Yvo and utiket

Utiket Flight Analytics for Flight Pelita Air IP321.
Between Pekanbaru and Jakarta.

What is the best month to arrive?

February

The best month to fly with Flight IP321 is February and the most expensive month to fly is June. (Average prices, based on 1590 datapoints.)

Jan
JanuaryPHP 6.120
Feb
FebruaryPHP 5.117
Mar
MarchPHP 5.631
Apr
AprilPHP 7.522
May
MayPHP 6.566
Jun
JunePHP 9.176
Jul
JulyPHP 7.231
Aug
AugustPHP 5.986
Sep
SeptemberPHP 7.652
Oct
OctoberPHP 6.171
Nov
NovemberPHP 5.766
Dec
DecemberPHP 6.182

What is the cheapest day to fly?

Tuesday

The best day to arrive at Pekanbaru is Tuesday and it would be best to avoid Saturday, as prices are on average 9.48% higher than on Tuesday. (Average prices, based on 208115861 datapoints.)

Mon
MondayPHP 4.954
Tue
TuesdayPHP 4.675
Wed
WednesdayPHP 4.795
Thu
ThursdayPHP 4.876
Fri
FridayPHP 4.912
Sat
SaturdayPHP 5.118
Sun
SundayPHP 4.987

How many days before departure should I book?

32 days

The best time to book is 32 days before the departure date. You will get, on average, the cheapest price for flight IP321. (Average prices, based on 1295 datapoints.)

0 days before departure
PHP 5.744
0
1 days before departure
PHP 5.223
2 days before departure
PHP 4.988
3 days before departure
PHP 4.829
4 days before departure
PHP 4.906
5 days before departure
PHP 4.735
5
6 days before departure
PHP 4.802
7 days before departure
PHP 4.739
8 days before departure
PHP 4.641
9 days before departure
PHP 4.672
10 days before departure
PHP 4.681
10
11 days before departure
PHP 5.002
12 days before departure
PHP 4.894
13 days before departure
PHP 4.879
14 days before departure
PHP 4.908
15 days before departure
PHP 4.874
15
16 days before departure
PHP 4.421
17 days before departure
PHP 4.763
18 days before departure
PHP 4.542
19 days before departure
PHP 4.751
20 days before departure
PHP 5.084
20
21 days before departure
PHP 4.654
22 days before departure
PHP 4.599
23 days before departure
PHP 4.620
24 days before departure
PHP 5.099
25 days before departure
PHP 5.016
25
26 days before departure
PHP 4.641
27 days before departure
PHP 4.782
28 days before departure
PHP 5.097
29 days before departure
PHP 4.754
30 days before departure
PHP 5.076
30
31 days before departure
PHP 5.364
32 days before departure
PHP 3.609
33 days before departure
PHP 5.590
34 days before departure
PHP 5.196
35 days before departure
PHP 5.183
35
36 days before departure
PHP 5.081
38 days before departure
PHP 5.030
39 days before departure
PHP 5.459
40 days before departure
PHP 4.258
41 days before departure
PHP 4.166
41
42 days before departure
PHP 4.498
43 days before departure
PHP 3.875
44 days before departure
PHP 5.360
45 days before departure
PHP 4.534
46 days before departure
PHP 5.494
46
48 days before departure
PHP 5.335
49 days before departure
PHP 5.107
50 days before departure
PHP 5.922
51 days before departure
PHP 4.142
52 days before departure
PHP 5.465
52
53 days before departure
PHP 5.698
54 days before departure
PHP 5.922
56 days before departure
PHP 5.922
57 days before departure
PHP 5.922
58 days before departure
PHP 5.918
58
59 days before departure
PHP 5.907
60 days before departure
PHP 3.662
61 days before departure
PHP 5.820
65 days before departure
PHP 5.922
66 days before departure
PHP 5.922
66

Price distribution of Flight IP321

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1312 datapoints.)

9% of Prices between:
984k - 1m
1% of Prices between:
1m - 1.1m
2% of Prices between:
1.1m - 1.1m
15% of Prices between:
1.1m - 1.2m
~1.2m
4% of Prices between:
1.2m - 1.3m
13% of Prices between:
1.3m - 1.3m
8% of Prices between:
1.3m - 1.4m
8% of Prices between:
1.4m - 1.4m
5% of Prices between:
1.4m - 1.5m
~1.4m
10% of Prices between:
1.5m - 1.5m
6% of Prices between:
1.5m - 1.6m
3% of Prices between:
1.6m - 1.6m
15% of Prices between:
1.6m - 1.7m
1% of Prices between:
1.7m - 1.7m
~1.7m
1% of Prices between:
1.7m - 1.8m
1% of Prices between:
1.8m - 1.9m

Analyse direct flights between Pekanbaru and Jakarta.

Analyse prices for

Popular cities to analyse