<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20211212</CreaDate>
<CreaTime>11195300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>ChildDayCare400FtBuffer</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>Charlotte</keyword>
<keyword>Mecklenburg County</keyword>
<keyword>North Carolina</keyword>
<keyword>USA</keyword>
<keyword>Planning</keyword>
<keyword>Neighborhood Services</keyword>
<keyword>Setback Distance</keyword>
<keyword>Daycare</keyword>
<keyword>Child Daycare</keyword>
<keyword>Single-Family Daycare</keyword>
<keyword>Buffer</keyword>
</searchKeys>
<idPurp>This dataset was generated to publish a geospatial inventory of day cares in Mecklenburg County, NC. This data serves to support and assist the Charlotte Planning, Design &amp;amp; Development Department, The City of Charlotte, and others in Urban Planning decisions. Day care location and a 400ft buffer are regulated under Charlotte Zoning Code Section 12 Part Five. This dataset includes attributes such as name of the facilities, addresses, licenses types, demerits, sanitation, etc. The public can acquire a copy of the Charlotte Zoning Code for Special Requirement for Certain Uses by following the link below, selecting Chapter 12, and navigating to Section Five.http://charlottenc.gov/planning/Rezoning/Pages/Zoning%20Ordinance.aspx</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
