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13-1110-PHI

Monday, June 3, 2013

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Occupational Employment and Wages in Scranton—Wilkes-Barre – May 2012

Workers in the Scranton—Wilkes-Barre Metropolitan Statistical Area had an average (mean) hourly wage of $18.49 in May 2012, roughly 16 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 15 of the 22 major occupational groups, including legal, management, and business and financial operations. (See table A and box note at end of release.)

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

Total, all occupations

100.0
100.0
$22.01
$18.49*
-16

Management

4.9
3.2*
52.20
42.18*
-19

Business and financial operations

4.9
3.4*
33.44
26.55*
-21

Computer and mathematical

2.7
1.4*
38.55
31.75*
-18

Architecture and engineering

1.8
1.1*
37.98
31.92*
-16

Life, physical, and social science

0.8
0.6*
32.87
28.99
-12

Community and social service

1.4
2.3*
21.27
18.09*
-15

Legal

0.8
0.5*
47.39
31.30*
-34

Education, training, and library

6.4
5.5*
24.62
24.90
1

Arts, design, entertainment, sports, and media

1.3
1.0*
26.20
18.67*
-29

Healthcare practitioners and technical

5.9
6.6*
35.35
30.25*
-14

Healthcare support

3.0
3.6*
13.36
12.95*
-3

Protective service

2.5
2.2*
20.70
18.70
-10

Food preparation and serving related

8.9
8.4
10.28
9.70*
-6

Building and grounds cleaning and maintenance

3.3
3.3
12.34
11.74
-5

Personal care and service

2.9
3.0
11.80
10.86*
-8

Sales and related

10.6
10.7
18.26
15.41*
-16

Office and administrative support

16.4
17.2*
16.54
15.13*
-9

Farming, fishing, and forestry

0.3
0.1*
11.65
14.90*
28

Construction and extraction

3.8
4.0
21.61
21.35
-1

Installation, maintenance, and repair

3.9
3.9
21.09
19.19*
-9

Production

6.6
8.4*
16.59
16.51
-0

Transportation and material moving

6.7
9.7*
16.15
15.44*
-4
* 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 Scranton—Wilkes-Barre is above the national mean wage, while a negative percent difference reflects a lower wage.

When compared to the nationwide distribution, Scranton employment was more highly concentrated in six occupational groups including transportation and material moving, production, and community and social service. Conversely, 10 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. Scranton had 21,200 jobs in production, accounting for 8.4 percent of local area employment, significantly above the 6.6-percent share nationally. The average hourly wage for this occupational group locally was $16.51, similar to the national wage of $16.59.

With employment of 2,580, team assemblers was the largest occupation within the production group, followed by production helpers (1,850) and packaging and filling machine operators and tenders (1,750). Among the higher-paying jobs were first-line supervisors of production and operating workers, with a mean hourly wage of $27.00, and machinists, with a wage of $18.77. At the lower end of the wage scale were laundry and dry cleaning workers ($9.59) and food batchmakers ($11.64). (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_42540.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 Scranton, above-average concentrations of employment were found in many of the occupations within the production group. For instance, packaging and filling machine operators and tenders were employed at two-and-a-half times the national rate in Scranton, and printing press operators at over twice the U.S. rate. In contrast, first-line supervisors of production and operating workers had a location quotient of 1.0 in Scranton, 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 Scranton—Wilkes-Barre 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 Scranton—Wilkes-Barre Metropolitan Statistical Area included 2,532 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 Scranton—Wilkes-Barre Metropolitan Statistical Area (MSA) includes Lackawanna, Luzerne, and Wyoming Counties 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, Scranton—Wilkes-Barre Metropolitan Statistical Area, May 2012
Occupation(1) Employment(2) Mean wage
Level Location quotient(3) Hourly Annual(4)

