Yvo and utiketPhilippines
Flight number:

Utiket Flight Analytics for Flight Batik Air ID7631.
Between Jakarta and Bangkok.

What is the best month to arrive?

January

The best month to fly with Flight ID7631 is January and the most expensive month to fly is December. (Average prices, based on 1445 datapoints.)

JanuaryPHP 6.835
Jan
FebruaryPHP 7.389
Feb
MarchPHP 8.466
Mar
AprilPHP 10.004
Apr
MayPHP 8.418
May
JunePHP 9.212
Jun
JulyPHP 7.976
Jul
AugustPHP 7.664
Aug
SeptemberPHP 9.455
Sep
OctoberPHP 7.471
Oct
NovemberPHP 9.484
Nov
DecemberPHP 10.375
Dec

What is the cheapest day to fly?

Monday

The best day to arrive at Jakarta is Monday and it would be best to avoid Thursday, as prices are on average 28.19% higher than on Monday. (Average prices, based on 36287545 datapoints.)

MondayPHP 7.627
Mon
TuesdayPHP 7.666
Tue
WednesdayPHP 8.855
Wed
ThursdayPHP 9.776
Thu
FridayPHP 8.734
Fri
SaturdayPHP 8.990
Sat
SundayPHP 8.212
Sun

How many days before departure should I book?

54 days

The best time to book is 54 days before the departure date. You will get, on average, the cheapest price for flight ID7631. (Average prices, based on 1161 datapoints.)

0 days before departure
PHP 11.584
0
1 days before departure
PHP 10.710
2 days before departure
PHP 11.182
3 days before departure
PHP 8.660
4 days before departure
PHP 9.714
5 days before departure
PHP 9.840
5
6 days before departure
PHP 9.380
7 days before departure
PHP 8.491
8 days before departure
PHP 8.498
9 days before departure
PHP 8.430
10 days before departure
PHP 8.943
10
11 days before departure
PHP 8.081
12 days before departure
PHP 7.488
13 days before departure
PHP 8.179
14 days before departure
PHP 8.551
15 days before departure
PHP 7.871
15
16 days before departure
PHP 8.027
17 days before departure
PHP 8.048
18 days before departure
PHP 8.806
19 days before departure
PHP 7.188
20 days before departure
PHP 8.595
20
21 days before departure
PHP 9.169
22 days before departure
PHP 10.363
23 days before departure
PHP 9.198
24 days before departure
PHP 7.289
25 days before departure
PHP 7.752
25
26 days before departure
PHP 7.921
27 days before departure
PHP 7.465
28 days before departure
PHP 8.857
29 days before departure
PHP 8.013
30 days before departure
PHP 6.688
30
31 days before departure
PHP 8.533
32 days before departure
PHP 7.227
33 days before departure
PHP 8.496
34 days before departure
PHP 7.632
35 days before departure
PHP 8.198
35
36 days before departure
PHP 7.454
37 days before departure
PHP 7.984
38 days before departure
PHP 6.947
39 days before departure
PHP 10.732
40 days before departure
PHP 10.009
40
41 days before departure
PHP 9.130
42 days before departure
PHP 8.912
43 days before departure
PHP 10.168
44 days before departure
PHP 9.235
45 days before departure
PHP 8.678
45
46 days before departure
PHP 8.325
47 days before departure
PHP 7.534
48 days before departure
PHP 8.713
49 days before departure
PHP 6.734
50 days before departure
PHP 7.339
50
51 days before departure
PHP 9.166
52 days before departure
PHP 9.141
53 days before departure
PHP 6.381
54 days before departure
PHP 5.607
55 days before departure
PHP 5.736
55
56 days before departure
PHP 9.039
57 days before departure
PHP 9.902
58 days before departure
PHP 12.436
59 days before departure
PHP 9.760
60 days before departure
PHP 8.168
60

Price distribution of Flight ID7631

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1436 datapoints.)

7% of Prices between:
1m - 1.3m
8% of Prices between:
1.3m - 1.5m
13% of Prices between:
1.5m - 1.7m
7% of Prices between:
1.7m - 1.9m
15% of Prices between:
1.9m - 2.1m
~2m
13% of Prices between:
2.1m - 2.3m
8% of Prices between:
2.3m - 2.5m
4% of Prices between:
2.5m - 2.7m
6% of Prices between:
2.7m - 2.9m
3% of Prices between:
2.9m - 3.1m
~3m
2% of Prices between:
3.1m - 3.4m
3% of Prices between:
3.4m - 3.6m
1% of Prices between:
3.6m - 3.8m
1% of Prices between:
3.8m - 4m
3% of Prices between:
4m - 4.2m
~4.1m

Analyse direct flights between Jakarta and Bangkok.

Analyse prices for

Popular cities to analyse