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
1
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
2
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
3
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
4
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
5
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
6
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
7
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)
8
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
9
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
10