Program Overview Logistics, Materials, and Supply Chain Management in Los Angeles County, CA

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Program Overview Logistics, Materials, and Supply Chain Management in Los Angeles County, CA Emsi Q3 2016 Data Set October 2016 1900 Pico Blvd. Santa Monica, California 90405 310.434.4040 Emsi Q3 2016 Data Set www.economicmodeling.com Page 1/8

Parameters Programs Code Description 52.0203 Logistics, Materials, and Supply Chain Management Emsi Q3 2016 Data Set www.economicmodeling.com Page 2/8

Program Summary for Logistics, Materials, and Supply Chain Management 8 108 385 Regional Institutions Regional Program Completions Annual Openings had Completions in the last 13 years Regional Trends Region 2003 Completions 2014 Completions % Change A Region 0 108 N/A B State 18 325 1,705.6% C Nation 2,819 5,816 106.3% Emsi Q3 2016 Data Set www.economicmodeling.com Page 3/8

Regional Completions by Award Level Award Level Completions Percent A Award of less than 1 academic year 46 42.6% A Associates degree 8 7.4% A Postbaccalaureate certificate 38 35.2% A Masters degree 16 14.8% Award of at least 1 but less than 2 academic years Award of at least 2 but less than 4 academic years 0 0.0% 0 0.0% Bachelors degree 0 0.0% Post-masters certificate 0 0.0% Doctors degree 0 0.0% Regional Completions by Institution Institution Certificates Degrees Total Completions East Los Angeles College 46 3 49 University of Southern California 38 0 38 California State University-Long Beach 0 16 16 Santa Monica College 0 3 3 Fashion Institute of Design & Merchandising-Los Angeles 0 2 2 California State University-Los Angeles 0 0 0 Los Angeles City College 0 0 0 Rio Hondo College 0 0 0 Emsi Q3 2016 Data Set www.economicmodeling.com Page 4/8

Similar Programs 5 13,277 Programs Completions CIP Code Program Completions 52.0201 Business Administration and Management, General 11,449 52.0101 Business/Commerce, General 959 44.0401 Public Administration 867 49.0104 Aviation/Airway Management and Operations 2 52.0205 Operations Management and Supervision 0 Target Occupations 9,894 +6.7% $39.12/hr Jobs (2016) % Change (2014-2019) Median Hourly Earnings 10% above National average Nation: +8.2% Nation: $37.64/hr Occupation 2014 Jobs Annual Openings Median Hourly Earnings Growth (2014-2019) Location Quotient Transportation, Storage, and Distribution Managers 5,663 260 $37.79/hr +10.70% 1.34 Logisticians 3,880 64 $41.12/hr +0.90% 0.89 Emsi Q3 2016 Data Set www.economicmodeling.com Page 5/8

Growth 9,543 10,184 641 6.7% 2014 Jobs 2019 Jobs Change (2014-2019) % Change (2014-2019) Occupation 2014 Jobs 2019 Jobs Change % Change Transportation, Storage, and Distribution Managers (11-3071) 5,663 6,269 606 11% Logisticians (13-1081) 3,880 3,915 35 1% Emsi Q3 2016 Data Set www.economicmodeling.com Page 6/8

Percentile Earnings $31.01/hr $39.12/hr $48.42/hr 25th Percentile Earnings Median Earnings 75th Percentile Earnings Occupation 25th Percentile Earnings Median Earnings 75th Percentile Earnings Transportation, Storage, and Distribution Managers (11-3071) $30.95 $37.79 $47.42 Logisticians (13-1081) $31.11 $41.12 $49.94 Emsi Q3 2016 Data Set www.economicmodeling.com Page 7/8

Appendix A - Data Sources and Calculations 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. 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. State Data Sources This report uses state data from the following agencies: California Labor Market Information Department Emsi Q3 2016 Data Set www.economicmodeling.com Page 8/8