<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>Agriculture/ forestry/hunting &amp; fishing</Major Industry Divisions><Total 2014-15>42.3</Total 2014-15><Male 2014-15>33.1</Male 2014-15><Female 2014-15>72.7</Female 2014-15><Total 2017-18>38.5</Total 2017-18><Male 2017-18>30.4</Male 2017-18><Female 2017-18>67.2</Female 2017-18></row>
<row _id="3"><Major Industry Divisions>Manufacturing</Major Industry Divisions><Total 2014-15>15.3</Total 2014-15><Male 2014-15>15.7</Male 2014-15><Female 2014-15>14.1</Female 2014-15><Total 2017-18>16.1</Total 2017-18><Male 2017-18>16.1</Male 2017-18><Female 2017-18>16.0</Female 2017-18></row>
<row _id="4"><Major Industry Divisions>Construction</Major Industry Divisions><Total 2014-15>7.3</Total 2014-15><Male 2014-15>9.5</Male 2014-15><Female 2014-15>0.2</Female 2014-15><Total 2017-18>7.6</Total 2017-18><Male 2017-18>9.7</Male 2017-18><Female 2017-18>0.3</Female 2017-18></row>
<row _id="5"><Major Industry Divisions>Wholesale &amp; retail trade</Major Industry Divisions><Total 2014-15>14.6</Total 2014-15><Male 2014-15>18.7</Male 2014-15><Female 2014-15>1.4</Female 2014-15><Total 2017-18>14.9</Total 2017-18><Male 2017-18>18.7</Male 2017-18><Female 2017-18>1.5</Female 2017-18></row>
<row _id="6"><Major Industry Divisions>Transport/storage &amp; communication</Major Industry Divisions><Total 2014-15>5.4</Total 2014-15><Male 2014-15>7.0</Male 2014-15><Female 2014-15>0.1</Female 2014-15><Total 2017-18>6.2</Total 2017-18><Male 2017-18>7.9</Male 2017-18><Female 2017-18>0.2</Female 2017-18></row>
<row _id="7"><Major Industry Divisions>Community/social &amp; personal services</Major Industry Divisions><Total 2014-15>13.2</Total 2014-15><Male 2014-15>13.7</Male 2014-15><Female 2014-15>11.3</Female 2014-15><Total 2017-18>14.7</Total 2017-18><Male 2017-18>14.8</Male 2017-18><Female 2017-18>14.6</Female 2017-18></row>
<row _id="8"><Major Industry Divisions>*Others</Major Industry Divisions><Total 2014-15>1.9</Total 2014-15><Male 2014-15>2.3</Male 2014-15><Female 2014-15>0.2</Female 2014-15><Total 2017-18>2.0</Total 2017-18><Male 2017-18>2.4</Male 2017-18><Female 2017-18>0.2</Female 2017-18></row>
</data>
