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Date:
express

Godhra Jn to Dakaniya Talav trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
AVADH EXP
19037
05:08
GDA
12:13
DKNT
07:05 M T W T F S S Status
% Status
% Status
% Status
% Status
%
BDTS HW EXP
19019
08:03
GDA
17:15
DKNT
09:12 M T W T F S S Status
% Status
% Status
% Status
% Status
%
Interesting facts about Godhra Jn to Dakaniya Talav trains

2 trains run from Godhra Jn to Dakaniya Talav .
The fastest train from Godhra Jn to Dakaniya Talav is 19037 AVADH EXP which travels a distance of 444 kms in just 7 hours and 5 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 Godhra Jn to Dakaniya Talav is Rs 1735 in First AC (1A), Rs 1035 in Second AC (2A), Rs 730 in Third AC (3A) and Rs 270 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1540 in Second AC (2A), Rs 1105 in Third AC (3A) and Rs 395 in Sleeper (SL).
Important railway stations in this route are Vadodara Jn, Valsad, Dahod, Meghnagar, Ratlam Jn, Nagda Jn, Shamgarh, Sawai Madhopur, Etawah and Barauni Jn.
Godhra Jn has 1 stations namely Godhra Jn while Dakaniya Talav has 1 stations namely Dakaniya Talav.
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.