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
8
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
9
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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