<data>
<row _id="1"><Gender/Poverty Status>Karnali</Gender/Poverty Status><05-Sep>93.3</05-Sep><Oct-14>98.9</Oct-14><15-19>98.9</15-19><20-24>97.4</20-24><25-29>92</25-29><30-34>82.1</30-34><35-39>65.9</35-39><40- 44>59.2</40- 44><45-49>53.7</45-49><50-54>45.8</50-54><55-59>34.2</55-59><60- 64>27.4</60- 64><65 and above>23.6</65 and above><Total>76.6</Total></row>
<row _id="2"><Gender/Poverty Status>Male total</Gender/Poverty Status><05-Sep>94.2</05-Sep><Oct-14>98.6</Oct-14><15-19>99.1</15-19><20-24>99.3</20-24><25-29>97.8</25-29><30-34>95.5</30-34><35-39>89.1</35-39><40- 44>74.2</40- 44><45-49>87.8</45-49><50-54>69.4</50-54><55-59>64.1</55-59><60- 64>55.4</60- 64><65 and above>43.4</65 and above><Total>86.6</Total></row>
<row _id="3"><Gender/Poverty Status>Female total</Gender/Poverty Status><05-Sep>92.4</05-Sep><Oct-14>99.2</Oct-14><15-19>98.7</15-19><20-24>96.3</20-24><25-29>88.7</25-29><30-34>74.4</30-34><35-39>49.1</35-39><40- 44>49.7</40- 44><45-49>24.9</45-49><50-54>26.9</50-54><55-59>6.2</55-59><60- 64>3.5</60- 64><65 and above>5.2</65 and above><Total>68.9</Total></row>
<row _id="4"><Gender/Poverty Status>Poor total</Gender/Poverty Status><05-Sep>90.8</05-Sep><Oct-14>97.3</Oct-14><15-19>95.7</15-19><20-24>93.3</20-24><25-29>84.8</25-29><30-34>60.7</30-34><35-39>63.2</35-39><40- 44>52.2</40- 44><45-49>27.4</45-49><50-54>27.8</50-54><55-59>16.8</55-59><60- 64>26.4</60- 64><65 and above>11.7</65 and above><Total>72.3</Total></row>
<row _id="5"><Gender/Poverty Status>Poor male total</Gender/Poverty Status><05-Sep>91.5</05-Sep><Oct-14>95.9</Oct-14><15-19>97.4</15-19><20-24>100</20-24><25-29>94.6</25-29><30-34>79.1</30-34><35-39>86.5</35-39><40- 44>69.6</40- 44><45-49>76.8</45-49><50-54>42</50-54><55-59>37.9</55-59><60- 64>50.1</60- 64><65 and above>28</65 and above><Total>80.3</Total></row>
<row _id="6"><Gender/Poverty Status>Poor female</Gender/Poverty Status><05-Sep>90</05-Sep><Oct-14>98.6</Oct-14><15-19>95</15-19><20-24>91.1</20-24><25-29>78.1</25-29><30-34>52.1</30-34><35-39>43.9</35-39><40- 44>36.1</40- 44><45-49>4.5</45-49><50-54>9.7</50-54><55-59>4.1</55-59><60- 64>0</60- 64><65 and above>0</65 and above><Total>66.6</Total></row>
<row _id="7"><Gender/Poverty Status>Non-poor total</Gender/Poverty Status><05-Sep>94.9</05-Sep><Oct-14>99.5</Oct-14><15-19>99.8</15-19><20-24>98.9</20-24><25-29>94.3</25-29><30-34>89.2</30-34><35-39>66.5</35-39><40- 44>61.1</40- 44><45-49>58.3</45-49><50-54>50.8</50-54><55-59>38.9</55-59><60- 64>28</60- 64><65 and above>26.7</65 and above><Total>78.1</Total></row>
<row _id="8"><Gender/Poverty Status>Non poor male</Gender/Poverty Status><05-Sep>95.6</05-Sep><Oct-14>99.6</Oct-14><15-19>99.4</15-19><20-24>99.2</20-24><25-29>98.9</25-29><30-34>100</30-34><35-39>89.7</35-39><40- 44>75.8</40- 44><45-49>89.1</45-49><50-54>80</50-54><55-59>69.3</55-59><60- 64>58.6</60- 64><65 and above>46.8</65 and above><Total>88.5</Total></row>
<row _id="9"><Gender/Poverty Status>Non poor female</Gender/Poverty Status><05-Sep>94</05-Sep><Oct-14>99.5</Oct-14><15-19>100</15-19><20-24>98.7</20-24><25-29>91.8</25-29><30-34>82.6</30-34><35-39>50.1</35-39><40- 44>52.7</40- 44><45-49>29.5</45-49><50-54>30.5</50-54><55-59>6.9</55-59><60- 64>5</60- 64><65 and above>6.8</65 and above><Total>69.7</Total></row>
</data>
