<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20230602</CreaDate>
<CreaTime>15371800</CreaTime>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">Moratorium</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">-90.244123</westBL>
<eastBL Sync="TRUE">-89.682229</eastBL>
<southBL Sync="TRUE">30.226569</southBL>
<northBL Sync="TRUE">30.464109</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemSize Sync="TRUE">0.031</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/3.3.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Louisiana_South_FIPS_1702_Feet&amp;quot;,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]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,3280833.333333333],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-91.33333333333333],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,29.3],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,30.7],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,28.5],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,3452]]&lt;/WKT&gt;&lt;XOrigin&gt;-124791100&lt;/XOrigin&gt;&lt;YOrigin&gt;-91255500&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&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;WKID&gt;102682&lt;/WKID&gt;&lt;LatestWKID&gt;3452&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Louisiana_South_FIPS_1702_Feet</projcsn>
</coordRef>
</DataProperties>
<SyncDate>20250424</SyncDate>
<SyncTime>11393600</SyncTime>
<ModDate>20260825</ModDate>
<ModTime>9335700</ModTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>Item Description</ArcGISstyle>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<idinfo>
<citation>
<citeinfo>
<onlink Sync="FALSE">withheld</onlink>
<origin>REQUIRED: The name of an organization or individual that developed the data set.</origin>
<pubdate>REQUIRED: The date when the data set is published or otherwise made available for release.</pubdate>
<title Sync="TRUE">moratoriums0910212</title>
<ftname Sync="TRUE">moratoriums0910212</ftname>
<geoform Sync="TRUE">vector digital data</geoform>
</citeinfo>
</citation>
<native Sync="FALSE">ESRI ArcCatalog 9.3.1.4000</native>
<descript>
<langdata Sync="TRUE">en</langdata>
<abstract>REQUIRED: A brief narrative summary of the data set.</abstract>
<purpose>REQUIRED: A summary of the intentions with which the data set was developed.</purpose>
</descript>
<timeperd>
<current>REQUIRED: The basis on which the time period of content information is determined.</current>
<timeinfo>
<sngdate>
<caldate>REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground.</caldate>
</sngdate>
</timeinfo>
</timeperd>
<status>
<progress>REQUIRED: The state of the data set.</progress>
<update>REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed.</update>
</status>
<spdom>
<bounding>
<westbc Sync="TRUE">-90.246418</westbc>
<eastbc Sync="TRUE">-89.678188</eastbc>
<northbc Sync="TRUE">30.526864</northbc>
<southbc Sync="TRUE">30.220738</southbc>
</bounding>
<lboundng>
<leftbc Sync="TRUE">3624090.089773</leftbc>
<rightbc Sync="TRUE">3801984.521150</rightbc>
<bottombc Sync="TRUE">629520.268450</bottombc>
<topbc Sync="TRUE">738735.715721</topbc>
</lboundng>
</spdom>
<keywords>
<theme>
<themekt>REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.</themekt>
<themekey>REQUIRED: Common-use word or phrase used to describe the subject of the data set.</themekey>
</theme>
</keywords>
<accconst>REQUIRED: Restrictions and legal prerequisites for accessing the data set.</accconst>
<useconst>REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted.</useconst>
<natvform Sync="TRUE">Shapefile</natvform>
</idinfo>
<distInfo>
<distributor>
<distorTran>
<onLineSrc>
<linkage Sync="FALSE">withheld</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
<orDesc Sync="TRUE">002</orDesc>
</onLineSrc>
<transSize Sync="TRUE">0.052</transSize>
</distorTran>
<distorFormat>
<formatName Sync="TRUE">Shapefile</formatName>
</distorFormat>
</distributor>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.031</transSize>
</distTranOps>
</distInfo>
<dataqual>
<lineage>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20050714</date>
<time Sync="TRUE">17042700</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20050720</date>
<time Sync="TRUE">14093400</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20051109</date>
<time Sync="TRUE">09223800</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20051109</date>
<time Sync="TRUE">10512900</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20051220</date>
<time Sync="TRUE">08365200</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20060120</date>
<time Sync="TRUE">08521400</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20060209</date>
<time Sync="TRUE">13325200</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20060320</date>
<time Sync="TRUE">08405100</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20060412</date>
<time Sync="TRUE">09542500</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20060523</date>
<time Sync="TRUE">11334300</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20060620</date>
<time Sync="TRUE">11341400</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20061012</date>
<time Sync="TRUE">12094400</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20061012</date>
<time Sync="TRUE">12291600</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20061019</date>
<time Sync="TRUE">15330600</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20061212</date>
<time Sync="TRUE">09444600</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070207</date>
