2014-18 Culinary Management-Program Trends
Western Technical College 400 Seventh Street La Crosse, Wisconsin 54601 608.785.9200 Culinary Management Program Occupation Report Western Technical College District Economic Modeling Specialists International | www.economicmodeling.com 1 Report Info Dataset Version 2013.4 Class of Worker Class of Worker Categories QCEW Employees + Non-QCEW Employees + Self-Employed Timeframe 2014 - 2018 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 Food Service Managers (11-9051) Chefs and Head Cooks (35-1011) First-Line Supervisors of Food Preparation and Serving Workers (35-1012) Cooks, Institution and Cafeteria (35-2012) Cooks, Private Household (35-2013) Cooks, Restaurant (35-2014) Cooks, All Other (35-2019) Job Distribution Economic Modeling Specialists International | www.economicmodeling.com 2 Overview Annual Openings Estimate (2013) 99 Related Completions (2011) 9 Current Job Postings N/A for Multiple Codes Gender Male 50% Female 50% Age 14-18 7% 19-24 19% 25-44 40% 45-64 30% 65+ 3% 4.4% $12.30/hr Jobs (2013) % Change (2014-2018) Median Earnings National Location Quotient: 0.89 Nation: 4.5% Nation: $12.90/hr 2,564 Western Technical College District | Growth 2,597 2,711 115 4.4% 2014 Jobs 2018 Jobs Change (2014-2018) % Change (2014-2018) Economic Modeling Specialists International | www.economicmodeling.com 3 Occupation 2014 Jobs 2018 Jobs Change % Change Food Service Managers (11-9051) 329 313 -16 -5% Cooks, Restaurant (35-2014) 884 950 66 7% 23 24 1 4% Chefs and Head Cooks (35-1011) 113 114 1 1% Cooks, Institution and Cafeteria (35-2012) 525 551 26 5% First-Line Supervisors of Food Preparation and Serving Workers (35-1012) 721 758 37 5% 1 2 1 100% Cooks, All Other (35-2019) Cooks, Private Household (35-2013) Western Technical College District | Percentile Earnings $8.84/hr $12.30/hr $18.35/hr 10th Percentile Earnings Median Earnings 90th Percentile Earnings 10th Percentile Earnings Median Earnings 90th Percentile Earnings $11.25 $16.62 $26.44 $7.77 $9.47 $14.17 Cooks, All Other (35-2019) $13.53 $17.64 $26.22 Chefs and Head Cooks (35-1011) $10.59 $17.39 $29.57 Occupation Food Service Managers (11-9051) Cooks, Restaurant (35-2014) Economic Modeling Specialists International | www.economicmodeling.com 4 10th Percentile Earnings Median Earnings 90th Percentile Earnings Cooks, Institution and Cafeteria (35-2012) $9.03 $12.14 $15.92 First-Line Supervisors of Food Preparation and Serving Workers (35-1012) $8.41 $12.80 $19.30 Cooks, Private Household (35-2013) $8.15 $10.66 $17.28 Occupation Regional Trends Region ● Western Technical College District ● State ● Nation 2014 Jobs 2018 Jobs % Change 2,597 2,711 4.4% 48,234 50,148 4.0% 2,822,463 2,950,067 4.5% Economic Modeling Specialists International | www.economicmodeling.com 5 Educational programs 3 9 Programs (2011) Completions (2011) Program 2008 2009 2010 2011 2012 Restaurant, Culinary, and Catering Management/Mana ger (12.0504) 4 6 9 7 9 Food Preparation/Profess ional Cooking/Kitchen Assistant (12.0505) 5 2 6 2 4 Restaurant/Food Services Management (52.0905) 0 0 0 0 0 Inverse Staffing Patterns Occupation Group Jobs in Industry (2013) % of Occupation Group in Industry (2013) % of Total Jobs in Industry (2013) Full-Service Restaurants (722110) 978 38.1% 20.0% Limited-Service Restaurants (722211) 336 13.1% 9.3% Elementary and Secondary Schools (Local Government) (903611) 161 6.3% 2.1% Drinking Places (Alcoholic Beverages) (722410) 139 5.4% 8.5% Food Service Contractors (722310) 124 4.9% 27.4% Industry Economic Modeling Specialists International | www.economicmodeling.com 6 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 7
