2015 OCT Instructional Assistant Program Trends
2015 OCT Instructional Assistant Program Trends
Occupation Overview
EMSI Q2 2015 Data Set
Instructional Assistant Program
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
25-9011
Audio-Visual and Multimedia Collections Specialists
25-9041
Teacher Assistants
25-9099
Education, Training, and Library Workers, All Other
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
Instructional Assistant (2 years) 6/2013 (AED) in 8 Counties
EMSI Q2 2015 Data Set | www.economicmodeling.com
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2016
Jobs
25-9011
Audio-Visual and
Multimedia
Collections
Specialists
25-9041
Teacher Assistants
25-9099
Education, Training,
and Library Workers,
All Other
2016 2020
Change
2016 2020 %
Change
Openings
Annual
Openings
Median
Hourly
Earnings
<10
Insf.
Data
Insf. Data
<10
Insf. Data
Insf.
Data
1,401
1,424
23
2%
159
40
$11.91
18
20
2
11%
<10
Insf. Data
$15.79
1,429
Description
2020
Jobs
<10
SOC
1,453
24
2%
162
41
$11.99
Occupation Summary for Instructional Assistant (2 years) 6/2013 (AED)
1,419
1.7%
$11.99/hr
Jobs (2015)
% Change (2016-2020)
Median Hourly Earnings
2% above National average
Nation: 3.7%
Nation: $12.32/hr
Growth
1,429
1,453
24
1.7%
2016 Jobs
2020 Jobs
Change (2016-2020)
% Change (2016-2020)
Occupation
2016 Jobs
Audio-Visual and Multimedia
Collections Specialists
2020 Jobs
Change
% Change
10
10
0
0%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation
2016 Jobs
2020 Jobs
Change
% Change
1,401
1,424
23
2%
18
20
2
11%
(25-9011)
Teacher Assistants
(25-9041)
Education, Training, and
Library Workers, All Other
(25-9099)
Percentile Earnings
$9.61/hr
$11.99/hr
$13.59/hr
25th Percentile Earnings
Median Earnings
75th Percentile Earnings
25th Percentile
Earnings
Occupation
Audio-Visual and Multimedia
Collections Specialists (25-9011)
Teacher Assistants (25-9041)
Education, Training, and Library
Workers, All Other (25-9099)
Median Earnings
75th Percentile
Earnings
$11.89
$16.84
$21.19
$9.56
$11.91
$13.45
$11.75
$15.79
$20.22
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Regional Trends
Region
2016 Jobs
2020 Jobs
Change
% Change
●
Region
1,429
1,453
24
1.7%
●
State
23,713
24,005
292
1.2%
●
Nation
1,399,687
1,451,574
51,887
3.7%
●
Western Technical College
District
1,429
1,453
24
1.7%
Regional Breakdown
County
2020 Jobs
La Crosse County, WI
675
Monroe County, WI
163
Trempealeau County, WI
156
Vernon County, WI
143
Juneau County, WI
115
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation Gender Breakdown
Gender
●
Males
●
2015 Jobs 2015 Percent
Females
153
10.8%
1,266
89.2%
Occupation Age Breakdown
Age
2015 Jobs 2015 Percent
●
14-18
20
1.4%
●
19-24
115
8.1%
●
25-34
188
13.2%
●
35-44
314
22.1%
●
45-54
401
28.2%
●
55-64
297
20.9%
●
65+
84
5.9%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation Race/Ethnicity Breakdown
Race/Ethnicity
●
White
●
2015 Jobs 2015 Percent
1,276
89.9%
Black or African American
74
5.2%
●
Asian
27
1.9%
●
Hispanic or Latino
23
1.6%
●
American Indian or Alaska Native
10
0.7%
●
Two or More Races
9
0.6%
●
Native Hawaiian or Other Pacific Islander
0
0.0%
Occupational Programs
1
9
34
Programs (2014)
Completions (2014)
Openings (2014)
CIP Code
Program
13.1501
Completions (2014)
Teacher Assistant/Aide
9
Industries Employing Instructional Assistant (2 years) 6/2013 (AED)
Occupation
Group Jobs
in Industry
(2015)
% of
Occupation
Group in
Industry
(2015)
% of Total
Jobs in
Industry
(2015)
1,038
73.2%
13.3%
Child Day Care Services
77
5.4%
12.0%
Colleges, Universities, and Professional Schools (Local
Government)
76
5.4%
4.1%
Elementary and Secondary Schools
55
3.9%
11.1%
Religious Organizations
36
2.6%
2.2%
Industry
Elementary and Secondary Schools (Local Government)
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.
OCTState 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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