Flights from Guangzhou to Sanya
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We search agencies and airlines for your day: nonstop and connecting flights, baggage, departure and arrival times.
Guangzhou to Sanya at a glance
- flight time, from 1h 20m to 2h 5m
- 1h 40m
- straight-line distance
- 415 mi (668 km)
- flights a week
- 123
- flights today
- 3
- first and last departure
- 06:50 - 23:25
- lowest price, nonstop, 26 September
- $303
- airlines
- 4
Guangzhou to Sanya flight schedule
123 flights a week, 3 today, 16 seasonal or one-off. Departure and arrival times are local.
Seasonal and one-off flights
Not operating in the next two weeks. The first of them is on 28 March.
Days of the week are taken from the schedule for the next 14 days; schedules change by season. The search shows seat availability and the price for your date.
Airlines flying Guangzhou to Sanya
Flights a week by schedule and the cheapest nonstop fare of each airline found by recent searches
China Southern Airlines: 13 flights, first departure at 06:55, last at 23:25
MTWTFSS
China Southern Airlines Guangzhou to Sanya
Hainan Airlines: 3 flights, first departure at 07:35, last at 23:20
MTWTFSS
Hainan Airlines Guangzhou to Sanya
Shenzhen Airlines: 3 flights, first departure at 07:00, last at 16:25
MTWTFSS
Shenzhen Airlines Guangzhou to Sanya
9 Air: 2 flights, first departure at 06:50, last at 19:20
MTWTFSS
9 Air Guangzhou to Sanya
Airports
Where flights from Guangzhou to Sanya depart and land
Departure from Guangzhou
74 flights a week, terminals 2, 3, 18 mi (29 km) from the city centre
49 flights a week, 48 mi (78 km) from the city centre
Arrival in Sanya
123 flights a week, terminals 1, 2, 3, 8 mi (13 km) from the city centre
When to visit Sanya
Weather by month
Best time to visit: January, February, March, April, November and December, +25° to +29° by day, sea +24° to +28°. In November it is +28° by day and +21° at night, sea +28°, with 9 rainy days.
Daytime and night temperatures in °C, sea temperature (in blue), rainy days. Months with the most comfortable weather are in green. Long-term averages.