2015 OCT Wood Tech Program Trends

2015 OCT Wood Tech Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Wood Tech 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

47-2031

Carpenters

47-2061

Construction Laborers

47-2141

Painters, Construction and Maintenance

47-2181

Roofers

47-4099

Construction and Related Workers, All Other

51-7011

Cabinetmakers and Bench Carpenters

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
Wood Tech 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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47-2061
47-2141
47-2181
47-4099

51-7011

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

799

15

2%

66

17

$18.30

836

885

49

6%

133

33

$16.08

74

74

0

0%

<10

Insf. Data

$15.42

189

213

24

13%

43

11

$18.84

20

21

1

5%

<10

Insf. Data

$16.21

242

Carpenters
Construction
Laborers
Painters,
Construction and
Maintenance
Roofers
Construction and
Related Workers,
All Other
Cabinetmakers
and Bench
Carpenters

2020
Jobs

784

Description

47-2031

2016
Jobs

239

(3)

(1%)

10

3

$15.40

2,145

SOC

2,232

87

4%

262

66

$17.05

Occupation Summary for Wood Tech 2015 (AED)

2,133

4.1%

$17.05/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

3% above National average

Nation: 4.1%

Nation: $16.90/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

2,145

2,232

87

4.1%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

Carpenters (47-2031)

784

799

15

2%

Construction Laborers
(47-2061)

836

885

49

6%

74

74

0

0%

189

213

24

13%

20

21

1

5%

242

239

-3

-1%

Painters, Construction and
Maintenance (47-2141)
Roofers (47-2181)
Construction and Related
Workers, All Other (47-4099)
Cabinetmakers and Bench
Carpenters (51-7011)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$14.05/hr

$17.05/hr

$22.00/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Carpenters (47-2031)

$15.06

$18.30

$23.90

Construction Laborers (47-2061)

$13.18

$16.08

$21.29

Painters, Construction and
Maintenance (47-2141)

$11.92

$15.42

$19.43

Roofers (47-2181)

$15.60

$18.84

$22.96

Construction and Related
Workers, All Other (47-4099)

$13.27

$16.21

$19.94

Cabinetmakers and Bench
Carpenters (51-7011)

$13.15

$15.40

$18.36

Occupation

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

2,145

2,232

87

4.1%

●

State

36,547

37,743

1,196

3.3%

●

Nation

2,058,263

2,142,269

84,006

4.1%

●

Western Technical College
District

2,145

2,232

87

4.1%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

907

Trempealeau County, WI

403

Monroe County, WI

281

Jackson County, WI

257

Crawford County, WI

134

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

2,076

97.3%

58

2.7%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

35

1.6%

●

19-24

270

12.6%

●

25-34

667

31.2%

●

35-44

484

22.7%

●

45-54

447

20.9%

●

55-64

201

9.4%

●

65+

31

1.4%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity
●

White

●

2015 Jobs 2015 Percent
1,983

93.0%

Hispanic or Latino

92

4.3%

●

Asian

21

1.0%

●

Black or African American

16

0.8%

●

American Indian or Alaska Native

14

0.6%

●

Two or More Races

7

0.3%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

1

11

188

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

46.0201

Completions (2014)

Carpentry/Carpenter

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Industries Employing Wood Tech 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Commercial and Institutional Building Construction

227

10.6%

36.9%

Nonupholstered Wood Household Furniture Manufacturing

206

9.7%

5.3%

Highway, Street, and Bridge Construction

205

9.6%

30.0%

Roofing Contractors

187

8.8%

63.2%

New Single-Family Housing Construction (except For-Sale
Builders)

163

7.6%

55.1%

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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