Yvo and utiketPhilippines

Utiket Flight Analytics para sa Flight Garuda Indonesia GA106.
sa pagitan Jakarta at Palembang.

Ano ang pinakamagandang buwan na dumating?

Februari

Ang pinakamagandang buwan para lumipad gamit ang Flight GA106 ay Februari at ang pinakamahal na buwan para lumipad ay Julai. (Average na mga presyo, batay sa 1045 datapoints.)

JanuariPHP 2.405
Jan
FebruariPHP 1.946
Feb
MacPHP 2.213
Mac
AprilPHP 2.667
Apr
MeiPHP 2.250
Mei
JunPHP 2.951
Jun
JulaiPHP 4.025
Jul
OgosPHP 2.505
Ogo
SeptemberPHP 2.740
Sep
OktoberPHP 2.614
Okt
NovemberPHP 3.026
Nov
DisemberPHP 2.688
Dis

Ano ang pinakamurang araw para lumipad?

Isnin

Ang pinakamagandang araw para makarating sa Jakarta ay Isnin at pinakamahusay na iwasan ang Sabtu, dahil ang mga presyo ay nasa average na 32.71% na mas mataas kaysa sa Isnin. (Average na mga presyo, batay sa 158039551 datapoints.)

IsninPHP 4.067
Isn
SelasaPHP 4.122
Sel
RabuPHP 4.931
Rab
KhamisPHP 5.096
Kha
JumaatPHP 4.471
Jum
SabtuPHP 5.397
Sab
AhadPHP 4.443
Ahd

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

52 araw

Ang pinakamagandang oras para mag-book ay 52 araw bago ang petsa ng pag-alis. Makakakuha ka, sa average, ang pinakamurang presyo para sa flight GA106. (Average na mga presyo, batay sa 1388 datapoints.)

0 days before departure
PHP 7.242
0
1 days before departure
PHP 5.992
2 days before departure
PHP 5.078
3 days before departure
PHP 3.815
4 days before departure
PHP 4.728
5 days before departure
PHP 3.932
5
6 days before departure
PHP 4.119
7 days before departure
PHP 3.585
8 days before departure
PHP 4.207
9 days before departure
PHP 3.794
10 days before departure
PHP 5.007
10
11 days before departure
PHP 3.526
12 days before departure
PHP 5.584
13 days before departure
PHP 4.259
14 days before departure
PHP 4.706
15 days before departure
PHP 6.346
15
16 days before departure
PHP 6.095
17 days before departure
PHP 4.727
18 days before departure
PHP 3.524
19 days before departure
PHP 4.329
20 days before departure
PHP 4.843
20
21 days before departure
PHP 6.369
22 days before departure
PHP 3.465
23 days before departure
PHP 7.499
24 days before departure
PHP 8.809
25 days before departure
PHP 5.537
25
26 days before departure
PHP 3.475
27 days before departure
PHP 5.040
28 days before departure
PHP 4.996
29 days before departure
PHP 4.567
30 days before departure
PHP 3.902
30
31 days before departure
PHP 3.437
32 days before departure
PHP 3.902
33 days before departure
PHP 3.733
34 days before departure
PHP 3.579
35 days before departure
PHP 3.747
35
36 days before departure
PHP 5.968
37 days before departure
PHP 6.913
38 days before departure
PHP 5.489
39 days before departure
PHP 7.918
40 days before departure
PHP 3.586
40
43 days before departure
PHP 4.198
44 days before departure
PHP 10.176
45 days before departure
PHP 3.620
46 days before departure
PHP 3.512
47 days before departure
PHP 3.396
47
48 days before departure
PHP 3.550
49 days before departure
PHP 3.496
50 days before departure
PHP 3.889
51 days before departure
PHP 3.574
52 days before departure
PHP 3.275
52
53 days before departure
PHP 5.253
57 days before departure
PHP 3.500
58 days before departure
PHP 3.654
59 days before departure
PHP 4.303
60 days before departure
PHP 3.737
60
61 days before departure
PHP 8.110
63 days before departure
PHP 3.460
64 days before departure
PHP 3.880
66 days before departure
PHP 3.793
67 days before departure
PHP 3.849
67

Pamamahagi ng presyo ng FlightGA106

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 1460 datapoints.)

2% of Prices between:
352k - 703k
~527k
62% of Prices between:
703k - 1.1m
~879k
25% of Prices between:
1.1m - 1.4m
~1.2m
1% of Prices between:
1.4m - 1.8m
~1.6m
2% of Prices between:
1.8m - 2.1m
~1.9m
1% of Prices between:
2.1m - 2.5m
~2.3m
1% of Prices between:
2.8m - 3.2m
~3m
2% of Prices between:
3.2m - 3.5m
~3.3m
1% of Prices between:
3.5m - 3.9m
~3.7m

Analytics ang mga direktang flight sa pagitan Jakarta at Palembang.

Analytics ang mga presyo para sa

Mga sikat na lungsod upang analyse