2015 OCT Medical Administrative Professional Program Trends

2015 OCT Medical Administrative Professional Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Medical Administrative Professional Program
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

29-2071

Medical Records and Health Information Technicians

31-9094

Medical Transcriptionists

31-9099

Healthcare Support Workers, All Other

43-6013

Medical Secretaries

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 Administrative Professional 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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29-2071

31-9094

31-9099

43-6013

Description

Medical
Records and
Health
Information
Technicians
Medical
Transcriptionists
Healthcare
Support
Workers, All
Other
Medical
Secretaries

2016
Jobs

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

213

228

15

7%

39

10

$15.51

157

157

0

0%

13

3

$17.80

117

125

8

7%

18

5

$16.51

756

801

45

6%

84

21

$15.57

1,243

SOC

1,310

67

5%

154

39

$15.94

Occupation Summary for Medical Administrative Professional 2015
(AED)

1,221

5.4%

$15.94/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

34% above National average

Nation: 9.0%

Nation: $16.10/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

1,243

1,310

67

5.4%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

Medical Records and Health
Information Technicians
(29-2071)

213

228

15

7%

Medical Transcriptionists
(31-9094)

157

157

0

0%

Healthcare Support
Workers, All Other (31-9099)

117

125

8

7%

Medical Secretaries
(43-6013)

756

801

45

6%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$13.69/hr

$15.94/hr

$18.39/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Medical Records and Health
Information Technicians
(29-2071)

$13.29

$15.51

$18.52

Medical Transcriptionists
(31-9094)

$15.56

$17.80

$20.40

Healthcare Support Workers, All
Other (31-9099)

$13.13

$16.51

$19.72

Medical Secretaries (43-6013)

$13.48

$15.57

$17.71

Occupation

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

1,243

1,310

67

5.4%

●

State

18,805

20,223

1,418

7.5%

●

Nation

932,907

1,016,474

83,567

9.0%

●

Western Technical College
District

1,243

1,310

67

5.4%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

912

Monroe County, WI

134

Vernon County, WI

76

Jackson County, WI

55

Trempealeau County, WI

51

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

77

6.3%

1,144

93.7%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

6

0.5%

●

19-24

95

7.8%

●

25-34

238

19.5%

●

35-44

250

20.5%

●

45-54

297

24.3%

●

55-64

282

23.1%

●

65+

53

4.3%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity

2015 Jobs 2015 Percent

●

White

1,171

95.9%

●

Asian

13

1.1%

●

Hispanic or Latino

13

1.1%

●

Black or African American

13

1.1%

●

American Indian or Alaska Native

6

0.5%

●

Two or More Races

4

0.3%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

6

46

54

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

51.0814

Radiologist Assistant

25

51.0707

Health Information/Medical Records
Technology/Technician

12

51.0716

Medical Administrative/Executive Assistant and
Medical Secretary

7

51.0713

Medical Insurance Coding Specialist/Coder

1

51.2604

Rehabilitation Aide

1

EMSI Q2 2015 Data Set | www.economicmodeling.com

Completions (2014)

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Industries Employing Medical Administrative Professional 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

475

38.9%

4.9%

Offices of Physicians (except Mental Health Specialists)

353

28.9%

16.1%

Offices of Dentists

67

5.5%

8.8%

Offices of Physicians, Mental Health Specialists

47

3.9%

18.3%

Offices of Chiropractors

44

3.6%

15.3%

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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