5Y804 Atlas Air - Flight Status

Which is the frequency of flight 5Y804?
The flight 5Y804 is scheduled to flight on Thursday, Saturday on a weekly basis.

Which is the distance of flight 5Y804?
The distance between the two airports is 6921 kilometers.

Which is the flight time of flight 5Y804?
The scheduled flight time gate to gate is: 07:56 hours.
The real flight time gate to gate on average is: 17:09 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: 2026-08-18 22:58:00
Current Time in Anchorage: 2026-08-18 06:58:00

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

UPS
- Flight Number: 5X81. (On Time performance: 8 - Average Delay: 70 minutes)

Atlas Air
- Flight Number: 5Y365.
- Flight Number: 5Y512. (On Time performance: 16 - Average Delay: 100 minutes)
- Flight Number: 5Y518. (On Time performance: 6 - Average Delay: 166 minutes)
- Flight Number: 5Y532. (On Time performance: 7 - Average Delay: 99 minutes)
- Flight Number: 5Y538. (On Time performance: 8 - Average Delay: 108 minutes)
- Flight Number: 5Y751. (On Time performance: 3 - Average Delay: 107 minutes)
- Flight Number: 5Y753. (On Time performance: 7 - Average Delay: 110 minutes)
- Flight Number: 5Y755. (On Time performance: 8 - Average Delay: 81 minutes)
- Flight Number: 5Y8102. (On Time performance: 8 - Average Delay: 107 minutes)
- Flight Number: 5Y812. (On Time performance: 10 - Average Delay: 82 minutes)
- Flight Number: 5Y8174. (On Time performance: 3 - Average Delay: 114 minutes)
- Flight Number: 5Y8275.
- Flight Number: 5Y8422. (On Time performance: 20 - Average Delay: 141 minutes)
- Flight Number: 5Y8676. (On Time performance: 6 - Average Delay: 91 minutes)
- Flight Number: 5Y8904.
- Flight Number: 5Y8915. (On Time performance: 23 - Average Delay: 30 minutes)

Air China
- Flight Number: CA1009. (On Time performance: 4 - Average Delay: 57 minutes)
- Flight Number: CA1187. (On Time performance: 4 - Average Delay: 50 minutes)
- Flight Number: CA1189. (On Time performance: 12 - Average Delay: 53 minutes)

China Southern Cargo
- Flight Number: CSG2521. (On Time performance: 25 - Average Delay: 35 minutes)
- Flight Number: CSG2523. (On Time performance: 31 - Average Delay: 37 minutes)
- Flight Number: CSG2525. (On Time performance: 23 - Average Delay: 70 minutes)

China Southern Airlines
- Flight Number: CZ5227.
- Flight Number: CZ5229. (On Time performance: 11 - Average Delay: 54 minutes)

Kalitta Air
- Flight Number: K4915.
- Flight Number: K4917. (On Time performance: 19 - Average Delay: 172 minutes)
- Flight Number: K4919. (On Time performance: 15 - Average Delay: 136 minutes)
- Flight Number: K4979. (On Time performance: 7 - Average Delay: 156 minutes)

Korean Air
- Flight Number: KE249. (On Time performance: 26 - Average Delay: 54 minutes)
- Flight Number: KE259. (On Time performance: 7 - Average Delay: 97 minutes)

National Airlines
- Flight Number: N8652. (On Time performance: 7 - Average Delay: 172 minutes)

Polar Air Cargo
- Flight Number: PO998. (On Time performance: 18 - Average Delay: 95 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 21, 2026 to August 01, 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: We have gathered available data from last twelve closed months, spanning from March 21, 2026 to July 30, 2026. 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.