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

1

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

2

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

3

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

4

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

5

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

6

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

7

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

8

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

9