Yvo and utiketMalaysia

Utiket Flight Analytics for Flight Pelita Air IP201.
Between Surabaya and Jakarta.

What is the best month to arrive?

October

The best month to fly with Flight IP201 is October and the most expensive month to fly is December. (Average prices, based on 4066 datapoints.)

Jan
JanuaryPHP 3.677
Feb
FebruaryPHP 3.283
Mar
MarchPHP 3.005
Apr
AprilPHP 3.519
May
MayPHP 3.764
Jun
JunePHP 3.830
Jul
JulyPHP 3.610
Aug
AugustPHP 3.405
Sep
SeptemberPHP 3.040
Oct
OctoberPHP 2.839
Nov
NovemberPHP 3.765
Dec
DecemberPHP 4.121

What is the cheapest day to fly?

Tuesday

The best day to arrive at Surabaya is Tuesday and it would be best to avoid Saturday, as prices are on average 8.44% higher than on Tuesday. (Average prices, based on 839134635 datapoints.)

Mon
MondayPHP 4.069
Tue
TuesdayPHP 3.794
Wed
WednesdayPHP 3.890
Thu
ThursdayPHP 3.907
Fri
FridayPHP 4.098
Sat
SaturdayPHP 4.114
Sun
SundayPHP 4.028

How many days before departure should I book?

53 days

The best time to book is 53 days before the departure date. You will get, on average, the cheapest price for flight IP201. (Average prices, based on 1386 datapoints.)

0 days before departure
PHP 4.815
0
1 days before departure
PHP 4.413
2 days before departure
PHP 4.343
3 days before departure
PHP 3.983
4 days before departure
PHP 3.857
5 days before departure
PHP 3.879
5
6 days before departure
PHP 3.786
7 days before departure
PHP 3.819
8 days before departure
PHP 3.755
9 days before departure
PHP 3.711
10 days before departure
PHP 3.647
10
11 days before departure
PHP 3.786
12 days before departure
PHP 3.636
13 days before departure
PHP 3.756
14 days before departure
PHP 3.746
15 days before departure
PHP 3.958
15
16 days before departure
PHP 3.507
17 days before departure
PHP 3.822
18 days before departure
PHP 3.926
19 days before departure
PHP 4.296
20 days before departure
PHP 4.002
20
21 days before departure
PHP 3.752
22 days before departure
PHP 3.836
23 days before departure
PHP 3.679
24 days before departure
PHP 3.636
25 days before departure
PHP 3.988
25
26 days before departure
PHP 4.508
27 days before departure
PHP 3.257
28 days before departure
PHP 4.253
29 days before departure
PHP 4.533
30 days before departure
PHP 4.327
30
31 days before departure
PHP 4.328
32 days before departure
PHP 3.600
33 days before departure
PHP 3.526
34 days before departure
PHP 4.566
35 days before departure
PHP 3.878
35
36 days before departure
PHP 4.252
37 days before departure
PHP 3.360
38 days before departure
PHP 4.260
39 days before departure
PHP 4.216
40 days before departure
PHP 4.561
40
41 days before departure
PHP 4.343
42 days before departure
PHP 4.944
44 days before departure
PHP 4.166
45 days before departure
PHP 3.843
46 days before departure
PHP 4.486
46
47 days before departure
PHP 3.737
48 days before departure
PHP 4.569
49 days before departure
PHP 4.302
50 days before departure
PHP 4.345
51 days before departure
PHP 4.866
51
52 days before departure
PHP 4.264
53 days before departure
PHP 2.636
55 days before departure
PHP 3.371
56 days before departure
PHP 4.149
57 days before departure
PHP 3.945
57
58 days before departure
PHP 3.371
62 days before departure
PHP 4.224
63 days before departure
PHP 4.205
65 days before departure
PHP 3.371
69 days before departure
PHP 3.720
69

Price distribution of Flight IP201

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1393 datapoints.)

1% of Prices between:
714k - 759k
~737k
1% of Prices between:
759k - 804k
6% of Prices between:
848k - 893k
1% of Prices between:
893k - 938k
14% of Prices between:
938k - 982k
~960k
9% of Prices between:
982k - 1m
13% of Prices between:
1m - 1.1m
14% of Prices between:
1.1m - 1.1m
3% of Prices between:
1.1m - 1.2m
12% 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
2% of Prices between:
1.3m - 1.3m
3% of Prices between:
1.3m - 1.4m
10% of Prices between:
1.4m - 1.4m
~1.4m
1% of Prices between:
1.5m - 1.5m

Analyse direct flights between Surabaya and Jakarta.

Analyse prices for

Popular cities to analyse