E5327 Air Arabia Egypt - Flight Status

Which is the frequency of flight E5327?
The flight E5327 is scheduled to flight on Monday, Wednesday, Thursday, Friday, Saturday, Sunday on a weekly basis.

Which is the distance of flight E5327?
The distance between the two airports is 1217 kilometers.

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 Cairo: 2024-12-21 15:13:00
Current Time in Jeddah: 2024-12-21 16:13:00

The following airlines serves the same route between Cairo and Jeddah:

Flyadeal
- Flight Number: F3754.
- Flight Number: F3756. (On Time performance: 100 - Average Delay: 0 minutes)
- Flight Number: F3762. (On Time performance: 73 - Average Delay: 151 minutes)

EgyptAir
- Flight Number: MS1669. (On Time performance: 29 - Average Delay: 9 minutes)
- Flight Number: MS643. (On Time performance: 23 - Average Delay: 35 minutes)
- Flight Number: MS661. (On Time performance: 54 - Average Delay: 28 minutes)
- Flight Number: MS663. (On Time performance: 36 - Average Delay: 27 minutes)
- Flight Number: MS665. (On Time performance: 79 - Average Delay: 10 minutes)
- Flight Number: MS667. (On Time performance: 62 - Average Delay: 24 minutes)
- Flight Number: MS669. (On Time performance: 42 - Average Delay: 24 minutes)
- Flight Number: MS671. (On Time performance: 59 - Average Delay: 25 minutes)
- Flight Number: MS673. (On Time performance: 73 - Average Delay: 13 minutes)

Air Cairo
- Flight Number: SM423.
- Flight Number: SM459.
- Flight Number: SM471.
- Flight Number: SM475.
- Flight Number: SM477.
- Flight Number: SM479. (On Time performance: 66 - Average Delay: 114 minutes)

Nesma Airlines
- Flight Number: NE170.
- Flight Number: NE172.
- Flight Number: NE174.

Nile Air
- Flight Number: NP127.
- Flight Number: NP227.

Air Arabia Egypt
- Flight Number: E5321. (On Time performance: 87 - Average Delay: 41 minutes)
- Flight Number: E5361.

Saudia
- Flight Number: SV300. (On Time performance: 81 - Average Delay: 8 minutes)
- Flight Number: SV302. (On Time performance: 77 - Average Delay: 12 minutes)
- Flight Number: SV304. (On Time performance: 80 - Average Delay: 11 minutes)
- Flight Number: SV308. (On Time performance: 95 - Average Delay: 17 minutes)
- Flight Number: SV330. (On Time performance: 82 - Average Delay: 14 minutes)
- Flight Number: SV382. (On Time performance: 88 - Average Delay: 8 minutes)
- Flight Number: SV386. (On Time performance: 88 - Average Delay: 36 minutes)
- Flight Number: SV388. (On Time performance: 87 - Average Delay: 8 minutes)

Flynas
- Flight Number: XY566. (On Time performance: 89 - Average Delay: 5 minutes)
- Flight Number: XY568. (On Time performance: 87 - Average Delay: 10 minutes)
- Flight Number: XY570. (On Time performance: 76 - Average Delay: 11 minutes)
- Flight Number: XY572. (On Time performance: 50 - Average Delay: 17 minutes)
- Flight Number: XY578. (On Time performance: 77 - Average Delay: 13 minutes)
- Flight Number: XY590. (On Time performance: 69 - Average Delay: 15 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 June 19, 2024 to December 18, 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.

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 December 02, 2023 to November 30, 2024. 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.