Department of Labor Logo United States Department of Labor
Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

News Release Information

20-1020-CHI
Wednesday, June 03, 2020

Contacts Technical information: Media contact:
  • (312) 353-1138

Occupational Employment and Wages in Appleton — May 2019

Workers in the Appleton, WI Metropolitan Statistical Area had an average (mean) hourly wage of $22.82 in May 2019, about 11 percent below the nationwide average of $25.72, the U.S. Bureau of Labor Statistics reported today. Assistant Commissioner for Regional Operations Charlene Peiffer noted that, after testing for statistical significance, wages in the local area were higher than their respective national averages in 2 of the 22 major occupational groups. Fourteen groups had significantly lower wages than their respective national averages, including arts, design, entertainment, sports, and media; legal; and computer and mathematical.

When compared to the nationwide distribution, Appleton area employment was more highly concentrated in 5 of the 22 occupational groups, including production, construction and extraction, and sales and related. Conversely, twelve groups had employment shares significantly below their national representation, including management, protective service, and healthcare support. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Appleton, WI Metropolitan Statistical Area, and measures of statistical significance, May 2019
Major occupational groupPercent of total employmentMean hourly wage
United StatesAppletonUnited StatesAppletonPercent difference (1)

Total, all occupations

100.0100.0$25.72$22.82*-11

Management

5.53.7*58.8852.38*-11

Business and financial operations

5.64.7*37.5631.80*-15

Computer and mathematical

3.12.2*45.0836.75*-18

Architecture and engineering

1.82.2*42.6935.95*-16

Life, physical, and social science

0.90.4*37.2830.69*-18

Community and social service

1.51.1*24.2720.65*-15

Legal

0.80.4*52.7143.49*-17

Educational instruction and library

6.15.4*27.7524.99*-10

Arts, design, entertainment, sports, and media

1.41.0*29.7920.35*-32

Healthcare practitioners and technical

5.94.840.2138.83-3

Healthcare support

4.43.4*14.9115.041

Protective service

2.41.3*23.9820.20*-16

Food preparation and serving related

9.28.5*12.8211.76*-8

Building and grounds cleaning and maintenance

3.02.3*15.0315.080

Personal care and service

2.22.215.0313.96*-7

Sales and related

9.810.7*20.7020.34-2

Office and administrative support

13.313.319.7318.65*-5

Farming, fishing, and forestry

0.3(2)15.0718.04*20

Construction and extraction

4.25.5*25.2825.902

Installation, maintenance, and repair

3.94.6*24.1023.51-2

Production

6.213.8*19.3020.45*6

Transportation and material moving

8.58.518.2316.89*-7

Footnotes:
(1) A positive percent difference measures how much the mean wage in the Appleton, WI Metropolitan Statistical Area is above the national mean wage, while a negative difference reflects a lower wage.
(2) Estimate not released.
* The mean hourly wage or percent share of employment 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. Appleton had 16,960 jobs in production, accounting for 13.8 percent of local area employment, significantly higher than the 6.2-percent share nationally. The average hourly wage for this occupational group locally was $20.45, significantly above the national wage of $19.30.

Some of the larger detailed occupations within the production group included miscellaneous assemblers and fabricators (2,280), packaging and filling machine operators and tenders (1,920), and first-line supervisors of production and operating workers (1,110). Among the higher-paying jobs in this group were first-line supervisors of production and operating workers and extruding and drawing machine setters, operators, and tenders, metal and plastic, with mean hourly wages of $33.62 and $24.23, respectively. At the lower end of the wage scale were pressers, textile, garment, and related materials ($11.17) and laundry and dry-cleaning workers ($11.50). (Detailed data for the production occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_11540.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 Appleton area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, textile knitting and weaving machine setters, operators, and tenders were employed at 16.7 times the national rate in Appleton, and paper goods machine setters, operators, and tenders, at 9.4 times the U.S. average. Electrical, electronic, and electromechanical assemblers, except coil winders, tapers, and finishers had a location quotient of 1.4 in Appleton, 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 Wisconsin Department of Workforce Development.

Changes to the Occupational Employment Statistics (OES) Data

With the May 2019 estimates, the OES program has begun implementing the 2018 Standard Occupational Classification (SOC) system. Each set of OES estimates is calculated from six panels of survey data collected over three years. Because the May 2019 estimates are based on a combination of survey data collected using the 2010 SOC and survey data collected using the 2018 SOC, these estimates use a hybrid of the two classification systems that contains some combinations of occupations that are not found in either the 2010 or 2018 SOC. These combinations may include occupations from more than one 2018 SOC minor group or broad occupation. Therefore, OES will not publish data for some 2018 SOC minor groups and broad occupations in the May 2019 estimates. The May 2021 estimates, to be published in Spring 2022, will be the first OES estimates based entirely on survey data collected using the 2018 SOC.

In addition, the OES program has replaced some 2018 SOC detailed occupations with SOC broad occupations or OES-specific aggregations. These include home health aides and personal care aides, for which OES will publish only the 2018 SOC broad occupation 31-1120 Home Health and Personal Care Aides.

For more information on the occupational classification system used in the May 2019 OES estimates, please see www.bls.gov/oes/soc_2018.htm and www.bls.gov/oes/oes_ques.htm#qf10.

