<data>
<row _id="1"><Year>2010-11</Year><Broad gauge>126987</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>126987</Total></row>
<row _id="2"><Year>2011-12</Year><Broad gauge>61392</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>61392</Total></row>
<row _id="3"><Year>2012-13</Year><Broad gauge>46640</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>46640</Total></row>
<row _id="4"><Year>2013-14</Year><Broad gauge>76307</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>76307</Total></row>
<row _id="5"><Year>2014-15</Year><Broad gauge>176155</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>176155</Total></row>
<row _id="6"><Year>2015-16</Year><Broad gauge>243794</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>243794</Total></row>
<row _id="7"><Year>2016-17</Year><Broad gauge>264256</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>264256</Total></row>
<row _id="8"><Year>2017-18</Year><Broad gauge>326514</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>326514</Total></row>
<row _id="9"><Year>2018-19</Year><Broad gauge>321453</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>321453</Total></row>
<row _id="10"><Year>2019-20</Year><Broad gauge>297471</Broad gauge><Metre gauge> ---  </Metre gauge><Narrow gauge> ---  </Narrow gauge><Total>297471</Total></row>
</data>
