2014-18 ECET-Program Trends

2014-18 ECET-Program Trends








Western Technical College

400 Seventh Street
La Crosse, Wisconsin 54601
608.785.9200

Electronic and Computer Engineering Technology Program
Occupation Report
Western Technical College District

Economic Modeling Specialists International | www.economicmodeling.com

1

Report Info
Dataset Version

2013.4 Class of Worker

Class of Worker Categories

QCEW Employees + Non-QCEW Employees + Self-Employed

Timeframe

2014 - 2018

Region Name

Western Technical College District

Region Description

Western district counties

Counties
Buffalo, WI (55011)

Crawford, WI (55023)

Jackson, WI (55053)

Juneau, WI (55057)

La Crosse, WI (55063)

Monroe, WI (55081)

Trempealeau, WI (55121)

Vernon, WI (55123)

Occupation Group
Computer Hardware Engineers (17-2061)
Electronics Engineers, Except Computer (17-2072)
Electrical and Electronics Drafters (17-3012)
Electrical and Electronics Engineering Technicians (17-3023)
Telecommunications Equipment Installers and Repairers, Except Line Installers (49-2022)
Electrical and Electronics Repairers, Powerhouse, Substation, and Relay (49-2095)

Job Distribution
Overview
Annual Openings Estimate (2013)

14

Related Completions (2011)

34

Current Job Postings

N/A for Multiple Codes

Gender
Male
Female

92%
8%

Age
14-18

0%

19-24

3%

25-44

43%

45-64

53%

65+

1%

Economic Modeling Specialists International | www.economicmodeling.com

2

308

6.0%

$28.34/hr

Jobs (2013)

% Change (2014-2018)

Median Earnings

National Location Quotient: 0.46

Nation: 2.1%

Nation: $33.57/hr

Western Technical College District | Growth

314

333

19

6.0%

2014 Jobs

2018 Jobs

Change (2014-2018)

% Change (2014-2018)

Occupation

2014 Jobs

2018 Jobs

Change

% Change

Computer Hardware
Engineers (17-2061)

10

12

2

20%

Electronics Engineers,
Except Computer (17-2072)

34

37

3

9%

Electrical and Electronics
Drafters (17-3012)

11

11

0

0%

Electrical and Electronics
Engineering Technicians
(17-3023)

70

69

-1

-1%

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

176

191

15

9%

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

13

12

-1

-8%

Economic Modeling Specialists International | www.economicmodeling.com

3

Western Technical College District | Percentile Earnings

$19.18/hr

$28.34/hr

$39.33/hr

10th Percentile Earnings

Median Earnings

90th Percentile Earnings

10th Percentile
Earnings

Median Earnings

90th Percentile
Earnings

Computer Hardware Engineers
(17-2061)

$28.31

$38.35

$50.93

Electronics Engineers, Except
Computer (17-2072)

$39.83

$58.82

$87.07

Electrical and Electronics Drafters
(17-3012)

$12.51

$16.39

$21.92

Electrical and Electronics
Engineering Technicians
(17-3023)

$19.01

$26.24

$34.40

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

$14.82

$22.96

$32.33

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

$22.77

$34.18

$40.73

Occupation

Economic Modeling Specialists International | www.economicmodeling.com

4

Regional Trends

Region

2014 Jobs

Nation

333

6.0%

9,048

2.6%

641,665

State

●

314

655,351

2.1%

Western Technical College District

●

% Change

8,822

●

2018 Jobs

Educational programs

4

34

Programs (2011)

Completions (2011)

Program

2008

2009

2010

2011

2012

Electrician
(46.0302)

0

2

7

19

5

Electrical,
Electronic and
Communications
Engineering
Technology/Techni
cian (15.0303)

1

2

1

8

0

Computer
Engineering
Technology/Techni
cian (15.1201)

1

3

5

7

6

Industrial
Electronics
Technology/Techni
cian (47.0105)

0

0

0

0

24

Economic Modeling Specialists International | www.economicmodeling.com

5

Region

2014 Jobs

2018 Jobs

% Change

Occupation
Group Jobs
in Industry
(2013)

% of
Occupation
Group in
Industry
(2013)

% of Total
Jobs in
Industry
(2013)

Wired Telecommunications Carriers (517110)

71

23.1%

28.3%

Electrical Contractors and Other Wiring Installation Contractors
(238210)

30

9.8%

5.7%

Cable and Other Subscription Programming (515210)

28

9.0%

31.3%

Fossil Fuel Electric Power Generation (221112)

20

6.6%

3.7%

Federal Government, Civilian, Excluding Postal Service (901199)

14

4.5%

0.5%

Inverse Staffing Patterns

Industry

Economic Modeling Specialists International | www.economicmodeling.com

6

Data Sources and Calculations

State Data Sources
This report uses state data from the following agencies: Wisconsin Department of Workforce Development,
Bureau of Workforce Information

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.

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.

Economic Modeling Specialists International | www.economicmodeling.com

7