2014-June Medical Assistant Program Trends
Western Technical College 400 Seventh Street La Crosse, Wisconsin 54601 608.785.9200 Medical Assistant 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 Health Technologists and Technicians, All Other (29-2099) Medical Assistants (31-9092) Job Distribution Economic Modeling Specialists International | www.economicmodeling.com 2 Overview Annual Openings Estimate (2014) 32 Related Completions (2012) 112 Current Job Postings N/A for Multiple Codes Gender Male 12% Female 88% Age 14-18 0% 19-24 10% 25-44 51% 45-64 37% 65+ 2% -1.3% $15.20/hr Jobs (2014) % Change (2015-2019) Median Earnings National Location Quotient: 1.34 Nation: 9.1% Nation: $15.09/hr 940 Western Technical College District | Growth 942 930 -12 -1.3% 2015 Jobs 2019 Jobs Change (2015-2019) % Change (2015-2019) Economic Modeling Specialists International | www.economicmodeling.com 3 Occupation 2015 Jobs 2019 Jobs Change % Change Health Technologists and Technicians, All Other (29-2099) 181 198 17 9% Medical Assistants (31-9092) 762 732 -30 -4% Western Technical College District | Percentile Earnings $11.76/hr $15.20/hr $20.47/hr 10th Percentile Earnings Median Earnings 90th Percentile Earnings 10th Percentile Earnings Median Earnings 90th Percentile Earnings Health Technologists and Technicians, All Other (29-2099) $12.18 $17.09 $28.17 Medical Assistants (31-9092) $11.65 $14.71 $18.44 Occupation Economic Modeling Specialists International | www.economicmodeling.com 4 Regional Trends Region 2015 Jobs 2019 Jobs % Change 942 930 -1.3% ● Western Technical College District ● State 13,939 15,079 8.2% ● Nation 706,465 770,703 9.1% Educational programs 5 112 Programs (2012) Completions (2012) Program 2008 2009 2010 2011 2012 Medical/Clinical Assistant (51.0801) 37 37 31 51 92 Medical Administrative/Exec utive Assistant and Medical Secretary (51.0716) 0 0 0 7 16 Medical Insurance Coding Specialist/Coder (51.0713) 0 0 8 11 4 Electroneurodiagno stic/Electroencepha lographic Technology/Techno logist (51.0903) 0 18 10 0 0 Economic Modeling Specialists International | www.economicmodeling.com 5 Program 2008 2010 2011 2012 0 Allied Health and Medical Assisting Services, Other (51.0899) 2009 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) General Medical and Surgical Hospitals (Private) (622110) 369 39.3% 3.7% Offices of Physicians (except Mental Health Specialists) (621111) 355 37.8% 17.6% Offices of Chiropractors (621310) 69 7.3% 24.7% Offices of Optometrists (621320) 19 2.0% 16.5% Offices of Physicians, Mental Health Specialists (621112) 10 1.1% 17.1% 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
