<data>
<row _id="1"><Gender/Poverty Status>Male total</Gender/Poverty Status><05-Sep>85.4</05-Sep><Oct-14>97</Oct-14><15-19>94.1</15-19><20-24>88.2</20-24><25-29>89.2</25-29><30-34>84.5</30-34><35-39>80</35-39><40- 44>65</40- 44><45-49>67.2</45-49><50-54>66.3</50-54><55-59>54.5</55-59><60- 64>45.6</60- 64><65 and above>32.6</65 and above><Total>77.9</Total></row>
<row _id="2"><Gender/Poverty Status>Female total</Gender/Poverty Status><05-Sep>87.1</05-Sep><Oct-14>96.6</Oct-14><15-19>90.1</15-19><20-24>78</20-24><25-29>67</25-29><30-34>50.5</30-34><35-39>49.5</35-39><40- 44>25.1</40- 44><45-49>29.7</45-49><50-54>17.6</50-54><55-59>16.1</55-59><60- 64>10.8</60- 64><65 and above>7.4</65 and above><Total>59.9</Total></row>
<row _id="3"><Gender/Poverty Status>Poor total</Gender/Poverty Status><05-Sep>79.9</05-Sep><Oct-14>89.9</Oct-14><15-19>86.7</15-19><20-24>71.9</20-24><25-29>61.9</25-29><30-34>38.3</30-34><35-39>46.2</35-39><40- 44>15.2</40- 44><45-49>21.6</45-49><50-54>19.2</50-54><55-59>16.3</55-59><60- 64>14.7</60- 64><65 and above>10.9</65 and above><Total>57.1</Total></row>
<row _id="4"><Gender/Poverty Status>Poor male total</Gender/Poverty Status><05-Sep>82.5</05-Sep><Oct-14>90.1</Oct-14><15-19>91.7</15-19><20-24>75.1</20-24><25-29>82.5</25-29><30-34>53.9</30-34><35-39>50.1</35-39><40- 44>25.3</40- 44><45-49>28.2</45-49><50-54>16.4</50-54><55-59>29.7</55-59><60- 64>34.5</60- 64><65 and above>16.5</65 and above><Total>61</Total></row>
<row _id="5"><Gender/Poverty Status>Poor female</Gender/Poverty Status><05-Sep>77.6</05-Sep><Oct-14>89.7</Oct-14><15-19>82.9</15-19><20-24>69.8</20-24><25-29>45.5</25-29><30-34>24.7</30-34><35-39>44.3</35-39><40- 44>5.1</40- 44><45-49>9.2</45-49><50-54>21.2</50-54><55-59>3</55-59><60- 64>0</60- 64><65 and above>1.5</65 and above><Total>53.9</Total></row>
<row _id="6"><Gender/Poverty Status>Non-poor total</Gender/Poverty Status><05-Sep>87.9</05-Sep><Oct-14>99</Oct-14><15-19>93.8</15-19><20-24>85.1</20-24><25-29>79.5</25-29><30-34>73</30-34><35-39>64.7</35-39><40- 44>50.2</40- 44><45-49>55.5</45-49><50-54>42.2</50-54><55-59>42.5</55-59><60- 64>29.4</60- 64><65 and above>25</65 and above><Total>71.5</Total></row>
<row _id="7"><Gender/Poverty Status>Non poor male</Gender/Poverty Status><05-Sep>86</05-Sep><Oct-14>98.9</Oct-14><15-19>94.7</15-19><20-24>92.6</20-24><25-29>90.8</25-29><30-34>92.3</30-34><35-39>88.1</35-39><40- 44>81.5</40- 44><45-49>78</45-49><50-54>70.8</50-54><55-59>60.9</55-59><60- 64>47.9</60- 64><65 and above>38.9</65 and above><Total>82.5</Total></row>
<row _id="8"><Gender/Poverty Status>Non poor female</Gender/Poverty Status><05-Sep>90.7</05-Sep><Oct-14>99.1</Oct-14><15-19>92.8</15-19><20-24>80.6</20-24><25-29>71.6</25-29><30-34>56.8</30-34><35-39>51.2</35-39><40- 44>30.3</40- 44><45-49>32.8</45-49><50-54>17.3</50-54><55-59>20.2</55-59><60- 64>13.4</60- 64><65 and above>9</65 and above><Total>61.6</Total></row>
</data>
