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Date:
express superfast

Ramnagar to Pipalsana trains

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Train Dep Arr Travel M T W T F S S 2A % 3A % SL % CC % 2S %
RMR CDG SF EXP
12527
05:30
RMR
06:43
PLS
01:13 M - - - - - - Status
% Status
% Status
% Status
% Status
%
RMR CDG EXP
15063
05:35
RMR
06:43
PLS
01:08 M - - - - - - Status
% Status
% Status
% Status
% Status
%
Interesting facts about Ramnagar to Pipalsana trains

2 trains run from Ramnagar to Pipalsana , including 1 superfast trains.
The fastest train from Ramnagar to Pipalsana is 15063 RMR CDG EXP which travels a distance of 58 kms in just 1 hours and 8 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 Ramnagar to Pipalsana is Rs 700 in Second AC (2A), Rs 495 in Third AC (3A), Rs 265 in Chair Car (CC), Rs 145 in Sleeper (SL) and Rs 55 in Second Seater (2S) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1370 in Second AC (2A), Rs 985 in Third AC (3A), Rs 690 in Chair Car (CC), Rs 345 in Sleeper (SL) and Rs 165 in Second Seater (2S).
Important railway stations in this route are Kashipur.
Ramnagar has 1 stations namely Ramnagar while Pipalsana has 1 stations namely Pipalsana.
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.