Yvo and utiketUnited States

Utiket Flight Analytics for Flight Lion Air JT31.
Between Denpasar Bali and Jakarta.

What is the best month to arrive?

March

The best month to fly with Flight JT31 is March and the most expensive month to fly is January. (Average prices, based on 6841 datapoints.)

Jan
JanuaryPHP 6.392
Feb
FebruaryPHP 4.536
Mar
MarchPHP 4.238
Apr
AprilPHP 4.365
May
MayPHP 5.909
Jun
JunePHP 5.858
Jul
JulyPHP 6.086
Aug
AugustPHP 5.643
Sep
SeptemberPHP 4.584
Oct
OctoberPHP 4.409
Nov
NovemberPHP 4.960
Dec
DecemberPHP 4.945

What is the cheapest day to fly?

Wednesday

The best day to arrive at Denpasar Bali is Wednesday and it would be best to avoid Sunday, as prices are on average 28.82% higher than on Wednesday. (Average prices, based on 835554505 datapoints.)

Mon
MondayPHP 3.242
Tue
TuesdayPHP 3.266
Wed
WednesdayPHP 3.031
Thu
ThursdayPHP 3.034
Fri
FridayPHP 3.071
Sat
SaturdayPHP 3.252
Sun
SundayPHP 3.904

How many days before departure should I book?

51 days

The best time to book is 51 days before the departure date. You will get, on average, the cheapest price for flight JT31. (Average prices, based on 4814 datapoints.)

0 days before departure
PHP 3.620
0
1 days before departure
PHP 3.772
2 days before departure
PHP 3.279
3 days before departure
PHP 3.213
4 days before departure
PHP 3.372
5 days before departure
PHP 3.370
5
6 days before departure
PHP 3.068
7 days before departure
PHP 2.950
8 days before departure
PHP 2.927
9 days before departure
PHP 3.087
10 days before departure
PHP 3.211
10
11 days before departure
PHP 3.384
12 days before departure
PHP 3.154
13 days before departure
PHP 4.226
14 days before departure
PHP 3.037
15 days before departure
PHP 3.313
15
16 days before departure
PHP 3.246
17 days before departure
PHP 3.179
18 days before departure
PHP 3.410
19 days before departure
PHP 3.089
20 days before departure
PHP 3.536
20
21 days before departure
PHP 3.339
22 days before departure
PHP 3.210
23 days before departure
PHP 3.471
24 days before departure
PHP 3.442
25 days before departure
PHP 3.531
25
26 days before departure
PHP 3.707
27 days before departure
PHP 3.512
28 days before departure
PHP 3.347
29 days before departure
PHP 3.405
30 days before departure
PHP 2.889
30
31 days before departure
PHP 3.003
32 days before departure
PHP 3.268
33 days before departure
PHP 3.537
34 days before departure
PHP 3.372
35 days before departure
PHP 3.386
35
36 days before departure
PHP 3.272
37 days before departure
PHP 3.970
38 days before departure
PHP 3.429
39 days before departure
PHP 3.403
40 days before departure
PHP 3.329
40
41 days before departure
PHP 3.207
42 days before departure
PHP 3.469
43 days before departure
PHP 3.994
44 days before departure
PHP 3.147
45 days before departure
PHP 3.425
45
46 days before departure
PHP 3.130
47 days before departure
PHP 3.239
48 days before departure
PHP 3.453
49 days before departure
PHP 3.048
50 days before departure
PHP 3.520
50
51 days before departure
PHP 2.637
52 days before departure
PHP 3.673
53 days before departure
PHP 3.615
54 days before departure
PHP 3.322
56 days before departure
PHP 3.175
56
57 days before departure
PHP 3.443
58 days before departure
PHP 3.871
59 days before departure
PHP 3.423
60 days before departure
PHP 3.820
61 days before departure
PHP 3.278
61

Price distribution of Flight JT31

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 4986 datapoints.)

1% of Prices between:
315k - 421k
~368k
3% of Prices between:
421k - 526k
~473k
18% of Prices between:
526k - 631k
~578k
14% of Prices between:
631k - 736k
~684k
8% of Prices between:
736k - 841k
~789k
20% of Prices between:
841k - 946k
~894k
11% of Prices between:
946k - 1.1m
~999k
8% of Prices between:
1.1m - 1.2m
~1.1m
8% of Prices between:
1.2m - 1.3m
~1.2m
2% of Prices between:
1.3m - 1.4m
~1.3m
4% of Prices between:
1.4m - 1.5m
~1.4m
1% of Prices between:
1.5m - 1.6m
~1.5m
1% of Prices between:
1.6m - 1.7m
~1.6m

Analyse direct flights between Denpasar Bali and Jakarta.

Analyse prices for

Popular cities to analyse