2015 OCT Welding Program Trends

2015 OCT Welding Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Welding 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

51-4121

Welders, Cutters, Solderers, and Brazers

51-4122

Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders

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
Welding 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Description

51-4121

51-4122

Welders,
Cutters,
Solderers, and
Brazers
Welding,
Soldering, and
Brazing Machine
Setters,
Operators, and
Tenders

2016
Jobs

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

1,076

1,099

23

2%

144

36

$18.73

101

114

13

13%

24

6

$18.13

1,177

SOC

1,213

36

3%

167

42

$18.69

Occupation Summary for Welding 2015 (AED)

1,166

3.1%

$18.69/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

161% above National average

Nation: 2.7%

Nation: $17.85/hr

Growth

1,177

1,213

36

3.1%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation
Welders, Cutters, Solderers,
and Brazers (51-4121)
Welding, Soldering, and
Brazing Machine Setters,
Operators, and Tenders
(51-4122)

2016 Jobs

2020 Jobs

Change

% Change

1,076

1,099

23

2%

101

114

13

13%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$16.02/hr

$18.69/hr

$21.64/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Welders, Cutters, Solderers, and
Brazers (51-4121)

$16.11

$18.73

$21.68

Welding, Soldering, and Brazing
Machine Setters, Operators, and
Tenders (51-4122)

$15.01

$18.13

$21.11

Occupation

Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

1,177

1,213

36

3.1%

●

State

16,376

16,845

469

2.9%

●

Nation

446,084

458,026

11,942

2.7%

●

Western Technical College
District

1,177

1,213

36

3.1%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Regional Breakdown

County

2020 Jobs

La Crosse County, WI

417

Trempealeau County, WI

229

Monroe County, WI

227

Juneau County, WI

145

Vernon County, WI

66

Occupation Gender Breakdown

Gender
●

Males

●

Females

2015 Jobs 2015 Percent
1,102

94.5%

64

5.5%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

3

0.3%

●

19-24

105

9.0%

●

25-34

298

25.6%

●

35-44

272

23.4%

●

45-54

275

23.6%

●

55-64

194

16.6%

●

65+

19

1.6%

Occupation Race/Ethnicity Breakdown

Race/Ethnicity
●

White

●

2015 Jobs 2015 Percent
1,090

93.5%

Hispanic or Latino

36

3.0%

●

Asian

22

1.9%

●

Black or African American

9

0.8%

●

American Indian or Alaska Native

5

0.4%

●

Two or More Races

4

0.3%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupational Programs

1

38

63

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

48.0508

Completions (2014)

Welding Technology/Welder

38

Industries Employing Welding 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Air-Conditioning and Warm Air Heating Equipment and
Commercial and Industrial Refrigeration Equipment
Manufacturing

138

11.8%

8.3%

Farm Machinery and Equipment Manufacturing

118

10.1%

18.0%

Power Boiler and Heat Exchanger Manufacturing

108

9.2%

19.3%

All Other Miscellaneous General Purpose Machinery
Manufacturing

80

6.9%

11.8%

Sheet Metal Work Manufacturing

78

6.6%

15.9%

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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