<data>
<row _id="1"><Gender/Poverty Status>Nepal</Gender/Poverty Status><4-9>91.7</4-9><10-14>98.5</10-14><15-19>97.6</15-19><20-24>93.7</20-24><25-29>90.8</25-29><30-34>84.6</30-34><35-39>76.1</35-39><40- 44>70.1</40- 44><45-49>63.8</45-49><50-54>56.9</50-54><55-59>44.3</55-59><60- 64>38.6</60- 64><65 and above>29.5</65 and above><Total>77.4</Total></row>
<row _id="2"><Gender/Poverty Status>Male total</Gender/Poverty Status><4-9>91.6</4-9><10-14>98.7</10-14><15-19>98.2</15-19><20-24>96.2</20-24><25-29>95.5</25-29><30-34>93.1</30-34><35-39>88.4</35-39><40- 44>84</40- 44><45-49>79.8</45-49><50-54>78.6</50-54><55-59>66.3</55-59><60- 64>62.8</60- 64><65 and above>48.9</65 and above><Total>85.8</Total></row>
<row _id="3"><Gender/Poverty Status>Female total</Gender/Poverty Status><4-9>91.9</4-9><10-14>98.4</10-14><15-19>96.9</15-19><20-24>91.9</20-24><25-29>87.4</25-29><30-34>78.1</30-34><35-39>68.4</35-39><40- 44>59.2</40- 44><45-49>49.4</45-49><50-54>36.1</50-54><55-59>23.6</55-59><60- 64>16.7</60- 64><65 and above>10.5</65 and above><Total>70.1</Total></row>
<row _id="4"><Gender/Poverty Status>Poor total</Gender/Poverty Status><4-9>86.8</4-9><10-14>95.9</10-14><15-19>93.8</15-19><20-24>85.8</20-24><25-29>80.8</25-29><30-34>65.4</30-34><35-39>54.8</35-39><40- 44>37.8</40- 44><45-49>32.4</45-49><50-54>36.8</50-54><55-59>19.6</55-59><60- 64>19.6</60- 64><65 and above>12.4</65 and above><Total>66.4</Total></row>
<row _id="5"><Gender/Poverty Status>Poor male total</Gender/Poverty Status><4-9>88.8</4-9><10-14>96.7</10-14><15-19>95.7</15-19><20-24>89</20-24><25-29>90.4</25-29><30-34>79.5</30-34><35-39>70.5</35-39><40- 44>54.5</40- 44><45-49>50.8</45-49><50-54>56.7</50-54><55-59>37.3</55-59><60- 64>40.3</60- 64><65 and above>22.6</65 and above><Total>73.6</Total></row>
<row _id="6"><Gender/Poverty Status>Poor female</Gender/Poverty Status><4-9>84.8</4-9><10-14>95.3</10-14><15-19>92.6</15-19><20-24>83.8</20-24><25-29>74.3</25-29><30-34>54.6</30-34><35-39>45.3</35-39><40- 44>23.3</40- 44><45-49>14.7</45-49><50-54>17.2</50-54><55-59>4.6</55-59><60- 64>2.7</60- 64><65 and above>2.5</65 and above><Total>60.6</Total></row>
<row _id="7"><Gender/Poverty Status>Non-poor total</Gender/Poverty Status><4-9>93.4</4-9><10-14>99.4</10-14><15-19>98.5</15-19><20-24>95.6</20-24><25-29>92.8</25-29><30-34>89.1</30-34><35-39>80.5</35-39><40- 44>76.5</40- 44><45-49>69.2</45-49><50-54>59.7</50-54><55-59>49.3</55-59><60- 64>42.8</60- 64><65 and above>34</65 and above><Total>80</Total></row>
<row _id="8"><Gender/Poverty Status>Non poor male</Gender/Poverty Status><4-9>92.4</4-9><10-14>99.2</10-14><15-19>98.7</15-19><20-24>97.7</20-24><25-29>96.6</25-29><30-34>96.4</30-34><35-39>91.9</35-39><40- 44>90.3</40- 44><45-49>85.1</45-49><50-54>81.6</50-54><55-59>71.7</55-59><60- 64>67.5</60- 64><65 and above>55.9</65 and above><Total>88.6</Total></row>
<row _id="9"><Gender/Poverty Status>Non poor female</Gender/Poverty Status><4-9>94.6</4-9><10-14>99.5</10-14><15-19>98.2</15-19><20-24>94.1</20-24><25-29>90.2</25-29><30-34>83.5</30-34><35-39>73.2</35-39><40- 44>66</40- 44><45-49>55.1</45-49><50-54>38.6</50-54><55-59>27.7</55-59><60- 64>20</60- 64><65 and above>12.7</65 and above><Total>72.5</Total></row>
</data>
