<data>
<row _id="1"><Area>Nepal</Area><Poorest Consumption Quintiles>59.7</Poorest Consumption Quintiles><Second Consumption Quintiles>55.9</Second Consumption Quintiles><Third Consumption Quintiles>52.5</Third Consumption Quintiles><Fourth Consumption Quintiles>49</Fourth Consumption Quintiles><Richest Consumption Quintiles>43.1</Richest Consumption Quintiles><Poor (Poverty)>60.6</Poor (Poverty)><Non poor (Poverty)>49.9</Non poor (Poverty)><Total>52.1</Total></row>
<row _id="2"><Area>Province</Area><Poorest Consumption Quintiles xsi:nil="true" /><Second Consumption Quintiles xsi:nil="true" /><Third Consumption Quintiles xsi:nil="true" /><Fourth Consumption Quintiles xsi:nil="true" /><Richest Consumption Quintiles xsi:nil="true" /><Poor (Poverty) xsi:nil="true" /><Non poor (Poverty) xsi:nil="true" /><Total xsi:nil="true" /></row>
<row _id="3"><Area>Koshi</Area><Poorest Consumption Quintiles>61.7</Poorest Consumption Quintiles><Second Consumption Quintiles>56.9</Second Consumption Quintiles><Third Consumption Quintiles>52.5</Third Consumption Quintiles><Fourth Consumption Quintiles>48.6</Fourth Consumption Quintiles><Richest Consumption Quintiles>42.7</Richest Consumption Quintiles><Poor (Poverty)>62.7</Poor (Poverty)><Non poor (Poverty)>50.4</Non poor (Poverty)><Total>52.5</Total></row>
<row _id="4"><Area>Madhesh</Area><Poorest Consumption Quintiles>63.7</Poorest Consumption Quintiles><Second Consumption Quintiles>59.3</Second Consumption Quintiles><Third Consumption Quintiles>59.6</Third Consumption Quintiles><Fourth Consumption Quintiles>55.8</Fourth Consumption Quintiles><Richest Consumption Quintiles>50.2</Richest Consumption Quintiles><Poor (Poverty)>64.5</Poor (Poverty)><Non poor (Poverty)>55.8</Non poor (Poverty)><Total>57.8</Total></row>
<row _id="5"><Area>Bagmati</Area><Poorest Consumption Quintiles>55.2</Poorest Consumption Quintiles><Second Consumption Quintiles>50.3</Second Consumption Quintiles><Third Consumption Quintiles>44.2</Third Consumption Quintiles><Fourth Consumption Quintiles>42.2</Fourth Consumption Quintiles><Richest Consumption Quintiles>35.7</Richest Consumption Quintiles><Poor (Poverty)>57.8</Poor (Poverty)><Non poor (Poverty)>43.8</Non poor (Poverty)><Total>45.5</Total></row>
<row _id="6"><Area>Gandaki</Area><Poorest Consumption Quintiles>62.1</Poorest Consumption Quintiles><Second Consumption Quintiles>59.9</Second Consumption Quintiles><Third Consumption Quintiles>55.2</Third Consumption Quintiles><Fourth Consumption Quintiles>51.1</Fourth Consumption Quintiles><Richest Consumption Quintiles>42.5</Richest Consumption Quintiles><Poor (Poverty)>62.1</Poor (Poverty)><Non poor (Poverty)>53.1</Non poor (Poverty)><Total>54.2</Total></row>
<row _id="7"><Area>Lumbini</Area><Poorest Consumption Quintiles>57.5</Poorest Consumption Quintiles><Second Consumption Quintiles>55.4</Second Consumption Quintiles><Third Consumption Quintiles>49.7</Third Consumption Quintiles><Fourth Consumption Quintiles>45.1</Fourth Consumption Quintiles><Richest Consumption Quintiles>40.8</Richest Consumption Quintiles><Poor (Poverty)>57.4</Poor (Poverty)><Non poor (Poverty)>47.2</Non poor (Poverty)><Total>49.7</Total></row>
<row _id="8"><Area>Karnali</Area><Poorest Consumption Quintiles>60.2</Poorest Consumption Quintiles><Second Consumption Quintiles>58.9</Second Consumption Quintiles><Third Consumption Quintiles>58.2</Third Consumption Quintiles><Fourth Consumption Quintiles>58.5</Fourth Consumption Quintiles><Richest Consumption Quintiles>50.5</Richest Consumption Quintiles><Poor (Poverty)>62</Poor (Poverty)><Non poor (Poverty)>55.6</Non poor (Poverty)><Total>57.3</Total></row>
<row _id="9"><Area>Sudurpashchim</Area><Poorest Consumption Quintiles>58</Poorest Consumption Quintiles><Second Consumption Quintiles>54</Second Consumption Quintiles><Third Consumption Quintiles>53.4</Third Consumption Quintiles><Fourth Consumption Quintiles>49.2</Fourth Consumption Quintiles><Richest Consumption Quintiles>44.5</Richest Consumption Quintiles><Poor (Poverty)>58.1</Poor (Poverty)><Non poor (Poverty)>48.6</Non poor (Poverty)><Total>51.8</Total></row>
</data>
