2015 OCT Electronic and Computer Engineering Technology Program Trends

2015 OCT Electronic and Computer Engineering Technology Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Electronic & Computer Engineering Technology 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

17-2061

Computer Hardware Engineers

17-2072

Electronics Engineers, Except Computer

17-3012

Electrical and Electronics Drafters

17-3023

Electrical and Electronics Engineering Technicians

49-2022

Telecommunications Equipment Installers and Repairers, Except Line Installers

49-2095

Electrical and Electronics Repairers, Powerhouse, Substation, and Relay

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
Electronic & Computer Engineering Technology 2105 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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SOC

2016
Jobs

Description

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

11

12

1

9%

<10

Insf. Data

$41.62

Computer Hardware
Engineers
Electronics Engineers,
Except Computer
Electrical and
Electronics Drafters
Electrical and
Electronics
Engineering
Technicians

27

30

3

11%

<10

Insf. Data

$33.10

<10

<10

Insf.
Data

Insf.
Data

<10

Insf. Data

Insf.
Data

83

84

1

1%

<10

Insf. Data

$24.60

49-2022

Telecommunications
Equipment Installers
and Repairers, Except
Line Installers

239

258

19

8%

33

8

$21.90

49-2095

Electrical and
Electronics Repairers,
Powerhouse,
Substation, and Relay

10

10

0

0%

<10

Insf. Data

Insf.
Data

378

404

26

7%

53

13

$24.21

17-2061
17-2072
17-3012

17-3023

Occupation Summary for Electronic & Computer Engineering
Technology 2105 (AED)

369

6.8%

$24.21/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

42% below National average

Nation: 1.5%

Nation: $34.88/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

378

404

26

6.8%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

Computer Hardware
Engineers (17-2061)

11

12

1

9%

Electronics Engineers,
Except Computer (17-2072)

27

30

3

11%

Electrical and Electronics
Drafters (17-3012)

8

9

1

13%

Electrical and Electronics
Engineering Technicians
(17-3023)

83

84

1

1%

Telecommunications
Equipment Installers and
Repairers, Except Line
Installers (49-2022)

239

258

19

8%

Electrical and Electronics
Repairers, Powerhouse,
Substation, and Relay
(49-2095)

10

10

0

0%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$19.75/hr

$24.21/hr

$30.37/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Computer Hardware Engineers
(17-2061)

$33.20

$41.62

$56.23

Electronics Engineers, Except
Computer (17-2072)

$27.43

$33.10

$41.36

Electrical and Electronics Drafters
(17-3012)

$21.14

$24.17

$27.32

Electrical and Electronics
Engineering Technicians
(17-3023)

$20.40

$24.60

$28.65

Telecommunications Equipment
Installers and Repairers, Except
Line Installers (49-2022)

$17.62

$21.90

$28.46

Electrical and Electronics
Repairers, Powerhouse,
Substation, and Relay (49-2095)

$30.54

$35.44

$37.90

Occupation

EMSI Q2 2015 Data Set | www.economicmodeling.com

5

Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

378

404

26

6.9%

●

State

9,716

9,848

132

1.4%

●

Nation

630,213

639,450

9,237

1.5%

●

Western Technical College
District

378

404

26

6.9%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

244

Monroe County, WI

46

Trempealeau County, WI

30

Crawford County, WI

24

Vernon County, WI

24

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

327

88.5%

42

11.5%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

1

0.4%

●

19-24

24

6.5%

●

25-34

77

20.8%

●

35-44

82

22.3%

●

45-54

99

26.9%

●

55-64

76

20.5%

●

65+

9

2.5%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity

2015 Jobs 2015 Percent

●

White

353

95.6%

●

Asian

7

2.0%

●

Black or African American

4

1.1%

●

Hispanic or Latino

3

0.7%

●

American Indian or Alaska Native

1

0.3%

●

Two or More Races

1

0.2%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

4

37

15

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

47.0105

Industrial Electronics Technology/Technician

21

15.1201

Computer Engineering Technology/Technician

10

46.0302

Electrician

6

15.0303

Electrical, Electronic and Communications
Engineering Technology/Technician

0

EMSI Q2 2015 Data Set | www.economicmodeling.com

Completions (2014)

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Industries Employing Electronic & Computer Engineering Technology
2105 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Wired Telecommunications Carriers

91

24.5%

34.5%

Cable and Other Subscription Programming

39

10.5%

43.9%

Electrical Contractors and Other Wiring Installation Contractors

37

10.0%

8.2%

Federal Government, Civilian, Excluding Postal Service

27

7.4%

0.9%

Fossil Fuel Electric Power Generation

19

5.1%

3.1%

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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