FX454 FedEx - Flight Status

Which is the frequency of flight FX454?
The flight FX454 is scheduled to flight on Tuesday, Wednesday, Thursday on a weekly basis.

Which is the distance of flight FX454?
The distance between the two airports is 955 miles.

Which is the flight time of flight FX454?
The scheduled flight time gate to gate is: 02:16 hours.
The real flight time gate to gate on average is: 02:09 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 Seattle and Los Angeles:

American Airlines
- Flight Number: AA4896. (On Time performance: 85 - Average Delay: 41 minutes)
- Flight Number: AA6438. (On Time performance: 82 - Average Delay: 14 minutes)

Alaska Airlines
- Flight Number: AS1092. (On Time performance: 78 - Average Delay: 10 minutes)
- Flight Number: AS1144. (On Time performance: 79 - Average Delay: 10 minutes)
- Flight Number: AS1224. (On Time performance: 77 - Average Delay: 12 minutes)
- Flight Number: AS1292. (On Time performance: 59 - Average Delay: 22 minutes)
- Flight Number: AS1300. (On Time performance: 79 - Average Delay: 10 minutes)
- Flight Number: AS1306. (On Time performance: 94 - Average Delay: 5 minutes)
- Flight Number: AS1316. (On Time performance: 83 - Average Delay: 11 minutes)
- Flight Number: AS1338. (On Time performance: 67 - Average Delay: 12 minutes)
- Flight Number: AS1390. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: AS1411. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: AS1468. (On Time performance: 82 - Average Delay: 10 minutes)
- Flight Number: AS476. (On Time performance: 72 - Average Delay: 25 minutes)
- Flight Number: AS505. (On Time performance: 86 - Average Delay: 6 minutes)
- Flight Number: AS524. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: AS63. (On Time performance: 60 - Average Delay: 11 minutes)
- Flight Number: AS696. (On Time performance: 67 - Average Delay: 12 minutes)
- Flight Number: AS797. (On Time performance: 93 - Average Delay: 5 minutes)

Delta Air Lines
- Flight Number: DL1628. (On Time performance: 97 - Average Delay: 1 minutes)
- Flight Number: DL2769. (On Time performance: 95 - Average Delay: 3 minutes)
- Flight Number: DL2830. (On Time performance: 88 - Average Delay: 9 minutes)
- Flight Number: DL2854. (On Time performance: 83 - Average Delay: 12 minutes)
- Flight Number: DL2861. (On Time performance: 79 - Average Delay: 12 minutes)
- Flight Number: DL2914. (On Time performance: 93 - Average Delay: 3 minutes)
- Flight Number: DL2920. (On Time performance: 88 - Average Delay: 5 minutes)

Frontier Airlines
- Flight Number: F92176. (On Time performance: 78 - Average Delay: 17 minutes)

FedEx
- Flight Number: FX3954. (On Time performance: 69 - Average Delay: 13 minutes)

United Airlines
- Flight Number: UA1546. (On Time performance: 87 - Average Delay: 13 minutes)
- Flight Number: UA1681. (On Time performance: 97 - Average Delay: 2 minutes)
- Flight Number: UA2610. (On Time performance: 88 - Average Delay: 8 minutes)
- Flight Number: UA5501.
- Flight Number: UA5654. (On Time performance: 100 - Average Delay: 0 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 October 29, 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 February 05, 2025 to October 29, 2025. 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.