CSG2567 China Southern Airlines Cargo - Flight Status

Which is the frequency of flight CSG2567?
The flight CSG2567 is currently not scheduled at Anchorage Airport (ANC) - Ted Stevens.

Which is the distance of flight CSG2567?
The distance between the two airports is 3377 miles.

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 Anchorage: 2024-11-23 01:51:20
Current Time in New York: 2024-11-23 05:51:20

The following airlines serves the same route between Anchorage and New York:

ASL Airlines Belgium
- Flight Number: 3V813. (On Time performance: 68 - Average Delay: 16 minutes)

Atlas Air
- Flight Number: 5Y8198. (On Time performance: 85 - Average Delay: 15 minutes)
- Flight Number: 5Y8241. (On Time performance: 56 - Average Delay: 37 minutes)
- Flight Number: 5Y8472. (On Time performance: 50 - Average Delay: 26 minutes)
- Flight Number: 5Y8540. (On Time performance: 38 - Average Delay: 82 minutes)
- Flight Number: 5Y8609. (On Time performance: 70 - Average Delay: 17 minutes)
- Flight Number: 5Y8794. (On Time performance: 67 - Average Delay: 27 minutes)
- Flight Number: 5Y8820. (On Time performance: 33 - Average Delay: 19 minutes)
- Flight Number: 5Y8822. (On Time performance: 40 - Average Delay: 18 minutes)
- Flight Number: 5Y8824. (On Time performance: 50 - Average Delay: 24 minutes)

Silk Way West Airlines
- Flight Number: 7L8112. (On Time performance: 62 - Average Delay: 24 minutes)
- Flight Number: 7L8115. (On Time performance: 38 - Average Delay: 31 minutes)

AeroLogic
- Flight Number: 3S587. (On Time performance: 76 - Average Delay: 10 minutes)

EVA Air
- Flight Number: BR634. (On Time performance: 64 - Average Delay: 15 minutes)

Air China Cargo
- Flight Number: CA1049.

China Airlines
- Flight Number: CI5312. (On Time performance: 38 - Average Delay: 18 minutes)

China Southern Airlines Cargo
- Flight Number: CSG2543. (On Time performance: 83 - Average Delay: 5 minutes)
- Flight Number: CSG2545. (On Time performance: 92 - Average Delay: 3 minutes)

Cargolux
- Flight Number: CV35Q. (On Time performance: 62 - Average Delay: 11 minutes)
- Flight Number: CV68V. (On Time performance: 38 - Average Delay: 17 minutes)
- Flight Number: CV81Z. (On Time performance: 77 - Average Delay: 12 minutes)

Kalitta Air
- Flight Number: K4223.
- Flight Number: K4591.
- Flight Number: K4613. (On Time performance: 62 - Average Delay: 27 minutes)
- Flight Number: K4615. (On Time performance: 52 - Average Delay: 44 minutes)
- Flight Number: K4617. (On Time performance: 69 - Average Delay: 16 minutes)
- Flight Number: K4671. (On Time performance: 69 - Average Delay: 22 minutes)
- Flight Number: K4919. (On Time performance: 57 - Average Delay: 24 minutes)
- Flight Number: K4925. (On Time performance: 75 - Average Delay: 24 minutes)
- Flight Number: K4935. (On Time performance: 67 - Average Delay: 22 minutes)
- Flight Number: K4963. (On Time performance: 65 - Average Delay: 11 minutes)

Korean Air
- Flight Number: KE249. (On Time performance: 78 - Average Delay: 15 minutes)
- Flight Number: KE257. (On Time performance: 92 - Average Delay: 3 minutes)
- Flight Number: KE8257. (On Time performance: 79 - Average Delay: 9 minutes)

SF Airlines
- Flight Number: O3181. (On Time performance: 86 - Average Delay: 12 minutes)

Asiana Airlines
- Flight Number: OZ587. (On Time performance: 53 - Average Delay: 59 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 October 27, 2024 to November 17, 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: 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