AA1551 American Airlines - Flight Status

Which is the frequency of flight AA1551?
The flight AA1551 is scheduled to flight on Monday, Thursday, Friday, Sunday on a weekly basis.

Which is the distance of flight AA1551?
The distance between the two airports is 781 miles.

Which is the flight time of flight AA1551?
The scheduled flight time gate to gate is: 02:39 hours.
The real flight time gate to gate on average is: 02:28 hours.

Are the departure airport and arrival airport at the same Time Zone?
No, each airport is in a different timezone. The times shown above, are presented in the local time of each respective airport.
Current Time in Hartford: 2024-11-01 00:34:15
Current Time in Chicago: 2024-10-31 23:34:15

The following airlines serves the same route between Hartford and Chicago:

American Airlines
- Flight Number: AA1987. (On Time performance: 80 - Average Delay: 21 minutes)
- Flight Number: AA2805. (On Time performance: 100 - Average Delay: 2 minutes)
- Flight Number: AA3002. (On Time performance: 100 - Average Delay: 2 minutes)
- Flight Number: AA3359. (On Time performance: 50 - Average Delay: 20 minutes)
- Flight Number: AA3394. (On Time performance: 82 - Average Delay: 31 minutes)

United Airlines
- Flight Number: UA1304. (On Time performance: 93 - Average Delay: 4 minutes)
- Flight Number: UA1846. (On Time performance: 60 - Average Delay: 19 minutes)
- Flight Number: UA220. (On Time performance: 84 - Average Delay: 11 minutes)
- Flight Number: UA3549.
- Flight Number: UA453. (On Time performance: 94 - Average Delay: 3 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