AS3414 Alaska Airlines - Flight Status

Which is the frequency of flight AS3414?
The flight AS3414 is scheduled to flight on Monday, Thursday, Friday, Sunday on a weekly basis.

Which is the distance of flight AS3414?
The distance between the two airports is 480 miles.

Which is the flight time of flight AS3414?
The scheduled flight time gate to gate is: 01:45 hours.
The real flight time gate to gate on average is: 01:49 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 San Diego and Sacramento:

Alaska Airlines
- Flight Number: AS3349. (On Time performance: 77 - Average Delay: 10 minutes)
- Flight Number: AS3368. (On Time performance: 70 - Average Delay: 17 minutes)
- Flight Number: AS3410. (On Time performance: 73 - Average Delay: 11 minutes)
- Flight Number: AS3439. (On Time performance: 64 - Average Delay: 28 minutes)

Frontier Airlines
- Flight Number: F93401. (On Time performance: 62 - Average Delay: 19 minutes)

Spirit Airlines
- Flight Number: NK1476. (On Time performance: 70 - Average Delay: 22 minutes)
- Flight Number: NK3183. (On Time performance: 80 - Average Delay: 5 minutes)

Southwest Airlines
- Flight Number: WN1292. (On Time performance: 79 - Average Delay: 11 minutes)
- Flight Number: WN1322. (On Time performance: 100 - Average Delay: 4 minutes)
- Flight Number: WN1360. (On Time performance: 46 - Average Delay: 30 minutes)
- Flight Number: WN1444.
- Flight Number: WN1706.
- Flight Number: WN1869. (On Time performance: 71 - Average Delay: 11 minutes)
- Flight Number: WN1872. (On Time performance: 60 - Average Delay: 28 minutes)
- Flight Number: WN1875. (On Time performance: 75 - Average Delay: 37 minutes)
- Flight Number: WN2201. (On Time performance: 100 - Average Delay: 4 minutes)
- Flight Number: WN2219. (On Time performance: 80 - Average Delay: 10 minutes)
- Flight Number: WN2307. (On Time performance: 92 - Average Delay: 4 minutes)
- Flight Number: WN2348. (On Time performance: 31 - Average Delay: 48 minutes)
- Flight Number: WN2451. (On Time performance: 90 - Average Delay: 3 minutes)
- Flight Number: WN2811. (On Time performance: 62 - Average Delay: 20 minutes)
- Flight Number: WN2893. (On Time performance: 64 - Average Delay: 19 minutes)
- Flight Number: WN2917. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: WN3015. (On Time performance: 73 - Average Delay: 8 minutes)
- Flight Number: WN313. (On Time performance: 80 - Average Delay: 7 minutes)
- Flight Number: WN3155. (On Time performance: 100 - Average Delay: 3 minutes)
- Flight Number: WN3165. (On Time performance: 46 - Average Delay: 25 minutes)
- Flight Number: WN3229. (On Time performance: 80 - Average Delay: 6 minutes)
- Flight Number: WN3261. (On Time performance: 67 - Average Delay: 14 minutes)
- Flight Number: WN3312. (On Time performance: 100 - Average Delay: 2 minutes)
- Flight Number: WN3430. (On Time performance: 67 - Average Delay: 12 minutes)
- Flight Number: WN4122. (On Time performance: 20 - Average Delay: 32 minutes)
- Flight Number: WN4153. (On Time performance: 29 - Average Delay: 47 minutes)
- Flight Number: WN4240. (On Time performance: 63 - Average Delay: 26 minutes)
- Flight Number: WN4258. (On Time performance: 69 - Average Delay: 34 minutes)
- Flight Number: WN4540. (On Time performance: 60 - Average Delay: 12 minutes)
- Flight Number: WN4982. (On Time performance: 80 - Average Delay: 15 minutes)
- Flight Number: WN5051. (On Time performance: 100 - Average Delay: 3 minutes)
- Flight Number: WN785. (On Time performance: 85 - Average Delay: 5 minutes)

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