2015 OCT Diesel and Heavy Equipment Program Trends
2015 OCT Diesel and Heavy Equipment Program Trends
Occupation Overview
EMSI Q2 2015 Data Set
Diesel and Heavy Equipment 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
49-3031
Bus and Truck Mechanics and Diesel Engine Specialists
49-3041
Farm Equipment Mechanics and Service Technicians
49-3042
Mobile Heavy Equipment Mechanics, Except Engines
49-3043
Rail Car Repairers
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
Diesel and Heavy Equipment 2015 (AED) in 8 Counties
EMSI Q2 2015 Data Set | www.economicmodeling.com
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SOC
49-3031
49-3041
49-3042
49-3043
2016
Jobs
Description
Bus and Truck
Mechanics and
Diesel Engine
Specialists
Farm Equipment
Mechanics and
Service
Technicians
Mobile Heavy
Equipment
Mechanics, Except
Engines
Rail Car Repairers
2020
Jobs
2016 2020
Change
2016 2020 %
Change
Openings
Annual
Openings
Median
Hourly
Earnings
518
529
11
2%
71
18
$17.99
150
158
8
5%
29
7
$18.23
220
229
9
4%
36
9
$22.71
34
921
37
953
3
32
9%
3%
<10
143
Insf. Data
36
$23.66
$19.32
Occupation Summary for Diesel and Heavy Equipment 2015 (AED)
912
3.4%
$19.32/hr
Jobs (2015)
% Change (2016-2020)
Median Hourly Earnings
106% above National average
Nation: 3.5%
Nation: $21.47/hr
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Growth
921
953
32
3.4%
2016 Jobs
2020 Jobs
Change (2016-2020)
% Change (2016-2020)
Occupation
2016 Jobs
2020 Jobs
Change
% Change
Bus and Truck Mechanics
and Diesel Engine
Specialists (49-3031)
518
529
11
2%
Farm Equipment Mechanics
and Service Technicians
(49-3041)
150
158
8
5%
Mobile Heavy Equipment
Mechanics, Except Engines
(49-3042)
220
229
9
4%
Rail Car Repairers (49-3043)
34
37
3
9%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Percentile Earnings
$16.47/hr
$19.32/hr
$22.84/hr
25th Percentile Earnings
Median Earnings
75th Percentile Earnings
25th Percentile
Earnings
Median Earnings
75th Percentile
Earnings
Bus and Truck Mechanics and
Diesel Engine Specialists
(49-3031)
$15.15
$17.99
$21.49
Farm Equipment Mechanics and
Service Technicians (49-3041)
$15.21
$18.23
$22.31
Mobile Heavy Equipment
Mechanics, Except Engines
(49-3042)
$20.16
$22.71
$25.97
Rail Car Repairers (49-3043)
$19.35
$23.66
$26.56
Occupation
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Regional Trends
Region
2016 Jobs
2020 Jobs
Change
% Change
●
Region
921
953
32
3.5%
●
State
10,583
10,918
335
3.2%
●
Nation
444,516
459,979
15,463
3.5%
●
Western Technical College
District
921
953
32
3.5%
Regional Breakdown
County
2020 Jobs
La Crosse County, WI
342
Monroe County, WI
195
Jackson County, WI
126
Trempealeau County, WI
105
Vernon County, WI
65
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation Gender Breakdown
Gender
●
Males
●
2015 Jobs 2015 Percent
Females
901
98.8%
11
1.2%
Occupation Age Breakdown
Age
2015 Jobs 2015 Percent
●
14-18
4
0.5%
●
19-24
68
7.4%
●
25-34
163
17.9%
●
35-44
197
21.6%
●
45-54
264
29.0%
●
55-64
183
20.0%
●
65+
32
3.6%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation Race/Ethnicity Breakdown
Race/Ethnicity
●
White
●
2015 Jobs 2015 Percent
881
96.6%
Black or African American
11
1.2%
●
Hispanic or Latino
10
1.1%
●
American Indian or Alaska Native
4
0.4%
●
Asian
3
0.3%
●
Two or More Races
3
0.3%
●
Native Hawaiian or Other Pacific Islander
0
0.0%
Occupational Programs
2
22
45
Programs (2014)
Completions (2014)
Openings (2014)
CIP Code
Program
Completions (2014)
47.0302
Heavy Equipment Maintenance
Technology/Technician
47.0605
Diesel Mechanics Technology/Technician
22
0
Industries Employing Diesel and Heavy Equipment 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)
% of
Occupation
Group in
Industry
(2015)
% of Total
Jobs in
Industry
(2015)
Farm and Garden Machinery and Equipment Merchant
Wholesalers
143
15.7%
28.9%
General Freight Trucking, Long-Distance, Truckload
122
13.4%
5.1%
Local Government, Excluding Education and Hospitals
79
8.7%
1.0%
Rail transportation
37
4.0%
6.6%
Industrial Machinery and Equipment Merchant Wholesalers
33
3.7%
12.2%
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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