KMK408 Kamaka Air - Flight Status

Which is the frequency of flight KMK408?
The flight KMK408 is scheduled to flight on Monday, Tuesday, Wednesday, Thursday, Friday, Saturday on a weekly basis.

Which is the distance of flight KMK408?
The distance between the two airports is 102 miles.

Which is the flight time of flight KMK408?
The scheduled flight time gate to gate is: 00:35 hours.
The real flight time gate to gate on average is: 06:52 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 Honolulu and Kauai Island:

UPS
- Flight Number: 5X2967. (On Time performance: 88 - Average Delay: 14 minutes)

Air Transport International
- Flight Number: 8C3360.

Corporate Air
- Flight Number: CPT776.
- Flight Number: CPT8670. (On Time performance: 80 - Average Delay: 16 minutes)
- Flight Number: CPT8672. (On Time performance: 56 - Average Delay: 25 minutes)
- Flight Number: CPT8674.

Hawaiian Airlines
- Flight Number: HA103. (On Time performance: 98 - Average Delay: 2 minutes)
- Flight Number: HA133. (On Time performance: 96 - Average Delay: 2 minutes)
- Flight Number: HA153. (On Time performance: 93 - Average Delay: 3 minutes)
- Flight Number: HA163. (On Time performance: 91 - Average Delay: 3 minutes)
- Flight Number: HA193. (On Time performance: 93 - Average Delay: 5 minutes)
- Flight Number: HA203. (On Time performance: 93 - Average Delay: 2 minutes)
- Flight Number: HA223. (On Time performance: 88 - Average Delay: 3 minutes)
- Flight Number: HA253. (On Time performance: 81 - Average Delay: 8 minutes)
- Flight Number: HA273. (On Time performance: 84 - Average Delay: 5 minutes)
- Flight Number: HA283. (On Time performance: 81 - Average Delay: 9 minutes)
- Flight Number: HA293. (On Time performance: 86 - Average Delay: 7 minutes)
- Flight Number: HA313. (On Time performance: 85 - Average Delay: 7 minutes)
- Flight Number: HA333. (On Time performance: 84 - Average Delay: 10 minutes)
- Flight Number: HA343. (On Time performance: 74 - Average Delay: 11 minutes)
- Flight Number: HA353. (On Time performance: 82 - Average Delay: 10 minutes)
- Flight Number: HA373. (On Time performance: 81 - Average Delay: 7 minutes)
- Flight Number: HA383. (On Time performance: 100 - Average Delay: 3 minutes)
- Flight Number: HA393. (On Time performance: 83 - Average Delay: 9 minutes)
- Flight Number: HA503. (On Time performance: 78 - Average Delay: 14 minutes)
- Flight Number: HA523. (On Time performance: 88 - Average Delay: 7 minutes)
- Flight Number: HA553. (On Time performance: 82 - Average Delay: 11 minutes)
- Flight Number: HA573. (On Time performance: 78 - Average Delay: 10 minutes)

Aloha Air Cargo
- Flight Number: KH11. (On Time performance: 100 - Average Delay: 0 minutes)

Southwest Airlines
- Flight Number: WN1071. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: WN1649. (On Time performance: 87 - Average Delay: 6 minutes)
- Flight Number: WN1957. (On Time performance: 97 - Average Delay: 3 minutes)
- Flight Number: WN2377. (On Time performance: 94 - Average Delay: 3 minutes)
- Flight Number: WN3862. (On Time performance: 97 - Average Delay: 1 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 November 11, 2024 to May 08, 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 July 21, 2024 to April 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.