HUMA HUSAIN UP206A – WINTER 2011 FINAL PROJECT Childcare in LA County.
Transcript of HUMA HUSAIN UP206A – WINTER 2011 FINAL PROJECT Childcare in LA County.
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HUMA HUSAINUP206A – WINTER 2011
FINAL PROJECT
Childcare in LA County
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Policy Questions
Are there any under-served communities with respect to licensed child care?
Where could new licensed facilities be most
beneficial?
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Methodology
Map all licensed child care facilities in LA County
Locate communities that have a high level of need and do not live within walking distance of child care
Determine an optimal location for new licensed facilities based on proximity to homes and schools
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Child Care Centers in L.A.
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Variables Used to Determine Need
# of children under 5 years old
# of household that don’t own a car
proximity to a licensed child care center
median household income
# of families with children living in poverty
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# of Children Under 5 Median Household Income
# of Families Below Poverty
# of Households with No Car
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Index of Need
Need =
2 x (Proximity) +
2 x (No Car) +
2 x (# of Kids) +
(Median Income) +
(Poverty)
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Child Care Centers and Need
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Areas within walking distance of child care
½ mile buffer = 10 min walk
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Focus Area: Littlerock
• # Children under 5 years old = 1,044
• Capacity of Childcare Center: 30 children
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Model: Converting Variables to Raster Files
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Model: Reclassifying Variables
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Metadata
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Skills/Requirements
Inset Maps – locating LA County and Littlerock
Attribute Sub-Select – selecting residential landuse parcels from landuse shapefile
Boundary Sub-Select – selecting schools and daycare centers in Littlerock area
Buffering – created walking distance buffers around child care centers
Geoprocessing – clipping street, landuse and census tract layers to Littlerock area
Geocoding – mapped xy coordinates for child care facilities in LA County
Modeling – used models to convert shapefiles to raster files and reclassify variables
Metadata – created for original child care data
Measurement/Analysis – using buffer tool to measure distance
Hotspot Analysis – created an index using spatial analyst to find hotspots (highest-need areas)
Spatial Analysis – created a ‘distance to daycare’ variable using euclidian distance, used raster calculator to derive index
7-Layer Map – map of Littlerock with census tracts, child care centers, schools, index and buffers
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Sources
SimplyMap income, household vehicles, population
UCLA Mapshare schools, streets, census tracts
American Fact Finder poverty