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Date:
express

Goshainganj to Bina Jn trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
SABARMATI EXP
19166
17:46
GGJ
08:25
BINA
14:39 M - W - - S - Status
% Status
% Status
% Status
% Status
%
SABARMATI EXP
19168
17:46
GGJ
08:25
BINA
14:39 - T - T F - S Status
% Status
% Status
% Status
% Status
%
Interesting facts about Goshainganj to Bina Jn trains

2 trains run from Goshainganj to Bina Jn .
The fastest train from Goshainganj to Bina Jn is 19166 SABARMATI EXP which travels a distance of 612 kms in just 14 hours and 39 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 Goshainganj to Bina Jn is Rs 2255 in First AC (1A), Rs 1355 in Second AC (2A), Rs 950 in Third AC (3A) and Rs 350 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1775 in Second AC (2A), Rs 1265 in Third AC (3A) and Rs 450 in Sleeper (SL).
Important railway stations in this route are Ayodhya, Rudauli, Barabanki Jn, Lucknow, Unnao Jn, Kanpur Central, Pokhrayan, Orai, Babina and Lalitpur.
Goshainganj has 1 stations namely Goshainganj while Bina Jn has 2 stations namely Bina Jn and Malkheri.
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.