QP1344 Akasa Air - Flight Status

Which is the frequency of flight QP1344?
The flight QP1344 is scheduled to flight on Wednesday, Thursday, Friday, Saturday, Sunday on a weekly basis.

Which is the distance of flight QP1344?
The distance between the two airports is 1709 kilometers.

Are the departure airport and arrival airport at the same Time Zone?
Yes, both airports are in the same timezone.

The following airlines serves the same route between Delhi and Bengaluru:

IndiGo
- Flight Number: 6E176. (On Time performance: 73 - Average Delay: 13 minutes)
- Flight Number: 6E2069. (On Time performance: 95 - Average Delay: 3 minutes)
- Flight Number: 6E2103. (On Time performance: 98 - Average Delay: 2 minutes)
- Flight Number: 6E2109. (On Time performance: 96 - Average Delay: 2 minutes)
- Flight Number: 6E2127. (On Time performance: 92 - Average Delay: 4 minutes)
- Flight Number: 6E2141. (On Time performance: 77 - Average Delay: 13 minutes)
- Flight Number: 6E2327. (On Time performance: 73 - Average Delay: 15 minutes)
- Flight Number: 6E2434. (On Time performance: 91 - Average Delay: 3 minutes)
- Flight Number: 6E2487. (On Time performance: 76 - Average Delay: 14 minutes)
- Flight Number: 6E477. (On Time performance: 67 - Average Delay: 22 minutes)
- Flight Number: 6E5257. (On Time performance: 91 - Average Delay: 5 minutes)
- Flight Number: 6E5269. (On Time performance: 80 - Average Delay: 14 minutes)
- Flight Number: 6E6054. (On Time performance: 76 - Average Delay: 14 minutes)
- Flight Number: 6E6515. (On Time performance: 65 - Average Delay: 20 minutes)

Air India
- Flight Number: AI2409. (On Time performance: 88 - Average Delay: 5 minutes)
- Flight Number: AI2412. (On Time performance: 47 - Average Delay: 27 minutes)
- Flight Number: AI2415. (On Time performance: 85 - Average Delay: 4 minutes)
- Flight Number: AI2417. (On Time performance: 69 - Average Delay: 11 minutes)
- Flight Number: AI2512. (On Time performance: 47 - Average Delay: 27 minutes)
- Flight Number: AI2600. (On Time performance: 75 - Average Delay: 12 minutes)
- Flight Number: AI2651. (On Time performance: 76 - Average Delay: 10 minutes)
- Flight Number: AI2653. (On Time performance: 91 - Average Delay: 4 minutes)
- Flight Number: AI2664. (On Time performance: 69 - Average Delay: 17 minutes)
- Flight Number: AI2801. (On Time performance: 84 - Average Delay: 7 minutes)
- Flight Number: AI2803. (On Time performance: 92 - Average Delay: 3 minutes)
- Flight Number: AI2807. (On Time performance: 64 - Average Delay: 20 minutes)
- Flight Number: AI2809. (On Time performance: 70 - Average Delay: 16 minutes)
- Flight Number: AI2813. (On Time performance: 63 - Average Delay: 21 minutes)
- Flight Number: AI2815. (On Time performance: 75 - Average Delay: 9 minutes)
- Flight Number: AI2817. (On Time performance: 76 - Average Delay: 10 minutes)
- Flight Number: AI2819. (On Time performance: 70 - Average Delay: 12 minutes)
- Flight Number: AI427. (On Time performance: 81 - Average Delay: 14 minutes)

Akasa Air
- Flight Number: QP1335. (On Time performance: 77 - Average Delay: 4 minutes)
- Flight Number: QP1350. (On Time performance: 53 - Average Delay: 26 minutes)

Air India Express
- Flight Number: IX1170. (On Time performance: 92 - Average Delay: 3 minutes)
- Flight Number: IX2508. (On Time performance: 85 - Average Delay: 8 minutes)
- Flight Number: IX2719. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: IX2755. (On Time performance: 62 - Average Delay: 26 minutes)

SpiceJet
- Flight Number: SG151. (On Time performance: 43 - Average Delay: 79 minutes)

It is not possible to calculate the On-Time Performance for this flight accurately due to insufficient or non-representative data, as doing so could lead to misleading conclusions.

Delays analyzed by Week: It is not possible to calculate the On-Time Performance for this flight accurately by weekday due to insufficient or non-representative data, as doing so could lead to misleading conclusions
Delays analyzed by Month: It is not possible to calculate the On-Time Performance for this flight accurately by month due to insufficient or non-representative data, as doing so could lead to misleading conclusions