Yvo and utiketNew Zealand

Utiket Flight Analytics for Flight Citilink QG502.
Between Jakarta and Kuala Lumpur.

What is the best month to arrive?

October

The best month to fly with Flight QG502 is October and the most expensive month to fly is December. (Average prices, based on 1246 datapoints.)

Jan
JanuaryAUD 107
Feb
FebruaryAUD 96
Mar
MarchAUD 129
Apr
AprilAUD 125
May
MayAUD 124
Jun
JuneAUD 118
Jul
JulyAUD 97
Aug
AugustAUD 81
Sep
SeptemberAUD 97
Oct
OctoberAUD 78
Nov
NovemberAUD 87
Dec
DecemberAUD 132

What is the cheapest day to fly?

Tuesday

The best day to arrive at Jakarta is Tuesday and it would be best to avoid Saturday, as prices are on average 17.29% higher than on Tuesday. (Average prices, based on 512269678 datapoints.)

Mon
MondayAUD 129
Tue
TuesdayAUD 114
Wed
WednesdayAUD 124
Thu
ThursdayAUD 127
Fri
FridayAUD 132
Sat
SaturdayAUD 134
Sun
SundayAUD 130

How many days before departure should I book?

15 days

The best time to book is 15 days before the departure date. You will get, on average, the cheapest price for flight QG502. (Average prices, based on 2280 datapoints.)

0 days before departure
AUD 160
0
1 days before departure
AUD 145
2 days before departure
AUD 136
3 days before departure
AUD 139
4 days before departure
AUD 132
5 days before departure
AUD 127
5
6 days before departure
AUD 122
7 days before departure
AUD 119
8 days before departure
AUD 114
9 days before departure
AUD 120
10 days before departure
AUD 129
10
11 days before departure
AUD 120
12 days before departure
AUD 117
13 days before departure
AUD 123
14 days before departure
AUD 113
15 days before departure
AUD 111
15
16 days before departure
AUD 129
17 days before departure
AUD 120
18 days before departure
AUD 132
19 days before departure
AUD 119
20 days before departure
AUD 129
20
21 days before departure
AUD 117
22 days before departure
AUD 161
23 days before departure
AUD 122
24 days before departure
AUD 124
25 days before departure
AUD 126
25
26 days before departure
AUD 114
27 days before departure
AUD 139
28 days before departure
AUD 144
29 days before departure
AUD 141
30 days before departure
AUD 125
30
31 days before departure
AUD 132
32 days before departure
AUD 147
33 days before departure
AUD 154
34 days before departure
AUD 151
35 days before departure
AUD 118
35
36 days before departure
AUD 118
37 days before departure
AUD 145
38 days before departure
AUD 139
39 days before departure
AUD 152
40 days before departure
AUD 122
40
41 days before departure
AUD 137
42 days before departure
AUD 160
43 days before departure
AUD 147
44 days before departure
AUD 151
45 days before departure
AUD 118
45
46 days before departure
AUD 139
47 days before departure
AUD 127
48 days before departure
AUD 111
49 days before departure
AUD 143
50 days before departure
AUD 135
50
51 days before departure
AUD 130
52 days before departure
AUD 138
53 days before departure
AUD 159
54 days before departure
AUD 136
55 days before departure
AUD 127
55
56 days before departure
AUD 133
57 days before departure
AUD 133
58 days before departure
AUD 114
59 days before departure
AUD 146
60 days before departure
AUD 213
60

Price distribution of Flight QG502

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 2822 datapoints.)

1% of Prices between:
665k - 760k
7% of Prices between:
760k - 855k
2% of Prices between:
855k - 950k
9% of Prices between:
950k - 1m
7% of Prices between:
1m - 1.1m
~1.1m
8% of Prices between:
1.1m - 1.2m
7% of Prices between:
1.2m - 1.3m
8% of Prices between:
1.3m - 1.4m
9% of Prices between:
1.4m - 1.5m
6% of Prices between:
1.5m - 1.6m
~1.6m
6% of Prices between:
1.6m - 1.7m
4% of Prices between:
1.7m - 1.8m
3% of Prices between:
1.8m - 1.9m
4% of Prices between:
1.9m - 2m
3% of Prices between:
2m - 2.1m
~2m
2% of Prices between:
2.1m - 2.2m
2% of Prices between:
2.2m - 2.3m
1% of Prices between:
2.3m - 2.4m
2% of Prices between:
2.4m - 2.5m
1% of Prices between:
2.6m - 2.7m

Analyse direct flights between Jakarta and Kuala Lumpur.

Analyse prices for

Popular cities to analyse