2015 OCT Respiratory Therapist Program Trends
2015 OCT Respiratory Therapist Program Trends
Occupation Overview
EMSI Q2 2015 Data Set
Respiratory Therapist
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
29-1126
Respiratory Therapists
29-2054
Respiratory Therapy Technicians
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
Respiratory Therapist 2015 (AED) in 8 Counties
EMSI Q2 2015 Data Set | www.economicmodeling.com
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SOC
Description
2016
Jobs
2020
Jobs
2016 2020
Change
2016 2020 %
Change
Openings
Annual
Openings
Median
Hourly
Earnings
29-1126
Respiratory
Therapists
177
194
17
10%
28
7
$26.32
29-2054
Respiratory
Therapy
Technicians
13
15
2
15%
<10
Insf. Data
$22.13
190
209
19
10%
31
8
$26.02
Occupation Summary for Respiratory Therapist 2015 (AED)
184
9.9%
$26.02/hr
Jobs (2015)
% Change (2016-2020)
Median Hourly Earnings
39% above National average
Nation: 6.2%
Nation: $26.92/hr
Growth
190
209
19
9.9%
2016 Jobs
2020 Jobs
Change (2016-2020)
% Change (2016-2020)
Occupation
2016 Jobs
2020 Jobs
Change
% Change
Respiratory Therapists
(29-1126)
177
194
17
10%
Respiratory Therapy
Technicians (29-2054)
13
15
2
15%
EMSI Q2 2015 Data Set | www.economicmodeling.com
3
Percentile Earnings
$22.85/hr
$26.02/hr
$29.74/hr
25th Percentile Earnings
Median Earnings
75th Percentile Earnings
25th Percentile
Earnings
Median Earnings
75th Percentile
Earnings
Respiratory Therapists (29-1126)
$23.16
$26.32
$30.03
Respiratory Therapy Technicians
(29-2054)
$18.80
$22.13
$25.98
Occupation
Regional Trends
Region
2016 Jobs
2020 Jobs
Change
% Change
●
Region
190
209
19
10.0%
●
State
2,210
2,360
150
6.8%
●
Nation
134,923
143,342
8,419
6.2%
●
Western Technical College
District
190
209
19
10.0%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Regional Breakdown
County
2020 Jobs
La Crosse County, WI
160
Monroe County, WI
13
Vernon County, WI
10
Trempealeau County, WI
<10
Jackson County, WI
<10
Occupation Gender Breakdown
Gender
●
Males
●
Females
2015 Jobs 2015 Percent
66
35.9%
118
64.1%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation Age Breakdown
Age
2015 Jobs 2015 Percent
●
14-18
0
0.0%
●
19-24
6
3.0%
●
25-34
41
22.3%
●
35-44
43
23.1%
●
45-54
53
28.6%
●
55-64
38
20.8%
●
65+
4
2.0%
Occupation Race/Ethnicity Breakdown
Race/Ethnicity
2015 Jobs 2015 Percent
●
White
178
96.6%
●
Asian
3
1.8%
●
Hispanic or Latino
1
0.6%
●
Black or African American
1
0.5%
●
Two or More Races
1
0.4%
●
American Indian or Alaska Native
0
0.2%
●
Native Hawaiian or Other Pacific Islander
0
0.0%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupational Programs
1
14
7
Programs (2014)
Completions (2014)
Openings (2014)
CIP Code
Program
Completions (2014)
51.0908
Respiratory Care Therapy/Therapist
14
Industries Employing Respiratory Therapist 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)
% of
Occupation
Group in
Industry
(2015)
% of Total
Jobs in
Industry
(2015)
General Medical and Surgical Hospitals
167
90.6%
1.7%
Nursing Care Facilities (Skilled Nursing Facilities)
<10
2.5%
0.2%
Offices of Physicians (except Mental Health Specialists)
<10
2.1%
0.2%
Federal Government, Civilian, Excluding Postal Service
<10
0.6%
0.0%
Home Health Equipment Rental
<10
0.4%
2.3%
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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