2015 OCT Landscape Horticulture Program Trends

2015 OCT Landscape Horticulture Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Landscape Horticulture 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

17-1012

Landscape Architects

19-4093

Forest and Conservation Technicians

37-1011

First-Line Supervisors of Housekeeping and Janitorial Workers

37-1012

First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers

37-3012

Pesticide Handlers, Sprayers, and Applicators, Vegetation

37-3013

Tree Trimmers and Pruners

37-3019

Grounds Maintenance Workers, All Other

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
Landscape Horticulture 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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2016
Jobs

Description

17-1012

Landscape Architects

19-4093

37-1011

37-1012

37-3012
37-3013
37-3019

Forest and
Conservation
Technicians
First-Line Supervisors
of Housekeeping and
Janitorial Workers
First-Line Supervisors
of Landscaping, Lawn
Service, and
Groundskeeping
Workers
Pesticide Handlers,
Sprayers, and
Applicators, Vegetation
Tree Trimmers and
Pruners
Grounds Maintenance
Workers, All Other

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

67

67

0

0%

11

3

$18.64

125

129

4

3%

16

4

$18.89

54

57

3

6%

<10

Insf. Data

$23.14

35

37

2

6%

<10

Insf. Data

$16.44

13

14

1

8%

<10

Insf. Data

$16.68

10

11

1

10%

<10

Insf. Data

$16.12

311

SOC

322

11

4%

44

11

$19.24

Occupation Summary for Landscape Horticulture 2015 (AED)

307

3.7%

$19.24/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

26% below National average

Nation: 5.3%

Nation: $18.33/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

311

322

11

3.7%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

7

8

1

14%

67

67

0

0%

First-Line Supervisors of
Housekeeping and Janitorial
Workers (37-1011)

125

129

4

3%

First-Line Supervisors of
Landscaping, Lawn Service,
and Groundskeeping
Workers (37-1012)

54

57

3

6%

Pesticide Handlers,
Sprayers, and Applicators,
Vegetation (37-3012)

35

37

2

6%

Tree Trimmers and Pruners
(37-3013)

13

14

1

8%

Grounds Maintenance
Workers, All Other (37-3019)

10

11

1

10%

Landscape Architects
(17-1012)
Forest and Conservation
Technicians (19-4093)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$15.27/hr

$19.24/hr

$23.32/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Landscape Architects (17-1012)

$22.57

$26.30

$30.74

Forest and Conservation
Technicians (19-4093)

$15.43

$18.64

$21.76

First-Line Supervisors of
Housekeeping and Janitorial
Workers (37-1011)

$14.44

$18.89

$23.32

First-Line Supervisors of
Landscaping, Lawn Service, and
Groundskeeping Workers
(37-1012)

$18.16

$23.14

$28.56

Pesticide Handlers, Sprayers, and
Applicators, Vegetation (37-3012)

$14.03

$16.44

$18.69

Tree Trimmers and Pruners
(37-3013)

$13.25

$16.68

$21.04

Grounds Maintenance Workers,
All Other (37-3019)

$12.36

$16.12

$20.95

Occupation

EMSI Q2 2015 Data Set | www.economicmodeling.com

5

Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

311

322

11

3.5%

●

State

6,475

6,827

352

5.4%

●

Nation

421,777

444,010

22,233

5.3%

●

Western Technical College
District

311

322

11

3.5%

Regional Breakdown

County

2020 Jobs

La Crosse County, WI

147

Monroe County, WI

59

Trempealeau County, WI

37

Juneau County, WI

25

Vernon County, WI

19
EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender
●

Males

●

2015 Jobs 2015 Percent

Females

212

68.8%

96

31.2%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

8

2.7%

●

19-24

38

12.2%

●

25-34

50

16.4%

●

35-44

56

18.2%

●

45-54

79

25.8%

●

55-64

58

19.0%

●

65+

17

5.6%

EMSI Q2 2015 Data Set | www.economicmodeling.com

7

Occupation Race/Ethnicity Breakdown

Race/Ethnicity

2015 Jobs 2015 Percent

●

White

●

Black or African American

●

278

90.4%

10

3.2%

Hispanic or Latino

9

2.8%

●

American Indian or Alaska Native

4

1.5%

●

Asian

4

1.5%

●

Two or More Races

2

0.6%

●

Native Hawaiian or Other Pacific Islander

0

0.0%

Occupational Programs

3

278

11

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

52.0201

Business Administration and Management,
General

251

52.0299

Business Administration, Management and
Operations, Other

23

01.0605

Landscaping and Groundskeeping

EMSI Q2 2015 Data Set | www.economicmodeling.com

Completions (2014)

4

8

Industries Employing Landscape Horticulture 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

Federal Government, Civilian, Excluding Postal Service

55

18.0%

1.8%

Local Government, Excluding Education and Hospitals

39

12.7%

0.5%

Landscaping Services

35

11.2%

14.8%

Hotels (except Casino Hotels) and Motels

23

7.4%

1.5%

Janitorial Services

18

6.0%

4.5%

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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