<data>
<row _id="1"><Employment Status>Total</Employment Status><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"><Employment Status>Employers</Employment Status><Total 2014-15>1.4</Total 2014-15><Male 2014-15>1.7</Male 2014-15><Female 2014-15>0.1</Female 2014-15><Total 2017-18>1.4</Total 2017-18><Male 2017-18>1.7</Male 2017-18><Female 2017-18>0.1</Female 2017-18></row>
<row _id="3"><Employment Status>Own account workers</Employment Status><Total 2014-15>36.1</Total 2014-15><Male 2014-15>40.9</Male 2014-15><Female 2014-15>20.4</Female 2014-15><Total 2017-18>34.8</Total 2017-18><Male 2017-18>39.1</Male 2017-18><Female 2017-18>19.5</Female 2017-18></row>
<row _id="4"><Employment Status>Contributing family workers</Employment Status><Total 2014-15>23.8</Total 2014-15><Male 2014-15>14.5</Male 2014-15><Female 2014-15>54.5</Female 2014-15><Total 2017-18>21.4</Total 2017-18><Male 2017-18>12.9</Male 2017-18><Female 2017-18>51.9</Female 2017-18></row>
<row _id="5"><Employment Status>Employees</Employment Status><Total 2014-15>38.7</Total 2014-15><Male 2014-15>42.9</Male 2014-15><Female 2014-15>24.9</Female 2014-15><Total 2017-18>42.4</Total 2017-18><Male 2017-18>46.3</Male 2017-18><Female 2017-18>28.5</Female 2017-18></row>
</data>
