2014-June Practical Nursing Program Trends
Western Technical College 400 Seventh Street La Crosse, Wisconsin 54601 608.785.9200 Practical Nursing 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) Licensed Practical and Licensed Vocational Nurses SOC 29-2061: Care for ill, injured, or convalescing patients or persons with disabilities in hospitals, nursing homes, clinics, private homes, group homes, and similar institutions. May work under the supervision of a registered nurse. Licensing required. Related O*NET Occupations: Licensed Practical and Licensed Vocational Nurses (29-2061.00) Job Distribution Economic Modeling Specialists International | www.economicmodeling.com 2 Overview Annual Openings Estimate (2014) 32 Related Completions (2012) 73 Current Job Postings 28 Gender Male 9% Female 91% Age 14-18 0% 19-24 8% 25-44 37% 45-64 50% 65+ 5% 10.7% $18.95/hr Jobs (2014) % Change (2015-2019) Median Earnings National Location Quotient: 0.78 Nation: 8.4% Nation: $20.00/hr 610 Western Technical College District | Growth for Licensed Practical and Licensed Vocational Nurses (29-2061) 626 693 67 10.7% 2015 Jobs 2019 Jobs Change (2015-2019) % Change (2015-2019) Economic Modeling Specialists International | www.economicmodeling.com 3 Western Technical College District | Percentile Earnings for Licensed Practical and Licensed Vocational Nurses (29-2061) $15.51/hr $18.95/hr $23.74/hr 10th Percentile Earnings Median Earnings 90th Percentile Earnings Educational Attainment (National) Doctoral or professional degree 0% Master's degree 1% Bachelor's degree 4% Associate's degree 17% Some college, no degree 58% High school diploma or equivalent 19% Less than high school diploma 1% Economic Modeling Specialists International | www.economicmodeling.com 4 Regional Trends Region 2015 Jobs 2019 Jobs % Change 626 693 10.7% ● Western Technical College District ● State 11,680 12,712 8.8% ● Nation 783,880 849,508 8.4% Educational programs 1 73 Programs (2012) Completions (2012) Program 2008 2009 2010 2011 2012 59 93 85 88 73 Economic Modeling Specialists International | www.economicmodeling.com 5 Licensed Practical/Vocational Nurse Training (51.3901) Inverse Staffing Patterns Occupation Jobs in Industry (2014) % of Occupation in Industry (2014) % of Total Jobs in Industry (2014) Nursing Care Facilities (623110) 204 33.4% 8.8% General Medical and Surgical Hospitals (Private) (622110) 155 25.4% 1.6% Offices of Physicians (except Mental Health Specialists) (621111) 56 9.2% 2.8% Federal Government, Civilian, Excluding Postal Service (901199) 32 5.2% 1.0% Homes for the Elderly (623312) 24 3.9% 4.0% 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
