CSG2661 China Southern Cargo - Flight Status

Which is the frequency of flight CSG2661?
The flight CSG2661 is scheduled to flight on Wednesday, Thursday on a weekly basis.

Which is the distance of flight CSG2661?
The distance between the two airports is 6921 kilometers.

Which is the flight time of flight CSG2661?
The scheduled flight time gate to gate is: 07:47 hours.
The real flight time gate to gate on average is: 16:00 hours.

Are the departure airport and arrival airport at the same Time Zone?
No, each airport is in a different timezone. The times shown above, are presented in the local time of each respective airport.
Current Time in Shanghai: 2026-09-11 05:48:51
Current Time in Anchorage: 2026-09-10 13:48:51

The following airlines serves the same route between Shanghai and Anchorage:

UPS
- Flight Number: 5X81. (On Time performance: 8 - Average Delay: 72 minutes)
- Flight Number: 5X83. (On Time performance: 15 - Average Delay: 51 minutes)

Atlas Air
- Flight Number: 5Y365.
- Flight Number: 5Y512. (On Time performance: 16 - Average Delay: 97 minutes)
- Flight Number: 5Y518. (On Time performance: 6 - Average Delay: 160 minutes)
- Flight Number: 5Y532. (On Time performance: 7 - Average Delay: 95 minutes)
- Flight Number: 5Y538. (On Time performance: 8 - Average Delay: 117 minutes)
- Flight Number: 5Y751. (On Time performance: 3 - Average Delay: 98 minutes)
- Flight Number: 5Y753. (On Time performance: 7 - Average Delay: 114 minutes)
- Flight Number: 5Y755. (On Time performance: 8 - Average Delay: 87 minutes)
- Flight Number: 5Y757. (On Time performance: 20 - Average Delay: 127 minutes)
- Flight Number: 5Y8102.
- Flight Number: 5Y812. (On Time performance: 13 - Average Delay: 80 minutes)
- Flight Number: 5Y8174.
- Flight Number: 5Y8275.
- Flight Number: 5Y8422. (On Time performance: 27 - Average Delay: 136 minutes)
- Flight Number: 5Y8676. (On Time performance: 6 - Average Delay: 107 minutes)
- Flight Number: 5Y8904.

Air China
- Flight Number: CA1009.
- Flight Number: CA1187. (On Time performance: 4 - Average Delay: 49 minutes)
- Flight Number: CA1189. (On Time performance: 10 - Average Delay: 58 minutes)

China Southern Cargo
- Flight Number: CSG2501. (On Time performance: 17 - Average Delay: 64 minutes)
- Flight Number: CSG2505. (On Time performance: 10 - Average Delay: 94 minutes)
- Flight Number: CSG2521. (On Time performance: 28 - Average Delay: 33 minutes)
- Flight Number: CSG2523. (On Time performance: 31 - Average Delay: 38 minutes)
- Flight Number: CSG2525. (On Time performance: 22 - Average Delay: 71 minutes)
- Flight Number: CSG2677.

Kalitta Air
- Flight Number: K4913. (On Time performance: 29 - Average Delay: 381 minutes)
- Flight Number: K4915.
- Flight Number: K4917. (On Time performance: 19 - Average Delay: 184 minutes)
- Flight Number: K4919. (On Time performance: 15 - Average Delay: 132 minutes)
- Flight Number: K4979. (On Time performance: 7 - Average Delay: 133 minutes)

Korean Air
- Flight Number: KE249. (On Time performance: 26 - Average Delay: 50 minutes)
- Flight Number: KE259. (On Time performance: 7 - Average Delay: 128 minutes)

National Airlines
- Flight Number: N8652.
- Flight Number: N8660.
- Flight Number: N8670.
- Flight Number: N8672. (On Time performance: 25 - Average Delay: 198 minutes)

Polar Air Cargo
- Flight Number: PO998. (On Time performance: 17 - Average Delay: 107 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 March 10, 2026 to September 02, 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