The May 2019 OES estimates use the metropolitan area definitions delineated in Office of Management and Budget (OMB) Bulletin 17-01, which add a new Metropolitan Statistical Area (MSA) for Twin Falls, Idaho. For more information on the area definitions used in the May 2019 estimates, please see www.bls.gov/oes/current/msa_def.htm.


Technical Note

The Occupational Employment Statistics (OES) survey is a semiannual survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. The OES data available from BLS include cross-industry occupational employment and wage estimates for the nation; over 580 areas, including states and the District of Columbia, metropolitan statistical areas (MSAs), nonmetropolitan areas, and territories; national industry-specific estimates at the NAICS sector, 3-digit, most 4-digit, and selected 5- and 6-digit industry levels, and national estimates by ownership across all industries and for schools and hospitals. OES data are available at www.bls.gov/oes/tables.htm.

The OES survey is a cooperative effort between BLS and the State Workforce Agencies (SWAs). BLS funds the survey and provides the procedures and technical support, while the State Workforce Agencies collect most of the data. OES estimates are constructed from a sample of about 1.1 million establishments. Each year, two semiannual panels of approximately 180,000 to 200,000 sampled establishments are contacted, one panel in May and the other in November. Responses are obtained by mail, Internet or other electronic means, email, telephone, or personal visit. The May 2019 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2019, November 2018, May 2018, November 2017, May 2017, and November 2016. The unweighted sample employment of 83 million across all six semiannual panels represents approximately 57 percent of total national employment. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 71 percent based on establishments and 68 percent based on weighted sampled employment. The sample in the Appleton, WI Metropolitan Statistical Area included 1,496 establishments with a response rate of 76 percent. For more information about OES concepts and methodology, go to www.bls.gov/oes/current/oes_tec.htm.

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.

The May 2019 OES estimates are the first set of OES estimates to be based in part on survey data collected using the 2018 SOC. These estimates use a hybrid of the 2010 and 2018 SOC systems. More information on the hybrid classification system is available at www.bls.gov/oes/soc_2018.htm.

The May 2019 OES estimates are based on the 2017 North American Industry Classification System (NAICS). More information about the 2017 NAICS is available at www.bls.gov/bls/naics.htm.

Metropolitan 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 Appleton, WI Metropolitan Statistical Area includes Calumet and Outagamie Counties.

For more information

Answers to frequently asked questions about the OES data are available at www.bls.gov/oes/oes_ques.htm. Detailed information about the OES program is available at www.bls.gov/oes/oes_doc.htm.

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 for production occupations, Appleton, WI Metropolitan Statistical Area, May 2019
Occupation (1)EmploymentMean wages
Level (2)Location quotient (3)HourlyAnnual (4)

Production occupations

16,9602.2$20.45$42,540

First-line supervisors of production and operating workers

1,1102.133.6269,930

Coil winders, tapers, and finishers

605.420.6843,010

Electrical, electronic, and electromechanical assemblers, except coil winders, tapers, and finishers

3301.415.8232,910

Engine and other machine assemblers

1403.717.1235,600

Structural metal fabricators and fitters

2203.520.7843,220

Miscellaneous assemblers and fabricators

2,2802.016.5834,500

Bakers

1400.914.7330,640

Butchers and meat cutters

(5)(5)18.6238,730

Meat, poultry, and fish cutters and trimmers

300.316.8535,050

Food and tobacco roasting, baking, and drying machine operators and tenders

1709.615.8933,040

Food batchmakers

5504.118.2037,850

Food cooking machine operators and tenders

502.118.0137,450

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

5408.424.2350,390

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

4102.520.7543,150

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

300.514.5130,170

Machinists

7802.420.4242,480

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

800.6(5)(5)

Tool and die makers

701.224.1350,190

Welders, cutters, solderers, and brazers

6802.023.8649,640

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

501.517.3436,060

Prepress technicians and workers

501.920.2942,210

Printing press operators

5003.420.3442,300

Print binding and finishing workers

(5)(5)17.3035,980

Laundry and dry-cleaning workers

1400.811.5023,920

Pressers, textile, garment, and related materials

501.611.1723,240

Sewing machine operators

2202.021.4844,670

Textile knitting and weaving machine setters, operators, and tenders

30016.724.1350,190

Cabinetmakers and bench carpenters

500.617.2735,930

Sawing machine setters, operators, and tenders, wood

902.214.4330,010

Woodworking machine setters, operators, and tenders, except sawing

1402.215.4432,110

Water and wastewater treatment plant and system operators

1101.123.2948,430

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

401.521.0043,690

Mixing and blending machine setters, operators, and tenders

4604.422.2446,250

Cutting and slicing machine setters, operators, and tenders

801.719.2940,120

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

(5)(5)16.3734,040

Inspectors, testers, sorters, samplers, and weighers

9001.922.9347,700

Packaging and filling machine operators and tenders

1,9205.919.8241,220

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

4803.918.2137,870

Computer numerically controlled tool operators

5304.123.3848,630

Molders, shapers, and casters, except metal and plastic

501.316.6134,560

Paper goods machine setters, operators, and tenders

7909.422.2546,280

Helpers--production workers

5202.018.0937,630

Production workers, all other

5202.813.0727,180

Footnotes:
(1) For a complete listing of all detailed occupations in the Appleton, WI Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_11540.htm.
(2) Estimates for detailed occupations may not sum to the totals due to rounding, and because the totals may include occupations that are 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: Wednesday, June 03, 2020