2015 OCT Automotive Technician Program Trends

2015 OCT Automotive Technician Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Automotive Technician Program
October 2015

Western Technical College

400 Seventh Street
La Crosse, Wisconsin 54601
608.785.9200

EMSI Q2 2015 Data Set | www.economicmodeling.com

1

Parameters
Occupations
Code

Description

49-2093

Electrical and Electronics Installers and Repairers, Transportation Equipment

49-2096

Electronic Equipment Installers and Repairers, Motor Vehicles

49-3023

Automotive Service Technicians and 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
2015.2 – Employees
Automotive Technician 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

2

2016
Jobs

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

49-2093

Electrical and
Electronics Installers
and Repairers,
Transportation
Equipment

18

19

1

6%

<10

Insf. Data

$23.91

49-2096

Electronic Equipment
Installers and
Repairers, Motor
Vehicles

<10

<10

Insf.
Data

Insf.
Data

<10

Insf. Data

Insf.
Data

49-3023

Automotive Service
Technicians and
Mechanics

839

885

46

5%

134

34

$14.23

864

911

47

5%

138

35

$14.43

SOC

Description

Occupation Summary for Automotive Technician 2015 (AED)

848

5.5%

$14.43/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

24% above National average

Nation: 3.1%

Nation: $17.99/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

3

Growth

864

911

47

5.5%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

Electrical and Electronics
Installers and Repairers,
Transportation Equipment
(49-2093)

18

19

1

6%

Electronic Equipment
Installers and Repairers,
Motor Vehicles (49-2096)

7

7

0

0%

839

885

46

5%

Automotive Service
Technicians and Mechanics
(49-3023)

EMSI Q2 2015 Data Set | www.economicmodeling.com

4

Percentile Earnings

$10.87/hr

$14.43/hr

$17.96/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Electrical and Electronics
Installers and Repairers,
Transportation Equipment
(49-2093)

$19.62

$23.91

$27.89

Electronic Equipment Installers
and Repairers, Motor Vehicles
(49-2096)

$12.77

$14.57

$17.37

Automotive Service Technicians
and Mechanics (49-3023)

$10.67

$14.23

$17.76

Occupation

EMSI Q2 2015 Data Set | www.economicmodeling.com

5

Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

864

911

47

5.4%

●

State

13,298

13,866

568

4.3%

●

Nation

685,381

706,372

20,991

3.1%

●

Western Technical College
District

864

911

47

5.4%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

440

Monroe County, WI

144

Trempealeau County, WI

83

Vernon County, WI

71

Juneau County, WI

64

EMSI Q2 2015 Data Set | www.economicmodeling.com

6

Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

836

98.6%

12

1.4%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

11

1.3%

●

19-24

101

11.9%

●

25-34

206

24.3%

●

35-44

195

23.0%

●

45-54

194

22.9%

●

55-64

107

12.6%

●

65+

33

3.9%

EMSI Q2 2015 Data Set | www.economicmodeling.com

7

Occupation Race/Ethnicity Breakdown

Race/Ethnicity

2015 Jobs 2015 Percent

●

White

●

Hispanic or Latino

●

814

96.0%

12

1.4%

Black or African American

8

1.0%

●

Asian

8

1.0%

●

American Indian or Alaska Native

3

0.3%

●

Two or More Races

3

0.3%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

1

22

44

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

47.0604

Completions (2014)

Automobile/Automotive Mechanics
Technology/Technician

22

Industries Employing Automotive Technician 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

New Car Dealers

257

30.3%

21.2%

General Automotive Repair

249

29.4%

55.3%

Gasoline Stations with Convenience Stores

60

7.0%

2.7%

Automotive Parts and Accessories Stores

58

6.8%

17.5%

Local Government, Excluding Education and Hospitals

35

4.1%

0.4%

Industry

EMSI Q2 2015 Data Set | www.economicmodeling.com

8

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

9