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Ghagwal to Samba trains

14645
Shalimar Express
GHGL ()
Ghagwal
11 min
SMBX ()
Samba
2A
₹ 700
3A
₹ 495
SL
₹ 140
74909
Pathankot Udhampur DMU
GHGL ()
Ghagwal
07 min
SMBX ()
Samba
No class available for this train
74907
Pathankot Jn. Udhampur DEMU
GHGL ()
Ghagwal
10 min
SMBX ()
Samba
No class available for this train
19223
Ahmedabad Jammu Tawi Express
GHGL ()
Ghagwal
11 min
SMBX ()
Samba
2A
₹ 700
3A
₹ 495
SL
₹ 140
info

Ghagwal to Samba train Seat Availability

Train seat availability for all 4 trains that run from Ghagwal to Samba can be found in above table.
info

Ghagwal to Samba train Fare

Fare for trains from Ghagwal to Samba is Rs 1165 in First AC (1A), Rs 700 in Second AC (2A), Rs 140 in Sleeper (SL), Rs 30 in None (GN) and Rs 495 in Third AC (3A) in general quota. Tatkal ticket fare and premium tatkal fare in this route starts from Rs 1520 in Second AC (2A), Rs 385 in Sleeper (SL) and Rs 1080 in Third AC (3A).
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Ghagwal to Samba train: Fastest, Slowest, Timely & Most Delayed

The fastest train from Ghagwal to Samba is Pathankot Udhampur DMU (74909) which travels a distance of 9 kms in just 7 mints. The slowest train from Ghagwal to Samba is Shalimar Express (14645) which travels a distance of 9 kms in 11 mints. The most punctual train from Ghagwal to Samba is Pathankot Jn. Udhampur DEMU (74907) which reaches Samba with an average delay of just 7 mints. The most delayed train from Ghagwal to Samba is Pathankot Udhampur DMU (74909) which reaches Samba with an average delay of over 28 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.