<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250609</CreaDate>
<CreaTime>15003900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">etl_household_no_computer</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\DESKTOP-U5L8MMI\C$\Users\mecoffee\OneDrive - AIR\Documents\ArcGIS\Projects\East Texas Literacy\East Texas Literacy.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Geographic</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
<peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'&gt;&lt;WKT&gt;GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4269]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;1111948722.2222221&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;8.983152841195215e-09&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4269&lt;/WKID&gt;&lt;LatestWKID&gt;4269&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20250609" Time="150039" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures tl_2024_us_county "C:\Users\mecoffee\OneDrive - AIR\Documents\ArcGIS\Projects\East Texas Literacy\East Texas Literacy.gdb\BANANA" # NOT_USE_ALIAS "STATEFP "STATEFP" true true false 2 Text 0 0,First,#,tl_2024_us_county,STATEFP,0,1;COUNTYFP "COUNTYFP" true true false 3 Text 0 0,First,#,tl_2024_us_county,COUNTYFP,0,2;COUNTYNS "COUNTYNS" true true false 8 Text 0 0,First,#,tl_2024_us_county,COUNTYNS,0,7;GEOID "GEOID" true true false 5 Text 0 0,First,#,tl_2024_us_county,GEOID,0,4;GEOIDFQ "GEOIDFQ" true true false 14 Text 0 0,First,#,tl_2024_us_county,GEOIDFQ,0,13;NAME "NAME" true true false 100 Text 0 0,First,#,tl_2024_us_county,NAME,0,99;NAMELSAD "NAMELSAD" true true false 100 Text 0 0,First,#,tl_2024_us_county,NAMELSAD,0,99;LSAD "LSAD" true true false 2 Text 0 0,First,#,tl_2024_us_county,LSAD,0,1;CLASSFP "CLASSFP" true true false 2 Text 0 0,First,#,tl_2024_us_county,CLASSFP,0,1;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,tl_2024_us_county,MTFCC,0,4;CSAFP "CSAFP" true true false 3 Text 0 0,First,#,tl_2024_us_county,CSAFP,0,2;CBSAFP "CBSAFP" true true false 5 Text 0 0,First,#,tl_2024_us_county,CBSAFP,0,4;METDIVFP "METDIVFP" true true false 5 Text 0 0,First,#,tl_2024_us_county,METDIVFP,0,4;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,tl_2024_us_county,FUNCSTAT,0,0;ALAND "ALAND" true true false 14 Double 0 14,First,#,tl_2024_us_county,ALAND,-1,-1;AWATER "AWATER" true true false 14 Double 0 14,First,#,tl_2024_us_county,AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,tl_2024_us_county,INTPTLAT,0,10;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,tl_2024_us_county,INTPTLON,0,11" #</Process>
<Process Date="20250609" Time="151902" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures BANANA "C:\Users\mecoffee\OneDrive - AIR\Documents\ArcGIS\Projects\East Texas Literacy\East Texas Literacy.gdb\etl_household_no_computer" # NOT_USE_ALIAS "STATEFP "STATEFP" true true false 2 Text 0 0,First,#,BANANA,BANANA.STATEFP,0,1;COUNTYFP "COUNTYFP" true true false 3 Text 0 0,First,#,BANANA,BANANA.COUNTYFP,0,2;COUNTYNS "COUNTYNS" true true false 8 Text 0 0,First,#,BANANA,BANANA.COUNTYNS,0,7;GEOID "GEOID" true true false 5 Text 0 0,First,#,BANANA,BANANA.GEOID,0,4;GEOIDFQ "GEOIDFQ" true true false 14 Text 0 0,First,#,BANANA,BANANA.GEOIDFQ,0,13;NAME "NAME" true true false 100 Text 0 0,First,#,BANANA,BANANA.NAME,0,99;NAMELSAD "NAMELSAD" true true false 100 Text 0 0,First,#,BANANA,BANANA.NAMELSAD,0,99;LSAD "LSAD" true true false 2 Text 0 0,First,#,BANANA,BANANA.LSAD,0,1;CLASSFP "CLASSFP" true true false 2 Text 0 0,First,#,BANANA,BANANA.CLASSFP,0,1;MTFCC "MTFCC" true true false 5 Text 0 0,First,#,BANANA,BANANA.MTFCC,0,4;CSAFP "CSAFP" true true false 3 Text 0 0,First,#,BANANA,BANANA.CSAFP,0,2;CBSAFP "CBSAFP" true true false 5 Text 0 0,First,#,BANANA,BANANA.CBSAFP,0,4;METDIVFP "METDIVFP" true true false 5 Text 0 0,First,#,BANANA,BANANA.METDIVFP,0,4;FUNCSTAT "FUNCSTAT" true true false 1 Text 0 0,First,#,BANANA,BANANA.FUNCSTAT,0,0;ALAND "ALAND" true true false 8 Double 0 0,First,#,BANANA,BANANA.ALAND,-1,-1;AWATER "AWATER" true true false 8 Double 0 0,First,#,BANANA,BANANA.AWATER,-1,-1;INTPTLAT "INTPTLAT" true true false 11 Text 0 0,First,#,BANANA,BANANA.INTPTLAT,0,10;INTPTLON "INTPTLON" true true false 12 Text 0 0,First,#,BANANA,BANANA.INTPTLON,0,11;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,BANANA,BANANA.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,BANANA,BANANA.Shape_Area,-1,-1;OBJECTID "ObjectID" false true false 4 Long 0 9,First,#,BANANA,banana_ExportTable.OBJECTID,-1,-1;GEOID "GEOID" true true false 255 Text 0 0,First,#,BANANA,banana_ExportTable.GEOID,0,254;County_Name "County_Name" true true false 255 Text 0 0,First,#,BANANA,banana_ExportTable.County_Name,0,254;variable "variable" true true false 255 Text 0 0,First,#,BANANA,banana_ExportTable.variable,0,254;estimate "estimate" true true false 8 Double 0 0,First,#,BANANA,banana_ExportTable.estimate,-1,-1;moe "moe" true true false 8 Double 0 0,First,#,BANANA,banana_ExportTable.moe,-1,-1;variable_name "variable_name" true true false 255 Text 0 0,First,#,BANANA,banana_ExportTable.variable_name,0,254;total_households "total_households" true true false 8 Double 0 0,First,#,BANANA,banana_ExportTable.total_households,-1,-1;Geo_Level "Geo_Level" true true false 255 Text 0 0,First,#,BANANA,banana_ExportTable.Geo_Level,0,254;estimate_type "estimate_type" true true false 255 Text 0 0,First,#,BANANA,banana_ExportTable.estimate_type,0,254" #</Process>
