<data>
<row _id="1"><Year>2007-08</Year><Total>34,159</Total><Male>20,740</Male><Female>13,419</Female></row>
<row _id="2"><Year>2008-09</Year><Total>35,508</Total><Male>21,255</Male><Female>14,253</Female></row>
<row _id="3"><Year>2009-10</Year><Total>39,359</Total><Male>23,361</Male><Female>15,998</Female></row>
<row _id="4"><Year>2010-11</Year><Total>39,946</Total><Male>23,399</Male><Female>16,547</Female></row>
<row _id="5"><Year>2011-12</Year><Total>40,089</Total><Male>22966</Male><Female>17,123</Female></row>
<row _id="6"><Year>2012-13</Year><Total>44,004</Total><Male>25,447</Male><Female>18,557</Female></row>
<row _id="7"><Year>2013-14</Year><Total>44,401</Total><Male>25,656</Male><Female>18,745</Female></row>
<row _id="8"><Year>2014-15</Year><Total>46,119</Total><Male>27,207</Male><Female>18,912</Female></row>
<row _id="9"><Year>2015-16</Year><Total>49,387</Total><Male>28,393</Male><Female>20,994</Female></row>
<row _id="10"><Year>2016-17</Year><Total>56,506</Total><Male>30,721</Male><Female>25,785</Female></row>
<row _id="11"><Year>2017-18(P)</Year><Total>53,687</Total><Male>28,754</Male><Female>24,933</Female></row>
</data>
