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Date:
superfast

Nagda Jn to Anugraha Narayan Road trains

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Train Dep Arr Travel M T W T F S S 2A % 3A % SL %
PARASNATH EXP
12941
06:20
NAD
04:32
AUBR
22:12 - - W - - - - Status
% Status
% Status
%
Interesting facts about Nagda Jn to Anugraha Narayan Road trains

1 trains run from Nagda Jn to Anugraha Narayan Road , including 1 superfast trains.
The fastest train from Nagda Jn to Anugraha Narayan Road is 12941 PARASNATH EXP which travels a distance of 1296 kms in just 22 hours and 12 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 Nagda Jn to Anugraha Narayan Road is Rs 2225 in Second AC (2A), Rs 1560 in Third AC (3A) and Rs 595 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2750 in Second AC (2A), Rs 1980 in Third AC (3A) and Rs 755 in Sleeper (SL).
Important railway stations in this route are Kota Jn, Sawai Madhopur, Gangapur City, Tundla Jn, Kanpur Central, Prayagraj Allahabad Junction, Deendayal Upadhyaya Jn, Bhabua Road, Sasaram and Dehri On Sone.
Nagda Jn has 1 stations namely Nagda Jn 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.