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12-1568-PHI

Tuesday, July 31, 2012

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Occupational Employment and Wages in Reading – May 2011

Workers in the Reading Metropolitan Statistical Area had an average (mean) hourly wage of $20.16 in May 2011, roughly 7 percent below the nationwide average of $21.74, 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 7 of the 22 major occupational groups, including legal; arts, design, entertainment, sports, and media; and life, physical, and social science. Three other groups had wages that were measurably higher than their respective national averages, including education, training, and library. (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 2011
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
$21.74
$20.16*
-7

Management

4.8
3.5*
51.64
52.18
1

Business and financial operations

4.8
3.3*
33.05
30.54*
-8

Computer and mathematical

2.7
1.2*
37.85
33.3*
-12

Architecture and engineering

1.8
1.7
37.08
32.23*
-13

Life, physical, and social science

0.8
0.4*
32.44
26.75*
-18

Community and social service

1.5
1.8*
21.07
21.28
1

Legal

0.8
0.5*
47.30
37.89*
-20

Education, training, and library

6.6
7.1
24.46
26.2*
7

Arts, design, entertainment, sports, and media

1.3
0.8*
25.89
19.51*
-25

Healthcare practitioners and technical

5.9
6.2
34.97
32.65*
-7

Healthcare support

3.1
3.4*
13.16
13.02
-1

Protective service

2.5
1.5*
20.54
18.67
-9

Food preparation and serving related

8.7
8.1*
10.30
10.42
1

Building and grounds cleaning and maintenance

3.3
2.8*
12.29
13.11*
7

Personal care and service

2.8
2.6
11.84
11.57
-2

Sales and related

10.6
10.4
18.04
17.58
-3

Office and administrative support

16.7
16.4
16.40
16.14
-2

Farming, fishing, and forestry

0.3
0.1*
11.68
13.63*
17

Construction and extraction

3.9
3.7
21.46
20.82
-3

Installation, maintenance, and repair

3.9
4.4*
20.86
20.52
-2

Production

6.5
11.6*
16.45
16.41
-0

Transportation and material moving

6.7
8.6*
15.96
15.87
-1

* 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 five occupational groups including production and transportation and material moving. Conversely, 10 groups had employment shares significantly below their national representation; these groups included business and financial operations, management, and protective service.

One occupational group—production—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Reading had 18,900 jobs in production, accounting for 11.6 percent of local area employment, significantly above the 6.5-percent share nationally. The average hourly wage for this occupational group locally was $16.41, similar to the national wage of $16.45.

With employment of 3,410, production worker helpers was the largest occupation within the production group, followed by team assemblers (1,510) and first-line supervisors of production and operating workers (1,160). Among the higher-paying jobs were first-line supervisors of production and operating workers, with a mean hourly wage of $27.02, and metal-refining furnace operators and tenders, with a wage of $20.05. At the lower end of the wage scale were sewing machine operators ($10.94) and production worker helpers ($11.06). (Detailed occupational data for production 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.) For example, a location quotient of 2.0 indicates that an occupation accounts for twice the share of employment in the area as it does nationally. In Reading, above-average concentrations of employment were found in many of the occupations within the production group. For instance, metal-refining furnace operators and tenders were employed at over 10 times the national rate in Reading, and metal and plastic molding, coremaking, and casting machine setters, operators, and tenders, at 3 times the U.S. rate. In contrast, machinists 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. The OES survey provides estimates of employment and hourly and annual wages for wage and salary workers in 22 major occupational groups and about 800 detailed occupations for the nation, states, metropolitan statistical areas, metropolitan divisions, and nonmetropolitan areas.

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 establishments in May and November of each year for a 3-year period. The nationwide response rate for the May 2011 survey was 77.3 percent based on establishments and 73.3 percent based on employment. May 2011 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2011, November 2010, May 2010, November 2009, May 2009, and November 2008. The sample in the Reading Metropolitan Statistical Area included 2,034 establishments with a response rate of 78 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.

The May 2011 OES estimates are based in part on data collected using the 2010 Standard Occupational Classification (SOC) system. Nearly all the occupations in this release are 2010 SOC occupations; however, some are not. The May 2012 OES data will reflect the full set of detailed occupations in the 2010 SOC. For a list of all occupations, including 2010 SOC occupations, and how data collected on two structures were combined, see the OES Frequently Asked Questions online at www.bls.gov/oes/oes_ques.htm#Ques41.

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 Metropolitan Statistical Area (MSA) includes Berks County in Pennsylvania.

