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Date:
superfast

Chiplun to Sogariya Cabin trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
TVCN ASR SF EXP
12483
06:12
CHI
23:51
KOTA 		17:39 - - - T - - - Status
% Status
% Status
% - - Status
%
TVC NZM SF EXP
22633
14:52
CHI
06:45
KOTA 		15:53 - - - T - - - - - Status
% Status
% Status
% Status
%
Interesting facts about Chiplun to Sogariya Cabin trains

2 trains run from Chiplun to Sogariya Cabin , including 2 superfast trains.
The fastest train from Chiplun to Sogariya Cabin is 22633 TVC NZM SF EXP which travels a distance of 1139 kms in just 15 hours and 53 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 Chiplun to Sogariya Cabin is Rs 3500 in First AC (1A), Rs 2070 in Second AC (2A), Rs 1455 in Third AC (3A) and Rs 555 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2595 in Second AC (2A), Rs 1860 in Third AC (3A) and Rs 705 in Sleeper (SL).
Important railway stations in this route are Panvel, Vasai Road, Surat, Vadodara Jn and Ratlam Jn.
Chiplun has 1 stations namely Chiplun while Sogariya Cabin has 2 stations namely Kota Jn and SOGARIA.
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.