AA4729 American Airlines - Flight Status

Which is the frequency of flight AA4729?
The flight AA4729 is scheduled to flight on Thursday, Friday, Saturday, Sunday on a weekly basis.

Which is the distance of flight AA4729?
The distance between the two airports is 477 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 Columbus and New York:

American Airlines
- Flight Number: AA4381. (On Time performance: 80 - Average Delay: 14 minutes)
- Flight Number: AA4495. (On Time performance: 70 - Average Delay: 16 minutes)
- Flight Number: AA4694. (On Time performance: 77 - Average Delay: 12 minutes)
- Flight Number: AA4745. (On Time performance: 71 - Average Delay: 32 minutes)
- Flight Number: AA4791. (On Time performance: 57 - Average Delay: 42 minutes)
- Flight Number: AA4799. (On Time performance: 88 - Average Delay: 8 minutes)

Delta Air Lines
- Flight Number: DL5617. (On Time performance: 61 - Average Delay: 31 minutes)
- Flight Number: DL5678. (On Time performance: 70 - Average Delay: 29 minutes)
- Flight Number: DL5691. (On Time performance: 81 - Average Delay: 19 minutes)
- Flight Number: DL5700. (On Time performance: 96 - Average Delay: 5 minutes)
- Flight Number: DL5844. (On Time performance: 81 - Average Delay: 15 minutes)

Spirit Airlines
- Flight Number: NK2850. (On Time performance: 73 - Average Delay: 32 minutes)
- Flight Number: NK723. (On Time performance: 56 - Average Delay: 44 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