Yvo and utiketIndonesia

Utiket Flight Analytics for Flight Thai AirAsia FD3013.
Between Bangkok and Phuket.

What is the best month to arrive?

June

The best month to fly with Flight FD3013 is June and the most expensive month to fly is February. (Average prices, based on 463 datapoints.)

JanuaryRp. 695.312
Jan
FebruaryRp. 1.171.185
Feb
MarchRp. 829.906
Mar
AprilRp. 690.914
Apr
MayRp. 550.145
May
JuneRp. 548.907
Jun
JulyRp. 820.795
Jul
AugustRp. 651.081
Aug
SeptemberRp. 571.941
Sep
OctoberRp. 722.164
Oct
NovemberRp. 857.323
Nov
DecemberRp. 973.256
Dec

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 31.95% higher than on Tuesday. (Average prices, based on 46066834 datapoints.)

MondayRp. 739.833
Mon
TuesdayRp. 723.776
Tue
WednesdayRp. 724.570
Wed
ThursdayRp. 832.718
Thu
FridayRp. 926.670
Fri
SaturdayRp. 954.994
Sat
SundayRp. 836.303
Sun

Price distribution of Flight FD3013

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 424 datapoints.)

3% of Prices between:
247k - 296k
~272k
2% of Prices between:
296k - 346k
3% of Prices between:
346k - 395k
4% of Prices between:
395k - 445k
8% of Prices between:
445k - 494k
10% of Prices between:
494k - 543k
~519k
6% of Prices between:
543k - 593k
11% of Prices between:
593k - 642k
10% of Prices between:
642k - 691k
6% of Prices between:
691k - 741k
7% of Prices between:
741k - 790k
~766k
4% of Prices between:
790k - 840k
5% of Prices between:
840k - 889k
4% of Prices between:
889k - 938k
2% of Prices between:
938k - 988k
4% of Prices between:
988k - 1m
~1m
2% of Prices between:
1m - 1.1m
2% of Prices between:
1.1m - 1.1m
2% of Prices between:
1.1m - 1.2m
1% of Prices between:
1.2m - 1.2m
1% of Prices between:
1.2m - 1.3m
~1.3m
1% of Prices between:
1.3m - 1.3m
1% of Prices between:
1.4m - 1.4m
1% of Prices between:
1.5m - 1.6m

Analyse direct flights between Bangkok and Phuket.

Analyse prices for

Popular cities to analyse