2017 APR Landscape Horticulture Program Trends
Occupation Overview Emsi Q1 2017 Data Set April 2017 Western Technical College 400 Seventh Street La Crosse, Wisconsin 54601 608.785.9200 Emsi Q1 2017 Data Set | www.economicmodeling.com 1 Parameters Occupations Code Description 17-1012 Landscape Architects 19-4093 Forest and Conservation Technicians 37-1011 First-Line Supervisors of Housekeeping and Janitorial Workers 37-1012 First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers 37-3012 Pesticide Handlers, Sprayers, and Applicators, Vegetation 37-3013 Tree Trimmers and Pruners 37-3019 Grounds Maintenance Workers, All Other 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 2018 - 2022 Datarun 2017.1 – Employees Emsi Q1 2017 Data Set | www.economicmodeling.com 2 Emsi Q1 2017 Data Set | www.economicmodeling.com 3 Landscape Horticulture 2017 (AED) in Western Technical College District SOC 17-1012 19-4093 Description Landscape Architects Forest and Conservation Technicians 2018 Jobs 2022 Jobs 2018 2022 Change 2018 2022 % Change 2018 2022 Openings Annual Openings Median Hourly Earnings 22 23 1 5% <10 Insf. Data $23.69 81 81 0 0% 14 4 $18.13 121 122 1 1% <10 Insf. Data $18.89 37-1011 First-Line Supervisors of Housekeeping and Janitorial Workers 37-1012 First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers 34 35 1 3% <10 Insf. Data $23.20 37-3012 Pesticide Handlers, Sprayers, and Applicators, Vegetation 18 19 1 6% <10 Insf. Data $18.34 37-3013 Tree Trimmers and Pruners 14 15 1 7% <10 Insf. Data $17.15 37-3019 Grounds Maintenance Workers, All Other <10 <10 Insf. Data Insf. Data <10 Insf. Data Insf. Data 298 304 6 2% 36 9 $19.31 Emsi Q1 2017 Data Set | www.economicmodeling.com 4 Occupation Summary for Landscape Horticulture 2015 (AED) 292 2.0% $19.31/hr Jobs (2016) % Change (2018-2022) Median Hourly Earnings 30% below National average Nation: 3.6% Nation: $19.01/hr Growth 298 304 6 2.0% 2018 Jobs 2022 Jobs Change (2018-2022) % Change (2018-2022) Occupation 2018 Jobs 2022 Jobs Change % Change Landscape Architects (17-1012) 22 23 1 5% Forest and Conservation Technicians (19-4093) 81 81 0 0% First-Line Supervisors of Housekeeping and Janitorial Workers (37-1011) 121 122 1 1% First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers (37-1012) 34 35 1 3% Pesticide Handlers, Sprayers, and Applicators, Vegetation (37-3012) 18 19 1 6% Tree Trimmers and Pruners (37-3013) 14 15 1 7% 8 8 0 0% Grounds Maintenance Workers, All Other (37-3019) Percentile Earnings $15.49/hr $19.31/hr $23.69/hr 25th Percentile Earnings Median Earnings 75th Percentile Earnings Emsi Q1 2017 Data Set | www.economicmodeling.com 5 25th Percentile Earnings Median Earnings 75th Percentile Earnings Landscape Architects (17-1012) $19.24 $23.69 $30.66 Forest and Conservation Technicians (19-4093) $14.60 $18.13 $21.62 First-Line Supervisors of Housekeeping and Janitorial Workers (37-1011) $15.14 $18.89 $23.12 First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers (37-1012) $18.05 $23.20 $28.86 Pesticide Handlers, Sprayers, and Applicators, Vegetation (37-3012) $15.21 $18.34 $20.95 Tree Trimmers and Pruners (37-3013) $13.64 $17.15 $23.49 Grounds Maintenance Workers, All Other (37-3019) $13.40 $16.53 $20.99 Occupation Regional Trends Region ● 2018 Jobs 2022 Jobs Change % Change Region 298 304 6 2.0% Emsi Q1 2017 Data Set | www.economicmodeling.com 6 Region 2018 Jobs Wisconsin ● United States Change % Change 6,690 ● 2022 Jobs 6,885 195 2.9% 429,599 445,086 15,487 3.6% Regional Breakdown County 2022 Jobs La Crosse County, WI 149 Monroe County, WI 70 Trempealeau County, WI 22 Juneau County, WI 18 Vernon County, WI 15 Occupation Gender Breakdown Gender 2016 Jobs 2016 Percent ● Males 191 65.5% ● Females 101 34.5% Occupation Age Breakdown Age 2016 Jobs 2016 Percent ● 14-18 5 1.6% ● 19-24 31 10.5% ● 25-34 63 21.7% ● 35-44 52 17.9% ● 45-54 71 24.2% ● 55-64 56 19.2% Emsi Q1 2017 Data Set | www.economicmodeling.com 7 Age ● 2016 Jobs 2016 Percent 65+ 14 4.9% Occupation Race/Ethnicity Breakdown Race/Ethnicity ● White ● 2016 Jobs 2016 Percent 260 88.9% Hispanic or Latino 11 3.7% ● Black or African American 10 3.3% ● Asian 5 1.8% ● American Indian or Alaska Native 4 1.3% ● Two or More Races 3 1.0% ● Native Hawaiian or Other Pacific Islander 0 0.0% Occupational Programs 3 273 12 Programs (2015) Completions (2015) Openings (2015) CIP Code Program Completions (2015) 52.0201 Business Administration and Management, General 230 52.0299 Business Administration, Management and Operations, Other 29 01.0605 Landscaping and Groundskeeping 14 Industries Employing Landscape Horticulture 2015 (AED) Occupation Group Jobs in Industry (2016) % of Occupation Group in Industry (2016) % of Total Jobs in Industry (2016) Federal Government, Civilian, Excluding Postal Service 74 25.2% 2.4% Landscaping Services 30 10.2% 9.3% Industry Emsi Q1 2017 Data Set | www.economicmodeling.com 8 Race/Ethnicity 2016 Jobs 2016 Percent Local Government, Excluding Education and Hospitals 28 9.5% 0.3% Hotels (except Casino Hotels) and Motels 25 8.5% 1.6% Janitorial Services 19 6.4% 3.8% 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. 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 2017 Data Set | www.economicmodeling.com 9