Yvo and utiketPhilippines
Numero ng flight:

Utiket Flight Analytics para sa Flight Batik Air ID7511.
sa pagitan Jakarta at Surabaya.

Ano ang pinakamagandang buwan na dumating?

Februari

Ang pinakamagandang buwan para lumipad gamit ang Flight ID7511 ay Februari at ang pinakamahal na buwan para lumipad ay Julai. (Average na mga presyo, batay sa 2315 datapoints.)

JanuariPHP 4.154
Jan
FebruariPHP 4.140
Feb
MacPHP 4.187
Mac
AprilPHP 6.512
Apr
MeiPHP 4.942
Mei
JunPHP 7.042
Jun
JulaiPHP 7.346
Jul
OgosPHP 6.220
Ogo
SeptemberPHP 5.236
Sep
OktoberPHP 5.723
Okt
NovemberPHP 4.740
Nov
DisemberPHP 5.590
Dis

Ano ang pinakamurang araw para lumipad?

Ahad

Ang pinakamagandang araw para makarating sa Jakarta ay Ahad at pinakamahusay na iwasan ang Isnin, dahil ang mga presyo ay nasa average na 16.02% na mas mataas kaysa sa Ahad. (Average na mga presyo, batay sa 270334339 datapoints.)

IsninPHP 4.469
Isn
SelasaPHP 4.083
Sel
RabuPHP 4.252
Rab
KhamisPHP 4.392
Kha
JumaatPHP 4.190
Jum
SabtuPHP 4.286
Sab
AhadPHP 3.852
Ahd

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

37 araw

Ang pinakamagandang oras para mag-book ay 37 araw bago ang petsa ng pag-alis. Makakakuha ka, sa average, ang pinakamurang presyo para sa flight ID7511. (Average na mga presyo, batay sa 6640 datapoints.)

0 days before departure
PHP 6.905
0
1 days before departure
PHP 5.411
2 days before departure
PHP 4.441
3 days before departure
PHP 4.281
4 days before departure
PHP 3.821
5 days before departure
PHP 3.918
5
6 days before departure
PHP 3.913
7 days before departure
PHP 3.772
8 days before departure
PHP 3.685
9 days before departure
PHP 3.919
10 days before departure
PHP 4.102
10
11 days before departure
PHP 3.909
12 days before departure
PHP 4.248
13 days before departure
PHP 4.045
14 days before departure
PHP 4.031
15 days before departure
PHP 4.133
15
16 days before departure
PHP 3.966
17 days before departure
PHP 4.052
18 days before departure
PHP 4.165
19 days before departure
PHP 4.177
20 days before departure
PHP 4.095
20
21 days before departure
PHP 4.278
22 days before departure
PHP 4.226
23 days before departure
PHP 3.798
24 days before departure
PHP 4.194
25 days before departure
PHP 4.229
25
26 days before departure
PHP 4.417
27 days before departure
PHP 4.200
28 days before departure
PHP 4.241
29 days before departure
PHP 3.780
30 days before departure
PHP 3.994
30
31 days before departure
PHP 4.022
32 days before departure
PHP 3.744
33 days before departure
PHP 4.004
34 days before departure
PHP 4.060
35 days before departure
PHP 4.374
35
36 days before departure
PHP 4.352
37 days before departure
PHP 3.439
38 days before departure
PHP 4.031
39 days before departure
PHP 3.804
40 days before departure
PHP 3.946
40
41 days before departure
PHP 3.966
42 days before departure
PHP 4.067
43 days before departure
PHP 4.100
44 days before departure
PHP 4.094
45 days before departure
PHP 4.154
45
46 days before departure
PHP 4.769
47 days before departure
PHP 4.662
48 days before departure
PHP 4.765
49 days before departure
PHP 4.047
50 days before departure
PHP 4.364
50
51 days before departure
PHP 4.500
52 days before departure
PHP 4.153
53 days before departure
PHP 4.735
54 days before departure
PHP 4.996
55 days before departure
PHP 4.391
55
56 days before departure
PHP 4.403
57 days before departure
PHP 5.005
58 days before departure
PHP 4.381
59 days before departure
PHP 4.346
60 days before departure
PHP 4.428
60

Pamamahagi ng presyo ng FlightID7511

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 4984 datapoints.)

15% of Prices between:
464k - 580k
~522k
6% of Prices between:
580k - 696k
~638k
5% of Prices between:
696k - 812k
~754k
4% of Prices between:
812k - 928k
~870k
12% of Prices between:
928k - 1m
~986k
11% of Prices between:
1m - 1.2m
~1.1m
23% of Prices between:
1.2m - 1.3m
~1.2m
17% of Prices between:
1.3m - 1.4m
~1.3m
3% of Prices between:
1.4m - 1.5m
~1.4m
3% of Prices between:
1.5m - 1.6m
~1.6m

Analytics ang mga direktang flight sa pagitan Jakarta at Surabaya.

Analytics ang mga presyo para sa

Mga sikat na lungsod upang analyse