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Date:
express

Kolkata to Khanna trains

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Train Dep Arr Travel M T W T F S S 2A % 3A % SL %
JAMMU TAWI EXP
13151
11:45
KOAA
00:29
KNN
36:44 M T W T F S S Status
% Status
% Status
%
AMRITSAR EXP
13049
13:50
HWH
06:14
KNN
40:24 M T W T F S S - - Status
% Status
%
Interesting facts about Kolkata to Khanna trains

2 trains run from Kolkata to Khanna .
The fastest train from Kolkata to Khanna is 13151 JAMMU TAWI EXP which travels a distance of 1681 kms in just 36 hours and 44 minutes.
The most punctual train in this route is 13049 AMRITSAR EXP which reaches Khanna with an average delay of just 9 minutes.
The least punctual train in this route is 13151 JAMMU TAWI EXP which reaches Khanna with an average delay of 1 hours and 13 minutes.
The minimum fare for trains from Kolkata to Khanna is Rs 1715 in Third AC (3A), Rs 2515 in Second AC (2A) and Rs 640 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2130 in Third AC (3A), Rs 3040 in Second AC (2A) and Rs 825 in Sleeper (SL).
Important railway stations in this route are Barddhaman Jn, Andal Jn, Asansol Jn, Mughal Sarai Jn, Varanasi Jn, Lucknow, Shahjehanpur, Pitambarpur, Moradabad and Ambala Cant Jn.
Kolkata has 5 stations namely Howrah Jn, Kolkata Chitpur, Kolkata Sealdah, Santragachi Jn and Kolkata Shalimar while Khanna has 1 stations namely Khanna.
Note:
  • Colored clock icon under Dep and Arr column signify punctuality of the train based on average delay over last 7 days.
        - Average delay is more than 2 hours.     - Average delay is less than 2 hours.
  • RAC is considered as confirmed for evaluating confirmation chances.
  • Colors under confirmation chances mean following:
       Red - Not likely to confirm.    yellow - Difficult to say if this will confirm or not.    Green - Very likely to confirm.
  • Seat availability and berth status functionality may not be available between 11:30 pm and 12:30 am.
  • Disclaimer - Trainman is in no way affiliated to Indian Railways, therefore some times, the information shown may not be accurate. Trainman also does not claim 100% accuracy on any prediction done for waitlisted tickets.