<data>
<row _id="1"><Gender/Poverty Status>Bagmati</Gender/Poverty Status><05-Sep>95.1</05-Sep><Oct-14>99.5</Oct-14><15-19>99.8</15-19><20-24>98.2</20-24><25-29>97.1</25-29><30-34>91.1</30-34><35-39>82.2</35-39><40- 44>84</40- 44><45-49>75.4</45-49><50-54>64.5</50-54><55-59>54.6</55-59><60- 64>49.2</60- 64><65 and above>35.2</65 and above><Total>83</Total></row>
<row _id="2"><Gender/Poverty Status>Male total</Gender/Poverty Status><05-Sep>95.1</05-Sep><Oct-14>99.6</Oct-14><15-19>99.9</15-19><20-24>98.4</20-24><25-29>98.9</25-29><30-34>95.4</30-34><35-39>91.1</35-39><40- 44>91.1</40- 44><45-49>87.1</45-49><50-54>82.5</50-54><55-59>72.1</55-59><60- 64>71.6</60- 64><65 and above>51.6</65 and above><Total>89.4</Total></row>
<row _id="3"><Gender/Poverty Status>Female total</Gender/Poverty Status><05-Sep>95.2</05-Sep><Oct-14>99.3</Oct-14><15-19>99.7</15-19><20-24>98.1</20-24><25-29>95.4</25-29><30-34>87.6</30-34><35-39>75.7</35-39><40- 44>78.3</40- 44><45-49>63.9</45-49><50-54>45.8</50-54><55-59>36.2</55-59><60- 64>22.1</60- 64><65 and above>19.8</65 and above><Total>76.8</Total></row>
<row _id="4"><Gender/Poverty Status>Poor total</Gender/Poverty Status><05-Sep>91.9</05-Sep><Oct-14>99.2</Oct-14><15-19>99.1</15-19><20-24>92.2</20-24><25-29>92.3</25-29><30-34>71.5</30-34><35-39>56.4</35-39><40- 44>50.7</40- 44><45-49>40.9</45-49><50-54>43.9</50-54><55-59>21.1</55-59><60- 64>10.2</60- 64><65 and above>7.8</65 and above><Total>71.5</Total></row>
<row _id="5"><Gender/Poverty Status>Poor male total</Gender/Poverty Status><05-Sep>93.6</05-Sep><Oct-14>100</Oct-14><15-19>100</15-19><20-24>91.7</20-24><25-29>99</25-29><30-34>80.3</30-34><35-39>70.5</35-39><40- 44>68.8</40- 44><45-49>70.9</45-49><50-54>63.4</50-54><55-59>39.8</55-59><60- 64>19</60- 64><65 and above>13.9</65 and above><Total>77</Total></row>
<row _id="6"><Gender/Poverty Status>Poor female</Gender/Poverty Status><05-Sep>90.5</05-Sep><Oct-14>98.6</Oct-14><15-19>98.4</15-19><20-24>92.6</20-24><25-29>87.1</25-29><30-34>64.1</30-34><35-39>44</35-39><40- 44>31.6</40- 44><45-49>18.8</45-49><50-54>21.4</50-54><55-59>0</55-59><60- 64>1.2</60- 64><65 and above>1.3</65 and above><Total>66.7</Total></row>
<row _id="7"><Gender/Poverty Status>Non-poor total</Gender/Poverty Status><05-Sep>95.9</05-Sep><Oct-14>99.5</Oct-14><15-19>99.8</15-19><20-24>99</20-24><25-29>97.8</25-29><30-34>94.4</30-34><35-39>85</35-39><40- 44>87</40- 44><45-49>78</45-49><50-54>66.5</50-54><55-59>56.9</55-59><60- 64>52</60- 64><65 and above>39.9</65 and above><Total>84.5</Total></row>
<row _id="8"><Gender/Poverty Status>Non poor male</Gender/Poverty Status><05-Sep>95.4</05-Sep><Oct-14>99.5</Oct-14><15-19>99.8</15-19><20-24>99.2</20-24><25-29>98.9</25-29><30-34>97.9</30-34><35-39>93.6</35-39><40- 44>93.5</40- 44><45-49>88.1</45-49><50-54>84.5</50-54><55-59>74.4</55-59><60- 64>75</60- 64><65 and above>58.6</65 and above><Total>91.1</Total></row>
<row _id="9"><Gender/Poverty Status>Non poor female</Gender/Poverty Status><05-Sep>96.5</05-Sep><Oct-14>99.5</Oct-14><15-19>99.8</15-19><20-24>98.8</20-24><25-29>96.6</25-29><30-34>91.4</30-34><35-39>78.8</35-39><40- 44>82</40- 44><45-49>67.9</45-49><50-54>48</50-54><55-59>38.6</55-59><60- 64>23.7</60- 64><65 and above>22.8</65 and above><Total>78.3</Total></row>
</data>
