<data>
<row _id="1"><Year>2007-08</Year><Total>12,211</Total><Male>9,037</Male><Female>3,174</Female></row>
<row _id="2"><Year>2008-09</Year><Total>12,206</Total><Male>8,673</Male><Female>3,533</Female></row>
<row _id="3"><Year>2009-10</Year><Total>14,127</Total><Male>10,292</Male><Female>3,835</Female></row>
<row _id="4"><Year>2010-11</Year><Total>14,911</Total><Male>11,054</Male><Female>3,857</Female></row>
<row _id="5"><Year>2011-12</Year><Total>14,725</Total><Male>10,480</Male><Female>4,245</Female></row>
<row _id="6"><Year>2012-13 *</Year><Total>13,249</Total><Male>8,993</Male><Female>4,256</Female></row>
<row _id="7"><Year>2013-14</Year><Total>16,606</Total><Male>11,272</Male><Female>5,334</Female></row>
<row _id="8"><Year>2014-15</Year><Total>18,337</Total><Male>12,329</Male><Female>6,008</Female></row>
<row _id="9"><Year>2015-16</Year><Total>17,645</Total><Male>11,883</Male><Female>5,762</Female></row>
<row _id="10"><Year>2016-17</Year><Total>19,454</Total><Male>12,634</Male><Female>6,820</Female></row>
<row _id="11"><Year>2017-18</Year><Total>20,214</Total><Male>13,595</Male><Female>6,619</Female></row>
</data>
