<data>
<row _id="1"><Year>2007-08</Year><Total>3,456,240</Total><Male>2,076,356</Male><Female>1,379,884</Female></row>
<row _id="2"><Year>2008-09</Year><Total>3,415,258</Total><Male>2,032,989</Male><Female>1,382,269</Female></row>
<row _id="3"><Year>2009-10</Year><Total>3,489,229</Total><Male>2,075,942</Male><Female>1,413,287</Female></row>
<row _id="4"><Year>2010-11</Year><Total>3,607,331</Total><Male>2,119,678</Male><Female>1,487,653</Female></row>
<row _id="5"><Year>2011-12</Year><Total>3,712,831</Total><Male>2,153,432</Male><Female>1,559,399</Female></row>
<row _id="6"><Year>2012-13</Year><Total>3,771,040</Total><Male>2,176,832</Male><Female>1,594,208</Female></row>
<row _id="7"><Year>2013-14</Year><Total>3,852,793</Total><Male>2,209,522</Male><Female>1,643,271</Female></row>
<row _id="8"><Year>2014-15</Year><Total>3,835,588</Total><Male>2,209,159</Male><Female>1,626,429</Female></row>
<row _id="9"><Year>2015-16</Year><Total>3,770,707</Total><Male>2,155,571</Male><Female>1,615,136</Female></row>
<row _id="10"><Year>2016-17</Year><Total>3,793,553</Total><Male>2,138,103</Male><Female>1,655,450</Female></row>
<row _id="11"><Year>2017-18(P)</Year><Total>4,014,198</Total><Male>2,239,686</Male><Female>1,774,512</Female></row>
</data>
