3U3152 Sichuan Airlines - Flight Status

Which is the frequency of flight 3U3152?
The flight 3U3152 is scheduled to flight on daily basis.

Which is the distance of flight 3U3152?
The distance between the two airports is 1040 kilometers.

Which is the flight time of flight 3U3152?
The scheduled flight time gate to gate is: 02:00 hours.
The real flight time gate to gate on average is: 01:30 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 Guangzhou and Hangzhou:

Sichuan Airlines
- Flight Number: 3U3154. (On Time performance: 68 - Average Delay: 23 minutes)
- Flight Number: 3U3156. (On Time performance: 43 - Average Delay: 70 minutes)

9 Air
- Flight Number: AQ1071. (On Time performance: 85 - Average Delay: 37 minutes)

Air China
- Flight Number: CA1790. (On Time performance: 70 - Average Delay: 20 minutes)
- Flight Number: CA1792. (On Time performance: 82 - Average Delay: 9 minutes)
- Flight Number: CA1794. (On Time performance: 51 - Average Delay: 71 minutes)
- Flight Number: CA1796. (On Time performance: 56 - Average Delay: 60 minutes)
- Flight Number: CA1798. (On Time performance: 94 - Average Delay: 2 minutes)

China Southern Airlines
- Flight Number: CZ3501. (On Time performance: 73 - Average Delay: 24 minutes)
- Flight Number: CZ3511. (On Time performance: 80 - Average Delay: 15 minutes)
- Flight Number: CZ3521. (On Time performance: 93 - Average Delay: 4 minutes)
- Flight Number: CZ3803. (On Time performance: 81 - Average Delay: 12 minutes)
- Flight Number: CZ3819. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: CZ3829. (On Time performance: 75 - Average Delay: 28 minutes)
- Flight Number: CZ3847. (On Time performance: 91 - Average Delay: 4 minutes)
- Flight Number: CZ3849. (On Time performance: 70 - Average Delay: 50 minutes)
- Flight Number: CZ3863. (On Time performance: 93 - Average Delay: 2 minutes)
- Flight Number: CZ3869. (On Time performance: 80 - Average Delay: 15 minutes)

Shanghai Airlines
- Flight Number: FM9352. (On Time performance: 89 - Average Delay: 10 minutes)

Loong Air
- Flight Number: GJ8700. (On Time performance: 71 - Average Delay: 31 minutes)
- Flight Number: GJ8860. (On Time performance: 51 - Average Delay: 65 minutes)
- Flight Number: GJ8990. (On Time performance: 93 - Average Delay: 14 minutes)
- Flight Number: GJ8996. (On Time performance: 55 - Average Delay: 50 minutes)

Hainan Airlines
- Flight Number: HU7161. (On Time performance: 85 - Average Delay: 14 minutes)
- Flight Number: HU7261. (On Time performance: 73 - Average Delay: 18 minutes)
- Flight Number: HU7361. (On Time performance: 65 - Average Delay: 39 minutes)
- Flight Number: HU7461. (On Time performance: 90 - Average Delay: 8 minutes)

Capital Airlines
- Flight Number: JD5269. (On Time performance: 85 - Average Delay: 21 minutes)

Xiamen Airlines
- Flight Number: MF8312. (On Time performance: 47 - Average Delay: 56 minutes)
- Flight Number: MF8320. (On Time performance: 58 - Average Delay: 34 minutes)
- Flight Number: MF8382. (On Time performance: 60 - Average Delay: 55 minutes)

China Eastern Airlines
- Flight Number: MU5212. (On Time performance: 39 - Average Delay: 46 minutes)
- Flight Number: MU5216. (On Time performance: 41 - Average Delay: 88 minutes)
- Flight Number: MU5218. (On Time performance: 57 - Average Delay: 53 minutes)

Shenzhen Airlines
- Flight Number: ZH9981. (On Time performance: 80 - Average Delay: 18 minutes)
- Flight Number: ZH9983. (On Time performance: 73 - 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 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