Yvo and utiketNew Zealand

Utiket Flight Analytics for Flight Garuda Indonesia GA9307.
Between Kuala Lumpur and Surabaya.

What is the best month to arrive?

February

The best month to fly with Flight GA9307 is February and the most expensive month to fly is June. (Average prices, based on 1766 datapoints.)

JanuaryPHP 6.550
Jan
FebruaryPHP 4.906
Feb
MarchPHP 5.543
Mar
AprilPHP 5.541
Apr
MayPHP 7.235
May
JunePHP 8.366
Jun
JulyPHP 6.953
Jul
AugustPHP 6.729
Aug
SeptemberPHP 7.141
Sep
OctoberPHP 6.041
Oct
NovemberPHP 7.195
Nov
DecemberPHP 6.443
Dec

What is the cheapest day to fly?

Saturday

The best day to arrive at Kuala Lumpur is Saturday and it would be best to avoid Sunday, as prices are on average 15.21% higher than on Saturday. (Average prices, based on 89722960 datapoints.)

MondayPHP 11.623
Mon
TuesdayPHP 12.007
Tue
WednesdayPHP 11.120
Wed
ThursdayPHP 11.003
Thu
FridayPHP 12.059
Fri
SaturdayPHP 10.817
Sat
SundayPHP 12.462
Sun

How many days before departure should I book?

51 days

The best time to book is 51 days before the departure date. You will get, on average, the cheapest price for flight GA9307. (Average prices, based on 1098 datapoints.)

0 days before departure
PHP 19.861
0
1 days before departure
PHP 12.807
2 days before departure
PHP 12.794
3 days before departure
PHP 14.653
4 days before departure
PHP 14.908
5 days before departure
PHP 11.266
5
6 days before departure
PHP 11.361
7 days before departure
PHP 11.758
8 days before departure
PHP 11.355
9 days before departure
PHP 19.103
10 days before departure
PHP 11.733
10
11 days before departure
PHP 10.986
12 days before departure
PHP 10.568
13 days before departure
PHP 8.318
14 days before departure
PHP 10.439
15 days before departure
PHP 10.637
15
16 days before departure
PHP 11.800
17 days before departure
PHP 10.511
18 days before departure
PHP 10.217
19 days before departure
PHP 11.208
20 days before departure
PHP 10.649
20
21 days before departure
PHP 10.543
22 days before departure
PHP 11.810
23 days before departure
PHP 12.079
24 days before departure
PHP 9.332
25 days before departure
PHP 9.912
25
26 days before departure
PHP 13.379
27 days before departure
PHP 11.356
28 days before departure
PHP 13.926
29 days before departure
PHP 12.095
30 days before departure
PHP 12.885
30
31 days before departure
PHP 11.456
32 days before departure
PHP 9.485
33 days before departure
PHP 11.692
34 days before departure
PHP 11.497
35 days before departure
PHP 8.528
35
36 days before departure
PHP 10.624
37 days before departure
PHP 7.262
38 days before departure
PHP 8.269
39 days before departure
PHP 8.946
40 days before departure
PHP 7.737
40
41 days before departure
PHP 10.610
42 days before departure
PHP 10.169
43 days before departure
PHP 9.478
44 days before departure
PHP 10.967
45 days before departure
PHP 10.449
45
46 days before departure
PHP 10.745
47 days before departure
PHP 9.260
48 days before departure
PHP 8.433
49 days before departure
PHP 10.387
50 days before departure
PHP 9.448
50
51 days before departure
PHP 7.081
52 days before departure
PHP 12.366
53 days before departure
PHP 9.027
54 days before departure
PHP 8.489
55 days before departure
PHP 10.345
55
57 days before departure
PHP 12.664
58 days before departure
PHP 10.222
59 days before departure
PHP 11.639
60 days before departure
PHP 11.320
62 days before departure
PHP 7.150
62

Price distribution of Flight GA9307

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1189 datapoints.)

9% of Prices between:
1.5m - 1.8m
~1.6m
9% of Prices between:
1.8m - 2.1m
~1.9m
2% of Prices between:
2.1m - 2.4m
~2.2m
28% of Prices between:
2.4m - 2.6m
~2.5m
10% of Prices between:
2.6m - 2.9m
~2.8m
6% of Prices between:
2.9m - 3.2m
~3.1m
1% of Prices between:
3.2m - 3.5m
~3.4m
8% of Prices between:
3.5m - 3.8m
~3.7m
8% of Prices between:
3.8m - 4.1m
~4m
4% of Prices between:
4.1m - 4.4m
~4.3m
1% of Prices between:
4.4m - 4.7m
~4.6m
3% of Prices between:
4.7m - 5m
~4.9m
1% of Prices between:
5m - 5.3m
~5.1m

Analyse direct flights between Kuala Lumpur and Surabaya.

Analyse prices for

Popular cities to analyse