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Date:
superfast ac-superfast

Ongole 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
00:15
OGL
10:57
MKN 		34:42 - - - - F - - Status
% Status
% Status
% - -
MQ BGKT SF EXP
22674
00:15
OGL
10:57
MKN 		34:42 - T - - - - - - - Status
% Status
% Status
%
Interesting facts about Ongole to Makrana Jn trains

2 trains run from Ongole to Makrana Jn , including 1 superfast trains.
The fastest train from Ongole to Makrana Jn is 22631 ANUVRAT SF EXP which travels a distance of 2011 kms in just 34 hours and 42 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 Ongole to Makrana Jn is Rs 5080 in First AC (1A), Rs 2980 in Second AC (2A), Rs 2065 in Third AC (3A) and Rs 790 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 3505 in Second AC (2A), Rs 2485 in Third AC (3A) and Rs 990 in Sleeper (SL).
Important railway stations in this route are Vijayawada Jn, Warangal, Balharshah, Nagpur, Itarsi Jn, Bhopal Jn, Nagda Jn, Kota Jn, Sawai Madhopur and Jaipur.
Ongole has 1 stations namely Ongole 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.