Yvo and utiketPhilippines

Utiket Flight Analytics para sa Flight Lion Air JT222.
sa pagitan Surabaya at Banjarmasin.

Ano ang pinakamagandang buwan na dumating?

Mac

Ang pinakamagandang buwan para lumipad gamit ang Flight JT222 ay Mac at ang pinakamahal na buwan para lumipad ay Mei. (Average na mga presyo, batay sa 3847 datapoints.)

Jan
JanuariPHP 3.406
Feb
FebruariPHP 3.120
Mac
MacPHP 2.846
Apr
AprilPHP 3.437
Mei
MeiPHP 3.556
Jun
JunPHP 3.418
Jul
JulaiPHP 3.249
Ogo
OgosPHP 2.998
Sep
SeptemberPHP 3.124
Okt
OktoberPHP 3.412
Nov
NovemberPHP 3.221
Dis
DisemberPHP 3.444

Ano ang pinakamurang araw para lumipad?

Khamis

Ang pinakamagandang araw para makarating sa Surabaya ay Khamis at pinakamahusay na iwasan ang Ahad, dahil ang mga presyo ay nasa average na 4.23% na mas mataas kaysa sa Khamis. (Average na mga presyo, batay sa 125997053 datapoints.)

Isn
IsninPHP 2.786
Sel
SelasaPHP 2.750
Rab
RabuPHP 2.772
Kha
KhamisPHP 2.727
Jum
JumaatPHP 2.733
Sab
SabtuPHP 2.764
Ahd
AhadPHP 2.842

Ilang araw bago ang pag-alis dapat akong mag-book?

43 araw

Ang pinakamagandang oras para mag-book ay 43 araw bago ang petsa ng pag-alis. Makakakuha ka, sa average, ang pinakamurang presyo para sa flight JT222. (Average na mga presyo, batay sa 3277 datapoints.)

0 days before departure
PHP 2.874
0
1 days before departure
PHP 2.802
2 days before departure
PHP 2.713
3 days before departure
PHP 2.800
4 days before departure
PHP 2.969
5 days before departure
PHP 2.826
5
6 days before departure
PHP 2.809
7 days before departure
PHP 2.605
8 days before departure
PHP 2.705
9 days before departure
PHP 2.780
10 days before departure
PHP 2.727
10
11 days before departure
PHP 2.650
12 days before departure
PHP 2.727
13 days before departure
PHP 2.677
14 days before departure
PHP 2.733
15 days before departure
PHP 2.694
15
16 days before departure
PHP 2.753
17 days before departure
PHP 2.948
18 days before departure
PHP 2.992
19 days before departure
PHP 2.880
20 days before departure
PHP 2.717
20
21 days before departure
PHP 2.992
22 days before departure
PHP 2.694
23 days before departure
PHP 3.007
24 days before departure
PHP 2.955
25 days before departure
PHP 3.425
25
26 days before departure
PHP 2.751
27 days before departure
PHP 2.973
28 days before departure
PHP 3.107
29 days before departure
PHP 2.274
30 days before departure
PHP 2.902
30
31 days before departure
PHP 2.822
32 days before departure
PHP 2.732
33 days before departure
PHP 2.576
34 days before departure
PHP 3.143
35 days before departure
PHP 3.158
35
36 days before departure
PHP 3.135
37 days before departure
PHP 1.980
38 days before departure
PHP 2.065
39 days before departure
PHP 2.578
40 days before departure
PHP 3.455
40
41 days before departure
PHP 2.387
42 days before departure
PHP 3.255
43 days before departure
PHP 1.872
44 days before departure
PHP 3.231
45 days before departure
PHP 2.929
45
46 days before departure
PHP 3.201
47 days before departure
PHP 2.326
48 days before departure
PHP 2.061
50 days before departure
PHP 2.389
51 days before departure
PHP 3.351
51
52 days before departure
PHP 2.807
53 days before departure
PHP 3.445
54 days before departure
PHP 2.753
55 days before departure
PHP 2.573
57 days before departure
PHP 3.598
57
58 days before departure
PHP 2.500
59 days before departure
PHP 3.458
60 days before departure
PHP 2.843
61 days before departure
PHP 2.360
62 days before departure
PHP 2.922
62

Pamamahagi ng presyo ng FlightJT222

Ipinapakita ng graph na ito ang distribusyon ng mga presyong natagpuan sa mga nakaraang taon para sa flight na ito. (Average na mga presyo, batay sa 3445 datapoints.)

1% of Prices between:
288k - 384k
~336k
10% of Prices between:
384k - 481k
~432k
15% of Prices between:
481k - 577k
~529k
11% of Prices between:
577k - 673k
~625k
10% of Prices between:
673k - 769k
~721k
18% of Prices between:
769k - 865k
~817k
16% of Prices between:
865k - 961k
~913k
8% of Prices between:
961k - 1.1m
~1m
5% of Prices between:
1.1m - 1.2m
~1.1m
5% of Prices between:
1.2m - 1.2m
~1.2m

Analytics ang mga direktang flight sa pagitan Surabaya at Banjarmasin.

Analytics ang mga presyo para sa

Mga sikat na lungsod upang analyse