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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