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News Release Information

16-559-CHI
Wednesday, June 22, 2016

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

Occupational Employment and Wages in Duluth — May 2015

Workers in the Duluth Metropolitan Statistical Area had an average (mean) hourly wage of $20.27 in May 2015, about 13 percent below the nationwide average of $23.23, according to the U.S. Bureau of Labor Statistics. Assistant Commissioner for Regional Operations Charlene Peiffer 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 management; legal; and computer and mathematical. Three areas had wages in the local area higher than their respective national averages.

When compared to the nationwide distribution, local employment was more highly concentrated in 6 of the 22 occupational groups, including personal care and service; healthcare practitioners and technical; and community and social service. Conversely, nine groups had employment shares significantly below their national representation, including production; business and financial operations; and computer and mathematical. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Duluth Metropolitan Statistical Area, and measures of statistical significance, May 2015
Major occupational groupPercent of total employmentMean hourly wage
United StatesDuluthUnited StatesDuluthPercent difference (1)

Total, all occupations

100.0%100.0%$23.23$20.27*-13

Management

5.04.5*55.3042.84*-23

Business and Financial Operations

5.13.5*35.4828.55*-20

Computer and Mathematical

2.91.5*41.4332.35*-22

Architecture and Engineering

1.81.739.8934.15*-14

Life, Physical, and Social Science

0.81.234.2428.59*-17

Community and Social Services

1.43.0*22.1919.62*-12

Legal

0.80.4*49.7437.90*-24

Education, Training, and Library

6.26.025.4824.54-4

Arts, Design, Entertainment, Sports, and Media

1.31.0*27.3918.33*-33

Healthcare Practitioner and Technical

5.87.7*37.4034.17*-9

Healthcare Support

2.94.2*14.1913.94-2

Protective Service

2.41.9*21.4519.92*-7

Food Preparation and Serving Related

9.110.1*10.9810.09*-8

Building and Grounds Cleaning and Maintenance

3.23.313.0212.06*-7

Personal Care and Service

3.15.6*12.3311.27*-9

Sales and Related

10.510.118.9013.94*-26

Office and Administrative Support

15.814.817.4716.32*-7

Farming, Fishing, and Forestry

0.30.1*12.6718.39*45

Construction and Extraction

4.04.222.8826.36*15

Installation, Maintenance, and Repair

3.94.6*22.1122.301

Production

6.64.5*17.4118.83*8

Transportation and Material Moving

6.96.1*16.9017.393

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

One occupational group—personal care and service—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Duluth had 7,060 jobs in personal care and service, accounting for 5.6 percent of local area employment, significantly higher than the 3.1-percent share nationally. The average hourly wage for this occupational group locally was $11.27, significantly below the national wage of $12.33.

Some of the larger detailed occupations within the personal care and service group included personal care aides (4,060); childcare workers (500); and hairdressers, hairstylists, and cosmetologists (490). Among the higher paying jobs were morticians, undertakers, and funeral directors; and first-line supervisors of personal service workers, with mean hourly wages of $28.05 and $15.99, respectively. At the lower end of the wage scale were amusement and recreation attendants ($9.20) and nonfarm animal caretakers ($9.70). (Detailed occupational data for personal care and service are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/2015/may/oes_20260.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 Duluth Metropolitan Statistical Area, above-average concentrations of employment were found in many of the occupations within the personal care and service group. For instance, personal care aides were employed at 3.3 times the national rate in Duluth, and first-line supervisors of personal service workers, at 1.7 times the U.S. average. On the other hand, childcare workers had a location quotient of 1.0 in Duluth, 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 Minnesota Department of Employment & Economic Development and the Wisconsin Department of Workforce Development.

Notes on Occupational Employment Statistics Data

With the issuance of data for May 2015, the OES program has incorporated redefined metropolitan area definitions as designated by the Office of Management and Budget. OES data are available for 394 metropolitan areas, 38 metropolitan divisions, and 167 OES-defined nonmetropolitan areas. A listing of the areas and their definitions can be found at www.bls.gov/oes/current/msa_def.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.


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. The OES program produces employment and wage estimates for over 800 occupations for all industries combined in the nation; the 50 states and the District of Columbia; 432 metropolitan areas and divisions; 167 nonmetropolitan areas; and Guam, Puerto Rico, and the U.S. Virgin Islands. National estimates are also available by industry for NAICS sectors, 3-, 4-, and selected 5- and 6-digit industries, and by ownership across all industries and for schools and hospitals. OES data are available at www.bls.gov/oes/tables.htm.

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. May 2015 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2015, November 2014, May 2014, November 2013, May 2013, and November 2012. The overall national response rate for the six panels is 73.5 percent based on establishments and 69.6 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 57.9 percent of total national employment. (Response rates are slightly lower for these estimates due to the federal shutdown in October 2013.) The sample in the Duluth Metropolitan Statistical Area included 1,837 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.

The May 2015 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2012 North American Industry Classification System (NAICS). Information about the 2010 SOC is available on the BLS website at www.bls.gov/soc and information about the 2012 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 Duluth, Minn.-Wis. Metropolitan Statistical Area includes Carlton and St. Louis Counties of Minnesota and Douglas County of Wisconsin.

Additional information

OES data are available on our regional web page at www.bls.gov/regions/midwest. 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/2015/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.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Duluth Metropolitan Statistical Area, May 2015
Occupation (1)EmploymentMean wages
Level (2)Location quotient (3)HourlyAnnual (4)

Personal Care and Service Occupations

7,0601.8$11.27$23,450

Gaming Supervisors

502.614.6530,470

First-Line Supervisors of Personal Service Workers

2701.715.9933,250

Nonfarm Animal Caretakers

1400.99.7020,170

Amusement and Recreation Attendants

2601.19.2019,140

Morticians, Undertakers, and Funeral Directors

(5)(5)28.0558,350

Hairdressers, Hairstylists, and Cosmetologists

4901.512.9826,990

Tour Guides and Escorts

1003.012.1125,190

Childcare Workers

5001.010.5121,860

Personal Care Aides

4,0603.310.4721,780

Fitness Trainers and Aerobics Instructors

1500.714.9731,140

Recreation Workers

4101.411.5223,970

Residential Advisors

2002.215.5432,320

Personal Care and Service Workers, All Other

1402.610.8022,460

Footnotes:
(1) For a complete listing of all detailed occupations in the Duluth Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_20260.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) Estimates not released.
 

 

Last Modified Date: Wednesday, June 22, 2016