2015 OCT Electromechanical Technology Program Trends

2015 OCT Electromechanical Technology Program Trends








Occupation Overview
EMSI Q3 2015 Data Set
December 2015

Electromechanical Technology

Western Technical College

400 Seventh Street
La Crosse, Wisconsin 54601
608.785.9200

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Parameters
Occupations
Code

Description

17-2112

Industrial Engineers

17-3024

Electro-Mechanical Technicians

49-2094

Electrical and Electronics Repairers, Commercial and Industrial Equipment

49-9041

Industrial Machinery Mechanics

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
2015.3 – Employees

Electromechanical Technologies 2015 (AED) in 8 Counties

EMSI Q3 2015 Data Set | www.economicmodeling.com

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17-2112

Industrial Engineers
Electro-Mechanical
Technicians
Electrical and
Electronics
Repairers,
Commercial and
Industrial Equipment
Industrial Machinery
Mechanics

49-2094

49-9041

2016 2020 %
Change

Openings

Annual
Openings

7
Insf.
Data

2%

47

12

Insf. Data

<10

Insf. Data

3

10%

<10

Insf. Data

$24.62

325

39

14%

76

19

$22.58

688

49

8%

129

32

$29.16

2020
Jobs

316

323

<10

<10

30

33

286
639

Description

17-3024

2016 2020
Change

2016
Jobs

SOC

EMSI Q3 2015 Data Set | www.economicmodeling.com

Median
Hourly
Earnings
$35.10
Insf.
Data

3

Occupation Summary for Electromechanical Technologies 2015 (AED)

624

7.7%

$29.16/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

5% below National average

Nation: 4.4%

Nation: $29.62/hr

Growth

639

688

49

7.7%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation
Industrial Engineers (172112)
Electro-Mechanical
Technicians (17-3024)
Electrical and Electronics
Repairers, Commercial and
Industrial Equipment (492094)
Industrial Machinery
Mechanics (49-9041)

2016 Jobs

2020 Jobs

Change

% Change

316

323

7

2%

7

7

0

0%

30

33

3

10%

286

325

39

14%

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$24.48/hr

$29.16/hr

$34.60/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Industrial Engineers (17-2112)

$28.78

$35.10

$42.92

Electro-Mechanical Technicians
(17-3024)

$19.52

$23.35

$28.82

Electrical and Electronics
Repairers, Commercial and
Industrial Equipment (49-2094)

$20.96

$24.62

$27.59

Industrial Machinery Mechanics
(49-9041)

$19.78

$22.58

$25.43

Occupation

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

639

688

49

7.7%

●

State

17,532

18,154

622

3.5%

●

Nation

663,544

692,816

29,272

4.4%

●

Western Technical College
District

639

688

49

7.7%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

228

Monroe County, WI

149

Trempealeau County, WI

83

Juneau County, WI

76

Crawford County, WI

66

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

550

88.1%

74

11.9%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

1

0.1%

●

19-24

27

4.3%

●

25-34

106

16.9%

●

35-44

129

20.6%

●

45-54

187

30.0%

●

55-64

154

24.7%

●

65+

21

3.4%

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity

2015 Jobs 2015 Percent

●

White

592

94.9%

●

Asian

17

2.7%

●

Hispanic or Latino

8

1.2%

●

Black or African American

4

0.6%

●

Two or More Races

2

0.3%

●

American Indian or Alaska Native

2

0.2%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

2

22

44

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

47.0105

Industrial Electronics Technology/Technician

47.0303

Industrial Mechanics and Maintenance
Technology

EMSI Q3 2015 Data Set | www.economicmodeling.com

Completions (2014)
21
1

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Industries Employing Electromechanical Technologies 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Nonupholstered Wood Household Furniture Manufacturing

32

5.1%

0.9%

Air-Conditioning and Warm Air Heating Equipment and
Commercial and Industrial Refrigeration Equipment
Manufacturing

30

4.8%

2.0%

Glass Product Manufacturing Made of Purchased Glass

26

4.2%

4.1%

Dry, Condensed, and Evaporated Dairy Product Manufacturing

24

3.8%

2.6%

All Other Miscellaneous Fabricated Metal Product
Manufacturing

23

3.7%

2.6%

Industry

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Appendix A - Data Sources and
Calculations
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.

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.

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.

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.

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.

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.

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 Q3 2015 Data Set | www.economicmodeling.com

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