<time Sync="TRUE">10290900</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070207</date>
<time Sync="TRUE">11182000</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070209</date>
<time Sync="TRUE">09211100</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070308</date>
<time Sync="TRUE">13251700</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070410</date>
<time Sync="TRUE">08533800</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070507</date>
<time Sync="TRUE">11131300</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070613</date>
<time Sync="TRUE">09064500</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070716</date>
<time Sync="TRUE">16183100</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070807</date>
<time Sync="TRUE">10055300</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<date Sync="TRUE">20070917</date>
<time Sync="TRUE">09414700</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20071005</date>
<time Sync="TRUE">10570300</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20071010</date>
<time Sync="TRUE">14573200</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20071105</date>
<time Sync="TRUE">14514100</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20071108</date>
<time Sync="TRUE">08231700</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20071211</date>
<time Sync="TRUE">10284600</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080122</date>
<time Sync="TRUE">13021800</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080225</date>
<time Sync="TRUE">15495700</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080312</date>
<time Sync="TRUE">08510500</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080408</date>
<time Sync="TRUE">15525900</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080505</date>
<time Sync="TRUE">14234100</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080707</date>
<time Sync="TRUE">09331800</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080811</date>
<time Sync="TRUE">09050800</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080828</date>
<time Sync="TRUE">16163900</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset moved.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080828</date>
<time Sync="TRUE">16175700</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080917</date>
<time Sync="TRUE">09274400</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20080925</date>
<time Sync="TRUE">16044600</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20081006</date>
<time Sync="TRUE">09315000</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20081008</date>
<time Sync="TRUE">09493200</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20081209</date>
<time Sync="TRUE">15062700</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20081209</date>
<time Sync="TRUE">15355200</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090123</date>
<time Sync="TRUE">08382000</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset moved.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090123</date>
<time Sync="TRUE">08390800</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset moved.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090123</date>
<time Sync="TRUE">09293600</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090210</date>
<time Sync="TRUE">10323300</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset moved.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090210</date>
<time Sync="TRUE">10331600</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090311</date>
<time Sync="TRUE">12070300</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090406</date>
<time Sync="TRUE">09090200</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090508</date>
<time Sync="TRUE">13430100</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090512</date>
<time Sync="TRUE">08582000</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090610</date>
<time Sync="TRUE">14580800</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090708</date>
<time Sync="TRUE">08451000</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090812</date>
<time Sync="TRUE">08594300</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20090910</date>
<time Sync="TRUE">14524000</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<date Sync="TRUE">20091005</date>
<time Sync="TRUE">08591300</time>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20091113</procdate>
<proctime Sync="TRUE">15265100</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20091208</procdate>
<proctime Sync="TRUE">10151200</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100111</procdate>
<proctime Sync="TRUE">09042700</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100210</procdate>
<proctime Sync="TRUE">09012400</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100309</procdate>
<proctime Sync="TRUE">13483600</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100407</procdate>
<proctime Sync="TRUE">11094100</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100510</procdate>
<proctime Sync="TRUE">15444800</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100608</procdate>
<proctime Sync="TRUE">15505800</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100628</procdate>
<proctime Sync="TRUE">12511300</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100720</procdate>
<proctime Sync="TRUE">11132900</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100812</procdate>
