Yvo and utiketUnited States

Utiket Flight Analytics for Flight Pelita Air IP324.
Between Jakarta and Pekanbaru.

What is the best month to arrive?

September

The best month to fly with Flight IP324 is September and the most expensive month to fly is March. (Average prices, based on 4802 datapoints.)

Jan
JanuaryTHB 3.334
Feb
FebruaryTHB 3.438
Mar
MarchTHB 4.484
Apr
AprilTHB 3.925
May
MayTHB 3.786
Jun
JuneTHB 3.949
Jul
JulyTHB 3.709
Aug
AugustTHB 3.481
Sep
SeptemberTHB 3.278
Oct
OctoberTHB 3.308
Nov
NovemberTHB 3.349
Dec
DecemberTHB 3.836

What is the cheapest day to fly?

Thursday

The best day to arrive at Jakarta is Thursday and it would be best to avoid Sunday, as prices are on average 15.58% higher than on Thursday. (Average prices, based on 270777901 datapoints.)

Mon
MondayTHB 2.670
Tue
TuesdayTHB 2.560
Wed
WednesdayTHB 2.657
Thu
ThursdayTHB 2.538
Fri
FridayTHB 2.621
Sat
SaturdayTHB 2.744
Sun
SundayTHB 2.934

How many days before departure should I book?

36 days

The best time to book is 36 days before the departure date. You will get, on average, the cheapest price for flight IP324. (Average prices, based on 1406 datapoints.)

0 days before departure
THB 2.986
0
1 days before departure
THB 2.707
2 days before departure
THB 2.669
3 days before departure
THB 2.571
4 days before departure
THB 2.585
5 days before departure
THB 2.664
5
6 days before departure
THB 2.535
7 days before departure
THB 2.552
8 days before departure
THB 2.549
9 days before departure
THB 2.488
10 days before departure
THB 2.554
10
11 days before departure
THB 2.580
12 days before departure
THB 2.641
13 days before departure
THB 2.649
14 days before departure
THB 2.598
15 days before departure
THB 2.682
15
16 days before departure
THB 2.729
17 days before departure
THB 2.783
18 days before departure
THB 2.592
19 days before departure
THB 2.659
20 days before departure
THB 2.795
20
21 days before departure
THB 2.696
22 days before departure
THB 2.750
23 days before departure
THB 2.836
24 days before departure
THB 2.572
25 days before departure
THB 2.734
25
26 days before departure
THB 2.442
27 days before departure
THB 2.644
28 days before departure
THB 2.724
29 days before departure
THB 2.881
30 days before departure
THB 2.380
30
31 days before departure
THB 2.515
32 days before departure
THB 2.705
33 days before departure
THB 2.750
34 days before departure
THB 2.848
35 days before departure
THB 2.794
35
36 days before departure
THB 1.990
37 days before departure
THB 3.303
38 days before departure
THB 2.561
39 days before departure
THB 3.079
40 days before departure
THB 3.006
40
41 days before departure
THB 2.840
42 days before departure
THB 3.013
43 days before departure
THB 2.488
44 days before departure
THB 2.347
45 days before departure
THB 2.994
45
46 days before departure
THB 2.971
47 days before departure
THB 3.303
48 days before departure
THB 3.315
49 days before departure
THB 2.764
50 days before departure
THB 2.826
50
51 days before departure
THB 3.125
52 days before departure
THB 3.077
53 days before departure
THB 2.715
54 days before departure
THB 3.321
55 days before departure
THB 3.583
55
56 days before departure
THB 3.240
57 days before departure
THB 3.303
58 days before departure
THB 3.293
59 days before departure
THB 2.965
60 days before departure
THB 3.303
60

Price distribution of Flight IP324

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1450 datapoints.)

1% of Prices between:
959k - 1m
1% of Prices between:
1m - 1.1m
13% of Prices between:
1.1m - 1.1m
4% of Prices between:
1.1m - 1.2m
~1.1m
12% of Prices between:
1.2m - 1.2m
8% of Prices between:
1.2m - 1.3m
5% of Prices between:
1.3m - 1.3m
14% of Prices between:
1.3m - 1.4m
3% of Prices between:
1.4m - 1.4m
~1.4m
9% of Prices between:
1.4m - 1.5m
3% of Prices between:
1.5m - 1.5m
7% of Prices between:
1.5m - 1.6m
3% of Prices between:
1.6m - 1.7m
2% of Prices between:
1.7m - 1.7m
~1.7m
13% of Prices between:
1.7m - 1.8m

Analyse direct flights between Jakarta and Pekanbaru.

Analyse prices for

Popular cities to analyse