<data>
<row _id="1"><Area>Nepal</Area><Poorest>334.5</Poorest><Second>491.2</Second><Third>643.5</Third><Fourth>834.4</Fourth><Richest>1457.1</Richest><Total>3760.8</Total></row>
<row _id="2"><Area>Province</Area><Poorest xsi:nil="true" /><Second xsi:nil="true" /><Third xsi:nil="true" /><Fourth xsi:nil="true" /><Richest xsi:nil="true" /><Total xsi:nil="true" /></row>
<row _id="3"><Area>Koshi</Area><Poorest>52</Poorest><Second>77.6</Second><Third>100</Third><Fourth>129.1</Fourth><Richest>226.6</Richest><Total>585.3</Total></row>
<row _id="4"><Area>Madhesh</Area><Poorest>54.1</Poorest><Second>75.1</Second><Third>99</Third><Fourth>121.2</Fourth><Richest>214.2</Richest><Total>563.5</Total></row>
<row _id="5"><Area>Bagmati</Area><Poorest>106.1</Poorest><Second>156.7</Second><Third>206.9</Third><Fourth>272.9</Fourth><Richest>481.9</Richest><Total>1224.5</Total></row>
<row _id="6"><Area>Gandaki</Area><Poorest>34.2</Poorest><Second>50.9</Second><Third>67</Third><Fourth>85.9</Fourth><Richest>145.4</Richest><Total>383.3</Total></row>
<row _id="7"><Area>Lumbini</Area><Poorest>53.1</Poorest><Second>81.3</Second><Third>108.5</Third><Fourth>145.8</Fourth><Richest>251.9</Richest><Total>640.6</Total></row>
<row _id="8"><Area>Karnali</Area><Poorest>13.7</Poorest><Second>19.2</Second><Third>24.1</Third><Fourth>31.4</Fourth><Richest>55.7</Richest><Total>144.2</Total></row>
<row _id="9"><Area>Sudurpashchim</Area><Poorest>21.4</Poorest><Second>30.4</Second><Third>38</Third><Fourth>48.1</Fourth><Richest>81.5</Richest><Total>219.3</Total></row>
</data>
