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Date:
superfast

Jhargram to Anugraha Narayan Road trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
NEELACHAL SF EX
12875
17:47
JGM
03:56
AUBR
10:09 - T - - F - S Status
% Status
% Status
% Status
% Status
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Interesting facts about Jhargram to Anugraha Narayan Road trains

1 trains run from Jhargram to Anugraha Narayan Road , including 1 superfast trains.
The fastest train from Jhargram to Anugraha Narayan Road is 12875 NEELACHAL SF EX which travels a distance of 522 kms in just 10 hours and 9 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 Jhargram to Anugraha Narayan Road is Rs 2100 in First AC (1A), Rs 1265 in Second AC (2A), Rs 905 in Third AC (3A) and Rs 345 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1685 in Second AC (2A), Rs 1220 in Third AC (3A) and Rs 445 in Sleeper (SL).
Important railway stations in this route are Ghatsila, Tatanagar Jn, Muri, Bokaro Steel City, Chandrapura, Gomoh Jn, Parasnath, Koderma, Gaya Jn and Rafiganj.
Jhargram has 1 stations namely Jhargram while Anugraha Narayan Road has 1 stations namely Anugraha Narayan Road.
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.