<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220401</CreaDate>
<CreaTime>14111500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>village_with_8_poverty_criterias song</resTitle>
</idCitation>
<searchKeys>
<keyword>Poverty</keyword>
<keyword>population</keyword>
<keyword>348</keyword>
</searchKeys>
<idPurp>Village poverty with 8 criterias ບ້ານພົ້ນທຸກ ຕາມເງື່ອນໄຂ 8 ມາດຕະຖານພົ້ນທຸກ</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;Village poverty with 8 criterias&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Field data collection of poverty and development all household over country 2020&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Rual development department, Ministry of Agriculture and Forestry&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Rual development department, Ministry of Agriculture and Forestry ກົມພັດທະນະຊົນນະບົດ, ກະຊວງກະສີກຳ ແລະ ປ່າໄມ້</idCredit>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;With proper citation of the data sources, the data can be used freely.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
