Yvo and utiketMalaysia

Utiket Flight Analytics for Flight Citilink QG437.
Between Balikpapan and Jakarta.

What is the cheapest day to fly?

Thursday

The best day to arrive at Balikpapan is Thursday and it would be best to avoid Sunday, as prices are on average 4.1% higher than on Thursday. (Average prices, based on 157278824 datapoints.)

Mon
MondayPHP 4.729
Tue
TuesdayPHP 4.712
Wed
WednesdayPHP 4.730
Thu
ThursdayPHP 4.689
Fri
FridayPHP 4.833
Sat
SaturdayPHP 4.758
Sun
SundayPHP 4.882

How many days before departure should I book?

47 days

The best time to book is 47 days before the departure date. You will get, on average, the cheapest price for flight QG437. (Average prices, based on 2889 datapoints.)

0 days before departure
PHP 4.852
0
1 days before departure
PHP 4.845
2 days before departure
PHP 4.650
3 days before departure
PHP 4.654
4 days before departure
PHP 4.782
5 days before departure
PHP 4.776
5
6 days before departure
PHP 4.608
7 days before departure
PHP 4.555
8 days before departure
PHP 4.614
9 days before departure
PHP 4.846
10 days before departure
PHP 4.647
10
11 days before departure
PHP 4.546
12 days before departure
PHP 4.893
13 days before departure
PHP 4.578
14 days before departure
PHP 4.870
15 days before departure
PHP 5.241
15
16 days before departure
PHP 4.828
17 days before departure
PHP 4.842
18 days before departure
PHP 4.809
19 days before departure
PHP 5.098
20 days before departure
PHP 5.138
20
21 days before departure
PHP 4.879
22 days before departure
PHP 5.223
23 days before departure
PHP 5.394
24 days before departure
PHP 5.160
25 days before departure
PHP 4.889
25
26 days before departure
PHP 4.574
27 days before departure
PHP 4.625
28 days before departure
PHP 4.997
29 days before departure
PHP 5.106
30 days before departure
PHP 4.841
30
31 days before departure
PHP 5.488
32 days before departure
PHP 5.008
33 days before departure
PHP 4.787
34 days before departure
PHP 4.953
35 days before departure
PHP 4.601
35
36 days before departure
PHP 4.968
37 days before departure
PHP 5.146
38 days before departure
PHP 4.499
39 days before departure
PHP 6.022
40 days before departure
PHP 4.516
40
41 days before departure
PHP 4.628
42 days before departure
PHP 4.776
43 days before departure
PHP 5.480
44 days before departure
PHP 5.230
45 days before departure
PHP 5.362
45
46 days before departure
PHP 5.394
47 days before departure
PHP 4.132
48 days before departure
PHP 4.541
49 days before departure
PHP 4.610
50 days before departure
PHP 5.798
50
51 days before departure
PHP 4.759
52 days before departure
PHP 4.944
53 days before departure
PHP 6.043
54 days before departure
PHP 4.714
55 days before departure
PHP 6.242
55
56 days before departure
PHP 5.159
57 days before departure
PHP 4.159
58 days before departure
PHP 4.410
60 days before departure
PHP 4.159
61 days before departure
PHP 4.677
61

Price distribution of Flight QG437

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 3004 datapoints.)

1% of Prices between:
590k - 635k
2% of Prices between:
635k - 681k
1% of Prices between:
681k - 726k
2% of Prices between:
726k - 772k
~749k
1% of Prices between:
772k - 817k
2% of Prices between:
817k - 862k
3% of Prices between:
862k - 908k
2% of Prices between:
953k - 998k
~976k
4% of Prices between:
998k - 1m
5% of Prices between:
1m - 1.1m
4% of Prices between:
1.1m - 1.1m
3% of Prices between:
1.1m - 1.2m
5% of Prices between:
1.2m - 1.2m
~1.2m
3% of Prices between:
1.2m - 1.3m
4% of Prices between:
1.3m - 1.3m
7% of Prices between:
1.3m - 1.4m
3% of Prices between:
1.4m - 1.4m
8% of Prices between:
1.4m - 1.5m
~1.4m
6% of Prices between:
1.5m - 1.5m
6% of Prices between:
1.5m - 1.5m
5% of Prices between:
1.5m - 1.6m
2% of Prices between:
1.6m - 1.6m
4% of Prices between:
1.6m - 1.7m
~1.7m
2% of Prices between:
1.7m - 1.7m
4% of Prices between:
1.7m - 1.8m
11% of Prices between:
1.8m - 1.8m
1% of Prices between:
1.8m - 1.9m
1% of Prices between:
1.9m - 1.9m
~1.9m

Analyse direct flights between Balikpapan and Jakarta.

Analyse prices for

Popular cities to analyse