<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20231206</CreaDate>
<CreaTime>10421600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">perc_withInternet</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\DESKTOP-3NIS9O2\C$\Users\cdeal\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\TX_ESL_102623\Default.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/3.1.0'&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;999999999.99999988&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="20231206" Time="104216" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures layer_B28002_001E_CT "C:\Users\cdeal\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\TX_ESL_102623\Default.gdb\layer_B28002_001E_CT_copy" # # # #</Process>
<Process Date="20231206" Time="104237" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddField">AddField layer_B28002_001E_CT_copy totHousehold_check "Long (32-bit integer)" # # # # NULLABLE NON_REQUIRED #</Process>
<Process Date="20231206" Time="104239" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField layer_B28002_001E_CT_copy totHousehold_check "!B28002_001E! - !S1602_C01_001E!" "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20231206" Time="104240" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddField">AddField layer_B28002_001E_CT_copy perc_withInternet "Long (32-bit integer)" # # # # NULLABLE NON_REQUIRED #</Process>
<Process Date="20231206" Time="104244" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField layer_B28002_001E_CT_copy perc_withInternet (!B28002_004E!/!B28002_001E!)*100 "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20231206" Time="104245" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\AddField">AddField layer_B28002_001E_CT_copy perc_limEnglish "Long (32-bit integer)" # # # # NULLABLE NON_REQUIRED #</Process>
<Process Date="20231206" Time="104246" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField layer_B28002_001E_CT_copy perc_limEnglish (!S1602_C03_001E!/!B28002_001E!)*100 "Python 3" # Text NO_ENFORCE_DOMAINS</Process>
<Process Date="20231206" Time="104248" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures layer_B28002_001E_CT_copy "C:\Users\cdeal\OneDrive - American Institutes for Research in the Behavioral Sciences\Documents\ArcGIS\Projects\TX_ESL_102623\Default.gdb\perc_withInternet" # # # #</Process>
</lineage>
</DataProperties>
<SyncDate>20231206</SyncDate>
<SyncTime>10424800</SyncTime>
<ModDate>20231206</ModDate>
<ModTime>10424800</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.1.3.41833</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">perc_withInternet_Houston</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>ESL</keyword>
</searchKeys>
<idPurp>created by Caitlin Deal
pushed online 12/7/2023
Census Tracts
from ACS - percent with internet access</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<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="perc_withInternet">
<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="perc_withInternet">
<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="perc_withInternet">
<enttyp>
<enttypl Sync="TRUE">perc_withInternet</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">tractce</attrlabl>
<attalias Sync="TRUE">TRACTCE</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">6</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">11</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">7</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">20</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">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">id_new</attrlabl>
<attalias Sync="TRUE">ID_new</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">s1602_c03_001e</attrlabl>
<attalias Sync="TRUE">S1602_C03_001E</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">s1602_c01_001e</attrlabl>
<attalias Sync="TRUE">S1602_C01_001E</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">b28002_004e</attrlabl>
<attalias Sync="TRUE">B28002_004E</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">b28002_001e</attrlabl>
<attalias Sync="TRUE">B28002_001E</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">tractfips</attrlabl>
<attalias Sync="TRUE">TRACTFIPS</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">state_x</attrlabl>
<attalias Sync="TRUE">state_x</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">county_x</attrlabl>
<attalias Sync="TRUE">county_x</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">tract_x</attrlabl>
<attalias Sync="TRUE">tract_x</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">totHousehold_check</attrlabl>
<attalias Sync="TRUE">totHousehold_check</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">perc_withInternet</attrlabl>
<attalias Sync="TRUE">perc_withInternet</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">perc_limEnglish</attrlabl>
<attalias Sync="TRUE">perc_limEnglish</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">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">20231206</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
