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Date:
superfast express

Pali Marwar to Washim trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % SL %
SGNR NED SF EXP
22724
01:15
PMY
22:29
WHM
21:14 - - - - - - S Status
% Status
% Status
% Status
%
BGKT KCG EXPRESS
17606
23:35
PMY
03:54
WHM
28:19 M T W T F S S - - Status
% Status
% Status
%
Interesting facts about Pali Marwar to Washim trains

2 trains run from Pali Marwar to Washim , including 1 superfast trains.
The fastest train from Pali Marwar to Washim is 22724 SGNR NED SF EXP which travels a distance of 1167 kms in just 21 hours and 14 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 Pali Marwar to Washim is Rs 2100 in Second AC (2A), Rs 1470 in Third AC (3A), Rs 560 in Sleeper (SL) and Rs 3545 in First AC (1A) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2625 in Second AC (2A), Rs 1885 in Third AC (3A) and Rs 715 in Sleeper (SL).
Important railway stations in this route are Abu Road, Palanpur Jn, Mahesana Jn, Nadiad Jn, Anand Jn, Vadodara Jn, Bharuch Jn, Jalgaon Jn, Bhusaval Jn and Akola Jn.
Pali Marwar has 1 stations namely Pali Marwar while Washim has 1 stations namely Washim.
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.