Yvo and utiketMalaysia

Utiket Flight Analytics for Flight Thai AirAsia FD3023.
Between Bangkok and Phuket.

What is the best month to arrive?

June

The best month to fly with Flight FD3023 is June and the most expensive month to fly is February. (Average prices, based on 389 datapoints.)

Jan
JanuaryRp. 659.603
Feb
FebruaryRp. 1.208.157
Mar
MarchRp. 849.096
Apr
AprilRp. 807.165
May
MayRp. 556.283
Jun
JuneRp. 514.454
Jul
JulyRp. 838.421
Aug
AugustRp. 634.398
Sep
SeptemberRp. 568.783
Oct
OctoberRp. 713.753
Nov
NovemberRp. 810.893
Dec
DecemberRp. 1.072.892

What is the cheapest day to fly?

Tuesday

The best day to arrive at Bangkok is Tuesday and it would be best to avoid Saturday, as prices are on average 36.4% higher than on Tuesday. (Average prices, based on 57002752 datapoints.)

Mon
MondayRp. 710.593
Tue
TuesdayRp. 685.648
Wed
WednesdayRp. 842.283
Thu
ThursdayRp. 879.963
Fri
FridayRp. 858.187
Sat
SaturdayRp. 935.234
Sun
SundayRp. 804.856

Price distribution of Flight FD3023

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 362 datapoints.)

3% of Prices between:
265k - 318k
~292k
3% of Prices between:
318k - 371k
6% of Prices between:
371k - 425k
10% of Prices between:
425k - 478k
10% of Prices between:
478k - 531k
8% of Prices between:
531k - 584k
~557k
8% of Prices between:
584k - 637k
9% of Prices between:
637k - 690k
6% of Prices between:
690k - 743k
7% of Prices between:
743k - 796k
2% of Prices between:
796k - 849k
~823k
4% of Prices between:
849k - 902k
3% of Prices between:
902k - 955k
6% of Prices between:
955k - 1m
3% of Prices between:
1m - 1.1m
2% of Prices between:
1.1m - 1.1m
~1.1m
1% of Prices between:
1.1m - 1.2m
2% of Prices between:
1.2m - 1.2m
1% of Prices between:
1.3m - 1.4m
1% of Prices between:
1.4m - 1.4m
1% of Prices between:
1.4m - 1.5m
~1.5m
2% of Prices between:
1.5m - 1.6m
1% of Prices between:
1.6m - 1.6m
1% of Prices between:
1.6m - 1.7m

Analyse direct flights between Bangkok and Phuket.

Analyse prices for

Popular cities to analyse