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Date:
express superfast

Bina Jn to Pipariya trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % SL %
NZM JBP SF EXP
12191
00:02
BINA
04:58
PPI
04:56 M T W T F S S Status
% Status
% Status
% Status
%
VINDHYACHAL EXP
11272
20:50
BINA
10:23
PPI
13:33 M T W T F S S - - - - Status
% Status
%
Interesting facts about Bina Jn to Pipariya trains

2 trains run from Bina Jn to Pipariya , including 1 superfast trains.
The fastest train from Bina Jn to Pipariya is 12191 NZM JBP SF EXP which travels a distance of 297 kms in just 4 hours and 56 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 Bina Jn to Pipariya is Rs 555 in Third AC (3A), Rs 235 in Sleeper (SL), Rs 1255 in First AC (1A) and Rs 760 in Second AC (2A) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1150 in Third AC (3A), Rs 425 in Sleeper (SL) and Rs 1590 in Second AC (2A).
Important railway stations in this route are Saugor, Damoh, Katni Murwara, Sihora Road, Jabalpur, Madan Mahal, Shridham, Narsinghpur, Kareli and Gadarwara.
Bina Jn has 2 stations namely Bina Jn and Malkheri while Pipariya has 1 stations namely Pipariya.
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.