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Date:
rajdhani express

Kishanganj to Tangla trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % SL %
KAMRUP EXPRESS
15961
03:40
KNE
14:15
TNL 		10:35 - T - - - S - - - Status
% Status
% Status
%
DBRG RAJDHANI
20506
10:00
KNE
18:30
TNL 		08:30 M - - - F - - Status
% Status
% Status
% - -
Interesting facts about Kishanganj to Tangla trains

2 trains run from Kishanganj to Tangla , including 1 rajdhani express.
The fastest train from Kishanganj to Tangla is 20506 DBRG RAJDHANI which travels a distance of 486 kms in just 8 hours and 30 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 Kishanganj to Tangla is Rs 1105 in Second AC (2A), Rs 775 in Third AC (3A), Rs 290 in Sleeper (SL) and Rs 2115 in First AC (1A) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1540 in Second AC (2A), Rs 1105 in Third AC (3A) and Rs 395 in Sleeper (SL).
Important railway stations in this route are Ambika Kalna, New Jalpaiguri, New Cooch Behar, New Alipurdaur, Kamakhyaguri, Kokrajhar, New Bongaigaon, Rangiya Jn and North Lakhimpur.
Kishanganj has 1 stations namely Kishanganj while Tangla has 1 stations namely Tangla.
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.