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Date:
superfast splf express

Kannur to Sangmeshwar trains

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Train Dep Arr Travel M T W T F S S 2A % 3A % 3E % SL %
Thiruvananthapuram North (Kochuveli) Mumbai LTT Summer Special
01064
02:03
CAN
16:18
SGR 		14:15 M T W T F S S Status
% Status
% - - Status
%
ED BME SF SPL
06097
13:25
CAN
05:40
SGR 		16:15 - T - - - - - - - Status
% - - Status
%
NETHRAVATHI EXP
16346
19:35
CAN
10:24
SGR 		14:49 M T W T F S S Status
% Status
% Status
% Status
%
Interesting facts about Kannur to Sangmeshwar trains

3 trains run from Kannur to Sangmeshwar , including 1 superfast trains.
The fastest train from Kannur to Sangmeshwar is 01064 Thiruvananthapuram North (Kochuveli) Mumbai LTT Summer Special which travels a distance of 716 kms in just 14 hours and 15 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 Kannur to Sangmeshwar is in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from .
Important railway stations in this route are Kasaragod, Mangalore Jn, Udupi, Mookambika Road, Bhatkal, Karwar, Goa Madgaon, Thivim, Kudal and Ratnagiri.
Kannur has 1 stations namely Kannur while Sangmeshwar has 1 stations namely Sangmeshwar.
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.