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Date:
ac-superfast superfast

Nellore to Makrana Jn trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % SL %
ANUVRAT SF EXP
22631
22:45
NLR
10:57
MKN 		36:12 - - - T - - - Status
% Status
% Status
% - -
MQ BGKT SF EXP
22674
22:45
NLR
10:57
MKN 		36:12 M - - - - - - - - Status
% Status
% Status
%
Interesting facts about Nellore to Makrana Jn trains

2 trains run from Nellore to Makrana Jn , including 1 superfast trains.
The fastest train from Nellore to Makrana Jn is 22631 ANUVRAT SF EXP which travels a distance of 2127 kms in just 36 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 Nellore to Makrana Jn is Rs 5225 in First AC (1A), Rs 3065 in Second AC (2A), Rs 2120 in Third AC (3A) and Rs 810 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 3590 in Second AC (2A), Rs 2540 in Third AC (3A) and Rs 1010 in Sleeper (SL).
Important railway stations in this route are Ongole, Vijayawada Jn, Warangal, Balharshah, Nagpur, Itarsi Jn, Bhopal Jn, Kota Jn, Sawai Madhopur and Jaipur.
Nellore has 1 stations namely Nellore while Makrana Jn has 1 stations namely Makrana Jn.
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.