2015 OCT Human Resource Management Program Trends

2015 OCT Human Resource Management Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Human Resource Management 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

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
2016 - 2020

Datarun
2015.2 – Employees
Human resource Management (2 year) 6/2013 in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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11-3111
11-3121
13-1071
13-1075
13-1141
13-1151
43-4161

2016
Jobs

Description

Compensation and
Benefits Managers
Human Resources
Managers
Human Resources
Specialists
Labor Relations
Specialists
Compensation, Benefits,
and Job Analysis
Specialists
Training and
Development Specialists
Human Resources
Assistants, Except Payroll
and Timekeeping

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

<10

<10

Insf.
Data

Insf.
Data

<10

Insf. Data

Insf.
Data

89

95

6

7%

16

4

$38.87

453

462

9

2%

44

11

$24.39

80

65

(15)

(19%)

<10

Insf. Data

$9.50

52

57

5

10%

<10

Insf. Data

$20.28

231

243

12

5%

30

8

$21.22

150

150

0

0%

17

4

$18.56

1,062

SOC

1,080

18

2%

122

31

$22.58

Occupation Summary for Human resource Management (2 year) 6/2013

1,055

1.7%

$22.58/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

11% below National average

Nation: 3.5%

Nation: $29.12/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

1,062

1,080

19

1.7%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

7

7

0

0%

Human Resources
Managers (11-3121)

89

95

6

7%

Human Resources
Specialists (13-1071)

453

462

9

2%

Labor Relations Specialists
(13-1075)

80

65

-15

-19%

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

52

57

5

10%

Training and Development
Specialists (13-1151)

231

243

12

5%

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

150

150

0

0%

Compensation and Benefits
Managers (11-3111)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$18.22/hr

$22.58/hr

$27.92/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Compensation and Benefits
Managers (11-3111)

$27.27

$34.30

$43.13

Human Resources Managers
(11-3121)

$29.39

$38.87

$48.23

Human Resources Specialists
(13-1071)

$19.80

$24.39

$29.99

$8.10

$9.50

$11.12

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

$16.83

$20.28

$24.98

Training and Development
Specialists (13-1151)

$17.03

$21.22

$27.63

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

$15.48

$18.56

$21.65

Occupation

Labor Relations Specialists
(13-1075)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

1,062

1,080

18

1.7%

●

State

26,110

26,593

483

1.8%

●

Nation

1,190,971

1,232,718

41,747

3.5%

●

Western Technical College
District

1,062

1,080

18

1.7%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

532

Monroe County, WI

202

Trempealeau County, WI

82

Juneau County, WI

61

Vernon County, WI

61

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender

2015 Jobs 2015 Percent

●

Males

308

29.2%

●

Females

747

70.8%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

3

0.3%

●

19-24

62

5.8%

●

25-34

236

22.4%

●

35-44

243

23.0%

●

45-54

268

25.4%

●

55-64

205

19.5%

●

65+

39

3.7%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity
●

White

●

2015 Jobs 2015 Percent
983

93.1%

Black or African American

27

2.6%

●

Hispanic or Latino

16

1.5%

●

Asian

16

1.5%

●

American Indian or Alaska Native

7

0.7%

●

Two or More Races

5

0.5%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

2

13

32

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

52.1001

Human Resources Management/Personnel
Administration, General

52.0408

General Office Occupations and Clerical
Services

EMSI Q2 2015 Data Set | www.economicmodeling.com

Completions (2014)
13
0

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Industries Employing Human resource Management (2 year) 6/2013
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Federal Government, Civilian, Excluding Postal Service

99

9.4%

3.1%

Corporate, Subsidiary, and Regional Managing Offices

97

9.2%

4.5%

Local Government, Excluding Education and Hospitals

77

7.3%

1.0%

Labor Unions and Similar Labor Organizations

62

5.8%

72.8%

General Medical and Surgical Hospitals

53

5.0%

0.5%

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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