Yvo and utiketAustralia

Utiket Flight Analytics for Flight Cebu Pacific Air 5J963.
Between Manila and Davao.

What is the cheapest day to fly?

Sunday

The best day to arrive at Manila is Sunday and it would be best to avoid Monday, as prices are on average 10.59% higher than on Sunday. (Average prices, based on 278203222 datapoints.)

Mon
MondayUS $ 77
Tue
TuesdayUS $ 75
Wed
WednesdayUS $ 74
Thu
ThursdayUS $ 74
Fri
FridayUS $ 77
Sat
SaturdayUS $ 76
Sun
SundayUS $ 70

How many days before departure should I book?

42 days

The best time to book is 42 days before the departure date. You will get, on average, the cheapest price for flight 5J963. (Average prices, based on 3444 datapoints.)

0 days before departure
US $ 142
0
1 days before departure
US $ 127
2 days before departure
US $ 111
3 days before departure
US $ 102
4 days before departure
US $ 92
5 days before departure
US $ 88
5
6 days before departure
US $ 84
7 days before departure
US $ 72
8 days before departure
US $ 77
9 days before departure
US $ 72
10 days before departure
US $ 70
10
11 days before departure
US $ 77
12 days before departure
US $ 73
13 days before departure
US $ 65
14 days before departure
US $ 73
15 days before departure
US $ 67
15
16 days before departure
US $ 78
17 days before departure
US $ 67
18 days before departure
US $ 72
19 days before departure
US $ 67
20 days before departure
US $ 60
20
21 days before departure
US $ 68
22 days before departure
US $ 59
23 days before departure
US $ 61
24 days before departure
US $ 60
25 days before departure
US $ 65
25
26 days before departure
US $ 56
27 days before departure
US $ 65
28 days before departure
US $ 57
29 days before departure
US $ 56
30 days before departure
US $ 59
30
31 days before departure
US $ 54
32 days before departure
US $ 55
33 days before departure
US $ 51
34 days before departure
US $ 71
35 days before departure
US $ 51
35
36 days before departure
US $ 58
37 days before departure
US $ 48
38 days before departure
US $ 47
39 days before departure
US $ 60
40 days before departure
US $ 39
40
41 days before departure
US $ 50
42 days before departure
US $ 34
43 days before departure
US $ 55
44 days before departure
US $ 67
45 days before departure
US $ 58
45
46 days before departure
US $ 44
47 days before departure
US $ 52
48 days before departure
US $ 50
49 days before departure
US $ 52
50 days before departure
US $ 62
50
51 days before departure
US $ 75
52 days before departure
US $ 75
53 days before departure
US $ 44
54 days before departure
US $ 39
55 days before departure
US $ 57
55
56 days before departure
US $ 49
57 days before departure
US $ 42
58 days before departure
US $ 66
59 days before departure
US $ 44
60 days before departure
US $ 57
60

Price distribution of Flight 5J963

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 3895 datapoints.)

2% of Prices between:
273k - 364k
2% of Prices between:
364k - 455k
5% of Prices between:
455k - 546k
9% of Prices between:
546k - 637k
~591k
7% of Prices between:
637k - 728k
7% of Prices between:
728k - 819k
6% of Prices between:
819k - 910k
7% of Prices between:
910k - 1m
7% of Prices between:
1m - 1.1m
~1m
5% of Prices between:
1.1m - 1.2m
5% of Prices between:
1.2m - 1.3m
3% of Prices between:
1.3m - 1.4m
5% of Prices between:
1.4m - 1.5m
3% of Prices between:
1.5m - 1.5m
~1.5m
3% of Prices between:
1.5m - 1.6m
2% of Prices between:
1.6m - 1.7m
3% of Prices between:
1.7m - 1.8m
2% of Prices between:
1.8m - 1.9m
3% of Prices between:
1.9m - 2m
~2m
1% of Prices between:
2m - 2.1m
2% of Prices between:
2.1m - 2.2m
1% of Prices between:
2.2m - 2.3m
1% of Prices between:
2.3m - 2.4m
1% of Prices between:
2.4m - 2.5m
~2.4m
1% of Prices between:
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
1% of Prices between:
2.8m - 2.9m
~2.9m
1% of Prices between:
2.9m - 3m
1% of Prices between:
3m - 3.1m
1% of Prices between:
3.1m - 3.2m

Analyse direct flights between Manila and Davao.

Analyse prices for

Popular cities to analyse