<data>
<row _id="1"><Sector>Total</Sector><Total 2014-15>100.0</Total 2014-15><Male 2014-15>100.0</Male 2014-15><Female 2014-15>100.0</Female 2014-15><Total 2017-18>100.0</Total 2017-18><Male 2017-18>100.0</Male 2017-18><Female 2017-18>100.0</Female 2017-18></row>
<row _id="2"><Sector>Formal</Sector><Total 2014-15>27.4</Total 2014-15><Male 2014-15>27.5</Male 2014-15><Female 2014-15>26.5</Female 2014-15><Total 2017-18>28.0</Total 2017-18><Male 2017-18>28.0</Male 2017-18><Female 2017-18>28.2</Female 2017-18></row>
<row _id="3"><Sector>Informal</Sector><Total 2014-15>72.6</Total 2014-15><Male 2014-15>72.5</Male 2014-15><Female 2014-15>73.5</Female 2014-15><Total 2017-18>72.0</Total 2017-18><Male 2017-18>72.0</Male 2017-18><Female 2017-18>71.8</Female 2017-18></row>
<row _id="4"><Sector>Rural</Sector><Total 2014-15>100.0</Total 2014-15><Male 2014-15>100.0</Male 2014-15><Female 2014-15>100.0</Female 2014-15><Total 2017-18>100.0</Total 2017-18><Male 2017-18>100.0</Male 2017-18><Female 2017-18>100.0</Female 2017-18></row>
<row _id="5"><Sector>Formal</Sector><Total 2014-15>23.9</Total 2014-15><Male 2014-15>24.3</Male 2014-15><Female 2014-15>22.0</Female 2014-15><Total 2017-18>24.0</Total 2017-18><Male 2017-18>24.3</Male 2017-18><Female 2017-18>22.3</Female 2017-18></row>
<row _id="6"><Sector>Informal</Sector><Total 2014-15>76.1</Total 2014-15><Male 2014-15>75.7</Male 2014-15><Female 2014-15>78.0</Female 2014-15><Total 2017-18>76.0</Total 2017-18><Male 2017-18>75.7</Male 2017-18><Female 2017-18>77.7</Female 2017-18></row>
<row _id="7"><Sector>Urban</Sector><Total 2014-15>100.0</Total 2014-15><Male 2014-15>100.0</Male 2014-15><Female 2014-15>100.0</Female 2014-15><Total 2017-18>100.0</Total 2017-18><Male 2017-18>100.0</Male 2017-18><Female 2017-18>100.0</Female 2017-18></row>
<row _id="8"><Sector>Formal</Sector><Total 2014-15>30.8</Total 2014-15><Male 2014-15>30.7</Male 2014-15><Female 2014-15>31.5</Female 2014-15><Total 2017-18>31.7</Total 2017-18><Male 2017-18>31.4</Male 2017-18><Female 2017-18>33.9</Female 2017-18></row>
<row _id="9"><Sector>Informal</Sector><Total 2014-15>69.2</Total 2014-15><Male 2014-15>69.3</Male 2014-15><Female 2014-15>68.5</Female 2014-15><Total 2017-18>68.3</Total 2017-18><Male 2017-18>68.6</Male 2017-18><Female 2017-18>66.1</Female 2017-18></row>
</data>
