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Date:
express

Sant Hirdaram Nagar to Aonla trains

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Train Dep Arr Travel M T W T F S S 2A % 3A % SL %
BAREILLY EXP
14313
21:15
RKMP
14:03
AO
16:48 M - - - - - - Status
% Status
% Status
%
INDB BARELLY EXP
14319
21:20
SHRN
14:03
AO
16:43 - - - T - - - Status
% Status
% Status
%
Interesting facts about Sant Hirdaram Nagar to Aonla trains

2 trains run from Sant Hirdaram Nagar to Aonla .
The fastest train from Sant Hirdaram Nagar to Aonla is 14319 INDB BARELLY EXP which travels a distance of 756 kms in just 16 hours and 43 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 Sant Hirdaram Nagar to Aonla is Rs 1560 in Second AC (2A), Rs 1090 in Third AC (3A) and Rs 405 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2015 in Second AC (2A), Rs 1405 in Third AC (3A) and Rs 520 in Sleeper (SL).
Important railway stations in this route are Vidisha, Bina Jn, Gwalior Jn, Morena, Agra Cantt, Agra Fort, Aligarh Jn, Babrala, Chandausi Jn and Dabtara.
Sant Hirdaram Nagar has 3 stations namely Bhopal Jn, Sant Hirdaram Nagar and Rani Kamlapati while Aonla has 1 stations namely Aonla.
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.