For using trainman further, please install chrome extension for it to work effectively
Date:
express

Pipar Road Jn to Vaishno Devi Katra trains

<     >
Train Dep Arr Travel M T W T F S S 2A % 3A % SL %
GNC JAT EXP
19223
19:45
PPR
18:40
JAT
22:55 M T W T F S S Status
% Status
% Status
%
Interesting facts about Pipar Road Jn to Vaishno Devi Katra trains

1 trains run from Pipar Road Jn to Vaishno Devi Katra .
The fastest train from Pipar Road Jn to Vaishno Devi Katra is 19223 GNC JAT EXP which travels a distance of 974 kms in just 22 hours and 55 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 Pipar Road Jn to Vaishno Devi Katra is Rs 1840 in Second AC (2A), Rs 1285 in Third AC (3A) and Rs 475 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2365 in Second AC (2A), Rs 1655 in Third AC (3A) and Rs 615 in Sleeper (SL).
Important railway stations in this route are Abu Road, Marwar Jn, Gangsar Jaitu and Ghagwal.
Pipar Road Jn has 1 stations namely Pipar Road Jn while Vaishno Devi Katra has 3 stations namely Jammu Tawi, Vaishno Devi Katra and Udhampur.
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.