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Date:
superfast

Nagda Jn to Goa trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
INDB KCVL EXP
20932
00:07
NAD
21:15
MAO
21:08 - - W - - - - - - Status
% Status
% Status
% Status
%
MARU SAGAR EXP
12978
19:00
NAD
14:20
MAO
19:20 - - - - F - - Status
% Status
% Status
% Status
% Status
%
Interesting facts about Nagda Jn to Goa trains

2 trains run from Nagda Jn to Goa , including 2 superfast trains.
The fastest train from Nagda Jn to Goa is 12978 MARU SAGAR EXP which travels a distance of 1225 kms in just 19 hours and 20 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 Goa is Rs 3640 in First AC (1A), Rs 2100 in Second AC (2A), Rs 1460 in Third AC (3A) and Rs 545 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2625 in Second AC (2A), Rs 1880 in Third AC (3A) and Rs 700 in Sleeper (SL).
Important railway stations in this route are Ratlam Jn, Dahod, Vadodara Jn, Surat, Vapi, Boisar, Vasai Road, Panvel, Chiplun and Ratnagiri.
Nagda Jn has 1 stations namely Nagda Jn while Goa has 4 stations namely Goa Madgaon, Vasco Da Gama, Karmali and Thivim.
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.