VN8093 Vietnam Airlines - Flight Status

Which is the frequency of flight VN8093?
The flight VN8093 is scheduled to flight on daily basis.

Which is the distance of flight VN8093?
The distance between the two airports is 231 kilometers.

Are the departure airport and arrival airport at the same Time Zone?
Yes, both airports are in the same timezone.

The following airlines serves the same route between Ho Chi Minh City and Con Dao:

VietJet Air
- Flight Number: VJ115.
- Flight Number: VJ117.

Vietnam Airlines
- Flight Number: VN1853.
- Flight Number: VN1857. (On Time performance: 83 - Average Delay: 11 minutes)
- Flight Number: VN1859. (On Time performance: 71 - Average Delay: 10 minutes)
- Flight Number: VN1885. (On Time performance: 84 - Average Delay: 6 minutes)
- Flight Number: VN1891. (On Time performance: 92 - Average Delay: 8 minutes)
- Flight Number: VN1893. (On Time performance: 85 - Average Delay: 17 minutes)
- Flight Number: VN1895. (On Time performance: 77 - Average Delay: 20 minutes)
- Flight Number: VN1897. (On Time performance: 76 - Average Delay: 10 minutes)
- Flight Number: VN8051.
- Flight Number: VN8055.
- Flight Number: VN8057.
- Flight Number: VN8059.
- Flight Number: VN8063.
- Flight Number: VN8067.
- Flight Number: VN8069.
- Flight Number: VN8073.
- Flight Number: VN8077.
- Flight Number: VN9007.

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 29, 2024 to April 23, 2025. 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: 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