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Date:
express humsafar

Naihati Jn to Kishanganj trains

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Train Dep Arr Travel M T W T F S S 2A % 3A % SL %
Sealdah Jalpaiguri Road Humsafar Express
13115
00:20
NH
08:31
KNE
08:11 - - - - - S - - - Status
% Status
%
KOAA DBRG SPL
05931
03:22
NH
11:20
KNE
07:58 M - - - - - - Status
% Status
% Status
%
SDAH LMG SPECIAL
03105
09:52
NH
17:15
KNE
07:23 - - - - F - - Status
% Status
% Status
%
KOAA SCL SPL
05640
14:40
NH
23:40
KNE
09:00 - - - - F - - Status
% Status
% Status
%
Interesting facts about Naihati Jn to Kishanganj trains

4 trains run from Naihati Jn to Kishanganj .
The fastest train from Naihati Jn to Kishanganj is 03105 SDAH LMG SPECIAL which travels a distance of 448 kms in just 7 hours and 23 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 Naihati Jn to Kishanganj is in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from .
Important railway stations in this route are Bandel Jn, Nabadwip Dham, Katwa, Azimganj Jn, Jangipur Road, New Farakka Jn, Malda Town, Samsi, Kumedpur and Barsoi Jn.
Naihati Jn has 1 stations namely Naihati Jn 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.