Yvo and utiketPhilippines

Utiket Flight Analytics para sa Flight Garuda Indonesia GA148.
sa pagitan Jakarta at Padang.

Ano ang pinakamagandang buwan na dumating?

Ogos

Ang pinakamagandang buwan para lumipad gamit ang Flight GA148 ay Ogos at ang pinakamahal na buwan para lumipad ay April. (Average na mga presyo, batay sa 2259 datapoints.)

Jan
JanuariPHP 4.178
Feb
FebruariPHP 4.117
Mac
MacPHP 4.686
Apr
AprilPHP 4.752
Mei
MeiPHP 4.124
Jun
JunPHP 4.458
Jul
JulaiPHP 4.114
Ogo
OgosPHP 3.943
Sep
SeptemberPHP 3.947
Okt
OktoberPHP 3.989
Nov
NovemberPHP 4.315
Dis
DisemberPHP 4.587

Ano ang pinakamurang araw para lumipad?

Selasa

Ang pinakamagandang araw para makarating sa Jakarta ay Selasa at pinakamahusay na iwasan ang Isnin, dahil ang mga presyo ay nasa average na 9.01% na mas mataas kaysa sa Selasa. (Average na mga presyo, batay sa 309154415 datapoints.)

Isn
IsninPHP 7.750
Sel
SelasaPHP 7.109
Rab
RabuPHP 7.319
Kha
KhamisPHP 7.399
Jum
JumaatPHP 7.332
Sab
SabtuPHP 7.439
Ahd
AhadPHP 7.329

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

54 araw

Ang pinakamagandang oras para mag-book ay 54 araw bago ang petsa ng pag-alis. Makakakuha ka, sa average, ang pinakamurang presyo para sa flight GA148. (Average na mga presyo, batay sa 7497 datapoints.)

0 days before departure
PHP 7.611
0
1 days before departure
PHP 8.027
2 days before departure
PHP 7.787
3 days before departure
PHP 7.912
4 days before departure
PHP 6.980
5 days before departure
PHP 7.207
5
6 days before departure
PHP 7.261
7 days before departure
PHP 6.366
8 days before departure
PHP 7.313
9 days before departure
PHP 7.106
10 days before departure
PHP 8.279
10
11 days before departure
PHP 7.633
12 days before departure
PHP 7.242
13 days before departure
PHP 8.349
14 days before departure
PHP 7.402
15 days before departure
PHP 7.379
15
16 days before departure
PHP 9.091
17 days before departure
PHP 8.050
18 days before departure
PHP 8.687
19 days before departure
PHP 8.829
20 days before departure
PHP 7.936
20
21 days before departure
PHP 9.170
22 days before departure
PHP 7.300
23 days before departure
PHP 8.214
24 days before departure
PHP 7.196
25 days before departure
PHP 9.547
25
26 days before departure
PHP 8.603
27 days before departure
PHP 7.515
28 days before departure
PHP 6.894
29 days before departure
PHP 8.938
30 days before departure
PHP 7.462
30
31 days before departure
PHP 8.651
32 days before departure
PHP 7.931
33 days before departure
PHP 7.804
34 days before departure
PHP 7.797
35 days before departure
PHP 7.520
35
36 days before departure
PHP 7.297
37 days before departure
PHP 8.141
38 days before departure
PHP 8.058
39 days before departure
PHP 8.727
40 days before departure
PHP 6.590
40
41 days before departure
PHP 7.312
42 days before departure
PHP 6.769
43 days before departure
PHP 6.194
44 days before departure
PHP 6.431
45 days before departure
PHP 6.359
45
46 days before departure
PHP 6.343
47 days before departure
PHP 6.033
48 days before departure
PHP 6.356
49 days before departure
PHP 7.020
50 days before departure
PHP 7.456
50
51 days before departure
PHP 7.190
52 days before departure
PHP 6.251
53 days before departure
PHP 6.812
54 days before departure
PHP 5.936
55 days before departure
PHP 5.963
55
56 days before departure
PHP 7.419
57 days before departure
PHP 6.077
58 days before departure
PHP 11.732
59 days before departure
PHP 7.867
60 days before departure
PHP 7.741
60

Pamamahagi ng presyo ng FlightGA148

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 4992 datapoints.)

3% of Prices between:
755k - 1.1m
~944k
18% of Prices between:
1.1m - 1.5m
~1.3m
64% of Prices between:
1.5m - 1.9m
~1.7m
7% of Prices between:
1.9m - 2.3m
~2.1m
1% of Prices between:
2.3m - 2.6m
~2.5m
1% of Prices between:
3m - 3.4m
~3.2m
1% of Prices between:
3.4m - 3.8m
~3.6m
1% of Prices between:
3.8m - 4.2m
~4m
1% of Prices between:
4.5m - 4.9m
~4.7m
1% of Prices between:
4.9m - 5.3m
~5.1m

Analytics ang mga direktang flight sa pagitan Jakarta at Padang.

Analytics ang mga presyo para sa

Mga sikat na lungsod upang analyse