares significantly below their national representation; these groups included management, business and financial operations, and computer and mathematical.

One occupational group—production—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Reading had 19,680 jobs in production, accounting for 12.0 percent of local area employment, significantly above the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $17.64, significantly above the national wage of $16.59.

With employment of 2,690, team assemblers was the largest occupation within the production group, followed by metal and plastic multiple machine tool setters, operators, and tenders (1,870). Among the higher-paying jobs were first-line supervisors of production and operating workers, with a mean hourly wage of $26.46, and metal and plastic multiple machine tool setters, operators, and tenders, with a wage of $20.37. At the lower end of the wage scale were sewing machine operators ($11.39) and packaging and filling machine operators and tenders ($12.63). (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/current/oes_39740.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.) In Reading, above-average concentrations of employment were found in many of the occupations within the production group. For instance, metal and plastic multiple machine tool setters, operators, and tenders were employed at over 17 times the national rate in Reading, and metal and plastic molding, coremaking, and casting machine setters, operators, and tenders, at over 7 times the U.S. rate. In contrast, printing press operators had a location quotient of 1.1 in Reading, 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 Pennsylvania Department of Labor and Industry.

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 Reading 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 Reading Metropolitan Statistical Area included 2,020 establishments with a response rate of 77 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 Reading, Pa. Metropolitan Statistical Area (MSA) includes Berks County in Pennsylvania.

Additional information

OES data are available on our regional web page at www.bls.gov/ro3/. 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: 1-800-877-8339.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Reading Metropolitan Statistical Area, May 2012
Occupation(1) Employment(2) Mean wage
Level Location quotient(3) Hourly Annual(4)

Production occupations

19,680 1.8 $17.64 $36,690

First-line supervisors of production and operating workers

1,240 1.7 26.46 55,040

Coil winders, tapers, and finishers

150 8.5 14.46 30,080

Electrical and electronic equipment assemblers

190 0.8 14.66 30,490

Electromechanical equipment assemblers

140 2.3 14.33 29,810

Structural metal fabricators and fitters

250 2.5 19.71 41,000

Team assemblers

2,690 2.1 16.07 33,420

Assemblers and fabricators, all other

60 0.2 12.93 26,890

Bakers

240 1.2 12.68 26,380

Butchers and meat cutters

120 0.7 16.77 34,880

Meat, poultry, and fish cutters and trimmers

(5) (5) 13.53 28,140

Food batchmakers

270 2.2 13.89 28,890

Computer-controlled machine tool operators, metal and plastic

400 2.3 19.39 40,340

Computer numerically controlled machine tool programmers, metal and plastic

(5) (5) 27.29 56,760

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

230 2.5 17.66 36,720

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

(5) (5) 13.68 28,450

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

380 1.6 17.32 36,020

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

(5) (5) 14.94 31,070

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

300 3.5 15.90 33,060

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

40 0.7 18.84 39,180

Milling and planing machine setters, operators, and tenders, metal and plastic

40 1.4 18.63 38,740

Machinists

880 1.8 19.15 39,820

Metal-refining furnace operators and tenders

130 5.0 20.41 42,460

Pourers and casters, metal

90 6.5 15.60 32,450

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

1,120 7.2 17.77 36,960

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

1,870 17.5 20.37 42,380

Tool and die makers

150 1.6 20.56 42,770

Welders, cutters, solderers, and brazers

560 1.4 18.37 38,210

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

40 0.6 20.19 42,000

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

140 3.2 17.78 36,980

Prepress technicians and workers

60 1.2 20.52 42,690

Printing press operators

230 1.1 18.70 38,900

Print binding and finishing workers

60 0.9 17.10 35,570

Laundry and dry-cleaning workers

180 0.7 9.89 20,570

Pressers, textile, garment, and related materials

90 1.4 11.96 24,870

Sewing machine operators

320 1.8 11.39 23,700

Tailors, dressmakers, and custom sewers

(5) (5) 10.06 20,920

Textile cutting machine setters, operators, and tenders

40 2.1 12.17 25,300

Textile knitting and weaving machine setters, operators, and tenders

100 3.8 (5) (5)

Textile winding, twisting, and drawing out machine setters, operators, and tenders

30 0.9 14.06 29,240

Upholsterers

50 1.5 19.50 40,560

Cabinetmakers and bench carpenters

200 2.1 17.47 36,340

Sawing machine setters, operators, and tenders, wood

40 0.9 13.60 28,280

Woodworking machine setters, operators, and tenders, except sawing

50 0.7 16.65 34,640

Power plant operators

40 0.8 31.43 65,370

Stationary engineers and boiler operators

(5) (5) 21.20 44,090

Water and wastewater treatment plant and system operators

110 0.8 21.36 44,440

Gas plant operators

(5) (5) 25.30 52,630

Chemical equipment operators and tenders

120 1.6 16.65 34,640

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

30 0.6 16.70 34,750

Grinding and polishing workers, hand

40 0.9 12.71 26,440

Mixing and blending machine setters, operators, and tenders

190 1.3 15.02 31,250

Cutting and slicing machine setters, operators, and tenders

170 2.4 16.26 33,820

Inspectors, testers, sorters, samplers, and weighers

720 1.3 19.09 39,700

Jewelers and precious stone and metal workers

40 1.5 22.42 46,630

Dental laboratory technicians

60 1.2 16.04 33,360

Packaging and filling machine operators and tenders

580 1.3 12.63 26,270

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

120 1.1 18.14 37,730

Painters, transportation equipment

100 1.7 21.36 44,420

Photographic process workers and processing machine operators

110 1.8 10.73 22,310

Adhesive bonding machine operators and tenders

40 1.8 10.58 22,000

Molders, shapers, and casters, except metal and plastic

(5) (5) 14.29 29,730

Paper goods machine setters, operators, and tenders

90 0.8 15.43 32,080

Helpers--production workers

1,140 2.2 13.59 28,260

Production workers, all other

230 0.8 11.75 24,440

Footnotes:
(1) For a complete listing of all detailed occupations in the Reading MSA, see www.bls.gov/oes/current/oes_39740.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 3, 2013