Yvo and utiketPhilippines

Utiket Flight Analytics para sa Flight Garuda Indonesia GA646.
sa pagitan Jakarta at Ambon.

Ano ang pinakamagandang buwan na dumating?

April

Ang pinakamagandang buwan para lumipad gamit ang Flight GA646 ay April at ang pinakamahal na buwan para lumipad ay November. (Average na mga presyo, batay sa 2070 datapoints.)

Jan
JanuariPHP 11.907
Feb
FebruariPHP 12.135
Mac
MacPHP 11.417
Apr
AprilPHP 10.810
Mei
MeiPHP 11.692
Jun
JunPHP 11.180
Jul
JulaiPHP 12.021
Ogo
OgosPHP 11.657
Sep
SeptemberPHP 11.503
Okt
OktoberPHP 12.052
Nov
NovemberPHP 14.533
Dis
DisemberPHP 12.370

Ano ang pinakamurang araw para lumipad?

Khamis

Ang pinakamagandang araw para makarating sa Jakarta ay Khamis at pinakamahusay na iwasan ang Rabu, dahil ang mga presyo ay nasa average na 12.08% na mas mataas kaysa sa Khamis. (Average na mga presyo, batay sa 59228328 datapoints.)

Isn
IsninPHP 12.348
Sel
SelasaPHP 11.640
Rab
RabuPHP 12.383
Kha
KhamisPHP 11.048
Jum
JumaatPHP 11.219
Sab
SabtuPHP 12.104
Ahd
AhadPHP 12.286

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

48 araw

Ang pinakamagandang oras para mag-book ay 48 araw bago ang petsa ng pag-alis. Makakakuha ka, sa average, ang pinakamurang presyo para sa flight GA646. (Average na mga presyo, batay sa 1921 datapoints.)

0 days before departure
PHP 13.941
0
1 days before departure
PHP 15.035
2 days before departure
PHP 13.047
3 days before departure
PHP 11.259
4 days before departure
PHP 11.397
5 days before departure
PHP 11.289
5
6 days before departure
PHP 11.084
7 days before departure
PHP 11.267
8 days before departure
PHP 11.276
9 days before departure
PHP 11.131
10 days before departure
PHP 11.114
10
11 days before departure
PHP 11.679
12 days before departure
PHP 11.070
13 days before departure
PHP 11.331
14 days before departure
PHP 12.098
15 days before departure
PHP 11.112
15
16 days before departure
PHP 11.077
17 days before departure
PHP 11.405
18 days before departure
PHP 11.398
19 days before departure
PHP 11.350
20 days before departure
PHP 11.245
20
21 days before departure
PHP 11.237
22 days before departure
PHP 11.849
23 days before departure
PHP 13.353
24 days before departure
PHP 12.789
25 days before departure
PHP 11.092
25
26 days before departure
PHP 10.923
27 days before departure
PHP 11.173
28 days before departure
PHP 10.036
29 days before departure
PHP 11.598
30 days before departure
PHP 11.777
30
31 days before departure
PHP 11.714
32 days before departure
PHP 13.289
33 days before departure
PHP 13.432
34 days before departure
PHP 11.093
35 days before departure
PHP 11.379
35
36 days before departure
PHP 12.006
37 days before departure
PHP 14.290
38 days before departure
PHP 10.961
39 days before departure
PHP 11.920
40 days before departure
PHP 12.373
40
41 days before departure
PHP 10.627
42 days before departure
PHP 12.060
43 days before departure
PHP 11.771
44 days before departure
PHP 11.719
45 days before departure
PHP 12.267
45
46 days before departure
PHP 12.796
47 days before departure
PHP 13.176
48 days before departure
PHP 9.419
49 days before departure
PHP 11.166
50 days before departure
PHP 11.858
50
51 days before departure
PHP 12.163
52 days before departure
PHP 11.175
53 days before departure
PHP 11.320
55 days before departure
PHP 12.363
56 days before departure
PHP 12.399
56
57 days before departure
PHP 11.360
58 days before departure
PHP 11.826
59 days before departure
PHP 44.434
60 days before departure
PHP 12.365
61 days before departure
PHP 13.797
61

Pamamahagi ng presyo ng FlightGA646

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 2052 datapoints.)

1% of Prices between:
1.4m - 1.7m
~1.5m
4% of Prices between:
2.1m - 2.4m
~2.2m
11% of Prices between:
2.4m - 2.8m
~2.6m
20% of Prices between:
2.8m - 3.1m
~2.9m
41% of Prices between:
3.1m - 3.4m
~3.3m
13% of Prices between:
3.4m - 3.8m
~3.6m
8% of Prices between:
3.8m - 4.1m
~4m
1% of Prices between:
4.1m - 4.5m
~4.3m

Analytics ang mga direktang flight sa pagitan Jakarta at Ambon.

Analytics ang mga presyo para sa

Mga sikat na lungsod upang analyse