2014-18 ECET-Program Trends
Western Technical College 400 Seventh Street La Crosse, Wisconsin 54601 608.785.9200 Electronic and Computer Engineering Technology 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 Computer Hardware Engineers (17-2061) Electronics Engineers, Except Computer (17-2072) Electrical and Electronics Drafters (17-3012) Electrical and Electronics Engineering Technicians (17-3023) Telecommunications Equipment Installers and Repairers, Except Line Installers (49-2022) Electrical and Electronics Repairers, Powerhouse, Substation, and Relay (49-2095) Job Distribution Overview Annual Openings Estimate (2013) 14 Related Completions (2011) 34 Current Job Postings N/A for Multiple Codes Gender Male Female 92% 8% Age 14-18 0% 19-24 3% 25-44 43% 45-64 53% 65+ 1% Economic Modeling Specialists International | www.economicmodeling.com 2 308 6.0% $28.34/hr Jobs (2013) % Change (2014-2018) Median Earnings National Location Quotient: 0.46 Nation: 2.1% Nation: $33.57/hr Western Technical College District | Growth 314 333 19 6.0% 2014 Jobs 2018 Jobs Change (2014-2018) % Change (2014-2018) Occupation 2014 Jobs 2018 Jobs Change % Change Computer Hardware Engineers (17-2061) 10 12 2 20% Electronics Engineers, Except Computer (17-2072) 34 37 3 9% Electrical and Electronics Drafters (17-3012) 11 11 0 0% Electrical and Electronics Engineering Technicians (17-3023) 70 69 -1 -1% Telecommunications Equipment Installers and Repairers, Except Line Installers (49-2022) 176 191 15 9% Electrical and Electronics Repairers, Powerhouse, Substation, and Relay (49-2095) 13 12 -1 -8% Economic Modeling Specialists International | www.economicmodeling.com 3 Western Technical College District | Percentile Earnings $19.18/hr $28.34/hr $39.33/hr 10th Percentile Earnings Median Earnings 90th Percentile Earnings 10th Percentile Earnings Median Earnings 90th Percentile Earnings Computer Hardware Engineers (17-2061) $28.31 $38.35 $50.93 Electronics Engineers, Except Computer (17-2072) $39.83 $58.82 $87.07 Electrical and Electronics Drafters (17-3012) $12.51 $16.39 $21.92 Electrical and Electronics Engineering Technicians (17-3023) $19.01 $26.24 $34.40 Telecommunications Equipment Installers and Repairers, Except Line Installers (49-2022) $14.82 $22.96 $32.33 Electrical and Electronics Repairers, Powerhouse, Substation, and Relay (49-2095) $22.77 $34.18 $40.73 Occupation Economic Modeling Specialists International | www.economicmodeling.com 4 Regional Trends Region 2014 Jobs Nation 333 6.0% 9,048 2.6% 641,665 State ● 314 655,351 2.1% Western Technical College District ● % Change 8,822 ● 2018 Jobs Educational programs 4 34 Programs (2011) Completions (2011) Program 2008 2009 2010 2011 2012 Electrician (46.0302) 0 2 7 19 5 Electrical, Electronic and Communications Engineering Technology/Techni cian (15.0303) 1 2 1 8 0 Computer Engineering Technology/Techni cian (15.1201) 1 3 5 7 6 Industrial Electronics Technology/Techni cian (47.0105) 0 0 0 0 24 Economic Modeling Specialists International | www.economicmodeling.com 5 Region 2014 Jobs 2018 Jobs % Change Occupation Group Jobs in Industry (2013) % of Occupation Group in Industry (2013) % of Total Jobs in Industry (2013) Wired Telecommunications Carriers (517110) 71 23.1% 28.3% Electrical Contractors and Other Wiring Installation Contractors (238210) 30 9.8% 5.7% Cable and Other Subscription Programming (515210) 28 9.0% 31.3% Fossil Fuel Electric Power Generation (221112) 20 6.6% 3.7% Federal Government, Civilian, Excluding Postal Service (901199) 14 4.5% 0.5% Inverse Staffing Patterns 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
