2017 MAR Human Resource Management Program Trends

2017 MAR Human Resource Management Program Trends








Occupation Overview
Emsi Q1 2017 Data Set
March 2017

Western Technical College

400 Seventh Street
La Crosse, Wisconsin 54601
608.785.9200

Emsi Q1 2017 Data Set | www.economicmodeling.com

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Parameters
Occupations
Code

Description

11-3111

Compensation and Benefits Managers

11-3121

Human Resources Managers

13-1071

Human Resources Specialists

13-1075

Labor Relations Specialists

13-1141

Compensation, Benefits, and Job Analysis Specialists

13-1151

Training and Development Specialists

43-4161

Human Resources Assistants, Except Payroll and Timekeeping

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
2018 - 2022

Datarun
2017.1 – Employees
Emsi Q1 2017 Data Set | www.economicmodeling.com

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2018
Jobs

2022
Jobs

2018 2022
Change

2018 2022 %
Change

2018 2022
Openings

Annual
Openings

Median
Hourly
Earnings

Compensation
and Benefits
Managers

<10

10

Insf.
Data

Insf.
Data

<10

Insf. Data

Insf.
Data

Human
Resources
Managers

109

114

5

5%

18

5

$34.45

515

523

8

2%

59

15

$22.84

57

44

(13)

(23%)

<10

Insf. Data

$10.15

35

39

4

11%

<10

Insf. Data

$21.02

SOC

Description

11-3111

11-3121

13-1071

13-1075

13-1141

Human
Resources
Specialists
Labor
Relations
Specialists
Compensation,
Benefits, and
Job Analysis
Specialists

13-1151

Training and
Development
Specialists

244

251

7

3%

31

8

$19.04

43-4161

Human
Resources
Assistants,
Except Payroll
and
Timekeeping

130

130

0

0%

<10

Insf. Data

$18.49

1,100

1,111

11

1%

129

32

$21.75

Emsi Q1 2017 Data Set | www.economicmodeling.com

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Human Resource Management 2017 (AED) in Western Technical College District

Occupation Summary for Human Resource Management 2015 (AED)

1,086

1.0%

$21.75/hr

Jobs (2016)

% Change (2018-2022)

Median Hourly Earnings

12% below National average

Nation: 3.1%

Nation: $29.98/hr

Growth

1,100

1,111

11

1.0%

2018 Jobs

2022 Jobs

Change (2018-2022)

% Change (2018-2022)

Occupation

2018 Jobs

2022 Jobs

Change

% Change

10

10

0

0%

Human Resources
Managers (11-3121)

109

114

5

5%

Human Resources
Specialists (13-1071)

515

523

8

2%

Labor Relations Specialists
(13-1075)

57

44

-13

-23%

Compensation, Benefits,
and Job Analysis Specialists
(13-1141)

35

39

4

11%

Training and Development
Specialists (13-1151)

244

251

7

3%

Human Resources
Assistants, Except Payroll
and Timekeeping (43-4161)

130

130

0

0%

Compensation and Benefits
Managers (11-3111)

Percentile Earnings

$16.52/hr

$21.75/hr

$28.19/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

Emsi Q1 2017 Data Set | www.economicmodeling.com

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25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Compensation and Benefits
Managers (11-3111)

$26.56

$35.15

$46.44

Human Resources Managers
(11-3121)

$24.70

$34.45

$49.03

Human Resources Specialists
(13-1071)

$17.64

$22.84

$29.13

$8.53

$10.15

$15.64

Compensation, Benefits, and Job
Analysis Specialists (13-1141)

$17.22

$21.02

$25.56

Training and Development
Specialists (13-1151)

$13.43

$19.04

$24.58

Human Resources Assistants,
Except Payroll and Timekeeping
(43-4161)

$15.22

$18.49

$21.40

Occupation

Labor Relations Specialists
(13-1075)

Regional Trends

Region

2018 Jobs

2022 Jobs

Change

% Change

●

Region

1,100

1,111

11

1.0%

●

State

27,674

27,828

154

0.6%

●

Nation

1,269,342

1,308,844

39,502

3.1%

Regional Breakdown
County

2022 Jobs

La Crosse County, WI

502
Emsi Q1 2017 Data Set | www.economicmodeling.com

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County

2022 Jobs

Monroe County, WI

203

Trempealeau County, WI

98

Juneau County, WI

82

Vernon County, WI

77

Occupation Gender Breakdown

Gender

2016 Jobs 2016 Percent

●

Males

329

30.3%

●

Females

757

69.7%

Occupation Age Breakdown

Age

2016 Jobs 2016 Percent

●

14-18

2

0.2%

●

19-24

54

5.0%

●

25-34

258

23.7%

●

35-44

247

22.7%

●

45-54

273

25.1%

●

55-64

218

20.1%

●

65+

36

3.3%

Occupation Race/Ethnicity Breakdown

Race/Ethnicity
●

White

●

Black or African American

2016 Jobs 2016 Percent
1,000

92.1%

29

2.6%

Emsi Q1 2017 Data Set | www.economicmodeling.com

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Race/Ethnicity

2016 Jobs 2016 Percent

●

Hispanic or Latino

24

2.2%

●

Asian

18

1.7%

●

American Indian or Alaska Native

8

0.8%

●

Two or More Races

8

0.7%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

2

11

37

Programs (2015)

Completions (2015)

Openings (2015)

CIP Code

Program

Completions (2015)

52.1001

Human Resources Management/Personnel
Administration, General

52.0408

General Office Occupations and Clerical
Services

11
0

Industries Employing Human Resource Management 2015 (AED)
Occupation
Group Jobs
in Industry
(2016)

% of
Occupation
Group in
Industry
(2016)

% of Total
Jobs in
Industry
(2016)

Corporate, Subsidiary, and Regional Managing Offices

117

10.8%

5.2%

Federal Government, Civilian, Excluding Postal Service

86

7.9%

2.7%

Local Government, Excluding Education and Hospitals

79

7.3%

1.0%

General Medical and Surgical Hospitals

50

4.6%

0.5%

Labor Unions and Similar Labor Organizations

46

4.2%

73.0%

Industry

Emsi Q1 2017 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.

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 Q1 2017 Data Set | www.economicmodeling.com

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