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Date:
superfast express

Thrisur to Nagda Jn trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
TVC NZM SPL
06033
13:00
TCR
00:18
NAD
35:18 - - - - - S - - - - - Status
% - - Status
%
TVCN INDB SF EX
20931
15:40
TCR
00:18
NAD
32:38 - - - - F - - - - Status
% Status
% Status
% Status
%
MARUSAGAR SF EX
12977
21:48
TCR
06:45
NAD
32:57 - - - - - - S Status
% Status
% Status
% Status
% Status
%
Interesting facts about Thrisur to Nagda Jn trains

3 trains run from Thrisur to Nagda Jn , including 2 superfast trains.
The fastest train from Thrisur to Nagda Jn is 20931 TVCN INDB SF EX which travels a distance of 1880 kms in just 32 hours and 38 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 Thrisur to Nagda Jn is Rs 4865 in First AC (1A) and Rs 2810 in Second AC (2A) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 3335 in Second AC (2A).
Important railway stations in this route are Shoranur Jn, Kozhikode, Kannur, Goa Madgaon, Panvel, Vasai Road, Vapi, Surat, Vadodara Jn and Ratlam Jn.
Thrisur has 1 stations namely Thrisur 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.