WN2877 Southwest Airlines - Flight Status

Which is the frequency of flight WN2877?
The flight WN2877 is currently not scheduled at Phoenix Airport (PHX).

Which is the distance of flight WN2877?
The distance between the two airports is 370 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 Phoenix and Los Angeles:

American Airlines
- Flight Number: AA1518. (On Time performance: 86 - Average Delay: 14 minutes)
- Flight Number: AA1668. (On Time performance: 83 - Average Delay: 10 minutes)
- Flight Number: AA1675. (On Time performance: 91 - Average Delay: 5 minutes)
- Flight Number: AA2001. (On Time performance: 68 - Average Delay: 26 minutes)
- Flight Number: AA2613. (On Time performance: 81 - Average Delay: 13 minutes)
- Flight Number: AA3012. (On Time performance: 89 - Average Delay: 9 minutes)
- Flight Number: AA463. (On Time performance: 86 - Average Delay: 12 minutes)

Delta Air Lines
- Flight Number: DL3894. (On Time performance: 96 - Average Delay: 1 minutes)
- Flight Number: DL3951. (On Time performance: 89 - Average Delay: 6 minutes)
- Flight Number: DL4057. (On Time performance: 97 - Average Delay: 2 minutes)
- Flight Number: DL4077. (On Time performance: 90 - Average Delay: 5 minutes)
- Flight Number: DL4119. (On Time performance: 98 - Average Delay: 1 minutes)
- Flight Number: DL4151. (On Time performance: 88 - Average Delay: 7 minutes)

Frontier Airlines
- Flight Number: F91061. (On Time performance: 75 - Average Delay: 26 minutes)
- Flight Number: F93303. (On Time performance: 91 - Average Delay: 6 minutes)

ABX Air
- Flight Number: GB505. (On Time performance: 49 - Average Delay: 20 minutes)

Northern Air Cargo
- Flight Number: NC1814. (On Time performance: 81 - Average Delay: 7 minutes)

United Airlines
- Flight Number: UA246. (On Time performance: 94 - Average Delay: 5 minutes)
- Flight Number: UA279. (On Time performance: 97 - Average Delay: 2 minutes)
- Flight Number: UA5511. (On Time performance: 90 - Average Delay: 6 minutes)

Southwest Airlines
- Flight Number: WN1159.
- Flight Number: WN1479.
- Flight Number: WN1533. (On Time performance: 80 - Average Delay: 11 minutes)
- Flight Number: WN1997. (On Time performance: 76 - Average Delay: 13 minutes)
- Flight Number: WN2697.
- Flight Number: WN2699. (On Time performance: 96 - Average Delay: 5 minutes)
- Flight Number: WN3019. (On Time performance: 73 - Average Delay: 7 minutes)
- Flight Number: WN3035. (On Time performance: 94 - Average Delay: 3 minutes)
- Flight Number: WN3319. (On Time performance: 83 - Average Delay: 6 minutes)
- Flight Number: WN4068. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: WN4722. (On Time performance: 73 - Average Delay: 7 minutes)
- Flight Number: WN4788. (On Time performance: 50 - Average Delay: 19 minutes)
- Flight Number: WN519. (On Time performance: 92 - Average Delay: 3 minutes)
- Flight Number: WN766. (On Time performance: 76 - Average Delay: 9 minutes)
- Flight Number: WN938. (On Time performance: 86 - Average Delay: 5 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 Weekday: We have gathered available data from last six months, spanning from June 04, 2024 to July 31, 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: We have gathered available data from last twelve closed months, spanning from November 23, 2023 to July 31, 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.