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express rajdhani

Tangla to Kishanganj trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % SL %
RAJDHANI EXP
20505
04:52
TNL
13:20
KNE
08:28 - T - - - S - Status
% Status
% Status
% - -
KAMRUP EXPRESS
15962
08:42
TNL
18:45
KNE
10:03 M - - - F - - - - Status
% Status
% Status
%
Interesting facts about Tangla to Kishanganj trains

2 trains run from Tangla to Kishanganj , including 1 rajdhani express.
The fastest train from Tangla to Kishanganj is 20505 RAJDHANI EXP which travels a distance of 486 kms in just 8 hours and 28 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 Tangla to Kishanganj 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 Rangiya Jn, Barpeta Road, New Bongaigaon, Kokrajhar, New Alipurdaur, New Cooch Behar, Dhupguri, Jalpaiguri Road, New Jalpaiguri and Aluabari Road.
Tangla has 1 stations namely Tangla while Kishanganj has 1 stations namely Kishanganj.
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.