Production occupations

21,200 1.3 $16.51 $34,330

First-line supervisors of production and operating workers

1,090 1.0 27.00 56,160

Engine and other machine assemblers

(5) (5) 19.24 40,030

Structural metal fabricators and fitters

190 1.3 19.13 39,790

Team assemblers

2,580 1.3 12.87 26,770

Assemblers and fabricators, all other

(5) (5) 13.00 27,040

Bakers

550 1.8 12.06 25,080

Butchers and meat cutters

540 2.1 15.66 32,570

Meat, poultry, and fish cutters and trimmers

70 0.2 11.74 24,410

Slaughterers and meat packers

110 0.7 11.06 23,010

Food batchmakers

360 1.9 11.64 24,210

Food cooking machine operators and tenders

80 1.2 14.33 29,810

Computer-controlled machine tool operators, metal and plastic

390 1.4 15.88 33,020

Computer numerically controlled machine tool programmers, metal and plastic

(5) (5) 22.84 47,500

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

480 3.3 17.22 35,820

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

(5) (5) 16.60 34,520

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

160 2.4 17.13 35,620

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

420 1.2 15.41 32,050

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

50 1.3 13.74 28,570

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

90 0.7 14.44 30,040

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

(5) (5) 16.63 34,600

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

(5) (5) 15.47 32,180

Machinists

470 0.6 18.77 39,050

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

220 0.9 15.19 31,600

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

90 0.5 16.64 34,620

Tool and die makers

150 1.0 20.21 42,030

Welders, cutters, solderers, and brazers

540 0.8 17.18 35,740

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

30 0.3 14.53 30,220

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

(5) (5) 14.62 30,400

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

70 1.1 19.68 40,940

Metal workers and plastic workers, all other

(5) (5) 16.82 34,980

Prepress technicians and workers

160 2.0 17.85 37,130

Printing press operators

780 2.3 14.80 30,780

Print binding and finishing workers

(5) -8.0 15.43 32,100

Laundry and dry-cleaning workers

490 1.3 9.59 19,950

Pressers, textile, garment, and related materials

50 0.5 10.15 21,110

Sewing machine operators

200 0.7 13.48 28,030

Textile knitting and weaving machine setters, operators, and tenders

90 2.2 11.92 24,790

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

(5) (5) 12.30 25,590

Upholsterers

(5) (5) 14.79 30,760

Cabinetmakers and bench carpenters

50 0.3 17.40 36,180

Sawing machine setters, operators, and tenders, wood

(5) (5) 11.24 23,390

Woodworking machine setters, operators, and tenders, except sawing

70 0.6 17.41 36,220

Stationary engineers and boiler operators

60 0.8 19.61 40,790

Water and wastewater treatment plant and system operators

250 1.2 20.80 43,270

Plant and system operators, all other

40 1.6 20.06 41,720

Chemical equipment operators and tenders

110 1.0 14.38 29,910

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

50 0.9 16.95 35,250

Mixing and blending machine setters, operators, and tenders

170 0.8 15.23 31,680

Cutters and trimmers, hand

(5) (5) 12.35 25,690

Cutting and slicing machine setters, operators, and tenders

110 1.0 14.08 29,280

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

100 0.8 15.78 32,830

Inspectors, testers, sorters, samplers, and weighers

990 1.1 16.94 35,240

Jewelers and precious stone and metal workers

30 0.8 30.60 63,650

Dental laboratory technicians

100 1.5 17.61 36,630

Ophthalmic laboratory technicians

(5) (5) 13.22 27,500

Packaging and filling machine operators and tenders

1,750 2.5 14.86 30,910

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

100 0.7 13.84 28,790

Painters, transportation equipment

80 0.9 19.27 40,070

Photographic process workers and processing machine operators

60 0.7 11.97 24,890

Adhesive bonding machine operators and tenders

40 1.3 16.26 33,820

Etchers and engravers

(5) (5) 10.68 22,210

Molders, shapers, and casters, except metal and plastic

130 2.1 12.10 25,170

Helpers--production workers

1,850 2.3 12.55 26,110

Production workers, all other

(5) (5) 12.80 26,630
* 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 Scranton—Wilkes-Barre MSA, see www.bls.gov/oes/current/oes_42540.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