2015 OCT Therapeutic Massage Program Trends
2015 OCT Therapeutic Massage Program Trends
Occupation Overview
EMSI Q2 2015 Data Set
Therapeutic Massage
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
31-9011
Massage Therapists
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
Therapeutic Massage 2015 (AED) in 8 Counties
Massage Therapists (SOC 31-9011):Perform therapeutic massages of soft tissues and joints. May assist in the
assessment of range of motion and muscle strength, or propose client therapy plans.
Sample of Reported Job Titles: Medical Massage TherapistLicensed Massage TherapistLicensed Massage
Practitioner (LMP)Clinical Massage TherapistTherapeutic Massage TechnicianReiki MasterRegistered Massage
TherapistOrthopedic Neuromuscular TherapistNeuromuscular TherapistMassage Therapist
Related O*NET Occupation: Massage Therapists (31-9011.00)
EMSI Q2 2015 Data Set | www.economicmodeling.com
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2016
Jobs
SOC
Description
31-9011
Massage Therapists
2020
Jobs
2016 2020
Change
2016 2020 %
Change
Openings
Annual
Openings
Median
Hourly
Earnings
60
67
7
12%
<10
Insf. Data
$20.31
Occupation Summary for Therapeutic Massage 2015 (AED)
57
11.8%
$20.31/hr
Jobs (2015)
% Change (2016-2020)
Median Hourly Earnings
38% below National average
Nation: 11.9%
Nation: $17.88/hr
Growth for Massage Therapists (31-9011)
60
67
7
11.8%
2016 Jobs
2020 Jobs
Change (2016-2020)
% Change (2016-2020)
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Percentile Earnings for Massage Therapists (31-9011)
$14.25/hr
$20.31/hr
$26.07/hr
25th Percentile Earnings
Median Earnings
75th Percentile Earnings
Regional Trends
Region
2016 Jobs
2020 Jobs
Change
% Change
●
Region
60
67
7
11.7%
●
State
1,572
1,719
147
9.4%
●
Nation
95,120
106,483
11,363
11.9%
●
Western Technical College
District
60
67
7
11.7%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Regional Breakdown
County
2020 Jobs
La Crosse County, WI
42
Monroe County, WI
<10
Trempealeau County, WI
<10
Jackson County, WI
<10
Vernon County, WI
<10
Occupation Gender Breakdown
Gender
●
Males
●
Females
2015 Jobs 2015 Percent
5
9.4%
52
90.6%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation Age Breakdown
Age
2015 Jobs 2015 Percent
●
14-18
0
0.3%
●
19-24
10
16.6%
●
25-34
21
36.2%
●
35-44
13
22.5%
●
45-54
9
15.6%
●
55-64
4
7.0%
●
65+
1
1.8%
Occupation Race/Ethnicity Breakdown
Race/Ethnicity
2015 Jobs 2015 Percent
●
White
55
95.8%
●
Asian
1
1.5%
●
Two or More Races
1
1.2%
●
Hispanic or Latino
1
1.1%
●
Black or African American
0
0.4%
●
American Indian or Alaska Native
0
0.0%
●
Native Hawaiian or Other Pacific Islander
0
0.0%
EMSI Q2 2015 Data Set | www.economicmodeling.com
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National Educational Attainment
Education Level
2015 Percent
●
Less than high school diploma
●
High school diploma or equivalent
18.6%
●
Some college, no degree
37.7%
●
Associate's degree
15.8%
●
Bachelor's degree
20.3%
●
Master's degree
3.7%
●
Doctoral or professional degree
2.2%
1.8%
Occupational Programs
1
27
2
Programs (2014)
Completions (2014)
Openings (2014)
CIP Code
Program
Completions (2014)
51.3501
Massage Therapy/Therapeutic Massage
27
Industries Employing Therapeutic Massage 2015 (AED)
Occupation
Jobs in
Industry
(2015)
% of
Occupation
in Industry
(2015)
% of Total
Jobs in
Industry
(2015)
Beauty Salons
22
38.6%
4.9%
Offices of Chiropractors
20
35.6%
7.1%
Hotels (except Casino Hotels) and Motels
<10
5.8%
0.2%
Offices of All Other Miscellaneous Health Practitioners
<10
4.3%
11.0%
Other Personal Care Services
<10
3.8%
4.7%
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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