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Adult Education Location Analysis in LA County
by
Lu Lu
Instructor: Leo F. EstradaTA:Nic Jay Aulston&: Peter Capone-Newton
IntroductionFocus: Adult Edu location and its Target PeopleAnalysis: A-Edu & Umempolyed A-Edu & Low-Edu A-Edu & Low Income A-Edu & Pub-Transit AccessibilityData Source2000 US Census2005-2009 American Community SurveyCA Department of EducationLA Adult Instructions
StructureStep1 •A-Edu Center Locations in LA County
Step2•A-Edu and Unemployed people•A-Edu and Low-educated people•A-Edu and Low-income people
Step 3 •Transit Accessibility Analysis
Step4 •Further Studies
Skills: Inset-map, Geocoding, Charts or image
Demographic Stats:Area(sq mi): 4,060.87Population: 9,848,011Density: 2,344.1
Los Angeles County Basics
Why adult education matters in LA county?Higher unemployment rate here12.7% LA County12.3% CA9.1% All USMore people having a lower education69.9% LA 76.8% CAPoorer People Here15.3% LA 13.3% CA
Part 2 A-Edu and Its Target People1. A-Edu and Unemployed people2. A-Edu and Low Educated people & . A-Edu and
Low-Income people
A-Edu and Unemployed people
A higher unemployment rate
in the northeast part, far from the
A-Edu centers.
Skills: Geocoding, Charts or image, Graduated colors, Selection by Attributes
A-Edu& Low Education A-Edu& Low HH Income
The graduated colors show a regional imbalanced distribution of both low-educated people and poor people in LA County.
Skills: Geocoding, Charts or image, Graduated colors,
Part3 Spatial Analysis & Transit Accessibility Analysis 1. Analyzing people within 2-mile buffer of A-Edu
Centers in LA County2. Analyzing people within 0.5-mile buffer of Transit
line to LA A-Edu Centers
People within 2-mile buffer of A-Edu Centers
Skills: Geocoding, Charts or image, Graduated colors, Buffering
Transit Accessibility AnalysisSkills: Geocoding, Charts or image, Graduated colors, Buffering, Selection by location
Transit Accessibility AnalysisSkills: Geocoding, Charts or image, Graduated colors, Buffering, Selection by location
Transit Accessibility AnalysisSkills: Geocoding, Charts or image, Graduated colors, Buffering, Selection by location
Further StudiesFinding an index to integrate all three
variablesDoing hotspot analysis to find area
demanding more education resources