Yvo and utiketPhilippines

Utiket Flight Analytics para sa Flight Philippines AirAsia Z2608.
sa pagitan Bacolod at Manila.

Ano ang pinakamagandang buwan na dumating?

Mac

Ang pinakamagandang buwan para lumipad gamit ang Flight Z2608 ay Mac at ang pinakamahal na buwan para lumipad ay Januari. (Average na mga presyo, batay sa 1386 datapoints.)

Jan
JanuariAUD 125
Feb
FebruariAUD 71
Mac
MacAUD 63
Apr
AprilAUD 78
Mei
MeiAUD 70
Jun
JunAUD 80
Jul
JulaiAUD 99
Ogo
OgosAUD 89
Sep
SeptemberAUD 65
Okt
OktoberAUD 81
Nov
NovemberAUD 94
Dis
DisemberAUD 70

Ano ang pinakamurang araw para lumipad?

Selasa

Ang pinakamagandang araw para makarating sa Bacolod ay Selasa at pinakamahusay na iwasan ang Ahad, dahil ang mga presyo ay nasa average na 13.5% na mas mataas kaysa sa Selasa. (Average na mga presyo, batay sa 52368296 datapoints.)

Isn
IsninAUD 66
Sel
SelasaAUD 58
Rab
RabuAUD 60
Kha
KhamisAUD 62
Jum
JumaatAUD 61
Sab
SabtuAUD 60
Ahd
AhadAUD 66

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

35 araw

Ang pinakamagandang oras para mag-book ay 35 araw bago ang petsa ng pag-alis. Makakakuha ka, sa average, ang pinakamurang presyo para sa flight Z2608. (Average na mga presyo, batay sa 1135 datapoints.)

0 days before departure
AUD 100
0
1 days before departure
AUD 104
2 days before departure
AUD 88
3 days before departure
AUD 77
4 days before departure
AUD 72
5 days before departure
AUD 68
5
6 days before departure
AUD 70
7 days before departure
AUD 58
8 days before departure
AUD 56
9 days before departure
AUD 63
10 days before departure
AUD 57
10
11 days before departure
AUD 50
12 days before departure
AUD 53
13 days before departure
AUD 47
14 days before departure
AUD 49
15 days before departure
AUD 50
15
16 days before departure
AUD 45
17 days before departure
AUD 49
18 days before departure
AUD 41
19 days before departure
AUD 38
20 days before departure
AUD 39
20
21 days before departure
AUD 39
22 days before departure
AUD 43
23 days before departure
AUD 41
24 days before departure
AUD 41
25 days before departure
AUD 49
25
26 days before departure
AUD 61
27 days before departure
AUD 43
28 days before departure
AUD 42
29 days before departure
AUD 81
30 days before departure
AUD 41
30
31 days before departure
AUD 41
32 days before departure
AUD 34
33 days before departure
AUD 39
34 days before departure
AUD 63
35 days before departure
AUD 20
35
36 days before departure
AUD 35
37 days before departure
AUD 42
38 days before departure
AUD 89
39 days before departure
AUD 28
40 days before departure
AUD 41
40
41 days before departure
AUD 55
42 days before departure
AUD 35
43 days before departure
AUD 78
44 days before departure
AUD 43
45 days before departure
AUD 55
45
46 days before departure
AUD 20
47 days before departure
AUD 205
48 days before departure
AUD 40
49 days before departure
AUD 40
50 days before departure
AUD 34
50
51 days before departure
AUD 28
53 days before departure
AUD 83
54 days before departure
AUD 27
55 days before departure
AUD 20
56 days before departure
AUD 26
56
57 days before departure
AUD 31
58 days before departure
AUD 118
59 days before departure
AUD 33
60 days before departure
AUD 34
61 days before departure
AUD 35
61

Pamamahagi ng presyo ng FlightZ2608

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 1202 datapoints.)

6% of Prices between:
257k - 343k
12% of Prices between:
343k - 428k
13% of Prices between:
428k - 514k
13% of Prices between:
514k - 600k
10% of Prices between:
600k - 685k
~643k
9% of Prices between:
685k - 771k
9% of Prices between:
771k - 857k
7% of Prices between:
857k - 942k
4% of Prices between:
942k - 1m
3% of Prices between:
1m - 1.1m
~1.1m
2% of Prices between:
1.1m - 1.2m
2% of Prices between:
1.2m - 1.3m
2% of Prices between:
1.3m - 1.4m
2% of Prices between:
1.4m - 1.5m
1% of Prices between:
1.5m - 1.5m
~1.5m
1% of Prices between:
1.6m - 1.7m
1% of Prices between:
1.7m - 1.8m
1% of Prices between:
1.8m - 1.9m

Analytics ang mga direktang flight sa pagitan Bacolod at Manila.

Analytics ang mga presyo para sa

Mga sikat na lungsod upang analyse