AA3401 American Airlines - Flight Status

Which is the frequency of flight AA3401?
The flight AA3401 is currently not scheduled at Charlotte Airport.

Which is the distance of flight AA3401?
The distance between the two airports is 335 miles.

Which is the flight time of flight AA3401?
The scheduled flight time gate to gate is: 01:36 hours.
The real flight time gate to gate on average is: 01:07 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 Cincinnati and Charlotte:

American Airlines
- Flight Number: AA1497. (On Time performance: 87 - Average Delay: 10 minutes)
- Flight Number: AA1556. (On Time performance: 71 - Average Delay: 30 minutes)
- Flight Number: AA2302. (On Time performance: 74 - Average Delay: 15 minutes)
- Flight Number: AA429. (On Time performance: 79 - Average Delay: 20 minutes)
- Flight Number: AA430. (On Time performance: 61 - Average Delay: 19 minutes)
- Flight Number: AA5281. (On Time performance: 76 - Average Delay: 42 minutes)
- Flight Number: AA5418. (On Time performance: 80 - Average Delay: 18 minutes)
- Flight Number: AA5455. (On Time performance: 74 - Average Delay: 23 minutes)
- Flight Number: AA5653. (On Time performance: 77 - Average Delay: 24 minutes)

Air Transport International
- Flight Number: 8C3341. (On Time performance: 14 - Average Delay: 43 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 May 06, 2025 to June 07, 2025. 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