Yvo and utiketPhilippines

Utiket Flight Analytics para sa Flight Batik Air ID6050.
sa pagitan Jakarta at Denpasar Bali.

Ano ang pinakamagandang buwan na dumating?

September

Ang pinakamagandang buwan para lumipad gamit ang Flight ID6050 ay September at ang pinakamahal na buwan para lumipad ay Jun. (Average na mga presyo, batay sa 7111 datapoints.)

JanuariPHP 4.614
Jan
FebruariPHP 4.517
Feb
MacPHP 4.337
Mac
AprilPHP 4.883
Apr
MeiPHP 5.072
Mei
JunPHP 5.500
Jun
JulaiPHP 4.712
Jul
OgosPHP 4.307
Ogo
SeptemberPHP 3.806
Sep
OktoberPHP 4.399
Okt
NovemberPHP 4.141
Nov
DisemberPHP 4.922
Dis

Ano ang pinakamurang araw para lumipad?

Selasa

Ang pinakamagandang araw para makarating sa Jakarta ay Selasa at pinakamahusay na iwasan ang Khamis, dahil ang mga presyo ay nasa average na 25.19% na mas mataas kaysa sa Selasa. (Average na mga presyo, batay sa 1531000169 datapoints.)

IsninPHP 4.383
Isn
SelasaPHP 4.065
Sel
RabuPHP 4.644
Rab
KhamisPHP 5.089
Kha
JumaatPHP 5.037
Jum
SabtuPHP 4.691
Sab
AhadPHP 4.233
Ahd

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 ID6050. (Average na mga presyo, batay sa 6276 datapoints.)

0 days before departure
PHP 6.630
0
1 days before departure
PHP 6.458
2 days before departure
PHP 5.083
3 days before departure
PHP 4.679
4 days before departure
PHP 4.604
5 days before departure
PHP 4.294
5
6 days before departure
PHP 4.034
7 days before departure
PHP 4.020
8 days before departure
PHP 4.236
9 days before departure
PHP 3.858
10 days before departure
PHP 4.198
10
11 days before departure
PHP 4.073
12 days before departure
PHP 4.202
13 days before departure
PHP 4.469
14 days before departure
PHP 4.073
15 days before departure
PHP 4.201
15
16 days before departure
PHP 4.160
17 days before departure
PHP 4.514
18 days before departure
PHP 3.930
19 days before departure
PHP 4.423
20 days before departure
PHP 4.090
20
21 days before departure
PHP 4.292
22 days before departure
PHP 4.093
23 days before departure
PHP 4.518
24 days before departure
PHP 4.306
25 days before departure
PHP 4.040
25
26 days before departure
PHP 4.224
27 days before departure
PHP 4.003
28 days before departure
PHP 4.372
29 days before departure
PHP 4.073
30 days before departure
PHP 4.263
30
31 days before departure
PHP 4.312
32 days before departure
PHP 4.253
33 days before departure
PHP 4.503
34 days before departure
PHP 4.478
35 days before departure
PHP 4.331
35
36 days before departure
PHP 4.189
37 days before departure
PHP 3.859
38 days before departure
PHP 4.396
39 days before departure
PHP 4.399
40 days before departure
PHP 3.890
40
41 days before departure
PHP 4.113
42 days before departure
PHP 3.955
43 days before departure
PHP 4.985
44 days before departure
PHP 4.001
45 days before departure
PHP 4.164
45
46 days before departure
PHP 4.232
47 days before departure
PHP 4.162
48 days before departure
PHP 3.617
49 days before departure
PHP 4.426
50 days before departure
PHP 4.122
50
51 days before departure
PHP 3.913
52 days before departure
PHP 4.331
53 days before departure
PHP 3.978
54 days before departure
PHP 4.395
55 days before departure
PHP 4.196
55
56 days before departure
PHP 3.866
57 days before departure
PHP 4.093
58 days before departure
PHP 3.905
59 days before departure
PHP 4.412
60 days before departure
PHP 4.511
60

Pamamahagi ng presyo ng FlightID6050

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 4877 datapoints.)

4% of Prices between:
455k - 607k
~531k
12% of Prices between:
607k - 758k
~683k
17% of Prices between:
758k - 910k
~834k
13% of Prices between:
910k - 1.1m
~986k
19% of Prices between:
1.1m - 1.2m
~1.1m
11% of Prices between:
1.2m - 1.4m
~1.3m
7% of Prices between:
1.4m - 1.5m
~1.4m
5% of Prices between:
1.5m - 1.7m
~1.6m
5% of Prices between:
1.7m - 1.8m
~1.7m
4% of Prices between:
1.8m - 2m
~1.9m

Analytics ang mga direktang flight sa pagitan Jakarta at Denpasar Bali.

Analytics ang mga presyo para sa

Mga sikat na lungsod upang analyse