<data>
<row _id="1"><Year>2007-08</Year><Total>156,163</Total><Male>101,730</Male><Female>54,433</Female></row>
<row _id="2"><Year>2008-09</Year><Total>158,338</Total><Male>102,269</Male><Female>56,069</Female></row>
<row _id="3"><Year>2009-10</Year><Total>165,716</Total><Male>105,404</Male><Female>60,312</Female></row>
<row _id="4"><Year>2010-11</Year><Total>167,915</Total><Male>105,867</Male><Female>62,048</Female></row>
<row _id="5"><Year>2011-12</Year><Total>177,448</Total><Male>109,628</Male><Female>67,820</Female></row>
<row _id="6"><Year>2012-13</Year><Total>192,835</Total><Male>117,438</Male><Female>75,397</Female></row>
<row _id="7"><Year>2013-14</Year><Total>196,455</Total><Male>118,190</Male><Female>78,265</Female></row>
<row _id="8"><Year>2014-15</Year><Total>199,762</Total><Male>119,080</Male><Female>80,682</Female></row>
<row _id="9"><Year>2015-16</Year><Total>210,475</Total><Male>121,721</Male><Female>88,754</Female></row>
<row _id="10"><Year>2016-17</Year><Total>216,095</Total><Male>123,355</Male><Female>92,740</Female></row>
<row _id="11"><Year>2017-18(P)</Year><Total>224213</Total><Male>126740</Male><Female>97473</Female></row>
</data>
