KH44 Aloha Air Cargo - Flight Status

Which is the frequency of flight KH44?
The flight KH44 is currently not scheduled at Honolulu Airport (HNL).

Which is the distance of flight KH44?
The distance between the two airports is 164 miles.

Which is the flight time of flight KH44?
The scheduled flight time gate to gate is: 00:40 hours.
The real flight time gate to gate on average is: 00:28 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 Kailua-Kona:

UPS
- Flight Number: 5X2965. (On Time performance: 49 - Average Delay: 23 minutes)

Hawaiian Airlines
- Flight Number: HA118. (On Time performance: 97 - Average Delay: 2 minutes)
- Flight Number: HA128. (On Time performance: 97 - Average Delay: 2 minutes)
- Flight Number: HA158. (On Time performance: 97 - Average Delay: 3 minutes)
- Flight Number: HA178. (On Time performance: 97 - Average Delay: 2 minutes)
- Flight Number: HA198. (On Time performance: 96 - Average Delay: 2 minutes)
- Flight Number: HA208. (On Time performance: 94 - Average Delay: 2 minutes)
- Flight Number: HA238. (On Time performance: 95 - Average Delay: 2 minutes)
- Flight Number: HA258. (On Time performance: 95 - Average Delay: 4 minutes)
- Flight Number: HA268. (On Time performance: 88 - Average Delay: 7 minutes)
- Flight Number: HA298. (On Time performance: 93 - Average Delay: 3 minutes)
- Flight Number: HA318. (On Time performance: 83 - Average Delay: 11 minutes)
- Flight Number: HA338. (On Time performance: 100 - Average Delay: 2 minutes)
- Flight Number: HA358. (On Time performance: 73 - Average Delay: 12 minutes)
- Flight Number: HA388. (On Time performance: 93 - Average Delay: 5 minutes)
- Flight Number: HA508. (On Time performance: 98 - Average Delay: 2 minutes)
- Flight Number: HA548. (On Time performance: 88 - Average Delay: 6 minutes)
- Flight Number: HA568. (On Time performance: 89 - Average Delay: 4 minutes)

Aloha Air Cargo
- Flight Number: AAH42. (On Time performance: 90 - Average Delay: 5 minutes)
- Flight Number: AAH44. (On Time performance: 85 - Average Delay: 6 minutes)
- Flight Number: AAH442. (On Time performance: 48 - Average Delay: 28 minutes)
- Flight Number: AAH46. (On Time performance: 29 - Average Delay: 29 minutes)
- Flight Number: AAH48. (On Time performance: 52 - Average Delay: 26 minutes)

Trans Air
- Flight Number: R95. (On Time performance: 47 - Average Delay: 22 minutes)
- Flight Number: R96. (On Time performance: 47 - Average Delay: 25 minutes)

Northern Air Cargo
- Flight Number: NC442. (On Time performance: 46 - Average Delay: 21 minutes)
- Flight Number: NC46. (On Time performance: 50 - Average Delay: 23 minutes)

Southwest Airlines
- Flight Number: WN1551. (On Time performance: 98 - Average Delay: 0 minutes)
- Flight Number: WN2375. (On Time performance: 93 - Average Delay: 4 minutes)
- Flight Number: WN2721. (On Time performance: 91 - Average Delay: 5 minutes)
- Flight Number: WN3299. (On Time performance: 98 - Average Delay: 1 minutes)
- Flight Number: WN3869. (On Time performance: 93 - Average Delay: 3 minutes)
- Flight Number: WN725. (On Time performance: 98 - 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 June 17, 2024 to December 16, 2024. 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 December 03, 2023 to November 29, 2024. 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.