AA3122 American Airlines - Flight Status

Which is the frequency of flight AA3122?
The flight AA3122 is scheduled to flight on daily basis.

Which is the distance of flight AA3122?
The distance between the two airports is 370 miles.

Which is the flight time of flight AA3122?
The scheduled flight time gate to gate is: 01:32 hours.
The real flight time gate to gate on average is: 01:45 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 Phoenix: 2025-11-29 02:12:39
Current Time in Los Angeles: 2025-11-29 01:12:39

The following airlines serves the same route between Phoenix and Los Angeles:

American Airlines
- Flight Number: AA1441. (On Time performance: 58 - Average Delay: 33 minutes)
- Flight Number: AA2228. (On Time performance: 95 - Average Delay: 2 minutes)
- Flight Number: AA2908. (On Time performance: 45 - Average Delay: 32 minutes)
- Flight Number: AA2966. (On Time performance: 77 - Average Delay: 15 minutes)
- Flight Number: AA2982. (On Time performance: 95 - Average Delay: 2 minutes)
- Flight Number: AA2987. (On Time performance: 95 - Average Delay: 8 minutes)

Delta Air Lines
- Flight Number: DL2157. (On Time performance: 96 - Average Delay: 4 minutes)
- Flight Number: DL3538. (On Time performance: 93 - Average Delay: 5 minutes)
- Flight Number: DL3894. (On Time performance: 85 - Average Delay: 11 minutes)
- Flight Number: DL3951. (On Time performance: 88 - Average Delay: 12 minutes)
- Flight Number: DL4119. (On Time performance: 90 - Average Delay: 5 minutes)

Frontier Airlines
- Flight Number: F91061. (On Time performance: 90 - Average Delay: 28 minutes)
- Flight Number: F93303. (On Time performance: 70 - Average Delay: 23 minutes)
- Flight Number: F93605. (On Time performance: 74 - Average Delay: 14 minutes)

ABX Air
- Flight Number: GB505. (On Time performance: 67 - Average Delay: 15 minutes)

Kalitta Charters II
- Flight Number: KII1814. (On Time performance: 11 - Average Delay: 50 minutes)

United Airlines
- Flight Number: UA1005. (On Time performance: 83 - Average Delay: 11 minutes)
- Flight Number: UA2150. (On Time performance: 93 - Average Delay: 5 minutes)
- Flight Number: UA5484. (On Time performance: 90 - Average Delay: 8 minutes)
- Flight Number: UA573. (On Time performance: 54 - Average Delay: 22 minutes)
- Flight Number: UA5788. (On Time performance: 95 - Average Delay: 4 minutes)
- Flight Number: UA5789. (On Time performance: 90 - Average Delay: 7 minutes)

Southwest Airlines
- Flight Number: WN1161. (On Time performance: 100 - Average Delay: 1 minutes)
- Flight Number: WN1650. (On Time performance: 62 - Average Delay: 23 minutes)
- Flight Number: WN1718. (On Time performance: 100 - Average Delay: 2 minutes)
- Flight Number: WN1779. (On Time performance: 55 - Average Delay: 18 minutes)
- Flight Number: WN1916. (On Time performance: 90 - Average Delay: 5 minutes)
- Flight Number: WN2353. (On Time performance: 45 - Average Delay: 33 minutes)
- Flight Number: WN3604. (On Time performance: 90 - Average Delay: 4 minutes)
- Flight Number: WN715. (On Time performance: 35 - Average Delay: 35 minutes)

Volaris

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 02, 2025 to November 23, 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: We have gathered available data from last twelve closed months, spanning from November 05, 2024 to December 04, 2024. Next, you can observe the results broken down by month: number of flights analyzed, on-time performance per month, and average delay per month.

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