2015 OCT Medical Assistant Program Trends
2015 OCT Medical Assistant Program Trends
Occupation Overview
EMSI Q2 2015 Data Set
Medical Assistant
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
31-9092
Medical Assistants
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
Medical Assistants in 8 Counties
Medical Assistants (SOC 31-9092):Perform administrative and certain clinical duties under the direction of a
physician. Administrative duties may include scheduling appointments, maintaining medical records, billing, and
coding information for insurance purposes. Clinical duties may include taking and recording vital signs and medical
histories, preparing patients for examination, drawing blood, and administering medications as directed by
physician. Excludes "Physician Assistants" (29-1071).
Sample of Reported Job Titles: Chiropractor AssistantCertified Medical Assistant (CMA)Medical Assistant
(MA)Registered Medical Assistant (RMA)Optometric TechnicianOptometric AssistantOphthalmic
TechnicianMedical Office AssistantDoctor's AssistantClinical Assistant
Related O*NET Occupation: Medical Assistants (31-9092.00)
EMSI Q2 2015 Data Set | www.economicmodeling.com
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2016
Jobs
SOC
Description
31-9092
Medical Assistants
2020
Jobs
2016 2020
Change
2016 2020 %
Change
Openings
Annual
Openings
Median
Hourly
Earnings
383
404
21
5%
57
14
$14.46
Occupation Summary for Medical Assistants
381
5.5%
$14.46/hr
Jobs (2015)
% Change (2016-2020)
Median Hourly Earnings
38% below National average
Nation: 8.5%
Nation: $14.41/hr
Growth for Medical Assistants (31-9092)
383
404
21
5.5%
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 Medical Assistants (31-9092)
$12.31/hr
$14.46/hr
$16.67/hr
25th Percentile Earnings
Median Earnings
75th Percentile Earnings
Regional Trends
Region
2016 Jobs
2020 Jobs
Change
% Change
●
Region
383
404
21
5.5%
●
State
11,570
12,468
898
7.8%
●
Nation
631,390
685,029
53,639
8.5%
●
Western Technical College
District
383
404
21
5.5%
Regional Breakdown
EMSI Q2 2015 Data Set | www.economicmodeling.com
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County
2020 Jobs
La Crosse County, WI
195
Monroe County, WI
59
Vernon County, WI
42
Trempealeau County, WI
31
Jackson County, WI
29
Occupation Gender Breakdown
Gender
●
Males
●
2015 Jobs 2015 Percent
Females
28
7.4%
353
92.6%
Occupation Age Breakdown
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Age
2015 Jobs 2015 Percent
●
14-18
2
0.5%
●
19-24
44
11.5%
●
25-34
120
31.4%
●
35-44
89
23.3%
●
45-54
73
19.1%
●
55-64
47
12.5%
●
65+
7
1.8%
Occupation Race/Ethnicity Breakdown
Race/Ethnicity
●
White
●
2015 Jobs 2015 Percent
360
94.6%
Hispanic or Latino
9
2.3%
●
Asian
5
1.4%
●
Black or African American
4
1.1%
●
Two or More Races
1
0.4%
●
American Indian or Alaska Native
1
0.1%
●
Native Hawaiian or Other Pacific Islander
0
0.0%
National Educational Attainment
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Education Level
2015 Percent
●
Less than high school diploma
●
High school diploma or equivalent
23.3%
●
Some college, no degree
42.9%
●
Associate's degree
22.0%
●
Bachelor's degree
7.2%
●
Master's degree
1.4%
●
Doctoral or professional degree
0.8%
2.4%
Occupational Programs
5
75
25
Programs (2014)
Completions (2014)
Openings (2014)
CIP Code
Program
Completions (2014)
51.0801
Medical/Clinical Assistant
52
51.0705
Medical Office Management/Administration
15
51.0716
Medical Administrative/Executive Assistant and
Medical Secretary
7
51.0713
Medical Insurance Coding Specialist/Coder
1
51.0899
Allied Health and Medical Assisting Services,
Other
0
Industries Employing Medical Assistants
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation
Jobs in
Industry
(2015)
% of
Occupation
in Industry
(2015)
% of Total
Jobs in
Industry
(2015)
208
54.6%
9.5%
General Medical and Surgical Hospitals
67
17.6%
0.7%
Offices of Chiropractors
38
10.0%
13.2%
Offices of Physicians, Mental Health Specialists
20
5.1%
7.5%
<10
2.4%
7.7%
Industry
Offices of Physicians (except Mental Health Specialists)
Offices of Optometrists
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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