<data>
<row _id="1"><Year>2007-08</Year><Total>330,586</Total><Male>205,347</Male><Female>125,239</Female></row>
<row _id="2"><Year>2008-09</Year><Total>327,419</Total><Male>203,841</Male><Female>123,578</Female></row>
<row _id="3"><Year>2009-10</Year><Total>329,523</Total><Male>203,752</Male><Female>125,771</Female></row>
<row _id="4"><Year>2010-11</Year><Total>326,897</Total><Male>200,758</Male><Female>126,139</Female></row>
<row _id="5"><Year>2011-12</Year><Total>318,198</Total><Male>200,630</Male><Female>117,568</Female></row>
<row _id="6"><Year>2012-13</Year><Total>312,377</Total><Male>193,036</Male><Female>119,341</Female></row>
<row _id="7"><Year>2013-14</Year><Total>300,750</Total><Male>184,519</Male><Female>116,231</Female></row>
<row _id="8"><Year>2014-15</Year><Total>296,886</Total><Male>181,587</Male><Female>115,299</Female></row>
<row _id="9"><Year>2015-16</Year><Total>306,581</Total><Male>184,239</Male><Female>122,342</Female></row>
<row _id="10"><Year>2016-17</Year><Total>311,952</Total><Male>182,575</Male><Female>129,377</Female></row>
<row _id="11"><Year>2017-18(P)</Year><Total>353,496</Total><Male>200,190</Male><Female>153,306</Female></row>
</data>
