2015 OCT Electromechanical Technology Program Trends
Occupation Overview EMSI Q3 2015 Data Set December 2015 Electromechanical Technology Western Technical College 400 Seventh Street La Crosse, Wisconsin 54601 608.785.9200 EMSI Q3 2015 Data Set | www.economicmodeling.com 1 Parameters Occupations Code Description 17-2112 Industrial Engineers 17-3024 Electro-Mechanical Technicians 49-2094 Electrical and Electronics Repairers, Commercial and Industrial Equipment 49-9041 Industrial Machinery Mechanics 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 2015.3 – Employees Electromechanical Technologies 2015 (AED) in 8 Counties EMSI Q3 2015 Data Set | www.economicmodeling.com 2 17-2112 Industrial Engineers Electro-Mechanical Technicians Electrical and Electronics Repairers, Commercial and Industrial Equipment Industrial Machinery Mechanics 49-2094 49-9041 2016 2020 % Change Openings Annual Openings 7 Insf. Data 2% 47 12 Insf. Data <10 Insf. Data 3 10% <10 Insf. Data $24.62 325 39 14% 76 19 $22.58 688 49 8% 129 32 $29.16 2020 Jobs 316 323 <10 <10 30 33 286 639 Description 17-3024 2016 2020 Change 2016 Jobs SOC EMSI Q3 2015 Data Set | www.economicmodeling.com Median Hourly Earnings $35.10 Insf. Data 3 Occupation Summary for Electromechanical Technologies 2015 (AED) 624 7.7% $29.16/hr Jobs (2015) % Change (2016-2020) Median Hourly Earnings 5% below National average Nation: 4.4% Nation: $29.62/hr Growth 639 688 49 7.7% 2016 Jobs 2020 Jobs Change (2016-2020) % Change (2016-2020) Occupation Industrial Engineers (172112) Electro-Mechanical Technicians (17-3024) Electrical and Electronics Repairers, Commercial and Industrial Equipment (492094) Industrial Machinery Mechanics (49-9041) 2016 Jobs 2020 Jobs Change % Change 316 323 7 2% 7 7 0 0% 30 33 3 10% 286 325 39 14% EMSI Q3 2015 Data Set | www.economicmodeling.com 4 Percentile Earnings $24.48/hr $29.16/hr $34.60/hr 25th Percentile Earnings Median Earnings 75th Percentile Earnings 25th Percentile Earnings Median Earnings 75th Percentile Earnings Industrial Engineers (17-2112) $28.78 $35.10 $42.92 Electro-Mechanical Technicians (17-3024) $19.52 $23.35 $28.82 Electrical and Electronics Repairers, Commercial and Industrial Equipment (49-2094) $20.96 $24.62 $27.59 Industrial Machinery Mechanics (49-9041) $19.78 $22.58 $25.43 Occupation EMSI Q3 2015 Data Set | www.economicmodeling.com 5 Regional Trends Region 2016 Jobs 2020 Jobs Change % Change ● Region 639 688 49 7.7% ● State 17,532 18,154 622 3.5% ● Nation 663,544 692,816 29,272 4.4% ● Western Technical College District 639 688 49 7.7% Regional Breakdown County 2020 Jobs La Crosse County, WI 228 Monroe County, WI 149 Trempealeau County, WI 83 Juneau County, WI 76 Crawford County, WI 66 EMSI Q3 2015 Data Set | www.economicmodeling.com 6 Occupation Gender Breakdown Gender ● Males ● 2015 Jobs 2015 Percent Females 550 88.1% 74 11.9% Occupation Age Breakdown Age 2015 Jobs 2015 Percent ● 14-18 1 0.1% ● 19-24 27 4.3% ● 25-34 106 16.9% ● 35-44 129 20.6% ● 45-54 187 30.0% ● 55-64 154 24.7% ● 65+ 21 3.4% EMSI Q3 2015 Data Set | www.economicmodeling.com 7 Occupation Race/Ethnicity Breakdown Race/Ethnicity 2015 Jobs 2015 Percent ● White 592 94.9% ● Asian 17 2.7% ● Hispanic or Latino 8 1.2% ● Black or African American 4 0.6% ● Two or More Races 2 0.3% ● American Indian or Alaska Native 2 0.2% ● Native Hawaiian or Other Pacific Islander 0 0.0% Occupational Programs 2 22 44 Programs (2014) Completions (2014) Openings (2014) CIP Code Program 47.0105 Industrial Electronics Technology/Technician 47.0303 Industrial Mechanics and Maintenance Technology EMSI Q3 2015 Data Set | www.economicmodeling.com Completions (2014) 21 1 8 Industries Employing Electromechanical Technologies 2015 (AED) Occupation Group Jobs in Industry (2015) % of Occupation Group in Industry (2015) % of Total Jobs in Industry (2015) Nonupholstered Wood Household Furniture Manufacturing 32 5.1% 0.9% Air-Conditioning and Warm Air Heating Equipment and Commercial and Industrial Refrigeration Equipment Manufacturing 30 4.8% 2.0% Glass Product Manufacturing Made of Purchased Glass 26 4.2% 4.1% Dry, Condensed, and Evaporated Dairy Product Manufacturing 24 3.8% 2.6% All Other Miscellaneous Fabricated Metal Product Manufacturing 23 3.7% 2.6% Industry EMSI Q3 2015 Data Set | www.economicmodeling.com 9 Appendix A - Data Sources and Calculations 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. 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. 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. 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. 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. 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. 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 Q3 2015 Data Set | www.economicmodeling.com 10
