2015 OCT Food Production Specialist Program Trends
2015 OCT Food Production Specialist Program Trends
Occupation Overview
EMSI Q2 2015 Data Set
Food Production Specialist 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
35-2013
Cooks, Private Household
35-2014
Cooks, Restaurant
35-2019
Cooks, All Other
35-2021
Food Preparation Workers
35-9099
Food Preparation and Serving Related 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
5 Occupations in 8 Counties
EMSI Q2 2015 Data Set | www.economicmodeling.com
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SOC
2016
Jobs
Description
2016 2020
Change
<10
<10
Insf. Data
702
30
788
32
643
2016 2020 %
Change
Openings
Annual
Openings
Median
Hourly
Earnings
35-2014
35-2019
35-2021
35-9099
0
0
86
2
Insf.
Data
12%
7%
149
<10
37
Insf. Data
Insf.
Data
$9.89
$12.03
673
30
5%
108
27
$9.46
41
44
3
7%
12
3
$9.12
1,417
35-2013
Cooks, Private
Household
Cooks, Restaurant
Cooks, All Other
Food Preparation
Workers
Food Preparation
and Serving
Related Workers,
All Other
2020
Jobs
1,538
121
9%
273
68
$9.71
Occupation Summary for 5 Occupations
1,384
8.5%
$9.71/hr
Jobs (2015)
% Change (2016-2020)
Median Hourly Earnings
35% below National average
Nation: 4.9%
Nation: $10.20/hr
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Growth
1,417
1,538
121
8.5%
2016 Jobs
2020 Jobs
Change (2016-2020)
% Change (2016-2020)
Occupation
2016 Jobs
2020 Jobs
Change
% Change
1
1
0
0%
702
788
86
12%
Cooks, All Other (35-2019)
30
32
2
7%
Food Preparation Workers
(35-2021)
643
673
30
5%
41
44
3
7%
Cooks, Private Household
(35-2013)
Cooks, Restaurant
(35-2014)
Food Preparation and
Serving Related Workers, All
Other (35-9099)
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Percentile Earnings
$8.60/hr
$9.71/hr
$11.32/hr
25th Percentile Earnings
Median Earnings
75th Percentile Earnings
25th Percentile
Earnings
Median Earnings
75th Percentile
Earnings
Cooks, Private Household
(35-2013)
$9.09
$10.31
$14.59
Cooks, Restaurant (35-2014)
$8.64
$9.89
$11.23
Cooks, All Other (35-2019)
$10.01
$12.03
$13.86
Food Preparation Workers
(35-2021)
$8.52
$9.46
$11.32
Food Preparation and Serving
Related Workers, All Other
(35-9099)
$8.23
$9.12
$10.75
Occupation
EMSI Q2 2015 Data Set | www.economicmodeling.com
5
Regional Trends
Region
2016 Jobs
2020 Jobs
Change
% Change
●
Region
1,417
1,538
121
8.5%
●
State
33,221
35,275
2,054
6.2%
●
Nation
2,143,669
2,248,096
104,427
4.9%
●
Western Technical College
District
1,417
1,538
121
8.5%
Regional Breakdown
County
2020 Jobs
La Crosse County, WI
835
Monroe County, WI
175
Vernon County, WI
119
Juneau County, WI
113
Trempealeau County, WI
112
EMSI Q2 2015 Data Set | www.economicmodeling.com
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Occupation Gender Breakdown
Gender
2015 Jobs 2015 Percent
●
Males
704
50.9%
●
Females
679
49.1%
Occupation Age Breakdown
Age
2015 Jobs 2015 Percent
●
14-18
256
18.5%
●
19-24
354
25.6%
●
25-34
259
18.7%
●
35-44
164
11.8%
●
45-54
181
13.1%
●
55-64
119
8.6%
●
65+
51
3.7%
EMSI Q2 2015 Data Set | www.economicmodeling.com
7
Occupation Race/Ethnicity Breakdown
Race/Ethnicity
●
White
●
2015 Jobs 2015 Percent
1,223
88.4%
Hispanic or Latino
57
4.1%
●
Asian
41
3.0%
●
Black or African American
39
2.8%
●
Two or More Races
15
1.1%
●
American Indian or Alaska Native
8
0.6%
●
Native Hawaiian or Other Pacific Islander
1
0.0%
Occupational Programs
1
4
66
Programs (2014)
Completions (2014)
Openings (2014)
CIP Code
Program
12.0505
Food Preparation/Professional
Cooking/Kitchen Assistant
EMSI Q2 2015 Data Set | www.economicmodeling.com
Completions (2014)
4
8
Industries Employing 5 Occupations
Occupation
Group Jobs
in Industry
(2015)
% of
Occupation
Group in
Industry
(2015)
% of Total
Jobs in
Industry
(2015)
Full-Service Restaurants
659
47.6%
13.7%
Limited-Service Restaurants
145
10.5%
4.6%
Supermarkets and Other Grocery (except Convenience) Stores
123
8.9%
5.9%
Food Service Contractors
45
3.3%
9.3%
Hotels (except Casino Hotels) and Motels
41
3.0%
2.8%
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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