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Date:
superfast

Nagda Jn to Kannur trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
INDB KCVL EXP
20932
00:07
NAD
04:57
CAN
28:50 - - W - - - - - - Status
% Status
% Status
% Status
%
MARU SAGAR EXP
12978
19:00
NAD
22:32
CAN
27:32 - - - - F - - Status
% Status
% Status
% Status
% Status
%
Interesting facts about Nagda Jn to Kannur trains

2 trains run from Nagda Jn to Kannur , including 2 superfast trains.
The fastest train from Nagda Jn to Kannur is 12978 MARU SAGAR EXP which travels a distance of 1671 kms in just 27 hours and 32 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 Nagda Jn to Kannur is Rs 4460 in First AC (1A), Rs 2575 in Second AC (2A), Rs 1775 in Third AC (3A) and Rs 665 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 3100 in Second AC (2A), Rs 2195 in Third AC (3A) and Rs 860 in Sleeper (SL).
Important railway stations in this route are Ratlam Jn, Vadodara Jn, Surat, Vapi, Vasai Road, Panvel, Ratnagiri, Goa Madgaon, Mangalore Jn and Kasaragod.
Nagda Jn has 1 stations namely Nagda Jn while Kannur has 1 stations namely Kannur.
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.