5Y8822 Atlas Air - Flight Status

Which is the frequency of flight 5Y8822?
The flight 5Y8822 is scheduled to flight on Wednesday, Thursday, Friday, Sunday on a weekly basis.

Which is the distance of flight 5Y8822?
The distance between the two airports is 3377 miles.

Which is the flight time of flight 5Y8822?
The scheduled flight time gate to gate is: 06:29 hours.
The real flight time gate to gate on average is: 05:59 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 Anchorage: 2024-11-21 14:53:39
Current Time in New York: 2024-11-21 18:53:39

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

ASL Airlines Belgium
- Flight Number: 3V813. (On Time performance: 67 - Average Delay: 17 minutes)

Atlas Air
- Flight Number: 5Y8198. (On Time performance: 85 - Average Delay: 15 minutes)
- Flight Number: 5Y8241. (On Time performance: 49 - Average Delay: 35 minutes)
- Flight Number: 5Y8472. (On Time performance: 36 - Average Delay: 23 minutes)
- Flight Number: 5Y8540. (On Time performance: 38 - Average Delay: 82 minutes)
- Flight Number: 5Y8546. (On Time performance: 72 - Average Delay: 25 minutes)
- Flight Number: 5Y8609. (On Time performance: 70 - Average Delay: 17 minutes)
- Flight Number: 5Y8794. (On Time performance: 62 - Average Delay: 35 minutes)
- Flight Number: 5Y8820. (On Time performance: 40 - Average Delay: 16 minutes)
- Flight Number: 5Y8824. (On Time performance: 40 - Average Delay: 28 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: 73 - Average Delay: 11 minutes)

EVA Air
- Flight Number: BR634. (On Time performance: 70 - Average Delay: 14 minutes)

Air China Cargo
- Flight Number: CA1049. (On Time performance: 60 - Average Delay: 333 minutes)

China Airlines
- Flight Number: CI5312. (On Time performance: 34 - Average Delay: 19 minutes)

China Southern Airlines Cargo
- Flight Number: CSG2543. (On Time performance: 85 - Average Delay: 3 minutes)
- Flight Number: CSG2545. (On Time performance: 95 - Average Delay: 3 minutes)
- Flight Number: CSG2567.

Cargolux
- Flight Number: CV35Q. (On Time performance: 67 - Average Delay: 10 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: 65 - Average Delay: 25 minutes)
- Flight Number: K4615. (On Time performance: 52 - Average Delay: 46 minutes)
- Flight Number: K4617. (On Time performance: 69 - Average Delay: 14 minutes)
- Flight Number: K4671. (On Time performance: 67 - Average Delay: 36 minutes)
- Flight Number: K4919.
- Flight Number: K4925. (On Time performance: 75 - Average Delay: 24 minutes)
- Flight Number: K4963. (On Time performance: 65 - Average Delay: 13 minutes)

Korean Air
- Flight Number: KE249. (On Time performance: 75 - Average Delay: 15 minutes)
- Flight Number: KE257. (On Time performance: 92 - Average Delay: 3 minutes)
- Flight Number: KE8257. (On Time performance: 69 - Average Delay: 10 minutes)

SF Airlines
- Flight Number: O3181. (On Time performance: 83 - Average Delay: 14 minutes)

Asiana Airlines
- Flight Number: OZ587. (On Time performance: 50 - Average Delay: 70 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