KMK347 Kamaka Air - Flight Status

Which is the frequency of flight KMK347?
The flight KMK347 is scheduled to flight on Monday, Saturday on a weekly basis.

Which is the distance of flight KMK347?
The distance between the two airports is 164 miles.

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 Kailua-Kona:

UPS
- Flight Number: 5X2965. (On Time performance: 43 - Average Delay: 27 minutes)

Corporate Air
- Flight Number: CPT1228. (On Time performance: 20 - Average Delay: 26 minutes)
- Flight Number: CPT775. (On Time performance: 100 - Average Delay: -5 minutes)
- Flight Number: CPT776.
- Flight Number: CPT8651. (On Time performance: 49 - Average Delay: 22 minutes)
- Flight Number: CPT8652. (On Time performance: 48 - Average Delay: 41 minutes)
- Flight Number: CPT8653. (On Time performance: 52 - Average Delay: 35 minutes)
- Flight Number: CPT916. (On Time performance: 50 - Average Delay: 19 minutes)

Hawaiian Airlines
- Flight Number: HA1008. (On Time performance: 85 - Average Delay: 6 minutes)
- Flight Number: HA1018. (On Time performance: 91 - Average Delay: 15 minutes)
- Flight Number: HA1028. (On Time performance: 93 - Average Delay: 4 minutes)
- Flight Number: HA1038. (On Time performance: 96 - Average Delay: 4 minutes)
- Flight Number: HA1048. (On Time performance: 94 - Average Delay: 4 minutes)
- Flight Number: HA1058. (On Time performance: 82 - Average Delay: 10 minutes)
- Flight Number: HA1068. (On Time performance: 90 - Average Delay: 5 minutes)
- Flight Number: HA1078. (On Time performance: 83 - Average Delay: 9 minutes)
- Flight Number: HA1088. (On Time performance: 77 - Average Delay: 10 minutes)
- Flight Number: HA1098. (On Time performance: 73 - Average Delay: 19 minutes)
- Flight Number: HA1108. (On Time performance: 66 - Average Delay: 14 minutes)
- Flight Number: HA1118. (On Time performance: 66 - Average Delay: 15 minutes)
- Flight Number: HA1128. (On Time performance: 74 - Average Delay: 17 minutes)
- Flight Number: HA1138. (On Time performance: 82 - Average Delay: 9 minutes)
- Flight Number: HA1148. (On Time performance: 70 - Average Delay: 19 minutes)
- Flight Number: HA1158. (On Time performance: 81 - Average Delay: 9 minutes)
- Flight Number: HA1168. (On Time performance: 83 - Average Delay: 8 minutes)

Aloha Air Cargo
- Flight Number: KH444. (On Time performance: 67 - Average Delay: 21 minutes)

REACH Air Medical Services
- Flight Number: REH46. (On Time performance: 80 - Average Delay: 94 minutes)

Southwest Airlines
- Flight Number: WN1420. (On Time performance: 88 - Average Delay: 86 minutes)
- Flight Number: WN1638. (On Time performance: 88 - Average Delay: 15 minutes)
- Flight Number: WN1781. (On Time performance: 93 - Average Delay: 1 minutes)
- Flight Number: WN1782. (On Time performance: 100 - Average Delay: 1 minutes)
- Flight Number: WN1784. (On Time performance: 82 - Average Delay: 88 minutes)
- Flight Number: WN2336. (On Time performance: 80 - Average Delay: 9 minutes)
- Flight Number: WN2625. (On Time performance: 84 - Average Delay: 8 minutes)
- Flight Number: WN2839. (On Time performance: 97 - Average Delay: 3 minutes)
- Flight Number: WN2842. (On Time performance: 89 - Average Delay: 6 minutes)
- Flight Number: WN527. (On Time performance: 96 - Average Delay: 1 minutes)

It is not possible to calculate the On-Time Performance for this flight accurately due to insufficient or non-representative data, as doing so could lead to misleading conclusions.

Delays analyzed by Weekday: We have gathered available data from last six months, spanning from July 26, 2025 to January 17, 2026. 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: 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