<data>
<row _id="1"><Year>2007-08</Year><Total>311,385</Total><Male>191,784</Male><Female>119,601</Female></row>
<row _id="2"><Year>2008-09</Year><Total>306,164</Total><Male>189,978</Male><Female>116,186</Female></row>
<row _id="3"><Year>2009-10</Year><Total>350,057</Total><Male>224,908</Male><Female>125,149</Female></row>
<row _id="4"><Year>2010-11</Year><Total>387,705</Total><Male>239,735</Male><Female>147,970</Female></row>
<row _id="5"><Year>2011-12</Year><Total>467,344</Total><Male>297,743</Male><Female>169,601</Female></row>
<row _id="6"><Year>2012-13</Year><Total>545,062</Total><Male>341,713</Male><Female>203,349</Female></row>
<row _id="7"><Year>2013-14</Year><Total>644,881</Total><Male>400,189</Male><Female>244,692</Female></row>
<row _id="8"><Year>2014-15</Year><Total>718,758</Total><Male>444,588</Male><Female>274,170</Female></row>
<row _id="9"><Year>2015-16</Year><Total>757,290</Total><Male>456,728</Male><Female>300,562</Female></row>
<row _id="10"><Year>2016-17</Year><Total>791,091</Total><Male>481,677</Male><Female>309,414</Female></row>
<row _id="11"><Year>2017-18(P)</Year><Total>852,043</Total><Male>504,950</Male><Female>347,093</Female></row>
</data>