<proctime Sync="TRUE">09450300</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20100908</procdate>
<proctime Sync="TRUE">12561000</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20101008</procdate>
<proctime Sync="TRUE">13374400</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20101108</procdate>
<proctime Sync="TRUE">12593900</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20101207</procdate>
<proctime Sync="TRUE">08484900</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110112</procdate>
<proctime Sync="TRUE">15314400</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset moved.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110112</procdate>
<proctime Sync="TRUE">15322300</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110207</procdate>
<proctime Sync="TRUE">15290900</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110309</procdate>
<proctime Sync="TRUE">08525800</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110412</procdate>
<proctime Sync="TRUE">08513900</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110509</procdate>
<proctime Sync="TRUE">09110500</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110606</procdate>
<proctime Sync="TRUE">09152400</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110711</procdate>
<proctime Sync="TRUE">08400300</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110811</procdate>
<proctime Sync="TRUE">10055000</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20110907</procdate>
<proctime Sync="TRUE">11151400</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20111011</procdate>
<proctime Sync="TRUE">09450000</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20111108</procdate>
<proctime Sync="TRUE">10081500</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20111205</procdate>
<proctime Sync="TRUE">15431000</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20120117</procdate>
<proctime Sync="TRUE">13354100</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20120206</procdate>
<proctime Sync="TRUE">16390900</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20120307</procdate>
<proctime Sync="TRUE">11104100</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20120507</procdate>
<proctime Sync="TRUE">09333300</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20120614</procdate>
<proctime Sync="TRUE">13343200</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20120713</procdate>
<proctime Sync="TRUE">13213000</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20120723</procdate>
<proctime Sync="TRUE">13214400</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20120803</procdate>
<proctime Sync="TRUE">12460600</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20120912</procdate>
<proctime Sync="TRUE">14441100</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20121011</procdate>
<proctime Sync="TRUE">08362700</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20121105</procdate>
<proctime Sync="TRUE">15562000</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20121212</procdate>
<proctime Sync="TRUE">12020300</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130110</procdate>
<proctime Sync="TRUE">10020900</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130214</procdate>
<proctime Sync="TRUE">14321300</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130401</procdate>
<proctime Sync="TRUE">12304000</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130409</procdate>
<proctime Sync="TRUE">09540300</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130506</procdate>
<proctime Sync="TRUE">08322400</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130607</procdate>
<proctime Sync="TRUE">14272100</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130712</procdate>
<proctime Sync="TRUE">15402500</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130802</procdate>
<proctime Sync="TRUE">15490900</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130909</procdate>
<proctime Sync="TRUE">10582000</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20130909</procdate>
<proctime Sync="TRUE">14185700</proctime>
</procstep>
<procstep>
<procdesc Sync="TRUE">Dataset copied.</procdesc>
<srcused Sync="FALSE">withheld</srcused>
<procdate Sync="TRUE">20131008</procdate>
<proctime Sync="TRUE">10484400</proctime>
</procstep>
</lineage>
</dataqual>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.3.0.52636</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">Current Moratoriums</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="native">
<westBL Sync="TRUE">3624090.089773</westBL>
<eastBL Sync="TRUE">3801984.52115</eastBL>
<northBL Sync="TRUE">738735.715721</northBL>
<southBL Sync="TRUE">629520.26845</southBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</GeoBndBox>
</geoEle>
</dataExt>
<geoBox esriExtentType="decdegrees">
<westBL Sync="TRUE">-90.246418</westBL>
<eastBL Sync="TRUE">-89.678188</eastBL>
<northBL Sync="TRUE">30.526864</northBL>
<southBL Sync="TRUE">30.220738</southBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</geoBox>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-90.244123</westBL>
<eastBL Sync="TRUE">-89.682229</eastBL>
<northBL Sync="TRUE">30.464109</northBL>
