2015 OCT Architectural Technology Program Trends

2015 OCT Architectural Technology Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Architectural Technology 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

13-1051

Cost Estimators

17-1011

Architects, Except Landscape and Naval

17-3011

Architectural and Civil Drafters

17-3022

Civil Engineering Technicians

17-3029

Engineering Technicians, Except Drafters, All Other

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
Architectural Technology 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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2016
Jobs

Description

13-1051

Cost Estimators
Architects, Except
Landscape and Naval
Architectural and Civil
Drafters
Civil Engineering
Technicians

17-1011
17-3011
17-3022
17-3029

Engineering
Technicians, Except
Drafters, All Other

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

223

242

19

9%

49

12

$26.03

61

71

10

16%

17

4

$29.23

91

94

3

3%

<10

Insf. Data

$19.58

58

58

0

0%

<10

Insf. Data

$22.54

74

74

0

0%

<10

Insf. Data

$25.31

508

SOC

539

31

6%

88

22

$24.69

Occupation Summary for Architectural Technology 2015 (AED)

499

6.2%

$24.69/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

10% below National average

Nation: 2.9%

Nation: $28.54/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

508

539

31

6.2%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

223

242

19

9%

Architects, Except
Landscape and Naval
(17-1011)

61

71

10

16%

Architectural and Civil
Drafters (17-3011)

91

94

3

3%

Civil Engineering
Technicians (17-3022)

58

58

0

0%

Engineering Technicians,
Except Drafters, All Other
(17-3029)

74

74

0

0%

Cost Estimators (13-1051)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$19.68/hr

$24.69/hr

$30.52/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Cost Estimators (13-1051)

$19.59

$26.03

$32.52

Architects, Except Landscape and
Naval (17-1011)

$22.68

$29.23

$39.12

Architectural and Civil Drafters
(17-3011)

$16.69

$19.58

$24.20

Civil Engineering Technicians
(17-3022)

$18.90

$22.54

$26.31

Engineering Technicians, Except
Drafters, All Other (17-3029)

$21.90

$25.31

$29.35

Occupation

EMSI Q2 2015 Data Set | www.economicmodeling.com

5

Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

508

539

31

6.1%

●

State

10,479

10,641

162

1.5%

●

Nation

554,219

570,524

16,305

2.9%

●

Western Technical College
District

508

539

31

6.1%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

269

Monroe County, WI

106

Trempealeau County, WI

49

Jackson County, WI

30

Juneau County, WI

28
EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

419

84.0%

80

16.0%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

2

0.4%

●

19-24

37

7.3%

●

25-34

96

19.1%

●

35-44

99

19.9%

●

45-54

127

25.4%

●

55-64

111

22.2%

●

65+

28

5.6%

EMSI Q2 2015 Data Set | www.economicmodeling.com

7

Occupation Race/Ethnicity Breakdown

Race/Ethnicity

2015 Jobs 2015 Percent

●

White

480

96.2%

●

Asian

7

1.3%

●

Black or African American

4

0.9%

●

Hispanic or Latino

4

0.8%

●

Two or More Races

2

0.4%

●

American Indian or Alaska Native

2

0.4%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

5

261

32

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

52.0201

Business Administration and Management,
General

15.1302

CAD/CADD Drafting and/or Design
Technology/Technician

6

15.0101

Architectural Engineering
Technology/Technician

2

15.0503

Energy Management and Systems
Technology/Technician

2

52.0101

Business/Commerce, General

0

EMSI Q2 2015 Data Set | www.economicmodeling.com

Completions (2014)
251

8

Industries Employing Architectural Technology 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Architectural Services

61

12.2%

44.9%

Federal Government, Civilian, Excluding Postal Service

44

8.8%

1.4%

Engineering Services

38

7.7%

12.9%

Local Government, Excluding Education and Hospitals

32

6.4%

0.4%

Commercial and Institutional Building Construction

22

4.5%

3.6%

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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