AA1264 American Airlines - Flight Status

Which is the frequency of flight AA1264?
The flight AA1264 is scheduled to flight on Monday, Tuesday, Thursday, Friday, Saturday, Sunday on a weekly basis.

Which is the distance of flight AA1264?
The distance between the two airports is 1012 miles.

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 New York and Tampa:

American Airlines
- Flight Number: AA1505.
- Flight Number: AA1556. (On Time performance: 53 - Average Delay: 39 minutes)
- Flight Number: AA1640. (On Time performance: 40 - Average Delay: 45 minutes)
- Flight Number: AA2364. (On Time performance: 68 - Average Delay: 27 minutes)
- Flight Number: AA3078. (On Time performance: 67 - Average Delay: 45 minutes)
- Flight Number: AA3231.

JetBlue
- Flight Number: B61247. (On Time performance: 70 - Average Delay: 20 minutes)
- Flight Number: B647. (On Time performance: 47 - Average Delay: 40 minutes)

Delta Air Lines
- Flight Number: DL1259.
- Flight Number: DL1791. (On Time performance: 59 - Average Delay: 34 minutes)
- Flight Number: DL1792. (On Time performance: 87 - Average Delay: 14 minutes)
- Flight Number: DL1824. (On Time performance: 42 - Average Delay: 50 minutes)
- Flight Number: DL1884. (On Time performance: 63 - Average Delay: 37 minutes)
- Flight Number: DL2195.
- Flight Number: DL2404.
- Flight Number: DL2433. (On Time performance: 59 - Average Delay: 42 minutes)
- Flight Number: DL2531.

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