Yvo and utiketPhilippines

Utiket Flight Analytics para sa Flight Garuda Indonesia GA196.
sa pagitan Jakarta at Medan.

Ano ang pinakamagandang buwan na dumating?

Januari

Ang pinakamagandang buwan para lumipad gamit ang Flight GA196 ay Januari at ang pinakamahal na buwan para lumipad ay Mac. (Average na mga presyo, batay sa 12535 datapoints.)

JanuariPHP 3.674
Jan
FebruariPHP 3.913
Feb
MacPHP 4.852
Mac
AprilPHP 4.485
Apr
MeiPHP 4.280
Mei
JunPHP 4.206
Jun
JulaiPHP 4.398
Jul
OgosPHP 4.204
Ogo
SeptemberPHP 4.096
Sep
OktoberPHP 3.926
Okt
NovemberPHP 3.953
Nov
DisemberPHP 4.814
Dis

Ano ang pinakamurang araw para lumipad?

Selasa

Ang pinakamagandang araw para makarating sa Jakarta ay Selasa at pinakamahusay na iwasan ang Ahad, dahil ang mga presyo ay nasa average na 15.7% na mas mataas kaysa sa Selasa. (Average na mga presyo, batay sa 1193224170 datapoints.)

IsninPHP 8.111
Isn
SelasaPHP 7.674
Sel
RabuPHP 8.562
Rab
KhamisPHP 8.294
Kha
JumaatPHP 8.557
Jum
SabtuPHP 8.417
Sab
AhadPHP 8.878
Ahd

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

57 araw

Ang pinakamagandang oras para mag-book ay 57 araw bago ang petsa ng pag-alis. Makakakuha ka, sa average, ang pinakamurang presyo para sa flight GA196. (Average na mga presyo, batay sa 5923 datapoints.)

0 days before departure
PHP 8.955
0
1 days before departure
PHP 9.707
2 days before departure
PHP 9.811
3 days before departure
PHP 9.375
4 days before departure
PHP 9.129
5 days before departure
PHP 9.142
5
6 days before departure
PHP 8.489
7 days before departure
PHP 7.260
8 days before departure
PHP 7.827
9 days before departure
PHP 8.000
10 days before departure
PHP 7.631
10
11 days before departure
PHP 8.430
12 days before departure
PHP 9.523
13 days before departure
PHP 8.385
14 days before departure
PHP 8.765
15 days before departure
PHP 7.660
15
16 days before departure
PHP 7.894
17 days before departure
PHP 7.294
18 days before departure
PHP 7.841
19 days before departure
PHP 7.673
20 days before departure
PHP 6.734
20
21 days before departure
PHP 7.986
22 days before departure
PHP 7.495
23 days before departure
PHP 7.613
24 days before departure
PHP 7.520
25 days before departure
PHP 7.575
25
26 days before departure
PHP 6.878
27 days before departure
PHP 7.330
28 days before departure
PHP 8.000
29 days before departure
PHP 7.375
30 days before departure
PHP 7.447
30
31 days before departure
PHP 8.012
32 days before departure
PHP 7.175
33 days before departure
PHP 7.108
34 days before departure
PHP 7.360
35 days before departure
PHP 7.283
35
36 days before departure
PHP 7.806
37 days before departure
PHP 7.347
38 days before departure
PHP 7.298
39 days before departure
PHP 6.986
40 days before departure
PHP 7.444
40
41 days before departure
PHP 7.002
42 days before departure
PHP 7.468
43 days before departure
PHP 7.021
44 days before departure
PHP 10.592
45 days before departure
PHP 11.743
45
46 days before departure
PHP 7.025
47 days before departure
PHP 10.675
48 days before departure
PHP 7.550
49 days before departure
PHP 8.285
50 days before departure
PHP 7.973
50
51 days before departure
PHP 7.045
52 days before departure
PHP 6.904
53 days before departure
PHP 7.884
54 days before departure
PHP 9.723
55 days before departure
PHP 8.337
55
56 days before departure
PHP 8.093
57 days before departure
PHP 6.651
58 days before departure
PHP 7.476
59 days before departure
PHP 7.172
60 days before departure
PHP 7.709
60

Pamamahagi ng presyo ng FlightGA196

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 4994 datapoints.)

5% of Prices between:
1.1m - 1.7m
~1.4m
68% of Prices between:
1.7m - 2.3m
~2m
18% of Prices between:
2.3m - 2.8m
~2.6m
1% of Prices between:
3.4m - 4m
~3.7m
1% of Prices between:
4m - 4.6m
~4.3m
2% of Prices between:
4.6m - 5.1m
~4.8m
1% of Prices between:
5.1m - 5.7m
~5.4m
1% of Prices between:
5.7m - 6.3m
~6m
1% of Prices between:
6.3m - 6.8m
~6.5m
1% of Prices between:
6.8m - 7.4m
~7.1m

Analytics ang mga direktang flight sa pagitan Jakarta at Medan.

Analytics ang mga presyo para sa

Mga sikat na lungsod upang analyse