2015 OCT Medical Administrative Professional Program Trends

2015 OCT Medical Administrative Professional Program Trends








Occupation Overview
EMSI Q3 2015 Data Set
December 2015

Medical Administrative Professional

Western Technical College

400 Seventh Street
La Crosse, Wisconsin 54601
608.785.9200

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Parameters
Occupations
Code

Description

31-9094

Medical Transcriptionists

31-9099

Healthcare Support Workers, All Other

43-1011

First-Line Supervisors of Office and Administrative Support Workers

43-6011

Executive Secretaries and Executive Administrative Assistants

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
2015.3 – Employees
Medical Administrative Professional 2015 (AED) in 8 Counties

EMSI Q3 2015 Data Set | www.economicmodeling.com

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2016
Jobs

2020
Jobs

2016 2020
Change

2016 - 2020
% Change

Openings

Annual
Openings

Median
Hourly
Earnings

Medical
Transcriptionists

156

155

(1)

(1%)

13

3

$17.77

31-9099

Healthcare Support
Workers, All Other

117

125

8

7%

17

4

$16.45

43-1011

First-Line Supervisors
of Office and
Administrative Support
Workers

1,224

1,304

80

7%

201

50

$20.43

43-6011

Executive Secretaries
and Executive
Administrative
Assistants

359

366

7

2%

26

7

$20.46

43-6013

Medical Secretaries

758

799

41

5%

81

20

$15.57

2,613

2,749

136

5%

339

85

$18.71

SOC

Description

31-9094

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Occupation Summary for Medical Administrative Professional 2015
(AED)

2,566

5.2%

$18.71/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

12% below National average

Nation: 4.6%

Nation: $22.40/hr

Growth

2,613

2,749

0

0.0%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

Medical Transcriptionists
(31-9094)

156

155

-1

-1%

Healthcare Support
Workers, All Other (319099)

117

125

8

7%

1,224

1,304

80

7%

Executive Secretaries and
Executive Administrative
Assistants (43-6011)

359

366

7

2%

Medical Secretaries (436013)

758

799

41

5%

First-Line Supervisors of
Office and Administrative
Support Workers (43-1011)

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$15.12/hr

$18.71/hr

$22.93/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Medical Transcriptionists (319094)

$15.54

$17.77

$20.37

Healthcare Support Workers, All
Other (31-9099)

$13.08

$16.45

$19.64

First-Line Supervisors of Office
and Administrative Support
Workers (43-1011)

$15.70

$20.43

$26.21

Executive Secretaries and
Executive Administrative
Assistants (43-6011)

$16.99

$20.46

$24.74

Medical Secretaries (43-6013)

$13.48

$15.57

$17.71

Occupation

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

2,613

2,749

136

5.2%

●

State

52,481

55,004

2,523

4.8%

●

Nation

2,983,815

3,120,008

136,193

4.6%

●

Western Technical College
District

2,613

2,749

136

5.2%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

1,720

Monroe County, WI

283

Trempealeau County, WI

171

Vernon County, WI

155

Crawford County, WI

133
EMSI Q3 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

443

17.3%

2,123

82.7%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

9

0.4%

●

19-24

152

5.9%

●

25-34

478

18.6%

●

35-44

545

21.2%

●

45-54

686

26.7%

●

55-64

578

22.5%

●

65+

119

4.6%

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity
●

White

●

2015 Jobs 2015 Percent
2,459

95.8%

Hispanic or Latino

31

1.2%

●

Black or African American

30

1.2%

●

Asian

27

1.1%

●

Two or More Races

10

0.4%

●

American Indian or Alaska Native

8

0.3%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

7

76

95

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

52.0204

Office Management and Supervision

32

51.0814

Radiologist Assistant

25

52.0401

Administrative Assistant and Secretarial
Science, General

11

51.0716

Medical Administrative/Executive Assistant
and Medical Secretary

7

51.2604

Rehabilitation Aide

1

EMSI Q3 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

444

17.3%

4.6%

Offices of Physicians (except Mental Health Specialists)

352

13.7%

16.7%

Local Government, Excluding Education and Hospitals

115

4.5%

1.4%

Commercial Banking

105

4.1%

7.5%

89

3.5%

4.3%

Industry

Corporate, Subsidiary, and Regional Managing Offices

EMSI Q3 2015 Data Set | www.economicmodeling.com

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Appendix A - Data Sources and
Calculations
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.

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.

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.

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.

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.

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.

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 Q3 2015 Data Set | www.economicmodeling.com

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