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Date:
express

Talbahat to Nadiad 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
05:42
TBT
23:22
ND
17:40 - T - T - - S Status
% Status
% Status
% Status
% Status
%
SABARMATI EXP
19168
05:42
TBT
23:22
ND
17:40 M - W - F S - Status
% Status
% Status
% Status
% Status
%
Interesting facts about Talbahat to Nadiad Jn trains

2 trains run from Talbahat to Nadiad Jn .
The fastest train from Talbahat to Nadiad Jn is 19166 SABARMATI EXP which travels a distance of 877 kms in just 17 hours and 40 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 Talbahat to Nadiad Jn is Rs 2880 in First AC (1A), Rs 1715 in Second AC (2A), Rs 1195 in Third AC (3A) and Rs 445 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2210 in Second AC (2A), Rs 1545 in Third AC (3A) and Rs 570 in Sleeper (SL).
Important railway stations in this route are Kanpur Central, Lalitpur, Bina Jn, Maksi, Ujjain Jn, Nagda Jn, Ratlam Jn, Dahod, Godhra Jn and Anand Jn.
Talbahat has 1 stations namely Talbahat while Nadiad Jn has 1 stations namely Nadiad Jn.
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.