2014-June Agribusiness Science Technology Program Trends
Western Technical College 400 Seventh Street La Crosse, Wisconsin 54601 608.785.9200 Agribusiness/Science Technology Program Occupation Report June 2014 Western Technical College District Economic Modeling Specialists International | www.economicmodeling.com 1 Report Info Dataset Version 2014.2 Class of Worker Class of Worker Categories QCEW Employees + Non-QCEW Employees + Self-Employed Timeframe 2015 - 2019 Region Name Western Technical College District Region Description Western district counties Counties Buffalo, WI (55011) Crawford, WI (55023) Jackson, WI (55053) Juneau, WI (55057) La Crosse, WI (55063) Monroe, WI (55081) Trempealeau, WI (55121) Vernon, WI (55123) Occupation Group Farmers, Ranchers, and Other Agricultural Managers (11-9013) Buyers and Purchasing Agents, Farm Products (13-1021) Food Scientists and Technologists (19-1012) Soil and Plant Scientists (19-1013) Agricultural and Food Science Technicians (19-4011) First-Line Supervisors of Farming, Fishing, and Forestry Workers (45-1011) Agricultural Inspectors (45-2011) Graders and Sorters, Agricultural Products (45-2041) Economic Modeling Specialists International | www.economicmodeling.com 2 Job Distribution Overview Annual Openings Estimate (2014) 80 Related Completions (2012) 25 Current Job Postings N/A for Multiple Codes Gender Male 79% Female 21% Age 14-18 1% 19-24 5% 25-44 27% 45-64 47% 65+ 20% -0.1% $14.47/hr Jobs (2014) % Change (2015-2019) Median Earnings National Location Quotient: 3.97 Nation: -6.1% Nation: $14.66/hr 2,783 Economic Modeling Specialists International | www.economicmodeling.com 3 Western Technical College District | Growth 2,786 2,782 -4 -0.1% 2015 Jobs 2019 Jobs Change (2015-2019) % Change (2015-2019) Occupation 2015 Jobs 2019 Jobs Change % Change Buyers and Purchasing Agents, Farm Products (13-1021) 15 15 0 0% Food Scientists and Technologists (19-1012) 27 29 2 7% Agricultural and Food Science Technicians (19-4011) 67 70 3 4% 2,433 2,421 -12 0% Soil and Plant Scientists (19-1013) 23 23 0 0% Agricultural Inspectors (45-2011) 53 53 0 0% First-Line Supervisors of Farming, Fishing, and Forestry Workers (45-1011) 90 91 1 1% Graders and Sorters, Agricultural Products (45-2041) 77 80 3 4% Farmers, Ranchers, and Other Agricultural Managers (11-9013) Western Technical College District | Percentile Earnings Economic Modeling Specialists International | www.economicmodeling.com 4 Occupation 2015 Jobs 2019 Jobs Change % Change $11.17/hr $14.47/hr $17.50/hr 10th Percentile Earnings Median Earnings 90th Percentile Earnings 10th Percentile Earnings Median Earnings 90th Percentile Earnings $9.17 $14.71 $22.34 Food Scientists and Technologists (19-1012) $10.68 $18.78 $27.35 Agricultural and Food Science Technicians (19-4011) $10.48 $14.97 $22.31 Farmers, Ranchers, and Other Agricultural Managers (11-9013) $11.24 $14.19 $16.67 Soil and Plant Scientists (19-1013) $16.51 $26.01 $37.56 Agricultural Inspectors (45-2011) $9.82 $16.03 $20.83 First-Line Supervisors of Farming, Fishing, and Forestry Workers (45-1011) $11.79 $19.81 $27.17 Graders and Sorters, Agricultural Products (45-2041) $8.77 $10.63 $16.08 Occupation Buyers and Purchasing Agents, Farm Products (13-1021) Economic Modeling Specialists International | www.economicmodeling.com 5 Regional Trends Region 2015 Jobs 2019 Jobs % Change 2,786 2,782 -0.1% ● Western Technical College District ● State 30,736 29,039 -5.5% ● Nation 666,127 625,533 -6.1% Economic Modeling Specialists International | www.economicmodeling.com 6 Educational programs 3 25 Programs (2012) Completions (2012) Program 2008 2009 2010 2011 2012 Farm/Farm and Ranch Management (01.0104) 0 1 28 37 19 Agricultural/Farm Supplies Retailing and Wholesaling (01.0105) 0 0 0 0 6 Agricultural Business and Management, Other (01.0199) 0 0 0 0 0 Inverse Staffing Patterns Occupation Group Jobs in Industry (2014) % of Occupation Group in Industry (2014) % of Total Jobs in Industry (2014) Animal Production (112000) 1,297 46.6% 59.1% Crop Production (111000) 1,202 43.2% 62.4% Federal Government, Civilian, Excluding Postal Service (901199) 44 1.6% 1.4% Cheese Manufacturing (311513) 25 0.9% 2.6% Dry, Condensed, and Evaporated Dairy Product Manufacturing (311514) 19 0.7% 2.4% Industry Economic Modeling Specialists International | www.economicmodeling.com 7 Data Sources and Calculations State Data Sources This report uses state data from the following agencies: Wisconsin Department of Workforce Development, Bureau of Workforce Information 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. 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. Economic Modeling Specialists International | www.economicmodeling.com 8
