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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