2015 OCT Agri-Business Science Technology Program Trends

2015 OCT Agri-Business Science Technology Program Trends

Occupation Overview
EMSI Q2 2015 Data Set

Agri-Business Science Technology
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

11-9013

Farmers, Ranchers, and Other Agricultural Managers

13-1021

Buyers and Purchasing Agents, Farm Products

19-1012

Food Scientists and Technologists

19-1013

Soil and Plant Scientists

19-4011

Agricultural and Food Science Technicians

45-1011

First-Line Supervisors of Farming, Fishing, and Forestry Workers

45-2011

Agricultural Inspectors

45-2041

Graders and Sorters, Agricultural Products

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
Agri-Business Science Technology 2015 (AED) in 8 Counties

EMSI Q2 2015 Data Set | www.economicmodeling.com

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2016
Jobs

Description

11-9013

Farmers, Ranchers,
and Other Agricultural
Managers

13-1021
19-1012
19-1013
19-4011
45-1011
45-2011
45-2041

Buyers and Purchasing
Agents, Farm Products
Food Scientists and
Technologists
Soil and Plant
Scientists
Agricultural and Food
Science Technicians
First-Line Supervisors
of Farming, Fishing,
and Forestry Workers
Agricultural Inspectors
Graders and Sorters,
Agricultural Products

2020
Jobs

2016 2020
Change

2016 2020 %
Change

Openings

Annual
Openings

Median
Hourly
Earnings

161

172

11

7%

22

6

$24.62

15

16

1

7%

<10

Insf. Data

$21.41

34

37

3

9%

<10

Insf. Data

$28.77

18

18

0

0%

<10

Insf. Data

$27.20

65

68

3

5%

13

3

$17.89

80

84

4

5%

11

3

$27.65

55

54

(1)

(2%)

<10

Insf. Data

$24.64

69

71

2

3%

<10

Insf. Data

$12.40

496

SOC

519

23

5%

73

18

$22.79

Occupation Summary for Agri-Business Science Technology 2015
(AED)

485

4.7%

$22.79/hr

Jobs (2015)

% Change (2016-2020)

Median Hourly Earnings

90% above National average

Nation: 2.4%

Nation: $22.46/hr

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Growth

496

519

23

4.7%

2016 Jobs

2020 Jobs

Change (2016-2020)

% Change (2016-2020)

Occupation

2016 Jobs

2020 Jobs

Change

% Change

161

172

11

7%

Buyers and Purchasing
Agents, Farm Products
(13-1021)

15

16

1

7%

Food Scientists and
Technologists (19-1012)

34

37

3

9%

Soil and Plant Scientists
(19-1013)

18

18

0

0%

Agricultural and Food
Science Technicians
(19-4011)

65

68

3

5%

First-Line Supervisors of
Farming, Fishing, and
Forestry Workers (45-1011)

80

84

4

5%

Agricultural Inspectors
(45-2011)

55

54

-1

-2%

Graders and Sorters,
Agricultural Products
(45-2041)

69

71

2

3%

Farmers, Ranchers, and
Other Agricultural Managers
(11-9013)

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Percentile Earnings

$18.90/hr

$22.79/hr

$25.98/hr

25th Percentile Earnings

Median Earnings

75th Percentile Earnings

25th Percentile
Earnings

Median Earnings

75th Percentile
Earnings

Farmers, Ranchers, and Other
Agricultural Managers (11-9013)

$22.28

$24.62

$26.80

Buyers and Purchasing Agents,
Farm Products (13-1021)

$16.83

$21.41

$27.36

Food Scientists and Technologists
(19-1012)

$22.20

$28.77

$35.65

Soil and Plant Scientists
(19-1013)

$22.38

$27.20

$32.90

Agricultural and Food Science
Technicians (19-4011)

$14.30

$17.89

$20.87

First-Line Supervisors of Farming,
Fishing, and Forestry Workers
(45-1011)

$20.30

$27.65

$31.67

Agricultural Inspectors (45-2011)

$19.76

$24.64

$27.74

Graders and Sorters, Agricultural
Products (45-2041)

$11.11

$12.40

$14.29

Occupation

EMSI Q2 2015 Data Set | www.economicmodeling.com

5

Regional Trends

Region

2016 Jobs

2020 Jobs

Change

% Change

●

Region

496

519

23

4.6%

●

State

6,966

7,310

344

4.9%

●

Nation

256,096

262,195

6,099

2.4%

●

Western Technical College
District

496

519

23

4.6%

Regional Breakdown

County

2020 Jobs

Monroe County, WI

122

Trempealeau County, WI

95

La Crosse County, WI

77

Vernon County, WI

56

Jackson County, WI

55

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Gender Breakdown

Gender

2015 Jobs 2015 Percent

●

Males

309

63.8%

●

Females

176

36.2%

Occupation Age Breakdown

Age

2015 Jobs 2015 Percent

●

14-18

4

0.8%

●

19-24

37

7.6%

●

25-34

84

17.3%

●

35-44

94

19.4%

●

45-54

121

25.0%

●

55-64

104

21.5%

●

65+

41

8.5%

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Occupation Race/Ethnicity Breakdown

Race/Ethnicity
●

White

●

2015 Jobs 2015 Percent
430

88.6%

Hispanic or Latino

27

5.6%

●

Asian

12

2.5%

●

Black or African American

10

2.1%

●

American Indian or Alaska Native

4

0.8%

●

Two or More Races

1

0.3%

●

Native Hawaiian or Other Pacific Islander

1

0.2%

Occupational Programs

3

13

27

Programs (2014)

Completions (2014)

Openings (2014)

CIP Code

Program

Completions (2014)

01.0105

Agricultural/Farm Supplies Retailing and
Wholesaling

9

01.0104

Farm/Farm and Ranch Management

4

01.0199

Agricultural Business and Management, Other

0

EMSI Q2 2015 Data Set | www.economicmodeling.com

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Industries Employing Agri-Business Science Technology 2015 (AED)
Occupation
Group Jobs
in Industry
(2015)

% of
Occupation
Group in
Industry
(2015)

% of Total
Jobs in
Industry
(2015)

140

28.9%

14.0%

Crop Production

98

20.1%

12.8%

Federal Government, Civilian, Excluding Postal Service

40

8.3%

1.3%

Cheese Manufacturing

24

5.0%

2.7%

Dry, Condensed, and Evaporated Dairy Product Manufacturing

22

4.6%

2.6%

Industry

Animal Production and Aquaculture

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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