<data>
<row _id="1"><Region>Urban</Region><Household status>Non poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>83.5</Pourcentage></row>
<row _id="2"><Region>Urban</Region><Household status>Non poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>37.1</Pourcentage></row>
<row _id="3"><Region>Urban</Region><Household status>Non poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>62.4</Pourcentage></row>
<row _id="4"><Region>Urban</Region><Household status>Near poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>5.3</Pourcentage></row>
<row _id="5"><Region>Urban</Region><Household status>Near poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>6.9</Pourcentage></row>
<row _id="6"><Region>Urban</Region><Household status>Near poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>5.9</Pourcentage></row>
<row _id="7"><Region>Urban</Region><Household status>Poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>11.2</Pourcentage></row>
<row _id="8"><Region>Urban</Region><Household status>Poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>56</Pourcentage></row>
<row _id="9"><Region>Urban</Region><Household status>Poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>31.7</Pourcentage></row>
<row _id="10"><Region>Rural</Region><Household status>Non poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>88.4</Pourcentage></row>
<row _id="11"><Region>Rural</Region><Household status>Non poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>49.4</Pourcentage></row>
<row _id="12"><Region>Rural</Region><Household status>Non poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>71.4</Pourcentage></row>
<row _id="13"><Region>Rural</Region><Household status>Near poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>1.8</Pourcentage></row>
<row _id="14"><Region>Rural</Region><Household status>Near poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>6.1</Pourcentage></row>
<row _id="15"><Region>Rural</Region><Household status>Near poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>9.7</Pourcentage></row>
<row _id="16"><Region>Rural</Region><Household status>Poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>9.7</Pourcentage></row>
<row _id="17"><Region>Rural</Region><Household status>Poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>44.5</Pourcentage></row>
<row _id="18"><Region>Rural</Region><Household status>Poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>18.9</Pourcentage></row>
<row _id="19"><Region>Ethnic minorities</Region><Household status>Non poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>83.3</Pourcentage></row>
<row _id="20"><Region>Ethnic minorities</Region><Household status>Non poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>30</Pourcentage></row>
<row _id="21"><Region>Ethnic minorities</Region><Household status>Non poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>26.7</Pourcentage></row>
<row _id="22"><Region>Ethnic minorities</Region><Household status>Near poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>4.9</Pourcentage></row>
<row _id="23"><Region>Ethnic minorities</Region><Household status>Near poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>8.8</Pourcentage></row>
<row _id="24"><Region>Ethnic minorities</Region><Household status>Near poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>26.7</Pourcentage></row>
<row _id="25"><Region>Ethnic minorities</Region><Household status>Poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>11.8</Pourcentage></row>
<row _id="26"><Region>Ethnic minorities</Region><Household status>Poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>61.3</Pourcentage></row>
<row _id="27"><Region>Ethnic minorities</Region><Household status>Poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>46.7</Pourcentage></row>
<row _id="28"><Region>All</Region><Household status>Non poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>86.1</Pourcentage></row>
<row _id="29"><Region>All</Region><Household status>Non poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>43.6</Pourcentage></row>
<row _id="30"><Region>All</Region><Household status>Non poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>68.2</Pourcentage></row>
<row _id="31"><Region>All</Region><Household status>Near poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>3.4</Pourcentage></row>
<row _id="32"><Region>All</Region><Household status>Near poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>6.5</Pourcentage></row>
<row _id="33"><Region>All</Region><Household status>Near poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>8.4</Pourcentage></row>
<row _id="34"><Region>All</Region><Household status>Poor</Household status><Period>2019-12-01T00:00:00</Period><Pourcentage>10.4</Pourcentage></row>
<row _id="35"><Region>All</Region><Household status>Poor</Household status><Period>2020-04-01T00:00:00</Period><Pourcentage>49.9</Pourcentage></row>
<row _id="36"><Region>All</Region><Household status>Poor</Household status><Period>2020-05-01T00:00:00</Period><Pourcentage>23.4</Pourcentage></row>
</data>
