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Date:
express

Mughalsarai to Khanna trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
KOAA JAT EXPRES
13151
01:30
DDU
02:22
KNN 		24:52 M T W T F S S - - Status
% Status
% Status
% Status
%
GANGASUTLEJ EXP
13307
04:25
DDU
05:33
KNN 		25:08 M T W T F S S Status
% Status
% Status
% Status
% Status
%
Interesting facts about Mughalsarai to Khanna trains

2 trains run from Mughalsarai to Khanna .
The fastest train from Mughalsarai to Khanna is 13151 KOAA JAT EXPRES which travels a distance of 1012 kms in just 24 hours and 52 minutes.
The most punctual train in this route is which reaches with an average delay of just NA.
The least punctual train in this route is which reaches with an average delay of NA.
The minimum fare for trains from Mughalsarai to Khanna is Rs 1890 in Second AC (2A), Rs 1320 in Third AC (3A), Rs 490 in Sleeper (SL) and Rs 3195 in First AC (1A) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2415 in Second AC (2A), Rs 1700 in Third AC (3A) and Rs 630 in Sleeper (SL).
Important railway stations in this route are Varanasi Jn, Barabanki Jn, Lucknow, Shahjehanpur, Bareilly, Moradabad, Roorkee, Saharanpur, Ambala Cant Jn and Rajpura Jn.
Mughalsarai has 1 stations namely Deendayal Upadhyaya Jn 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.