2014-18 Electromechanical Technology-Program Trends

2014-18 Electromechanical Technology-Program Trends








Western Technical College

400 Seventh Street
La Crosse, Wisconsin 54601
608.785.9200

Electromechanical 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
Electro-Mechanical Technicians (17-3024)
Mechanical Engineering Technicians (17-3027)
Electric Motor, Power Tool, and Related Repairers (49-2092)
Electrical and Electronics Repairers, Commercial and Industrial Equipment (49-2094)
Industrial Machinery Mechanics (49-9041)
Electrical and Electronic Equipment Assemblers (51-2022)
Electromechanical Equipment Assemblers (51-2023)

Job Distribution
Overview
Annual Openings Estimate (2013)

30

Related Completions (2011)

30

Current Job Postings

N/A for Multiple Codes

Gender
Male

78%

Female

22%

Age
14-18

0%

19-24

4%

25-44

34%

45-64

59%

65+

2%
Economic Modeling Specialists International | www.economicmodeling.com

2

799

2.3%

$17.57/hr

Jobs (2013)

% Change (2014-2018)

Median Earnings

National Location Quotient: 1.07

Nation: 3.1%

Nation: $19.89/hr

Western Technical College District | Growth

803

821

18

2.3%

2014 Jobs

2018 Jobs

Change (2014-2018)

% Change (2014-2018)

Occupation

2014 Jobs

2018 Jobs

Change

% Change

Industrial Machinery
Mechanics (49-9041)

407

436

29

7%

Electromechanical
Equipment Assemblers
(51-2023)

132

125

-7

-5%

Mechanical Engineering
Technicians (17-3027)

34

32

-2

-6%

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

39

41

2

5%

Electro-Mechanical
Technicians (17-3024)

15

14

-1

-7%

Electric Motor, Power Tool,
and Related Repairers
(49-2092)

14

14

0

0%

163

159

-4

-2%

Electrical and Electronic
Equipment Assemblers
(51-2022)

Economic Modeling Specialists International | www.economicmodeling.com

3

Occupation

2014 Jobs

2018 Jobs

Change

% Change

Western Technical College District | Percentile Earnings

$13.04/hr

$17.57/hr

$24.90/hr

10th Percentile Earnings

Median Earnings

90th Percentile Earnings

10th Percentile
Earnings

Median Earnings

90th Percentile
Earnings

Industrial Machinery Mechanics
(49-9041)

$14.97

$20.25

$28.18

Electromechanical Equipment
Assemblers (51-2023)

$11.50

$15.65

$19.47

Mechanical Engineering
Technicians (17-3027)

$15.54

$22.50

$32.76

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

$17.94

$21.60

$46.75

Electro-Mechanical Technicians
(17-3024)

$15.39

$20.68

$27.69

Electric Motor, Power Tool, and
Related Repairers (49-2092)

$8.07

$10.88

$14.80

Electrical and Electronic
Equipment Assemblers (51-2022)

$8.22

$11.08

$15.28

Occupation

Economic Modeling Specialists International | www.economicmodeling.com

4

Regional Trends

Region

2014 Jobs

2018 Jobs

% Change

803

821

2.3%

●

Western Technical College District

●

State

21,476

21,525

0.2%

●

Nation

724,026

746,159

3.1%

Educational programs

5

30

Programs (2011)

Completions (2011)

Program

2008

2009

2010

2011

2012

Electrical/Electronic
s Equipment
Installation and
Repair, General
(47.0101)

0

20

21

20

0

Electromechanical
Technology/Electro
mechanical
Engineering
Technology
(15.0403)

2

7

9

10

9

12

9

0

0

1

Economic Modeling Specialists International | www.economicmodeling.com

5

Industrial
Mechanics and
Maintenance
Technology
(47.0303)

Program

2008

2009

2010

2011

2012

Industrial
Electronics
Technology/Techni
cian (47.0105)

0

0

0

0

24

Mechanical
Engineering/Mecha
nical
Technology/Techni
cian (15.0805)

0

0

0

0

0

Inverse Staffing Patterns
Occupation
Group Jobs
in Industry
(2013)

% of
Occupation
Group in
Industry
(2013)

% of Total
Jobs in
Industry
(2013)

141

17.6%

7.2%

Motor and Generator Manufacturing (335312)

57

7.1%

21.6%

All Other Miscellaneous General Purpose Machinery
Manufacturing (333999)

41

5.1%

5.6%

Commercial and Industrial Machinery and Equipment (except
Automotive and Electronic) Repair and Maintenance (811310)

32

4.0%

14.6%

Farm Machinery and Equipment Manufacturing (333111)

30

3.7%

4.5%

Industry

Air-Conditioning and Warm Air Heating Equipment and
Commercial and Industrial Refrigeration Equipment
Manufacturing (333415)

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