Yvo and utiketNederland

Utiket Analyses voor Vlucht Philippines AirAsia Z2329.
Tussen Manilla en Tacloban.

Wat is de beste dag van de week om te vliegen?

Dinsdag

De beste dag is Dinsdag en je kunt het beste Maandag vermijden, aangezien gemiddeld de prijzen dan 12.6% hoger liggen dan op Dinsdag. (Gemiddelde prijzen, gebaseerd op 141561871 datapunten.)

Ma
MaandagPHP 3.431
Di
DinsdagPHP 3.047
Wo
WoensdagPHP 3.051
Do
DonderdagPHP 3.084
Vr
VrijdagPHP 3.302
Za
ZaterdagPHP 3.260
Zo
ZondagPHP 3.332

Hoeveel dagen voor vertrek is het het goedkoopst om te boeken?

47 dagen

Voor vlucht Z2329 is het beste moment om te boeken zo'n 47 dagen voor vertrek, dit zal, gemiddeld gezien, de goedkoopste prijs opleveren. (Gemiddelde prijzen, gebaseerd op 2870 datapunten.)

0 days before departure
PHP 5.473
0
1 days before departure
PHP 5.222
2 days before departure
PHP 4.881
3 days before departure
PHP 4.863
4 days before departure
PHP 4.064
5 days before departure
PHP 4.038
5
6 days before departure
PHP 4.213
7 days before departure
PHP 3.365
8 days before departure
PHP 3.824
9 days before departure
PHP 3.857
10 days before departure
PHP 3.543
10
11 days before departure
PHP 3.436
12 days before departure
PHP 3.056
13 days before departure
PHP 4.249
14 days before departure
PHP 2.949
15 days before departure
PHP 3.269
15
16 days before departure
PHP 2.776
17 days before departure
PHP 2.650
18 days before departure
PHP 2.677
19 days before departure
PHP 2.445
20 days before departure
PHP 2.330
20
21 days before departure
PHP 2.373
22 days before departure
PHP 2.382
23 days before departure
PHP 2.177
24 days before departure
PHP 2.341
25 days before departure
PHP 2.148
25
26 days before departure
PHP 2.565
27 days before departure
PHP 2.353
28 days before departure
PHP 2.288
29 days before departure
PHP 2.104
30 days before departure
PHP 2.229
30
31 days before departure
PHP 2.189
32 days before departure
PHP 2.067
33 days before departure
PHP 2.656
34 days before departure
PHP 2.926
35 days before departure
PHP 2.155
35
36 days before departure
PHP 2.744
37 days before departure
PHP 3.065
38 days before departure
PHP 3.199
39 days before departure
PHP 3.242
40 days before departure
PHP 2.740
40
41 days before departure
PHP 3.177
42 days before departure
PHP 2.026
43 days before departure
PHP 2.139
44 days before departure
PHP 2.237
45 days before departure
PHP 2.555
45
46 days before departure
PHP 2.693
47 days before departure
PHP 1.553
48 days before departure
PHP 2.005
49 days before departure
PHP 2.515
50 days before departure
PHP 1.831
50
51 days before departure
PHP 2.376
52 days before departure
PHP 2.664
53 days before departure
PHP 2.209
54 days before departure
PHP 2.208
55 days before departure
PHP 2.454
55
56 days before departure
PHP 1.734
57 days before departure
PHP 2.555
58 days before departure
PHP 2.227
59 days before departure
PHP 1.914
60 days before departure
PHP 2.876
60

Prijsverdeling voor vlucht Z2329

Deze grafiek toont de verdeling van prijzen zoals deze in de afgelopen jaren gevonden zijn. (Gemiddelde prijzen, gebaseerd op 3518 datapunten.)

3% of Prices between:
193k - 289k
7% of Prices between:
289k - 386k
9% of Prices between:
386k - 482k
13% of Prices between:
482k - 579k
~530k
13% of Prices between:
579k - 675k
10% of Prices between:
675k - 772k
7% of Prices between:
772k - 868k
6% of Prices between:
868k - 964k
5% of Prices between:
964k - 1.1m
~1m
5% of Prices between:
1.1m - 1.2m
4% of Prices between:
1.2m - 1.3m
2% of Prices between:
1.3m - 1.4m
3% of Prices between:
1.4m - 1.4m
1% of Prices between:
1.4m - 1.5m
~1.5m
1% of Prices between:
1.5m - 1.6m
1% of Prices between:
1.6m - 1.7m
1% of Prices between:
1.7m - 1.8m
1% of Prices between:
1.8m - 1.9m
1% of Prices between:
1.9m - 2m
~2m
1% of Prices between:
2m - 2.1m
1% of Prices between:
2.1m - 2.2m
1% of Prices between:
2.3m - 2.4m
1% of Prices between:
2.4m - 2.5m
~2.5m
1% of Prices between:
2.5m - 2.6m
1% of Prices between:
2.6m - 2.7m
1% of Prices between:
2.7m - 2.8m

Analyseer directe vluchten tussen Manilla en Tacloban.

Analyseer prijzen voor

Analyses voor populaire bestemmingen