Yvo and utiketPhilippines

Utiket Flight Analytics para sa Flight Batik Air ID6406.
sa pagitan Jakarta at Surabaya.

Ano ang pinakamagandang buwan na dumating?

Mac

Ang pinakamagandang buwan para lumipad gamit ang Flight ID6406 ay Mac at ang pinakamahal na buwan para lumipad ay April. (Average na mga presyo, batay sa 3529 datapoints.)

JanuariPHP 4.059
Jan
FebruariPHP 3.920
Feb
MacPHP 3.635
Mac
AprilPHP 5.624
Apr
MeiPHP 4.868
Mei
JunPHP 5.145
Jun
JulaiPHP 5.037
Jul
OgosPHP 4.944
Ogo
SeptemberPHP 4.446
Sep
OktoberPHP 3.929
Okt
NovemberPHP 4.312
Nov
DisemberPHP 4.781
Dis

Ano ang pinakamurang araw para lumipad?

Selasa

Ang pinakamagandang araw para makarating sa Jakarta ay Selasa at pinakamahusay na iwasan ang Jumaat, dahil ang mga presyo ay nasa average na 9.53% na mas mataas kaysa sa Selasa. (Average na mga presyo, batay sa 1041962984 datapoints.)

IsninPHP 3.641
Isn
SelasaPHP 3.578
Sel
RabuPHP 3.782
Rab
KhamisPHP 3.905
Kha
JumaatPHP 3.919
Jum
SabtuPHP 3.807
Sab
AhadPHP 3.689
Ahd

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

49 araw

Ang pinakamagandang oras para mag-book ay 49 araw bago ang petsa ng pag-alis. Makakakuha ka, sa average, ang pinakamurang presyo para sa flight ID6406. (Average na mga presyo, batay sa 7802 datapoints.)

0 days before departure
PHP 5.450
0
1 days before departure
PHP 4.136
2 days before departure
PHP 3.894
3 days before departure
PHP 3.761
4 days before departure
PHP 3.616
5 days before departure
PHP 3.586
5
6 days before departure
PHP 3.618
7 days before departure
PHP 3.476
8 days before departure
PHP 3.414
9 days before departure
PHP 3.437
10 days before departure
PHP 3.632
10
11 days before departure
PHP 3.405
12 days before departure
PHP 3.600
13 days before departure
PHP 3.649
14 days before departure
PHP 3.637
15 days before departure
PHP 3.503
15
16 days before departure
PHP 3.488
17 days before departure
PHP 3.366
18 days before departure
PHP 3.476
19 days before departure
PHP 3.567
20 days before departure
PHP 3.612
20
21 days before departure
PHP 3.668
22 days before departure
PHP 3.740
23 days before departure
PHP 3.414
24 days before departure
PHP 3.527
25 days before departure
PHP 3.695
25
26 days before departure
PHP 3.761
27 days before departure
PHP 3.592
28 days before departure
PHP 3.526
29 days before departure
PHP 3.389
30 days before departure
PHP 3.593
30
31 days before departure
PHP 3.605
32 days before departure
PHP 3.535
33 days before departure
PHP 3.549
34 days before departure
PHP 3.453
35 days before departure
PHP 3.611
35
36 days before departure
PHP 3.590
37 days before departure
PHP 3.499
38 days before departure
PHP 3.588
39 days before departure
PHP 3.536
40 days before departure
PHP 3.448
40
41 days before departure
PHP 3.455
42 days before departure
PHP 3.469
43 days before departure
PHP 3.692
44 days before departure
PHP 4.008
45 days before departure
PHP 3.910
45
46 days before departure
PHP 4.189
47 days before departure
PHP 3.830
48 days before departure
PHP 4.340
49 days before departure
PHP 3.219
50 days before departure
PHP 3.688
50
51 days before departure
PHP 3.983
52 days before departure
PHP 3.527
53 days before departure
PHP 3.891
54 days before departure
PHP 3.495
55 days before departure
PHP 3.785
55
56 days before departure
PHP 4.463
57 days before departure
PHP 4.454
58 days before departure
PHP 3.646
59 days before departure
PHP 3.760
60 days before departure
PHP 4.281
60

Pamamahagi ng presyo ng FlightID6406

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 4884 datapoints.)

7% of Prices between:
457k - 571k
~514k
4% of Prices between:
571k - 686k
~628k
5% of Prices between:
686k - 800k
~743k
12% of Prices between:
800k - 914k
~857k
14% of Prices between:
914k - 1m
~971k
19% of Prices between:
1m - 1.1m
~1.1m
22% of Prices between:
1.1m - 1.3m
~1.2m
9% of Prices between:
1.3m - 1.4m
~1.3m
6% of Prices between:
1.4m - 1.5m
~1.4m
2% of Prices between:
1.5m - 1.6m
~1.5m

Analytics ang mga direktang flight sa pagitan Jakarta at Surabaya.

Analytics ang mga presyo para sa

Mga sikat na lungsod upang analyse