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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