<data>
<row _id="1"><Sex>Male</Sex><Non-hazardous of Age group (5-13)>7</Non-hazardous of Age group (5-13)><Hazardous sector of Age group (5-13)>11</Hazardous sector of Age group (5-13)><Non-hazardous of Age group (14-17 yrs)>23</Non-hazardous of Age group (14-17 yrs)><Hazardous sector of Age group (14-17 yrs)>88</Hazardous sector of Age group (14-17 yrs)><Non-hazardous of age group  (5-17 yrs)>31</Non-hazardous of age group  (5-17 yrs)><Hazardous sector of age group (5-17 yrs)>99</Hazardous sector of age group (5-17 yrs)></row>
<row _id="2"><Sex>Female</Sex><Non-hazardous of Age group (5-13)>6</Non-hazardous of Age group (5-13)><Hazardous sector of Age group (5-13)>19</Hazardous sector of Age group (5-13)><Non-hazardous of Age group (14-17 yrs)>23</Non-hazardous of Age group (14-17 yrs)><Hazardous sector of Age group (14-17 yrs)>48</Hazardous sector of Age group (14-17 yrs)><Non-hazardous of age group  (5-17 yrs)>28</Non-hazardous of age group  (5-17 yrs)><Hazardous sector of age group (5-17 yrs)>67</Hazardous sector of age group (5-17 yrs)></row>
<row _id="3"><Sex>Total</Sex><Non-hazardous of Age group (5-13)>13</Non-hazardous of Age group (5-13)><Hazardous sector of Age group (5-13)>30</Hazardous sector of Age group (5-13)><Non-hazardous of Age group (14-17 yrs)>46</Non-hazardous of Age group (14-17 yrs)><Hazardous sector of Age group (14-17 yrs)>136</Hazardous sector of Age group (14-17 yrs)><Non-hazardous of age group  (5-17 yrs)>59</Non-hazardous of age group  (5-17 yrs)><Hazardous sector of age group (5-17 yrs)>166</Hazardous sector of age group (5-17 yrs)></row>
</data>
