2015 OCT Criminal Justice Program Trends

2015 OCT Criminal Justice Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Criminal Justice 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

21-1092

Probation Officers and Correctional Treatment Specialists

33-3011

Bailiffs

33-3012

Correctional Officers and Jailers

33-3031

Fish and Game Wardens

33-3051

Police and Sheriff's Patrol Officers

33-9021

Private Detectives and Investigators

33-9031

Gaming Surveillance Officers and Gaming Investigators

33-9032

Security Guards

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
Criminal Justice 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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2016
Jobs

Description

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Median
Hourly
Earnings

Annual
Openings

Openings

Probation Officers and
Correctional Treatment
Specialists
Bailiffs
Correctional Officers and Jailers

84

83

(1)

(1%)

$23.43

Insf. Data

<10

15
567

15
564

0
(3)

0%
(1%)

Insf. Data
16

<10
65

Fish and Game Wardens

<10

<10

Insf. Data

Insf. Data

Insf. Data

<10

Police and Sheriff's Patrol Officers
Private Detectives and
Investigators
Gaming Surveillance Officers and
Gaming Investigators
Security Guards

734

737

3

0%

26

103

<10

<10

Insf. Data

Insf. Data

Insf. Data

<10

<10

<10

Insf. Data

Insf. Data

0

0

384
1,800

404
1,819

20
19

5%
1%

$14.96
$21.02
Insf.
Data
$21.64
Insf.
Data
Insf.
Data
$11.45
$19.38

11
57

45
227

Occupation Summary for Criminal Justice 2015 (AED)

1,795

1.1%

$19.38/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

27% below National average

Nation: 3.9%

Nation: $18.21/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

1,800

1,819

20

1.1%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

Probation Officers and
Correctional Treatment
Specialists (21-1092)

84

83

-1

-1%

Bailiffs (33-3011)

15

15

0

0%

Correctional Officers and
Jailers (33-3012)

567

564

-3

-1%

Fish and Game Wardens
(33-3031)

6

6

0

0%

Police and Sheriff's Patrol
Officers (33-3051)

734

737

3

0%

Private Detectives and
Investigators (33-9021)

7

8

1

14%

Gaming Surveillance
Officers and Gaming
Investigators (33-9031)

2

2

0

0%

384

404

20

5%

Security Guards (33-9032)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$16.32/hr

$19.38/hr

$22.62/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Probation Officers and
Correctional Treatment
Specialists (21-1092)

$19.91

$23.43

$27.10

Bailiffs (33-3011)

$11.73

$14.96

$18.39

Correctional Officers and Jailers
(33-3012)

$18.91

$21.02

$23.55

Fish and Game Wardens
(33-3031)

$20.61

$23.20

$23.87

Police and Sheriff's Patrol Officers
(33-3051)

$17.20

$21.64

$25.74

Private Detectives and
Investigators (33-9021)

$16.48

$20.56

$26.15

Gaming Surveillance Officers and
Gaming Investigators (33-9031)

$11.37

$13.44

$15.93

$9.76

$11.45

$13.99

Occupation

Security Guards (33-9032)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

1,800

1,819

19

1.1%

●

State

33,231

33,718

487

1.5%

●

Nation

2,471,831

2,568,016

96,185

3.9%

●

Western Technical College
District

1,800

1,819

19

1.1%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Regional Breakdown

County

2020 Jobs

La Crosse County, WI

672

Monroe County, WI

267

Jackson County, WI

265

Juneau County, WI

256

Crawford County, WI

111

Occupation Gender Breakdown

Gender
●

Males

●

Females

2015 Jobs 2015 Percent
1,282

71.4%

513

28.6%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

6

0.4%

●

19-24

169

9.4%

●

25-34

405

22.6%

●

35-44

466

26.0%

●

45-54

408

22.7%

●

55-64

254

14.2%

●

65+

86

4.8%

Occupation Race/Ethnicity Breakdown

Race/Ethnicity
●

White

●

Black or African American

●

2015 Jobs 2015 Percent
1,561

87.0%

130

7.2%

Hispanic or Latino

41

2.3%

●

American Indian or Alaska Native

29

1.6%

●

Two or More Races

18

1.0%

●

Asian

16

0.9%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupational Programs

2

72

55

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

Completions (2014)

43.0107

Criminal Justice/Police Science

48

44.0701

Social Work

24

Industries Employing Criminal Justice 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Local Government, Excluding Education and Hospitals

937

52.2%

11.6%

State Government, Excluding Education and Hospitals

384

21.4%

18.6%

Investigation Services

79

4.4%

83.6%

Federal Government, Civilian, Excluding Postal Service

66

3.7%

2.1%

Security Guards and Patrol Services

50

2.8%

83.8%

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
EMSI Q2 2015 Data Set | www.economicmodeling.com

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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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