Please read the following table in HTML format from a webpage and then answer the question in detail according to the table. Each table cell is defined by a <td> and a </td> tag. Each table row starts with a <tr> and ends with a </tr> tag. 'rowspan=m' and 'colspan=n' represents a cell spaning over 'm' rows and 'n' columns.

Webpage title:
List of cities in India by population
Table title:
1 to 25
Table:
<table id='hittask' contenteditable='False'>
<tr> <th colspan=1 rowspan=1 > Rank </th><th colspan=1 rowspan=1 > City </th><th colspan=1 rowspan=1 > Population (2011) </th><th colspan=1 rowspan=1 > Population (2001) </th><th colspan=1 rowspan=1 > State or union territory </th><th colspan=1 rowspan=1 > Ref </th></tr>
<tr> <td colspan=1 rowspan=1 > 1 </td><td colspan=1 rowspan=1 > Mumbai </td><td colspan=1 rowspan=1 > 12,442,373 </td><td colspan=1 rowspan=1 > 11,978,450 </td><td colspan=1 rowspan=1 > Maharashtra </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 2 </td><td colspan=1 rowspan=1 > Delhi </td><td colspan=1 rowspan=1 > 11,034,555 </td><td colspan=1 rowspan=1 > 9,879,172 </td><td colspan=1 rowspan=1 > Delhi </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td class="highlighted"  colspan=1 rowspan=1 > 3 </td><td class="highlighted"  colspan=1 rowspan=1 > Bangalore </td><td colspan=1 rowspan=1 > 8,443,675 </td><td colspan=1 rowspan=1 > 4,301,326 </td><td colspan=1 rowspan=1 > Karnataka </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 4 </td><td colspan=1 rowspan=1 > Hyderabad </td><td colspan=1 rowspan=1 > 6,731,790 </td><td colspan=1 rowspan=1 > 3,637,483 </td><td colspan=1 rowspan=1 > Telangana </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 5 </td><td colspan=1 rowspan=1 > Ahmedabad </td><td colspan=1 rowspan=1 > 5,577,940 </td><td colspan=1 rowspan=1 > 3,520,085 </td><td colspan=1 rowspan=1 > Gujarat </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 6 </td><td colspan=1 rowspan=1 > Chennai </td><td colspan=1 rowspan=1 > 4,646,732 </td><td colspan=1 rowspan=1 > 4,343,645 </td><td colspan=1 rowspan=1 > Tamil Nadu </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 7 </td><td colspan=1 rowspan=1 > Kolkata </td><td colspan=1 rowspan=1 > 4,496,694 </td><td colspan=1 rowspan=1 > 4,572,876 </td><td colspan=1 rowspan=1 > West Bengal </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 8 </td><td colspan=1 rowspan=1 > Surat </td><td colspan=1 rowspan=1 > 4,467,797 </td><td colspan=1 rowspan=1 > 2,433,835 </td><td colspan=1 rowspan=1 > Gujarat </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 9 </td><td colspan=1 rowspan=1 > Pune </td><td colspan=1 rowspan=1 > 3,124,458 </td><td colspan=1 rowspan=1 > 2,538,473 </td><td colspan=1 rowspan=1 > Maharashtra </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 10 </td><td colspan=1 rowspan=1 > Jaipur </td><td colspan=1 rowspan=1 > 3,046,163 </td><td colspan=1 rowspan=1 > 2,322,575 </td><td colspan=1 rowspan=1 > Rajasthan </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 11 </td><td colspan=1 rowspan=1 > Lucknow </td><td colspan=1 rowspan=1 > 2,817,105 </td><td colspan=1 rowspan=1 > 2,185,927 </td><td colspan=1 rowspan=1 > Uttar Pradesh </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 12 </td><td colspan=1 rowspan=1 > Kanpur </td><td colspan=1 rowspan=1 > 2,765,348 </td><td colspan=1 rowspan=1 > 2,551,337 </td><td colspan=1 rowspan=1 > Uttar Pradesh </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 13 </td><td colspan=1 rowspan=1 > Nagpur </td><td colspan=1 rowspan=1 > 2,405,665 </td><td colspan=1 rowspan=1 > 2,052,066 </td><td colspan=1 rowspan=1 > Maharashtra </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 14 </td><td colspan=1 rowspan=1 > Indore </td><td colspan=1 rowspan=1 > 1,964,086 </td><td colspan=1 rowspan=1 > 1,474,968 </td><td colspan=1 rowspan=1 > Madhya Pradesh </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 15 </td><td colspan=1 rowspan=1 > Thane </td><td colspan=1 rowspan=1 > 1,841,488 </td><td colspan=1 rowspan=1 > 1,262,551 </td><td colspan=1 rowspan=1 > Maharashtra </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 16 </td><td colspan=1 rowspan=1 > Bhopal </td><td colspan=1 rowspan=1 > 1,798,218 </td><td colspan=1 rowspan=1 > 1,437,354 </td><td colspan=1 rowspan=1 > Madhya Pradesh </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 17 </td><td colspan=1 rowspan=1 > Visakhapatnam </td><td colspan=1 rowspan=1 > 1,728,128 </td><td colspan=1 rowspan=1 > 982,904 </td><td colspan=1 rowspan=1 > Andhra Pradesh </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 18 </td><td colspan=1 rowspan=1 > Pimpri-Chinchwad </td><td colspan=1 rowspan=1 > 1,727,692 </td><td colspan=1 rowspan=1 > 1,012,472 </td><td colspan=1 rowspan=1 > Maharashtra </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 19 </td><td colspan=1 rowspan=1 > Patna </td><td colspan=1 rowspan=1 > 1,684,222 </td><td colspan=1 rowspan=1 > 1,366,444 </td><td colspan=1 rowspan=1 > Bihar </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 20 </td><td colspan=1 rowspan=1 > Vadodara </td><td colspan=1 rowspan=1 > 1,670,806 </td><td colspan=1 rowspan=1 > 1,306,227 </td><td colspan=1 rowspan=1 > Gujarat </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 21 </td><td colspan=1 rowspan=1 > Ghaziabad </td><td colspan=1 rowspan=1 > 1,648,643 </td><td colspan=1 rowspan=1 > 968,256 </td><td colspan=1 rowspan=1 > Uttar Pradesh </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 22 </td><td colspan=1 rowspan=1 > Ludhiana </td><td colspan=1 rowspan=1 > 1,618,879 </td><td colspan=1 rowspan=1 > 1,398,467 </td><td colspan=1 rowspan=1 > Punjab </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 23 </td><td colspan=1 rowspan=1 > Agra </td><td colspan=1 rowspan=1 > 1,585,704 </td><td colspan=1 rowspan=1 > 1,275,134 </td><td colspan=1 rowspan=1 > Uttar Pradesh </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 24 </td><td colspan=1 rowspan=1 > Nashik </td><td colspan=1 rowspan=1 > 1,486,053 </td><td colspan=1 rowspan=1 > 1,077,236 </td><td colspan=1 rowspan=1 > Maharashtra </td><td colspan=1 rowspan=1 >  </td></tr>
<tr> <td colspan=1 rowspan=1 > 25 </td><td colspan=1 rowspan=1 > Faridabad </td><td colspan=1 rowspan=1 > 1,414,050 </td><td colspan=1 rowspan=1 > 1,055,938 </td><td colspan=1 rowspan=1 > Haryana </td><td colspan=1 rowspan=1 >  </td></tr>
</table>
Question:
What is the third-most populous city in India?
Answer:
Bangalore is the third-most populous city in India.