AS3404 Alaska Airlines - Flight Status

Which is the frequency of flight AS3404?
The flight AS3404 is scheduled to flight on Tuesday, Wednesday on a weekly basis.

Which is the distance of flight AS3404?
The distance between the two airports is 955 miles.

Which is the flight time of flight AS3404?
The scheduled flight time gate to gate is: 02:44 hours.
The real flight time gate to gate on average is: 02:43 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: AA4866. (On Time performance: 87 - Average Delay: 5 minutes)
- Flight Number: AA4883. (On Time performance: 84 - Average Delay: 15 minutes)
- Flight Number: AA4926. (On Time performance: 86 - Average Delay: 26 minutes)

Alaska Airlines
- Flight Number: AS1048. (On Time performance: 83 - Average Delay: 8 minutes)
- Flight Number: AS1050. (On Time performance: 28 - Average Delay: 47 minutes)
- Flight Number: AS1092. (On Time performance: 65 - Average Delay: 17 minutes)
- Flight Number: AS1144. (On Time performance: 88 - Average Delay: 6 minutes)
- Flight Number: AS1214. (On Time performance: 74 - Average Delay: 15 minutes)
- Flight Number: AS1220. (On Time performance: 77 - Average Delay: 12 minutes)
- Flight Number: AS1223. (On Time performance: 67 - Average Delay: 24 minutes)
- Flight Number: AS1224. (On Time performance: 59 - Average Delay: 25 minutes)
- Flight Number: AS1246. (On Time performance: 82 - Average Delay: 7 minutes)
- Flight Number: AS1292. (On Time performance: 44 - Average Delay: 22 minutes)
- Flight Number: AS1300. (On Time performance: 76 - Average Delay: 12 minutes)
- Flight Number: AS1306. (On Time performance: 67 - Average Delay: 11 minutes)
- Flight Number: AS1316. (On Time performance: 76 - Average Delay: 8 minutes)
- Flight Number: AS1325. (On Time performance: 74 - Average Delay: 8 minutes)
- Flight Number: AS554. (On Time performance: 75 - Average Delay: 17 minutes)

AeroLogic
- Flight Number: 3S472. (On Time performance: 100 - Average Delay: 3 minutes)

Delta Air Lines
- Flight Number: DL1312. (On Time performance: 72 - Average Delay: 9 minutes)
- Flight Number: DL1320. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: DL1358. (On Time performance: 83 - Average Delay: 7 minutes)
- Flight Number: DL1427. (On Time performance: 93 - Average Delay: 2 minutes)
- Flight Number: DL1433. (On Time performance: 86 - Average Delay: 6 minutes)
- Flight Number: DL1530. (On Time performance: 80 - Average Delay: 5 minutes)
- Flight Number: DL1569. (On Time performance: 83 - Average Delay: 19 minutes)
- Flight Number: DL2219. (On Time performance: 98 - Average Delay: 1 minutes)
- Flight Number: DL2228. (On Time performance: 100 - Average Delay: 1 minutes)
- Flight Number: DL2241. (On Time performance: 93 - Average Delay: 5 minutes)
- Flight Number: DL2246. (On Time performance: 100 - Average Delay: 1 minutes)
- Flight Number: DL2310. (On Time performance: 90 - Average Delay: 4 minutes)
- Flight Number: DL2636. (On Time performance: 79 - Average Delay: 6 minutes)

FedEx
- Flight Number: FX3954. (On Time performance: 77 - Average Delay: 11 minutes)

ABX Air
- Flight Number: GB1817. (On Time performance: 57 - Average Delay: 13 minutes)

Northern Air Cargo
- Flight Number: NC8200. (On Time performance: 80 - Average Delay: 10 minutes)

United Airlines
- Flight Number: UA1400. (On Time performance: 93 - Average Delay: 4 minutes)
- Flight Number: UA1835. (On Time performance: 91 - Average Delay: 10 minutes)
- Flight Number: UA676.

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