Additional information
Information in this release will be made available to sensory impaired individuals upon request. Voice phone:  202-691-5200; TDD message referral phone number: 1-800-877-8339.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Reading Metropolitan Statistical Area, May 2010
Occupation(1) Employment(2) Mean wage
Level Location quotient(3) Hourly Annual(4)

Production occupations

18,900 1.8 $16.41 $34,130

First-line supervisors of production and operating workers

1,160 1.6 27.02 56,200

Electrical and electronic equipment assemblers

140 0.6 15.93 33,140

Electromechanical equipment assemblers

130 2.0 13.99 29,100

Structural metal fabricators and fitters

60 0.7 18.25 37,970

Team assemblers

1,510 1.2 13.85 28,800

Assemblers and fabricators, all other

60 0.2 12.16 25,290

Bakers

330 1.7 13.25 27,570

Butchers and meat cutters

110 0.7 16.30 33,900

Meat, poultry, and fish cutters and trimmers

50 0.2 13.38 27,840

Food batchmakers

260 2.0 13.62 28,330

Food cooking machine operators and tenders

50 1.1 15.00 31,200

Computer-controlled machine tool operators, metal and plastic

280 1.7 19.71 41,000

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

(5) (5) 19.69 40,950

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

40 1.3 16.17 33,640

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

70 1.7 21.04 43,770

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

380 1.6 17.58 36,570

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

40 1.4 15.31 31,840

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

330 3.6 18.30 38,070

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

90 3.1 20.53 42,710

Machinists

530 1.1 19.27 40,070

Metal-refining furnace operators and tenders

240 10.4 20.05 41,710

Pourers and casters, metal

60 4.2 18.81 39,120

Foundry mold and coremakers

(5) (5) 19.07 39,670

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

460 3.0 15.39 32,010

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

260 2.7 15.97 33,210

Tool and die makers

110 1.2 22.35 46,480

Welders, cutters, solderers, and brazers

510 1.3 18.09 37,630

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

30 0.6 20.54 42,720

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

100 3.8 19.50 40,550

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

110 2.7 17.59 36,580

Prepress technicians and workers

60 1.2 20.00 41,590

Printing press operators

240 1.1 18.26 37,990

Print binding and finishing workers

70 1.0 17.33 36,040

Laundry and dry-cleaning workers

230 0.9 9.56 19,880

Pressers, textile, garment, and related materials

70 1.1 12.30 25,570

Sewing machine operators

510 2.8 10.94 22,750

Textile cutting machine setters, operators, and tenders

40 2.1 11.73 24,390

Textile knitting and weaving machine setters, operators, and tenders

130 4.8 16.67 34,680

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

50 1.3 (5) (5)

Upholsterers

30 0.8 19.13 39,790

Cabinetmakers and bench carpenters

210 2.0 17.96 37,350

Furniture finishers

40 2.0 18.64 38,780

Woodworking machine setters, operators, and tenders, except sawing

70 0.9 17.94 37,310

Power plant operators

40 0.8 31.35 65,200

Stationary engineers and boiler operators

30 0.8 19.68 40,930

Water and wastewater treatment plant and system operators

160 1.2 22.83 47,480

Chemical equipment operators and tenders

70 1.1 15.51 32,250

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

(5) (5) 14.91 31,020

Grinding and polishing workers, hand

(5) (5) 14.44 30,040

Mixing and blending machine setters, operators, and tenders

150 1.0 16.76 34,860

Cutting and slicing machine setters, operators, and tenders

150 1.9 17.74 36,890

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

120 1.5 20.80 43,260

Inspectors, testers, sorters, samplers, and weighers

720 1.3 18.18 37,820

Dental laboratory technicians

90 1.8 15.53 32,300

Ophthalmic laboratory technicians

(5) (5) 14.91 31,000

Packaging and filling machine operators and tenders

700 1.6 13.68 28,450

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

170 1.8 16.72 34,770

Painters, transportation equipment

80 1.3 20.74 43,150

Photographic process workers and processing machine operators

100 1.6 9.73 20,240

Molders, shapers, and casters, except metal and plastic

50 1.4 13.28 27,630

Paper goods machine setters, operators, and tenders

70 0.6 18.03 37,490

Helpers--production workers

3,410 6.4 11.06 23,000

Production workers, all other*

(5) (5) 11.82 24,580

*This occupation has the same title, but not necessarily the same content, as the 2010 SOC occupation.

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: July 31, 2012