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Date:
express

Nakaha Jungle to Anand Nagar trains

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Train Dep Arr Travel M T W T F S S 2A % 3A % 3E % CC % 2S %
GKP ASH EXPRESS
15069
04:00
JEA
04:37
ANDN
00:37 M T W T F S S Status
% Status
% Status
% Status
% Status
%
GKP GTNR EXP
15081
12:38
JEA
13:42
ANDN
01:04 M T W T F S S - - - - - - Status
% Status
%
Interesting facts about Nakaha Jungle to Anand Nagar trains

2 trains run from Nakaha Jungle to Anand Nagar .
The fastest train from Nakaha Jungle to Anand Nagar is 15069 GKP ASH EXPRESS which travels a distance of 36 kms in just 37 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 Nakaha Jungle to Anand Nagar is Rs 700 in Second AC (2A), Rs 495 in Third AC (3A), Rs 260 in Chair Car (CC) and Rs 45 in Second Seater (2S) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1285 in Second AC (2A), Rs 925 in Third AC (3A), Rs 630 in Chair Car (CC) and Rs 150 in Second Seater (2S).
Important railway stations in this route are Peppeganj, Campierganj, Tulsipur, Balrampur and Gonda Jn.
Nakaha Jungle has 1 stations namely Nakaha Jungle while Anand Nagar has 1 stations namely Anand Nagar.
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.