Landed On Time
Departure: Sat, Oct 17, 2026
Scheduled:
13:30
|
Actual:
13:55
Arrival: Sat, Oct 17, 2026
Scheduled:
17:20
|
Actual:
16:54

EY 5909 Flight Status & Schedule

Date Departure Arrival Status
Oct 17 13:55 16:54
Landed
Track >
Oct 15 13:41 16:52
Landed
Track >
Oct 10 14:06 17:07
Landed
Track >
Oct 08 13:30 16:49
Landed
Track >
Oct 06 13:31 16:44
Landed
Track >

Etihad Airways EY 5909 Mangshi to Beijing Flight Information

Etihad Airways Flight EY5909 connects Mangshi, China to Beijing, China, taking off from Mangshi Airport LUM and landing at Beijing Daxing International Airport PKX.

How long is the EY5909 flight from Mangshi to Beijing?

The average flight time from Mangshi to Beijing is 3 hours and 11 minutes. The flight distance is 2371 km / 1473 miles and the average flight speed is 742 km/h / 461 mph.

How many EY5909 flights are operated per week?

2 flights per week. The flight EY5909 is operated on Thursday and Saturday.

What is the On-Time Performance (OTP) of Etihad Airways Flight EY5909 Mangshi to Beijing?

The Airportia On-Time Performance Rating for Etihad Airways Flight EY5909 is 5/5 stars. This metric is calculated using data from the past 10 flights.

When was the latest EY5909 flight?

The latest flight took off on Saturday, October 17th, 2026 with the flight status being Landed on 16:54.

How else can the flight EY5909 be referenced as?

This Etihad Airways flight can also be referenced as ETD5909, EY 5909, ETD 5909.

How often is flight EY5909 delayed?

On average, 0% of all EY5909 flights are delayed. The average delay is 0 minutes.

See our EY5909 Flight Tracker above for more details.

EY5909 and Mangshi LUM to Beijing PKX Flights

Other flights departing from Mangshi LUM: TV6001, MU5717, CA4438, 9C6952

Other flights arriving at Beijing PKX: MU5717, JD5064, CZ5128, CA8614

All flights connecting Mangshi LUM to Beijing PKX.

EY5909 Etihad Airways Flight: Mangshi to Beijing Route Map

EY5909 Etihad Airways Flight Map: Mangshi to Beijing
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Flight-schedule data supplied by Aviation Edge Real-time Flight Schedules API.