<data>
<row _id="1"><Year>2007-08</Year><Total>18,717</Total><Male>13,097</Male><Female>5,620</Female></row>
<row _id="2"><Year>2008-09</Year><Total>18,774</Total><Male>12,895</Male><Female>5,879</Female></row>
<row _id="3"><Year>2009-10</Year><Total>19,115</Total><Male>13,427</Male><Female>5,688</Female></row>
<row _id="4"><Year>2010-11</Year><Total>20,353</Total><Male>14,067</Male><Female>6,286</Female></row>
<row _id="5"><Year>2011-12</Year><Total>22,962</Total><Male>15,902</Male><Female>7,060</Female></row>
<row _id="6"><Year>2012-13</Year><Total>23,044</Total><Male>15,504</Male><Female>7,540</Female></row>
<row _id="7"><Year>2013-14</Year><Total>31,318</Total><Male>20,538</Male><Female>10,780</Female></row>
<row _id="8"><Year>2014-15</Year><Total>32,452</Total><Male>21,252</Male><Female>11,200</Female></row>
<row _id="9"><Year>2015-16</Year><Total>33,471</Total><Male>21,550</Male><Female>11,921</Female></row>
<row _id="10"><Year>2016-17</Year><Total>35,343</Total><Male>22,223</Male><Female>13,120</Female></row>
<row _id="11"><Year>2017-18(P)</Year><Total>35,766</Total><Male>21,583</Male><Female>14,183</Female></row>
</data>
