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Balasore to Naila trains

Thu, October 25
Trains Dep Arr Time MTWTFSS 2A 3A SL
Trains Dep Arr Time MTWTFSS 2A 3A SL
Kalinga Utkal Express
18477


BLS


NIA
12:28
M T W T F S S
Availability
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Availability
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Availability
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What is Yuva qouta?
Hello @yogesh_tripathi The Yuva quota is basically a quota for unemployed persons in the age group of 18 to 45 years. Yuva quota is applicable for Yuva Trains only, you must have heard of these trai…
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Balasore to Naila train Seat Availability

Train seat availability for all 1 trains that run from Balasore to Naila can be found in above table.

Balasore to Naila train Fare

Fare for trains from Balasore to Naila is Rs 195 in None (GN), Rs 980 in Third AC (3A), Rs 1415 in Second AC (2A) and Rs 360 in Sleeper (SL) in general quota. Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1295 in Third AC (3A), Rs 1835 in Second AC (2A) and Rs 460 in Sleeper (SL).

Balasore to Naila train: Fastest, Slowest, Timely & Most Delayed

The fastest train from Balasore to Naila is Kalinga Utkal Express (18477) which travels a distance of 672 kms in just 12 hrs 28 mints. The slowest train from Balasore to Naila is Kalinga Utkal Express (18477) which travels a distance of 672 kms in 12 hrs 28 mints. The most punctual train from Balasore to Naila is Kalinga Utkal Express (18477) which reaches Naila with an average delay of just 55 mints. The most delayed train from Balasore to Naila is Kalinga Utkal Express (18477) which reaches Naila with an average delay of over 55 mints.
Note:
  • 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 and .
  • 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.