WN4062 Southwest Airlines - Flight Status

Which is the frequency of flight WN4062?
The flight WN4062 is scheduled to flight on Monday, Tuesday, Wednesday, Saturday on a weekly basis.

Which is the distance of flight WN4062?
The distance between the two airports is 446 miles.

Which is the flight time of flight WN4062?
The scheduled flight time gate to gate is: 01:35 hours.
The real flight time gate to gate on average is: 01:25 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 Oakland and San Diego:

FedEx
- Flight Number: FX1889. (On Time performance: 97 - Average Delay: 2 minutes)

Spirit Airlines
- Flight Number: NK1448. (On Time performance: 100 - Average Delay: 1 minutes)
- Flight Number: NK1479. (On Time performance: 72 - Average Delay: 10 minutes)
- Flight Number: NK2913. (On Time performance: 75 - Average Delay: 15 minutes)

Southwest Airlines
- Flight Number: WN1507. (On Time performance: 58 - Average Delay: 18 minutes)
- Flight Number: WN1549. (On Time performance: 100 - Average Delay: 2 minutes)
- Flight Number: WN2131. (On Time performance: 50 - Average Delay: 24 minutes)
- Flight Number: WN2193. (On Time performance: 76 - Average Delay: 23 minutes)
- Flight Number: WN2316. (On Time performance: 75 - Average Delay: 13 minutes)
- Flight Number: WN2351. (On Time performance: 83 - Average Delay: 11 minutes)
- Flight Number: WN2599. (On Time performance: 85 - Average Delay: 21 minutes)
- Flight Number: WN275.
- Flight Number: WN2760. (On Time performance: 100 - Average Delay: 2 minutes)
- Flight Number: WN2802. (On Time performance: 77 - Average Delay: 23 minutes)
- Flight Number: WN2864. (On Time performance: 88 - Average Delay: 11 minutes)
- Flight Number: WN2895. (On Time performance: 88 - Average Delay: 13 minutes)
- Flight Number: WN2983. (On Time performance: 77 - Average Delay: 10 minutes)
- Flight Number: WN3049. (On Time performance: 71 - Average Delay: 39 minutes)
- Flight Number: WN3083. (On Time performance: 60 - Average Delay: 13 minutes)
- Flight Number: WN3134. (On Time performance: 60 - Average Delay: 6 minutes)
- Flight Number: WN3862. (On Time performance: 65 - Average Delay: 37 minutes)
- Flight Number: WN411. (On Time performance: 89 - Average Delay: 3 minutes)
- Flight Number: WN4379. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: WN4619.
- Flight Number: WN4805. (On Time performance: 63 - Average Delay: 16 minutes)
- Flight Number: WN4814. (On Time performance: 47 - Average Delay: 40 minutes)
- Flight Number: WN4861. (On Time performance: 60 - Average Delay: 15 minutes)
- Flight Number: WN4920. (On Time performance: 85 - Average Delay: 21 minutes)
- Flight Number: WN543. (On Time performance: 46 - Average Delay: 36 minutes)
- Flight Number: WN651. (On Time performance: 85 - Average Delay: 3 minutes)
- Flight Number: WN698. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: WN733. (On Time performance: 80 - Average Delay: 4 minutes)
- Flight Number: WN910. (On Time performance: 77 - Average Delay: 24 minutes)
- Flight Number: WN974. (On Time performance: 92 - Average Delay: 9 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 June 06, 2024 to November 16, 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 June 06, 2024 to August 02, 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.