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Date:
superfast

Udupi to Nagda Jn trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
MARUSAGAR SF EX
12977
05:32
UD
06:45
NAD
25:13 M - - - - - - Status
% Status
% Status
% Status
% Status
%
TVCN INDB SF EX
20931
23:38
UD
00:18
NAD
24:40 - - - - F - - - - Status
% Status
% Status
% Status
%
Interesting facts about Udupi to Nagda Jn trains

2 trains run from Udupi to Nagda Jn , including 2 superfast trains.
The fastest train from Udupi to Nagda Jn is 20931 TVCN INDB SF EX which travels a distance of 1476 kms in just 24 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 Udupi to Nagda Jn is Rs 4135 in First AC (1A), Rs 2390 in Second AC (2A), Rs 1655 in Third AC (3A) and Rs 620 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2915 in Second AC (2A), Rs 2075 in Third AC (3A) and Rs 795 in Sleeper (SL).
Important railway stations in this route are Karwar, Goa Madgaon, Ratnagiri, Panvel, Vasai Road, Vapi, Surat, Vadodara Jn, Dahod and Ratlam Jn.
Udupi has 1 stations namely Udupi while Nagda Jn has 1 stations namely Nagda 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.