<southBL Sync="TRUE">30.226569</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>This layer represents areas of the unincorporated parish where the acceptance of certain types of applications or the issuance of certain types of building permits are not allowed. These areas are established by the Parish Ordinance and are updated every six (6) months via Council Resolution. It is updated as needed by the Parish Planning &amp; Development Staff.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN STYLE="font-weight:bold;font-size:16pt"&gt;CURRENT MORATORIUMS&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN&gt;ARTICLE XVI. - MORATORIUMS&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN&gt;Areas of the unincorporated parish where the acceptance of certain types of applications or the issuance of certain types of building permits are not allowed.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN&gt;Delay in acceptance of certain types of applications or the issuance of certain types of building permits.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>©2026 St. Tammany Parish Government - Planning and Development Department - Carl Cleland (ccleland@stpgov.org)
©2026 St. Tammany Parish Government - GIS Division of the Department of Technology (gis@stpgov.org)
Last Updated 8/21/2026</idCredit>
<searchKeys>
<keyword>moratoriums</keyword>
<keyword>planning</keyword>
<keyword>council</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN STYLE="font-weight:bold;font-size:8pt"&gt;For planning purposes only. It is not a legally recorded plan, survey, official tax map or engineering schematic, and it is not intended to be used as such.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Center;"&gt;&lt;SPAN STYLE="font-size:8pt"&gt;©2026 St. Tammany Parish Government - GIS Division of the Department of Technology&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<metainfo>
<langmeta Sync="TRUE">en</langmeta>
<metstdn Sync="TRUE">FGDC Content Standards for Digital Geospatial Metadata</metstdn>
<metstdv Sync="TRUE">FGDC-STD-001-1998</metstdv>
<mettc Sync="TRUE">local time</mettc>
<metc>
<cntinfo>
<cntorgp>
<cntper>REQUIRED: The person responsible for the metadata information.</cntper>
<cntorg>REQUIRED: The organization responsible for the metadata information.</cntorg>
</cntorgp>
<cntaddr>
<addrtype>REQUIRED: The mailing and/or physical address for the organization or individual.</addrtype>
<city>REQUIRED: The city of the address.</city>
<state>REQUIRED: The state or province of the address.</state>
<postal>REQUIRED: The ZIP or other postal code of the address.</postal>
</cntaddr>
<cntvoice>REQUIRED: The telephone number by which individuals can speak to the organization or individual.</cntvoice>
</cntinfo>
</metc>
<metd Sync="TRUE">20120918</metd>
</metainfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdStanName Sync="TRUE">ISO 19115 Geographic Information - Metadata</mdStanName>
<mdStanVer Sync="TRUE">DIS_ESRI1.0</mdStanVer>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<distinfo>
<resdesc Sync="TRUE">Downloadable Data</resdesc>
<stdorder>
<digform>
<digtinfo>
<transize Sync="TRUE">0.052</transize>
<dssize Sync="TRUE">0.052</dssize>
</digtinfo>
</digform>
</stdorder>
</distinfo>
<spdoinfo>
<direct Sync="TRUE">Vector</direct>
<ptvctinf>
<esriterm Name="Moratorium">
<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>
<spref>
<horizsys>
<cordsysn>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Louisiana_South_FIPS_1702_Feet</projcsn>
</cordsysn>
<geodetic>
<horizdn Sync="TRUE">North American Datum of 1983</horizdn>
<ellips Sync="TRUE">Geodetic Reference System 80</ellips>
<semiaxis Sync="TRUE">6378137.000000</semiaxis>
<denflat Sync="TRUE">298.257222</denflat>
</geodetic>
</horizsys>
</spref>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3452">NAD_1983_StatePlane_Louisiana_South_FIPS_1702_Feet</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">8.9.3(10.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Moratorium">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="Moratorium">
<enttyp>
<enttypl Sync="FALSE">Moratorium</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">10</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">8</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">name</attrlabl>
<attalias Sync="TRUE">name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Date_Adopt</attrlabl>
<attalias Sync="TRUE">Date_Adopt</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Date_Expir</attrlabl>
<attalias Sync="TRUE">Date_Expir</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Ord_CS</attrlabl>
<attalias Sync="TRUE">Ord_CS</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Ord_Cal</attrlabl>
<attalias Sync="TRUE">Ord_Cal</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">15</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">District</attrlabl>
<attalias Sync="TRUE">District</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">Notes</attrlabl>
<attalias Sync="TRUE">Notes</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Type</attrlabl>
<attalias Sync="TRUE">Type</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">144</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">MID</attrlabl>
<attalias Sync="TRUE">MID</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">Exemptions</attrlabl>
<attalias Sync="TRUE">Exemptions</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STArea()</attrlabl>
<attalias Sync="TRUE">Shape.STArea()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape.STLength()</attrlabl>
<attalias Sync="TRUE">Shape.STLength()</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20260825</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEBLAEsAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
