2015 OCT Frontline Service Program Trends

2015 OCT Frontline Service Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Frontline Service
October 2015

Western Technical College

400 Seventh Street
La Crosse, Wisconsin 54601
608.785.9200

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Parameters
Occupations
Code

Description

41-2022

Parts Salespersons

41-9099

Sales and Related Workers, All Other

43-3071

Tellers

43-4051

Customer Service Representatives

43-4171

Receptionists and Information Clerks

Regions
Code

Description

55011

Buffalo County, WI

55023

Crawford County, WI

55053

Jackson County, WI

55057

Juneau County, WI

55063

La Crosse County, WI

55081

Monroe County, WI

55121

Trempealeau County, WI

55123

Vernon County, WI

Timeframe
2016 - 2020

Datarun
2015.2 – Employees
Frontline Service 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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41-2022
41-9099
43-3071
43-4051
43-4171

2016
Jobs

Description
Parts
Salespersons
Sales and Related
Workers, All Other
Tellers
Customer Service
Representatives
Receptionists and
Information Clerks

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

284

295

11

4%

40

10

$14.82

62

72

10

16%

16

4

$12.09

763

787

24

3%

177

44

$11.20

2,588

2,722

134

5%

425

106

$13.87

679

705

26

4%

104

26

$11.84

4,377

SOC

4,580

203

5%

762

191

$13.11

Occupation Summary for Frontline Service 2015 (AED)

4,314

4.6%

$13.11/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

5% below National average

Nation: 4.2%

Nation: $14.14/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

4,377

4,580

203

4.6%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

Receptionists and
Information Clerks (43-4171)

11

4%

72

10

16%

787

24

3%

2,588

Customer Service
Representatives (43-4051)

295

763

Tellers (43-3071)

% Change

62

Sales and Related Workers,
All Other (41-9099)

Change

284

Parts Salespersons
(41-2022)

2020 Jobs

2,722

134

5%

679

705

26

4%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$10.74/hr

$13.11/hr

$15.99/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Parts Salespersons (41-2022)

$11.04

$14.82

$18.28

Sales and Related Workers, All
Other (41-9099)

$9.35

$12.09

$16.82

Tellers (43-3071)

$9.81

$11.20

$13.39

$11.33

$13.87

$16.98

$9.59

$11.84

$14.23

Occupation

Customer Service
Representatives (43-4051)
Receptionists and Information
Clerks (43-4171)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

4,377

4,580

203

4.6%

●

State

96,976

100,943

3,967

4.1%

●

Nation

4,573,306

4,764,691

191,385

4.2%

●

Western Technical College
District

4,377

4,580

203

4.6%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

2,879

Monroe County, WI

394

Trempealeau County, WI

387

Crawford County, WI

236

Vernon County, WI

223

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender

2015 Jobs 2015 Percent

●

Males

1,160

26.9%

●

Females

3,154

73.1%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

105

2.4%

●

19-24

649

15.0%

●

25-34

1,098

25.5%

●

35-44

739

17.1%

●

45-54

842

19.5%

●

55-64

693

16.1%

●

65+

187

4.3%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity
●

White

●

2015 Jobs 2015 Percent
4,071

94.4%

Hispanic or Latino

81

1.9%

●

Black or African American

68

1.6%

●

Asian

60

1.4%

●

Two or More Races

22

0.5%

●

American Indian or Alaska Native

11

0.3%

●

Native Hawaiian or Other Pacific Islander

1

0.0%

Occupational Programs

4

0

213

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

52.9999

Business, Management, Marketing, and
Related Support Services, Other

0

52.1803

Retailing and Retail Operations

0

52.0408

General Office Occupations and Clerical
Services

0

51.0703

Health Unit Coordinator/Ward Clerk

0

EMSI Q2 2015 Data Set | www.economicmodeling.com

Completions (2014)

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Industries Employing Frontline Service 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Commercial Banking

589

13.7%

41.9%

Credit Unions

323

7.5%

39.6%

Telemarketing Bureaus and Other Contact Centers

305

7.1%

40.5%

Third Party Administration of Insurance and Pension Funds

239

5.5%

18.6%

Offices of Physicians (except Mental Health Specialists)

161

3.7%

7.4%

Industry

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Appendix A - Data Sources and
Calculations
Occupation Data
EMSI occupation employment data are based on final EMSI industry data and final EMSI staffing patterns. Wage
estimates are based on Occupational Employment Statistics (QCEW and Non-QCEW Employees classes of
worker) and the American Community Survey (Self-Employed and Extended Proprietors). Occupational wage
estimates also affected by county-level EMSI earnings by industry.

Location Quotient
Location quotient (LQ) is a way of quantifying how concentrated a particular industry, cluster, occupation, or
demographic group is in a region as compared to the nation. It can reveal what makes a particular region unique in
comparison to the national average.

Institution Data
The institution data in this report is taken directly from the national IPEDS database published by the U.S.
Department of Education's National Center for Education Statistics.

Completers Data
The completers data in this report is taken directly from the national IPEDS database published by the U.S.
Department of Education's National Center for Education Statistics.

Staffing Patterns Data
The staffing pattern data in this report are compiled from several sources using a specialized process. For QCEW
and Non-QCEW Employees classes of worker, sources include Occupational Employment Statistics, the National
Industry-Occupation Employment Matrix, and the American Community Survey. For the Self-Employed and
Extended Proprietors classes of worker, the primary source is the American Community Survey, with a small
amount of information from Occupational Employment Statistics.

Industry Data
EMSI industry data have various sources depending on the class of worker. (1) For QCEW Employees, EMSI
primarily uses the QCEW (Quarterly Census of Employment and Wages), with supplemental estimates from
County Business Patterns and Current Employment Statistics. (2) Non-QCEW employees data are based on a
number of sources including QCEW, Current Employment Statistics, County Business Patterns, BEA State and
Local Personal Income reports, the National Industry-Occupation Employment Matrix (NIOEM), the American
Community Survey, and Railroad Retirement Board statistics. (3) Self-Employed and Extended Proprietor classes
of worker data are primarily based on the American Community Survey, Nonemployer Statistics, and BEA State
and Local Personal Income Reports. Projections for QCEW and Non-QCEW Employees are informed by NIOEM
and long-term industry projections published by individual states.

State Data Sources
This report uses state data from the following agencies: Illinois Department of Employment Security, Employment
Projections; Iowa Workforce Development; Michigan Department of Labor and Economic Growth, Bureau of Labor
Market Information and Strategic Initiatives; Minnesota Department of Employment and Economic Development;
Wisconsin Department of Workforce Development, Bureau of Workforce Information

EMSI Q2 2015 Data Set | www.economicmodeling.com

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