<data>
<row _id="1"><Major Industry Divisions>Total</Major Industry Divisions><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"><Major Industry Divisions>Manufacturing</Major Industry Divisions><Total 2014-15>23.2</Total 2014-15><Male 2014-15>18.1</Male 2014-15><Female 2014-15>63.9</Female 2014-15><Total 2017-18>22.8</Total 2017-18><Male 2017-18>17.7</Male 2017-18><Female 2017-18>61.5</Female 2017-18></row>
<row _id="3"><Major Industry Divisions>Construction</Major Industry Divisions><Total 2014-15>16.4</Total 2014-15><Male 2014-15>18.3</Male 2014-15><Female 2014-15>1.0</Female 2014-15><Total 2017-18>16.2</Total 2017-18><Male 2017-18>18.2</Male 2017-18><Female 2017-18>0.9</Female 2017-18></row>
<row _id="4"><Major Industry Divisions>Wholesale &amp; retail trade</Major Industry Divisions><Total 2014-15>34.1</Total 2014-15><Male 2014-15>37.5</Male 2014-15><Female 2014-15>6.7</Female 2014-15><Total 2017-18>32.5</Total 2017-18><Male 2017-18>36.0</Male 2017-18><Female 2017-18>5.9</Female 2017-18></row>
<row _id="5"><Major Industry Divisions>Transport, storage &amp; communication</Major Industry Divisions><Total 2014-15>10.9</Total 2014-15><Male 2014-15>12.2</Male 2014-15><Female 2014-15>0.3</Female 2014-15><Total 2017-18>11.5</Total 2017-18><Male 2017-18>13.0</Male 2017-18><Female 2017-18>0.7</Female 2017-18></row>
<row _id="6"><Major Industry Divisions>Community, social &amp; personal services</Major Industry Divisions><Total 2014-15>14.5</Total 2014-15><Male 2014-15>13.0</Male 2014-15><Female 2014-15>28.1</Female 2014-15><Total 2017-18>16.0</Total 2017-18><Male 2017-18>14.0</Male 2017-18><Female 2017-18>31.0</Female 2017-18></row>
<row _id="7"><Major Industry Divisions>* Others</Major Industry Divisions><Total 2014-15>0.8</Total 2014-15><Male 2014-15>0.9</Male 2014-15><Female 2014-15>-</Female 2014-15><Total 2017-18>1.0</Total 2017-18><Male 2017-18>1.1</Male 2017-18><Female 2017-18>-</Female 2017-18></row>
</data>
