AA2242 American Airlines - Flight Status

Which is the frequency of flight AA2242?
The flight AA2242 is scheduled to flight on daily basis.

Which is the distance of flight AA2242?
The distance between the two airports is 338 miles.

Which is the flight time of flight AA2242?
The scheduled flight time gate to gate is: 01:25 hours.
The real flight time gate to gate on average is: 01:26 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 Raleigh/Durham and Philadelphia:

UPS
- Flight Number: 5X1273. (On Time performance: 78 - Average Delay: 8 minutes)

American Airlines
- Flight Number: AA1923. (On Time performance: 80 - Average Delay: 12 minutes)
- Flight Number: AA2685. (On Time performance: 76 - Average Delay: 9 minutes)
- Flight Number: AA2687. (On Time performance: 87 - Average Delay: 9 minutes)
- Flight Number: AA2931. (On Time performance: 90 - Average Delay: 5 minutes)
- Flight Number: AA4491. (On Time performance: 83 - Average Delay: 9 minutes)

Frontier Airlines
- Flight Number: F91518. (On Time performance: 71 - Average Delay: 22 minutes)
- Flight Number: F92060. (On Time performance: 90 - Average Delay: 3 minutes)
- Flight Number: F94844. (On Time performance: 66 - Average Delay: 44 minutes)
- Flight Number: F94902. (On Time performance: 75 - Average Delay: 10 minutes)

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

Delays analyzed by Weekday: We have gathered available data from last six months, spanning from November 05, 2024 to November 27, 2024. Next, you can observe the results broken down by day of the week: number of flights analyzed, on-time performance per day, and average delay per day.

Note: We have excluded some days from the graph, since the quantity and quality of the data is not representative enough.

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