<data>
<row _id="1"><Gender/Poverty Status>Lumbini</Gender/Poverty Status><05-Sep>93.7</05-Sep><Oct-14>99.1</Oct-14><15-19>99.2</15-19><20-24>97.5</20-24><25-29>93.2</25-29><30-34>86.9</30-34><35-39>78.7</35-39><40- 44>76.2</40- 44><45-49>65.6</45-49><50-54>62.3</50-54><55-59>39.5</55-59><60- 64>40.9</60- 64><65 and above>31.8</65 and above><Total>80.1</Total></row>
<row _id="2"><Gender/Poverty Status>Male total</Gender/Poverty Status><05-Sep>94</05-Sep><Oct-14>100</Oct-14><15-19>99.2</15-19><20-24>99.2</20-24><25-29>95.4</25-29><30-34>94.8</30-34><35-39>87.3</35-39><40- 44>86.5</40- 44><45-49>79</45-49><50-54>80.9</50-54><55-59>57.4</55-59><60- 64>62.2</60- 64><65 and above>56.7</65 and above><Total>87.4</Total></row>
<row _id="3"><Gender/Poverty Status>Female total</Gender/Poverty Status><05-Sep>93.3</05-Sep><Oct-14>98.3</Oct-14><15-19>99.2</15-19><20-24>96.3</20-24><25-29>92</25-29><30-34>80.8</30-34><35-39>74.3</35-39><40- 44>67.5</40- 44><45-49>56.7</45-49><50-54>42.5</50-54><55-59>22.6</55-59><60- 64>22.6</60- 64><65 and above>8.4</65 and above><Total>74.2</Total></row>
<row _id="4"><Gender/Poverty Status>Poor total</Gender/Poverty Status><05-Sep>88.9</05-Sep><Oct-14>97.7</Oct-14><15-19>95.9</15-19><20-24>93.2</20-24><25-29>86.1</25-29><30-34>72.2</30-34><35-39>57.6</35-39><40- 44>48.7</40- 44><45-49>39.7</45-49><50-54>50.7</50-54><55-59>16.6</55-59><60- 64>28.1</60- 64><65 and above>14.1</65 and above><Total>69.3</Total></row>
<row _id="5"><Gender/Poverty Status>Poor male total</Gender/Poverty Status><05-Sep>90.6</05-Sep><Oct-14>100</Oct-14><15-19>95.4</15-19><20-24>95.2</20-24><25-29>90.8</25-29><30-34>96.3</30-34><35-39>76.7</35-39><40- 44>66.2</40- 44><45-49>58.6</45-49><50-54>71.9</50-54><55-59>27.6</55-59><60- 64>53.6</60- 64><65 and above>26.6</65 and above><Total>77.1</Total></row>
<row _id="6"><Gender/Poverty Status>Poor female</Gender/Poverty Status><05-Sep>87.2</05-Sep><Oct-14>95.8</Oct-14><15-19>96.3</15-19><20-24>92.3</20-24><25-29>83.6</25-29><30-34>53.8</30-34><35-39>46</35-39><40- 44>36.2</40- 44><45-49>24.7</45-49><50-54>28.1</50-54><55-59>4.8</55-59><60- 64>7</60- 64><65 and above>3.1</65 and above><Total>63.4</Total></row>
<row _id="7"><Gender/Poverty Status>Non-poor total</Gender/Poverty Status><05-Sep>95.7</05-Sep><Oct-14>99.8</Oct-14><15-19>100</15-19><20-24>98.8</20-24><25-29>94.7</25-29><30-34>90.9</30-34><35-39>84.7</35-39><40- 44>83.4</40- 44><45-49>71.3</45-49><50-54>64.1</50-54><55-59>46.4</55-59><60- 64>45.3</60- 64><65 and above>39.5</65 and above><Total>83.5</Total></row>
<row _id="8"><Gender/Poverty Status>Non poor male</Gender/Poverty Status><05-Sep>95.3</05-Sep><Oct-14>100</Oct-14><15-19>100</15-19><20-24>100</20-24><25-29>96.4</25-29><30-34>94.4</30-34><35-39>90.7</35-39><40- 44>91.3</40- 44><45-49>84.1</45-49><50-54>82.3</50-54><55-59>67.3</55-59><60- 64>65.1</60- 64><65 and above>69.2</65 and above><Total>90.4</Total></row>
<row _id="9"><Gender/Poverty Status>Non poor female</Gender/Poverty Status><05-Sep>96.3</05-Sep><Oct-14>99.6</Oct-14><15-19>100</15-19><20-24>97.8</20-24><25-29>93.8</25-29><30-34>88.1</30-34><35-39>81.7</35-39><40- 44>76.5</40- 44><45-49>63.1</45-49><50-54>44.7</50-54><55-59>27.5</55-59><60- 64>28.2</60- 64><65 and above>10.8</65 and above><Total>77.6</Total></row>
</data>
