2015 OCT Medical Lab Tech Program Trends

2015 OCT Medical Lab Tech Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Medical Lab Tech
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

29-2012

Medical and Clinical Laboratory Technicians

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 Lab Tech 2015 (AED) in 8 Counties
Medical and Clinical Laboratory Technicians (SOC 29-2012):Perform routine medical laboratory tests for the
diagnosis, treatment, and prevention of disease. May work under the supervision of a medical technologist.
Sample of Reported Job Titles: Medical Laboratory Technician (MLT)Laboratory
TechnicianPhlebotomistMedical TechnicianMedical Laboratory Technicians (Medical Lab Technician)Medical
Laboratory Technician (Medical Lab Tech)Laboratory SupervisorLaboratory Assistant (Lab Assistant)Clinical
Laboratory Technician (Clinical Lab Technician)Clinical Laboratory Scientist
Related O*NET Occupation: Medical and Clinical Laboratory Technicians (29-2012.00)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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2016
Jobs

SOC

Description

29-2012

Medical and Clinical
Laboratory
Technicians

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

127

141

14

11%

29

7

$17.76

Occupation Summary for Medical Lab Tech 2015 (AED)

123

11.4%

$17.76/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

26% below National average

Nation: 9.4%

Nation: $18.45/hr

Growth for Medical and Clinical Laboratory Technicians (29-2012)

127

141

14

11.4%

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 and Clinical Laboratory Technicians
(29-2012)

$15.15/hr

$17.76/hr

$21.13/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

127

141

14

11.0%

●

State

2,855

3,116

261

9.1%

●

Nation

169,921

185,880

15,959

9.4%

●

Western Technical College
District

127

141

14

11.0%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Regional Breakdown

County

2020 Jobs

La Crosse County, WI

75

Monroe County, WI

22

Vernon County, WI

11

Trempealeau County, WI

11

Jackson County, WI

<10

Occupation Gender Breakdown

Gender

2015 Jobs 2015 Percent

●

Males

30

24.4%

●

Females

93

75.6%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

0

0.2%

●

19-24

9

7.0%

●

25-34

27

22.0%

●

35-44

23

19.0%

●

45-54

31

25.3%

●

55-64

28

23.2%

●

65+

4

3.4%

Occupation Race/Ethnicity Breakdown

Race/Ethnicity

2015 Jobs 2015 Percent

●

White

115

93.8%

●

Asian

4

3.2%

●

Black or African American

2

1.3%

●

Hispanic or Latino

1

0.9%

●

Two or More Races

1

0.5%

●

American Indian or Alaska Native

0

0.3%

●

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

10.9%

●

Some college, no degree

18.6%

●

Associate's degree

17.1%

●

Bachelor's degree

44.1%

●

Master's degree

5.5%

●

Doctoral or professional degree

2.7%

1.0%

Occupational Programs

1

6

7

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

Completions (2014)

51.1004

Clinical/Medical Laboratory Technician

6

Industries Employing Medical Lab Tech 2015 (AED)
Occupation
Jobs in
Industry
(2015)

% of
Occupation
in Industry
(2015)

% of Total
Jobs in
Industry
(2015)

General Medical and Surgical Hospitals

83

67.8%

0.9%

Offices of Physicians (except Mental Health Specialists)

17

13.9%

0.8%

Federal Government, Civilian, Excluding Postal Service

<10

6.4%

0.2%

Blood and Organ Banks

<10

1.7%

4.4%

Offices of Physicians, Mental Health Specialists

<10

1.3%

0.6%

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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