Occupational Therapy Assistant Occupation Overview Emsi Q1 2018 Data Set March 2018 Western Technical College 400 Seventh Street La Crosse, Wisconsin 54601 608.785.9200 Emsi Q1 2018 Data Set www.economicmodeling.com 1
Parameters Occupations Code Description 31-2011 Occupational Therapy Assistants 31-2012 Occupational Therapy Aides Regions Code Description 55011 Buffalo 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 2019-2023 Datarun 2018.1 QCEW Employees, Non-QCEW Employees, and Self-Employed Emsi Q1 2018 Data Set www.economicmodeling.com 2
HPS 105141 OCTA in Western District Emsi Q1 2018 Data Set www.economicmodeling.com 3
Occupation Summary for HPS 105141 OCTA 58 6.9% $21.10/hr Jobs (2019) % Change (2019-2023) Median Hourly Earnings 19% above National average Nation: 12.1% Nation: $26.75/hr Emsi Q1 2018 Data Set www.economicmodeling.com 4
Growth 58 62 4 6.9% 2019 Jobs 2023 Jobs Change (2019-2023) % Change (2019-2023) Occupation 2019 Jobs 2023 Jobs Change % Change Occupational Therapy Assistants (31-2011) Occupational Therapy Aides (31-2012) 54 58 4 7% 4 4 0 0% Emsi Q1 2018 Data Set www.economicmodeling.com 5
Percentile Earnings $17.19/hr $21.10/hr $23.90/hr 25th Percentile Earnings Median Earnings 75th Percentile Earnings Occupation 25th Percentile Earnings Median Earnings 75th Percentile Earnings Occupational Therapy Assistants (31-2011) Occupational Therapy Aides (31-2012) $17.94 $21.49 $24.10 $13.12 $13.54 $16.27 Emsi Q1 2018 Data Set www.economicmodeling.com 6
Regional Trends Region 2019 Jobs 2023 Jobs Change % Change Region 58 62 4 6.9% Nation 52,150 58,449 6,299 12.1% Emsi Q1 2018 Data Set www.economicmodeling.com 7
Regional Breakdown County 2023 Jobs La Crosse County, WI 44 Jackson County, WI <10 Monroe County, WI <10 Vernon County, WI <10 Trempealeau County, WI <10 Emsi Q1 2018 Data Set www.economicmodeling.com 8
Occupation Gender Breakdown Gender 2017 Jobs 2017 Percent Males 6 10.1% Females 49 89.9% Emsi Q1 2018 Data Set www.economicmodeling.com 9
Occupation Age Breakdown Age 2017 Jobs 2017 Percent 14-18 0 0.1% 19-24 4 7.2% 25-34 16 29.7% 35-44 14 25.4% 45-54 12 21.7% 55-64 8 14.6% 65+ 1 1.4% Emsi Q1 2018 Data Set www.economicmodeling.com 10
Occupation Race/Ethnicity Breakdown Race/Ethnicity 2017 Jobs 2017 Percent White 53 97.6% Asian 0 0.8% Black or African American 0 0.5% Hispanic or Latino 0 0.5% Two or More Races 0 0.5% American Indian or Alaska Native 0 0.0% Native Hawaiian or Other Pacific Islander 0 0.0% Emsi Q1 2018 Data Set www.economicmodeling.com 11
Occupational Programs 2 13 8 Programs (2016) Completions (2016) Openings (2016) CIP Code Program Completions (2016) 51.0803 Occupational Therapist Assistant 13 51.2604 Rehabilitation Aide 0 Emsi Q1 2018 Data Set www.economicmodeling.com 12
Industries Employing HPS 105141 OCTA Industry Occupation Group Jobs in Industry (2017) % of Occupation Group in Industry (2017) % of Total Jobs in Industry (2017) Offices of Physical, Occupational and Speech Therapists, and Audiologists 18 32.7% 7.5% General Medical and Surgical Hospitals 16 30.0% 0.2% Nursing Care Facilities (Skilled Nursing Facilities) 12 21.6% 0.6% Elementary and Secondary Schools (Local Government) <10 3.3% 0.0% Offices of Physicians (except Mental Health Specialists) <10 2.2% 0.1% Emsi Q1 2018 Data Set www.economicmodeling.com 13
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. 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. 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 Q1 2018 Data Set www.economicmodeling.com 14