</lineage>
</DataProperties>
<SyncDate>20250609</SyncDate>
<SyncTime>15190200</SyncTime>
<ModDate>20250609</ModDate>
<ModTime>15190200</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.4.0.55405</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">etl_household_no_computer</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>ETL</keyword>
</searchKeys>
<idPurp>6.9.2025</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4269"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.5(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="etl_household_no_computer">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="etl_household_no_computer">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="etl_household_no_computer">
<enttyp>
<enttypl Sync="TRUE">etl_household_no_computer</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">STATEFP</attrlabl>
<attalias Sync="TRUE">STATEFP</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">COUNTYFP</attrlabl>
<attalias Sync="TRUE">COUNTYFP</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">3</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">COUNTYNS</attrlabl>
<attalias Sync="TRUE">COUNTYNS</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GEOID</attrlabl>
<attalias Sync="TRUE">GEOID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GEOIDFQ</attrlabl>
<attalias Sync="TRUE">GEOIDFQ</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">14</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NAME</attrlabl>
<attalias Sync="TRUE">NAME</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">NAMELSAD</attrlabl>
<attalias Sync="TRUE">NAMELSAD</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LSAD</attrlabl>
<attalias Sync="TRUE">LSAD</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CLASSFP</attrlabl>
<attalias Sync="TRUE">CLASSFP</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">MTFCC</attrlabl>
<attalias Sync="TRUE">MTFCC</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CSAFP</attrlabl>
<attalias Sync="TRUE">CSAFP</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">3</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CBSAFP</attrlabl>
<attalias Sync="TRUE">CBSAFP</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">METDIVFP</attrlabl>
<attalias Sync="TRUE">METDIVFP</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">FUNCSTAT</attrlabl>
<attalias Sync="TRUE">FUNCSTAT</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ALAND</attrlabl>
<attalias Sync="TRUE">ALAND</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">AWATER</attrlabl>
<attalias Sync="TRUE">AWATER</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">INTPTLAT</attrlabl>
<attalias Sync="TRUE">INTPTLAT</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">11</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">INTPTLON</attrlabl>
<attalias Sync="TRUE">INTPTLON</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">12</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">OBJECTID_1</attrlabl>
<attalias Sync="TRUE">ObjectID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">GEOID_1</attrlabl>
<attalias Sync="TRUE">GEOID</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">County_Name</attrlabl>
<attalias Sync="TRUE">County_Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">variable</attrlabl>
<attalias Sync="TRUE">variable</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">estimate</attrlabl>
<attalias Sync="TRUE">estimate</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">moe</attrlabl>
<attalias Sync="TRUE">moe</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">variable_name</attrlabl>
<attalias Sync="TRUE">variable_name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">total_households</attrlabl>
<attalias Sync="TRUE">total_households</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Geo_Level</attrlabl>
<attalias Sync="TRUE">Geo_Level</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">estimate_type</attrlabl>
<attalias Sync="TRUE">estimate_type</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20250609</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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=</Data>
</Thumbnail>
</Binary>
</metadata>
