×
Trainman AppGet the mobile app
      Indian Rail Predictions
Please refresh your page after installing the extension.
For using trainman further, please install chrome extension for it to work effectively
Date:
express

Ayodhya Cantt to Nawa City trains

<     >
Train Dep Arr Travel M T W T F S S 2A % 3A % 3E % SL %
MARUDHAR EXP
14853
20:53
AYC
14:17
NAC 		17:24 M - W - - S - Status
% Status
% Status
% Status
%
Interesting facts about Ayodhya Cantt to Nawa City trains

1 trains run from Ayodhya Cantt to Nawa City .
The fastest train from Ayodhya Cantt to Nawa City is 14853 MARUDHAR EXP which travels a distance of 786 kms in just 17 hours and 24 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 Ayodhya Cantt to Nawa City is Rs 1600 in Second AC (2A), Rs 1120 in Third AC (3A) and Rs 415 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2060 in Second AC (2A), Rs 1440 in Third AC (3A) and Rs 530 in Sleeper (SL).
Important railway stations in this route are Varanasi City.
Ayodhya Cantt has 1 stations namely Ayodhya Cantt while Nawa City has 1 stations namely Nawa City.
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.