Yvo and utiketMalaysia

Utiket Flight Analytics for Flight Batik Air ID7153.
Between Jakarta and Singapore.

What is the best month to arrive?

February

The best month to fly with Flight ID7153 is February and the most expensive month to fly is December. (Average prices, based on 6331 datapoints.)

Jan
JanuaryPHP 5.538
Feb
FebruaryPHP 4.815
Mar
MarchPHP 5.664
Apr
AprilPHP 6.032
May
MayPHP 5.860
Jun
JunePHP 6.534
Jul
JulyPHP 5.600
Aug
AugustPHP 5.130
Sep
SeptemberPHP 5.324
Oct
OctoberPHP 4.855
Nov
NovemberPHP 4.821
Dec
DecemberPHP 7.294

What is the cheapest day to fly?

Sunday

The best day to arrive at Jakarta is Sunday and it would be best to avoid Thursday, as prices are on average 21.35% higher than on Sunday. (Average prices, based on 963516675 datapoints.)

Mon
MondayPHP 6.178
Tue
TuesdayPHP 5.858
Wed
WednesdayPHP 6.231
Thu
ThursdayPHP 7.044
Fri
FridayPHP 6.861
Sat
SaturdayPHP 6.045
Sun
SundayPHP 5.804

How many days before departure should I book?

27 days

The best time to book is 27 days before the departure date. You will get, on average, the cheapest price for flight ID7153. (Average prices, based on 5001 datapoints.)

0 days before departure
PHP 10.104
0
1 days before departure
PHP 8.543
2 days before departure
PHP 7.727
3 days before departure
PHP 7.153
4 days before departure
PHP 6.181
5 days before departure
PHP 6.501
5
6 days before departure
PHP 6.180
7 days before departure
PHP 6.391
8 days before departure
PHP 6.819
9 days before departure
PHP 6.501
10 days before departure
PHP 6.049
10
11 days before departure
PHP 6.393
12 days before departure
PHP 5.310
13 days before departure
PHP 6.001
14 days before departure
PHP 6.003
15 days before departure
PHP 6.607
15
16 days before departure
PHP 6.061
17 days before departure
PHP 5.965
18 days before departure
PHP 6.124
19 days before departure
PHP 6.294
20 days before departure
PHP 5.786
20
21 days before departure
PHP 5.881
22 days before departure
PHP 5.753
23 days before departure
PHP 5.639
24 days before departure
PHP 6.867
25 days before departure
PHP 5.814
25
26 days before departure
PHP 5.531
27 days before departure
PHP 5.048
28 days before departure
PHP 5.650
29 days before departure
PHP 6.047
30 days before departure
PHP 6.297
30
31 days before departure
PHP 5.579
32 days before departure
PHP 6.204
33 days before departure
PHP 5.538
34 days before departure
PHP 6.573
35 days before departure
PHP 5.352
35
36 days before departure
PHP 5.695
37 days before departure
PHP 6.661
38 days before departure
PHP 6.049
39 days before departure
PHP 7.108
40 days before departure
PHP 6.569
40
41 days before departure
PHP 5.248
42 days before departure
PHP 5.672
43 days before departure
PHP 6.032
44 days before departure
PHP 6.129
45 days before departure
PHP 5.367
45
46 days before departure
PHP 5.292
47 days before departure
PHP 5.952
48 days before departure
PHP 5.462
49 days before departure
PHP 5.717
50 days before departure
PHP 7.269
50
51 days before departure
PHP 5.458
52 days before departure
PHP 5.619
53 days before departure
PHP 5.975
54 days before departure
PHP 5.758
55 days before departure
PHP 5.507
55
56 days before departure
PHP 5.874
57 days before departure
PHP 5.794
58 days before departure
PHP 5.363
59 days before departure
PHP 6.569
60 days before departure
PHP 6.303
60

Price distribution of Flight ID7153

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 4975 datapoints.)

1% of Prices between:
666k - 888k
14% of Prices between:
888k - 1.1m
30% of Prices between:
1.1m - 1.3m
21% of Prices between:
1.3m - 1.6m
8% of Prices between:
1.6m - 1.8m
~1.7m
4% of Prices between:
1.8m - 2m
4% of Prices between:
2m - 2.2m
2% of Prices between:
2.2m - 2.4m
4% of Prices between:
2.4m - 2.7m
1% of Prices between:
2.7m - 2.9m
~2.8m
2% of Prices between:
2.9m - 3.1m
2% of Prices between:
3.1m - 3.3m
1% of Prices between:
3.3m - 3.6m
1% of Prices between:
3.6m - 3.8m
1% of Prices between:
3.8m - 4m
~3.9m

Analyse direct flights between Jakarta and Singapore.

Analyse prices for

Popular cities to analyse