<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20170818</CreaDate>
<CreaTime>12030800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Population Not Served Food Desert areas for Potential improvement of Food availability for disadvantaged communities. Layers 
 This data was compiled as part of Josphat Mutunga's Master Thesis for the University of Redlands program in  2017.

This layer represents the Block groups that met USDA criteria for &amp;quot;Food Deserts&amp;quot; minus the area where Food Stores are within .3 miles.
 Food Desert Criteria: Median Income Level equal or less than 80% of Riverside's overall Median Household Income ( 2016 = $54,444);
 Thus, Households at or below $43,000 represent the population live outside  0.3 miles from food stores.  Food Store Criteria including Retail food sources as well as Food Pantries and Farmers Markets. ( Community Gardens were not included as they are only accessible to members of the garden or have restricted access due to being located on School properties). The derived Fields used to display the Food Desert uses number of Households not served.</idAbs>
<searchKeys>
<keyword>Agriculture</keyword>
<keyword> demographics</keyword>
<keyword> Food deserts</keyword>
<keyword> Food Secuirty</keyword>
<keyword> GrowRiverside</keyword>
</searchKeys>
<idPurp>Food Desert Areas are defined by the Number of Households Not served with that area.
This was derived removing the areas within walking distance of  .3 miles.areas from the Low Income block groups that meet the USDA Criteria noted below.</idPurp>
<idCredit>USDA Food Desert Criteria, ESRI, UOR</idCredit>
<resConst>
<Consts>
<useLimit>Please Cite City of Riverside, 2017 </useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>