2015 OCT IT-Computer Support Technician Program Trends
2015 OCT IT-Computer Support Technician Program Trends
Occupation Overview
EMSI Q2 2015 Data Set
IT-Computer Support Technician Program
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
15-1151
Computer User Support Specialists
43-9011
Computer Operators
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
2 Occupations in 8 Counties
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Description
15-1151
43-9011
Computer User
Support
Specialists
Computer
Operators
2016
Jobs
2020
Jobs
2016 2020
Change
2016 2020 %
Change
Openings
Annual
Openings
Median
Hourly
Earnings
364
384
20
5%
44
11
$18.59
50
49
(1)
(2%)
<10
Insf. Data
$19.91
414
SOC
433
19
5%
46
12
$18.76
Occupation Summary for 2 Occupations
408
4.6%
$18.76/hr
Jobs (2015)
% Change (2016-2020)
Median Hourly Earnings
42% below National average
Nation: 6.3%
Nation: $22.54/hr
Growth
414
433
19
4.6%
2016 Jobs
2020 Jobs
Change (2016-2020)
% Change (2016-2020)
Occupation
Computer User Support
Specialists (15-1151)
Computer Operators
(43-9011)
2016 Jobs
2020 Jobs
Change
% Change
364
384
20
5%
50
49
-1
-2%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Percentile Earnings
$15.00/hr
$18.76/hr
$23.20/hr
25th Percentile Earnings
Median Earnings
75th Percentile Earnings
25th Percentile
Earnings
Median Earnings
75th Percentile
Earnings
Computer User Support
Specialists (15-1151)
$14.94
$18.59
$23.07
Computer Operators (43-9011)
$15.42
$19.91
$24.12
Occupation
Regional Trends
Region
2016 Jobs
2020 Jobs
Change
% Change
●
Region
414
433
19
4.6%
●
State
12,739
13,585
846
6.6%
●
Nation
717,533
762,658
45,125
6.3%
●
Western Technical College
District
414
433
19
4.6%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Regional Breakdown
County
2020 Jobs
La Crosse County, WI
288
Trempealeau County, WI
60
Monroe County, WI
23
Juneau County, WI
17
Vernon County, WI
15
Occupation Gender Breakdown
Gender
2015 Jobs 2015 Percent
●
Males
278
68.2%
●
Females
130
31.8%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation Age Breakdown
Age
2015 Jobs 2015 Percent
●
14-18
2
0.5%
●
19-24
46
11.4%
●
25-34
108
26.4%
●
35-44
97
23.9%
●
45-54
89
21.8%
●
55-64
58
14.1%
●
65+
7
1.8%
Occupation Race/Ethnicity Breakdown
Race/Ethnicity
2015 Jobs 2015 Percent
●
White
374
91.7%
●
Asian
16
4.0%
●
Black or African American
8
2.0%
●
Hispanic or Latino
5
1.3%
●
Two or More Races
2
0.5%
●
American Indian or Alaska Native
2
0.4%
●
Native Hawaiian or Other Pacific Islander
0
0.0%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupational Programs
7
48
13
Programs (2014)
Completions (2014)
Openings (2014)
CIP Code
Program
Completions (2014)
11.0901
Computer Systems Networking and
Telecommunications
25
11.1006
Computer Support Specialist
14
11.0201
Computer Programming/Programmer, General
6
11.1001
Network and System
Administration/Administrator
3
11.0501
Computer Systems Analysis/Analyst
0
Industries Employing 2 Occupations
Occupation
Group Jobs
in Industry
(2015)
% of
Occupation
Group in
Industry
(2015)
% of Total
Jobs in
Industry
(2015)
Colleges, Universities, and Professional Schools (Local
Government)
40
9.9%
2.2%
Corporate, Subsidiary, and Regional Managing Offices
32
7.9%
1.5%
Nonupholstered Wood Household Furniture Manufacturing
24
5.9%
0.6%
Local Government, Excluding Education and Hospitals
18
4.3%
0.2%
Software Publishers
17
4.1%
8.4%
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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