<data>
<row _id="1"><Area>Nepal</Area><Poorest>73.2</Poorest><Second>77.8</Second><Third>77.7</Third><Fourth>78.2</Fourth><Richest>76.7</Richest><Total>76.8</Total></row>
<row _id="2"><Area>Koshi</Area><Poorest>56.9</Poorest><Second>65.1</Second><Third>73</Third><Fourth>72.5</Fourth><Richest>69.4</Richest><Total>68.3</Total></row>
<row _id="3"><Area>Madhesh</Area><Poorest>74.4</Poorest><Second>85.6</Second><Third>78.4</Third><Fourth>80.5</Fourth><Richest>75.8</Richest><Total>79.1</Total></row>
<row _id="4"><Area>Bagmati</Area><Poorest>60.5</Poorest><Second>65.5</Second><Third>68.4</Third><Fourth>74</Fourth><Richest>72.4</Richest><Total>69.8</Total></row>
<row _id="5"><Area>Gandaki</Area><Poorest>77.2</Poorest><Second>76.8</Second><Third>84.7</Third><Fourth>79.9</Fourth><Richest>83.1</Richest><Total>81.1</Total></row>
<row _id="6"><Area>Lumbini</Area><Poorest>86.9</Poorest><Second>92.8</Second><Third>88.9</Third><Fourth>90.4</Fourth><Richest>89</Richest><Total>89.6</Total></row>
<row _id="7"><Area>Karnali</Area><Poorest>87.5</Poorest><Second>89.7</Second><Third>84.4</Third><Fourth>80</Fourth><Richest>74.7</Richest><Total>83.9</Total></row>
<row _id="8"><Area>Sudurpashchim</Area><Poorest>70.8</Poorest><Second>67.8</Second><Third>76.4</Third><Fourth>62.5</Fourth><Richest>69.1</Richest><Total>69.8</Total></row>
</data>
