×
Trainman AppGet the mobile app
      Indian Rail Predictions
Please refresh your page after installing the extension.
For using trainman further, please install chrome extension for it to work effectively
Date:
superfast

Kolayat to Nawa City trains

<     >
Train Dep Arr Travel M T W T F S S 3A % SL %
LEELAN EXP
12467
04:45
KLYT
11:02
NAC 		06:17 M T W T F S S Status
% Status
%
Interesting facts about Kolayat to Nawa City trains

1 trains run from Kolayat to Nawa City , including 1 superfast trains.
The fastest train from Kolayat to Nawa City is 12467 LEELAN EXP which travels a distance of 340 kms in just 6 hours and 17 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 Kolayat to Nawa City is Rs 645 in Third AC (3A) and Rs 255 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1150 in Third AC (3A) and Rs 425 in Sleeper (SL).
Important railway stations in this route are Lalgarh Jn, Bikaner Jn, Deshnok, Nokha, Nagaur, Merta Road Jn, Ren, Degana Jn, Makrana Jn and Kuchaman City.
Kolayat has 1 stations namely Kolayat while Nawa City has 1 stations namely Nawa City.
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.