2015 OCT Medical Administrative Professional Program Trends
Occupation Overview EMSI Q3 2015 Data Set December 2015 Medical Administrative Professional 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 31-9094 Medical Transcriptionists 31-9099 Healthcare Support Workers, All Other 43-1011 First-Line Supervisors of Office and Administrative Support Workers 43-6011 Executive Secretaries and Executive Administrative Assistants 43-6013 Medical Secretaries 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 Medical Administrative Professional 2015 (AED) in 8 Counties EMSI Q3 2015 Data Set | www.economicmodeling.com 2 2016 Jobs 2020 Jobs 2016 2020 Change 2016 - 2020 % Change Openings Annual Openings Median Hourly Earnings Medical Transcriptionists 156 155 (1) (1%) 13 3 $17.77 31-9099 Healthcare Support Workers, All Other 117 125 8 7% 17 4 $16.45 43-1011 First-Line Supervisors of Office and Administrative Support Workers 1,224 1,304 80 7% 201 50 $20.43 43-6011 Executive Secretaries and Executive Administrative Assistants 359 366 7 2% 26 7 $20.46 43-6013 Medical Secretaries 758 799 41 5% 81 20 $15.57 2,613 2,749 136 5% 339 85 $18.71 SOC Description 31-9094 EMSI Q3 2015 Data Set | www.economicmodeling.com 3 Occupation Summary for Medical Administrative Professional 2015 (AED) 2,566 5.2% $18.71/hr Jobs (2015) % Change (2016-2020) Median Hourly Earnings 12% below National average Nation: 4.6% Nation: $22.40/hr Growth 2,613 2,749 0 0.0% 2016 Jobs 2020 Jobs Change (2016-2020) % Change (2016-2020) Occupation 2016 Jobs 2020 Jobs Change % Change Medical Transcriptionists (31-9094) 156 155 -1 -1% Healthcare Support Workers, All Other (319099) 117 125 8 7% 1,224 1,304 80 7% Executive Secretaries and Executive Administrative Assistants (43-6011) 359 366 7 2% Medical Secretaries (436013) 758 799 41 5% First-Line Supervisors of Office and Administrative Support Workers (43-1011) EMSI Q3 2015 Data Set | www.economicmodeling.com 4 Percentile Earnings $15.12/hr $18.71/hr $22.93/hr 25th Percentile Earnings Median Earnings 75th Percentile Earnings 25th Percentile Earnings Median Earnings 75th Percentile Earnings Medical Transcriptionists (319094) $15.54 $17.77 $20.37 Healthcare Support Workers, All Other (31-9099) $13.08 $16.45 $19.64 First-Line Supervisors of Office and Administrative Support Workers (43-1011) $15.70 $20.43 $26.21 Executive Secretaries and Executive Administrative Assistants (43-6011) $16.99 $20.46 $24.74 Medical Secretaries (43-6013) $13.48 $15.57 $17.71 Occupation EMSI Q3 2015 Data Set | www.economicmodeling.com 5 Regional Trends Region 2016 Jobs 2020 Jobs Change % Change ● Region 2,613 2,749 136 5.2% ● State 52,481 55,004 2,523 4.8% ● Nation 2,983,815 3,120,008 136,193 4.6% ● Western Technical College District 2,613 2,749 136 5.2% Regional Breakdown County 2020 Jobs La Crosse County, WI 1,720 Monroe County, WI 283 Trempealeau County, WI 171 Vernon County, WI 155 Crawford County, WI 133 EMSI Q3 2015 Data Set | www.economicmodeling.com 6 Occupation Gender Breakdown Gender ● Males ● 2015 Jobs 2015 Percent Females 443 17.3% 2,123 82.7% Occupation Age Breakdown Age 2015 Jobs 2015 Percent ● 14-18 9 0.4% ● 19-24 152 5.9% ● 25-34 478 18.6% ● 35-44 545 21.2% ● 45-54 686 26.7% ● 55-64 578 22.5% ● 65+ 119 4.6% EMSI Q3 2015 Data Set | www.economicmodeling.com 7 Occupation Race/Ethnicity Breakdown Race/Ethnicity ● White ● 2015 Jobs 2015 Percent 2,459 95.8% Hispanic or Latino 31 1.2% ● Black or African American 30 1.2% ● Asian 27 1.1% ● Two or More Races 10 0.4% ● American Indian or Alaska Native 8 0.3% ● Native Hawaiian or Other Pacific Islander 0 0.0% Occupational Programs 7 76 95 Programs (2014) Completions (2014) Openings (2014) CIP Code Program 52.0204 Office Management and Supervision 32 51.0814 Radiologist Assistant 25 52.0401 Administrative Assistant and Secretarial Science, General 11 51.0716 Medical Administrative/Executive Assistant and Medical Secretary 7 51.2604 Rehabilitation Aide 1 EMSI Q3 2015 Data Set | www.economicmodeling.com Completions (2014) 8 Industries Employing Medical Administrative Professional 2015 (AED) Occupation Group Jobs in Industry (2015) % of Occupation Group in Industry (2015) % of Total Jobs in Industry (2015) General Medical and Surgical Hospitals 444 17.3% 4.6% Offices of Physicians (except Mental Health Specialists) 352 13.7% 16.7% Local Government, Excluding Education and Hospitals 115 4.5% 1.4% Commercial Banking 105 4.1% 7.5% 89 3.5% 4.3% Industry Corporate, Subsidiary, and Regional Managing Offices 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
