2015 OCT Surgical Technology Program Trends
Occupation Overview EMSI Q2 2015 Data Set Surgical Technology Program October 2015 Western Technical College 400 Seventh Street La Crosse, Wisconsin 54601 608.785.9200 EMSI Q2 2015 Data Set | www.economicmodeling.com 1 Parameters Occupations Code Description 29-2055 Surgical Technologists 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 2015.2 – Employees Surgical Technology 2015 (AED) in 8 Counties Surgical Technologists (SOC 29-2055):Assist in operations, under the supervision of surgeons, registered nurses, or other surgical personnel. May help set up operating room, prepare and transport patients for surgery, adjust lights and equipment, pass instruments and other supplies to surgeons and surgeon's assistants, hold retractors, cut sutures, and help count sponges, needles, supplies, and instruments. Sample of Reported Job Titles: Operating Room Technician (OR Tech)Surgical TechnicianSurgical Scrub Technologist (Surgical Scrub Tech)Certified Surgical Technologist (CST)Surgical Technologist (Surgical Tech)Surgical Scrub TechnicianOperating Room Technologist (OR Tech)Operating Room Surgical Technician (OR St)Certified Surgical TechnicianCertified Surgical Tech/First Assistant Related O*NET Occupation: Surgical Technologists (29-2055.00) EMSI Q2 2015 Data Set | www.economicmodeling.com 2 2016 Jobs SOC Description 29-2055 Surgical Technologists 2020 Jobs 2016 2020 Change 2016 2020 % Change Openings Annual Openings Median Hourly Earnings 170 189 19 11% 27 7 $21.59 Occupation Summary for Surgical Technology 2015 (AED) 164 11.3% $21.59/hr Jobs (2015) % Change (2016-2020) Median Hourly Earnings 59% above National average Nation: 9.5% Nation: $20.84/hr Growth for Surgical Technologists (29-2055) 170 189 19 11.3% 2016 Jobs 2020 Jobs Change (2016-2020) % Change (2016-2020) EMSI Q2 2015 Data Set | www.economicmodeling.com 3 Percentile Earnings for Surgical Technologists (29-2055) $19.26/hr $21.59/hr $24.19/hr 25th Percentile Earnings Median Earnings 75th Percentile Earnings Regional Trends Region 2016 Jobs 2020 Jobs Change % Change ● Region 170 189 19 11.2% ● State 2,775 3,010 235 8.5% ● Nation 105,542 115,520 9,978 9.5% ● Western Technical College District 170 189 19 11.2% EMSI Q2 2015 Data Set | www.economicmodeling.com 4 Regional Breakdown County 2020 Jobs La Crosse County, WI 139 Monroe County, WI 14 Vernon County, WI 10 Trempealeau County, WI <10 Jackson County, WI <10 Occupation Gender Breakdown Gender ● Males ● Females 2015 Jobs 2015 Percent 40 24.4% 124 75.6% EMSI Q2 2015 Data Set | www.economicmodeling.com 5 Occupation Age Breakdown Age 2015 Jobs 2015 Percent ● 14-18 0 0.2% ● 19-24 18 11.1% ● 25-34 51 30.8% ● 35-44 36 22.0% ● 45-54 34 20.6% ● 55-64 22 13.5% ● 65+ 3 1.9% Occupation Race/Ethnicity Breakdown Race/Ethnicity 2015 Jobs 2015 Percent ● White 157 95.5% ● Asian 3 1.9% ● Hispanic or Latino 2 1.1% ● Black or African American 1 0.7% ● Two or More Races 1 0.4% ● American Indian or Alaska Native 0 0.2% ● Native Hawaiian or Other Pacific Islander 0 0.0% EMSI Q2 2015 Data Set | www.economicmodeling.com 6 National Educational Attainment Education Level 2015 Percent ● Less than high school diploma ● High school diploma or equivalent 25.3% ● Some college, no degree 34.4% ● Associate's degree 20.0% ● Bachelor's degree 15.9% ● Master's degree 1.6% ● Doctoral or professional degree 0.8% 2.0% Occupational Programs 2 8 7 Programs (2014) Completions (2014) Openings (2014) CIP Code Program Completions (2014) 51.1012 Sterile Processing Technology/Technician 8 51.0909 Surgical Technology/Technologist 0 Industries Employing Surgical Technology 2015 (AED) Occupation Jobs in Industry (2015) % of Occupation in Industry (2015) % of Total Jobs in Industry (2015) 137 83.6% 1.4% 15 9.4% 0.7% Offices of Dentists <10 1.9% 0.4% Offices of Physicians, Mental Health Specialists <10 1.2% 0.8% HMO Medical Centers <10 0.8% 2.2% Industry General Medical and Surgical Hospitals Offices of Physicians (except Mental Health Specialists) EMSI Q2 2015 Data Set | www.economicmodeling.com 7 Appendix A - Data Sources and Calculations 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. 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. 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. 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 Q2 2015 Data Set | www.economicmodeling.com 8
