2015 OCT Paralegal Program Trends

2015 OCT Paralegal Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Paralegal 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

23-1012

Judicial Law Clerks

23-2011

Paralegals and Legal Assistants

23-2093

Title Examiners, Abstractors, and Searchers

23-2099

Legal Support Workers, All Other

43-4031

Court, Municipal, and License Clerks

43-6012

Legal Secretaries

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
Paralegal 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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2016
Jobs

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

Judicial Law Clerks

<10

<10

Insf. Data

Insf.
Data

<10

Insf. Data

Insf. Data

23-2011

Paralegals and
Legal Assistants

111

117

6

5%

15

4

$17.31

23-2093

Title Examiners,
Abstractors, and
Searchers

26

26

0

0%

<10

Insf. Data

$13.82

23-2099

Legal Support
Workers, All Other

18

19

1

6%

<10

Insf. Data

$19.41

43-4031

Court, Municipal,
and License Clerks

223

227

4

2%

19

5

$11.35

43-6012

Legal Secretaries

65
452

65
463

0
11

0%
2%

<10
45

Insf. Data
11

$18.25
$14.39

SOC

Description

23-1012

Occupation Summary for Paralegal 2015 (AED)

448

2.5%

$14.39/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

39% below National average

Nation: 3.4%

Nation: $21.33/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

452

463

11

2.5%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

9

9

0

0%

111

117

6

5%

Title Examiners, Abstractors,
and Searchers (23-2093)

26

26

0

0%

Legal Support Workers, All
Other (23-2099)

18

19

1

6%

223

227

4

2%

65

65

0

0%

Judicial Law Clerks
(23-1012)
Paralegals and Legal
Assistants (23-2011)

Court, Municipal, and
License Clerks (43-4031)
Legal Secretaries (43-6012)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$12.22/hr

$14.39/hr

$19.29/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Judicial Law Clerks (23-1012)

$13.90

$16.23

$18.45

Paralegals and Legal Assistants
(23-2011)

$14.84

$17.31

$20.43

Title Examiners, Abstractors, and
Searchers (23-2093)

$11.86

$13.82

$17.07

Legal Support Workers, All Other
(23-2099)

$15.89

$19.41

$23.65

$9.49

$11.35

$17.88

$15.80

$18.25

$21.85

Occupation

Court, Municipal, and License
Clerks (43-4031)
Legal Secretaries (43-6012)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

452

463

11

2.4%

●

State

10,765

11,129

364

3.4%

●

Nation

743,283

768,224

24,941

3.4%

●

Western Technical College
District

452

463

11

2.4%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

159

Monroe County, WI

83

Jackson County, WI

61

Juneau County, WI

55

Trempealeau County, WI

37

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

60

13.4%

388

86.6%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

2

0.5%

●

19-24

24

5.4%

●

25-34

70

15.7%

●

35-44

87

19.4%

●

45-54

127

28.3%

●

55-64

102

22.8%

●

65+

36

8.0%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity

2015 Jobs 2015 Percent

●

White

●

Black or African American

●

411

91.6%

16

3.6%

American Indian or Alaska Native

7

1.6%

●

Hispanic or Latino

7

1.6%

●

Asian

4

0.9%

●

Two or More Races

3

0.7%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

2

12

7

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

22.0302

Legal Assistant/Paralegal

52.0408

General Office Occupations and Clerical
Services

EMSI Q2 2015 Data Set | www.economicmodeling.com

Completions (2014)
12
0

8

Industries Employing Paralegal 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

201

44.8%

2.5%

Offices of Lawyers

118

26.3%

32.3%

State Government, Excluding Education and Hospitals

61

13.6%

3.0%

Federal Government, Civilian, Excluding Postal Service

21

4.7%

0.7%

Title Abstract and Settlement Offices

15

3.4%

32.1%

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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