AI2810 Air India - Flight Status

Which is the frequency of flight AI2810?
The flight AI2810 is scheduled to flight on daily basis.

Which is the distance of flight AI2810?
The distance between the two airports is 1709 kilometers.

Which is the flight time of flight AI2810?
The scheduled flight time gate to gate is: 02:50 hours.
The real flight time gate to gate on average is: 03:08 hours.

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 Bengaluru and Delhi:

IndiGo
- Flight Number: 6E175. (On Time performance: 88 - Average Delay: 7 minutes)
- Flight Number: 6E2062. (On Time performance: 88 - Average Delay: 5 minutes)
- Flight Number: 6E2174. (On Time performance: 47 - Average Delay: 23 minutes)
- Flight Number: 6E2186. (On Time performance: 91 - Average Delay: 4 minutes)
- Flight Number: 6E2228. (On Time performance: 82 - Average Delay: 9 minutes)
- Flight Number: 6E2306. (On Time performance: 67 - Average Delay: 11 minutes)
- Flight Number: 6E2307. (On Time performance: 71 - Average Delay: 28 minutes)
- Flight Number: 6E5306. (On Time performance: 73 - Average Delay: 12 minutes)
- Flight Number: 6E6021. (On Time performance: 92 - Average Delay: 4 minutes)
- Flight Number: 6E6034. (On Time performance: 75 - Average Delay: 8 minutes)
- Flight Number: 6E6401. (On Time performance: 63 - Average Delay: 13 minutes)
- Flight Number: 6E6433. (On Time performance: 83 - Average Delay: 8 minutes)
- Flight Number: 6E6813. (On Time performance: 83 - Average Delay: 14 minutes)
- Flight Number: 6E735. (On Time performance: 83 - Average Delay: 7 minutes)
- Flight Number: 6E869. (On Time performance: 76 - Average Delay: 11 minutes)
- Flight Number: 6E871. (On Time performance: 75 - Average Delay: 7 minutes)

Air India
- Flight Number: AI2406.
- Flight Number: AI2802.
- Flight Number: AI2808. (On Time performance: 50 - Average Delay: 41 minutes)
- Flight Number: AI2814. (On Time performance: 25 - Average Delay: 90 minutes)
- Flight Number: AI2818. (On Time performance: 13 - Average Delay: 64 minutes)
- Flight Number: AI2820.
- Flight Number: AI2868. (On Time performance: 57 - Average Delay: 21 minutes)
- Flight Number: AI428. (On Time performance: 20 - Average Delay: 80 minutes)
- Flight Number: AI501. (On Time performance: 64 - Average Delay: 15 minutes)
- Flight Number: AI503. (On Time performance: 58 - Average Delay: 17 minutes)
- Flight Number: AI505. (On Time performance: 90 - Average Delay: 4 minutes)
- Flight Number: AI507. (On Time performance: 54 - Average Delay: 24 minutes)
- Flight Number: AI509. (On Time performance: 71 - Average Delay: 14 minutes)
- Flight Number: AI511. (On Time performance: 91 - Average Delay: 5 minutes)
- Flight Number: AI513. (On Time performance: 84 - Average Delay: 11 minutes)
- Flight Number: AI804. (On Time performance: 88 - Average Delay: 7 minutes)
- Flight Number: AI808. (On Time performance: 68 - Average Delay: 16 minutes)

Akasa Air
- Flight Number: QP1336. (On Time performance: 46 - Average Delay: 33 minutes)
- Flight Number: QP1359. (On Time performance: 92 - Average Delay: 5 minutes)

Air India Express
- Flight Number: IX1169. (On Time performance: 63 - Average Delay: 40 minutes)
- Flight Number: IX2747. (On Time performance: 58 - Average Delay: 41 minutes)

SpiceJet
- Flight Number: SG136. (On Time performance: 57 - Average Delay: 28 minutes)
- Flight Number: SG535. (On Time performance: 65 - Average Delay: 49 minutes)
- Flight Number: SG8537. (On Time performance: 6 - Average Delay: 25 minutes)

We have gathered data from recent months and present below an analysis of how timely the flights have been.

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