HU7462 Hainan Airlines - Flight Status

Which is the frequency of flight HU7462?
The flight HU7462 is currently not scheduled at Guangzhou Baiyun Airport.

Which is the distance of flight HU7462?
The distance between the two airports is 1040 kilometers.

Which is the flight time of flight HU7462?
The scheduled flight time gate to gate is: 02:15 hours.
The real flight time gate to gate on average is: 02:23 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 Hangzhou and Guangzhou:

Sichuan Airlines
- Flight Number: 3U3153. (On Time performance: 71 - Average Delay: 18 minutes)
- Flight Number: 3U3155. (On Time performance: 55 - Average Delay: 42 minutes)

9 Air
- Flight Number: AQ1072.

Air China
- Flight Number: CA1789. (On Time performance: 81 - Average Delay: 12 minutes)
- Flight Number: CA1793. (On Time performance: 60 - Average Delay: 41 minutes)
- Flight Number: CA1795. (On Time performance: 64 - Average Delay: 15 minutes)

China Southern Airlines
- Flight Number: CZ3502. (On Time performance: 74 - Average Delay: 49 minutes)
- Flight Number: CZ3512. (On Time performance: 74 - Average Delay: 37 minutes)
- Flight Number: CZ3522. (On Time performance: 77 - Average Delay: 28 minutes)
- Flight Number: CZ3802. (On Time performance: 44 - Average Delay: 176 minutes)
- Flight Number: CZ3804. (On Time performance: 74 - Average Delay: 29 minutes)
- Flight Number: CZ3820. (On Time performance: 73 - Average Delay: 29 minutes)
- Flight Number: CZ3830. (On Time performance: 62 - Average Delay: 60 minutes)
- Flight Number: CZ3850. (On Time performance: 48 - Average Delay: 48 minutes)
- Flight Number: CZ3864. (On Time performance: 70 - Average Delay: 39 minutes)
- Flight Number: CZ3870. (On Time performance: 76 - Average Delay: 26 minutes)
- Flight Number: CZ6568. (On Time performance: 35 - Average Delay: 137 minutes)

Shanghai Airlines
- Flight Number: FM9351. (On Time performance: 49 - Average Delay: 48 minutes)

Loong Air
- Flight Number: GJ8699. (On Time performance: 74 - Average Delay: 26 minutes)
- Flight Number: GJ8859. (On Time performance: 53 - Average Delay: 50 minutes)
- Flight Number: GJ8989. (On Time performance: 39 - Average Delay: 98 minutes)
- Flight Number: GJ8995. (On Time performance: 59 - Average Delay: 38 minutes)

Hainan Airlines
- Flight Number: HU7162. (On Time performance: 51 - Average Delay: 49 minutes)
- Flight Number: HU7262. (On Time performance: 65 - Average Delay: 29 minutes)
- Flight Number: HU7362. (On Time performance: 67 - Average Delay: 38 minutes)

Capital Airlines
- Flight Number: JD5270. (On Time performance: 49 - Average Delay: 55 minutes)

Xiamen Airlines
- Flight Number: MF8311. (On Time performance: 21 - Average Delay: 84 minutes)
- Flight Number: MF8319. (On Time performance: 74 - Average Delay: 26 minutes)
- Flight Number: MF8381. (On Time performance: 61 - Average Delay: 31 minutes)

China Eastern Airlines
- Flight Number: MU5211. (On Time performance: 69 - Average Delay: 24 minutes)
- Flight Number: MU5215. (On Time performance: 57 - Average Delay: 34 minutes)
- Flight Number: MU5217. (On Time performance: 57 - Average Delay: 31 minutes)

Shenzhen Airlines
- Flight Number: ZH9982. (On Time performance: 63 - Average Delay: 37 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 October 29, 2023 to March 29, 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.

Delays analyzed by Month: We have gathered available data from last twelve closed months, spanning from October 29, 2023 to March 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.