Yvo and utiketAustralia
Flight number:

Utiket Flight Analytics for Flight Garuda Indonesia GA152.
Between Jakarta and Batam.

What is the best month to arrive?

February

The best month to fly with Flight GA152 is February and the most expensive month to fly is October. (Average prices, based on 3382 datapoints.)

JanuaryRp. 1.016.018
Jan
FebruaryRp. 920.270
Feb
MarchRp. 954.539
Mar
AprilRp. 1.164.665
Apr
MayRp. 1.404.646
May
JuneRp. 1.171.480
Jun
JulyRp. 1.491.887
Jul
AugustRp. 1.263.384
Aug
SeptemberRp. 1.224.593
Sep
OctoberRp. 1.614.147
Oct
NovemberRp. 1.164.476
Nov
DecemberRp. 1.253.075
Dec

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 8.07% higher than on Sunday. (Average prices, based on 152102550 datapoints.)

MondayRp. 1.713.797
Mon
TuesdayRp. 1.774.812
Tue
WednesdayRp. 1.823.644
Wed
ThursdayRp. 1.824.399
Thu
FridayRp. 1.713.620
Fri
SaturdayRp. 1.727.744
Sat
SundayRp. 1.688.112
Sun

How many days before departure should I book?

49 days

The best time to book is 49 days before the departure date. You will get, on average, the cheapest price for flight GA152. (Average prices, based on 4607 datapoints.)

0 days before departure
Rp. 2.232.473
0
1 days before departure
Rp. 2.126.099
2 days before departure
Rp. 1.925.645
3 days before departure
Rp. 1.757.776
4 days before departure
Rp. 1.652.594
5 days before departure
Rp. 1.666.536
5
6 days before departure
Rp. 1.651.307
7 days before departure
Rp. 1.580.974
8 days before departure
Rp. 1.642.565
9 days before departure
Rp. 1.640.821
10 days before departure
Rp. 1.579.022
10
11 days before departure
Rp. 1.755.024
12 days before departure
Rp. 1.758.278
13 days before departure
Rp. 1.681.201
14 days before departure
Rp. 1.756.129
15 days before departure
Rp. 1.757.447
15
16 days before departure
Rp. 1.636.660
17 days before departure
Rp. 1.653.129
18 days before departure
Rp. 1.684.851
19 days before departure
Rp. 1.726.110
20 days before departure
Rp. 1.614.605
20
21 days before departure
Rp. 1.605.927
22 days before departure
Rp. 1.595.395
23 days before departure
Rp. 1.620.204
24 days before departure
Rp. 1.699.745
25 days before departure
Rp. 1.613.961
25
26 days before departure
Rp. 1.863.638
27 days before departure
Rp. 1.648.477
28 days before departure
Rp. 1.711.395
29 days before departure
Rp. 1.632.041
30 days before departure
Rp. 1.612.676
30
31 days before departure
Rp. 1.687.443
32 days before departure
Rp. 1.637.082
33 days before departure
Rp. 1.794.142
34 days before departure
Rp. 1.655.175
35 days before departure
Rp. 1.723.620
35
36 days before departure
Rp. 1.648.938
37 days before departure
Rp. 1.642.647
38 days before departure
Rp. 1.741.249
39 days before departure
Rp. 1.671.575
40 days before departure
Rp. 1.703.619
40
41 days before departure
Rp. 2.491.881
42 days before departure
Rp. 1.599.133
43 days before departure
Rp. 1.794.763
44 days before departure
Rp. 1.812.211
45 days before departure
Rp. 1.714.883
45
46 days before departure
Rp. 1.703.599
47 days before departure
Rp. 1.740.529
48 days before departure
Rp. 1.825.675
49 days before departure
Rp. 1.555.054
50 days before departure
Rp. 1.756.489
50
51 days before departure
Rp. 2.069.348
52 days before departure
Rp. 1.907.386
53 days before departure
Rp. 1.732.887
54 days before departure
Rp. 1.783.318
55 days before departure
Rp. 1.623.355
55
56 days before departure
Rp. 1.650.131
57 days before departure
Rp. 1.678.666
58 days before departure
Rp. 1.710.343
59 days before departure
Rp. 1.726.842
60 days before departure
Rp. 1.741.373
60

Price distribution of Flight GA152

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 4888 datapoints.)

3% of Prices between:
927k - 1.1m
~1m
7% of Prices between:
1.1m - 1.3m
~1.2m
7% of Prices between:
1.3m - 1.5m
~1.4m
41% of Prices between:
1.5m - 1.7m
~1.6m
26% of Prices between:
1.7m - 1.9m
~1.8m
13% of Prices between:
1.9m - 2m
~1.9m

Analyse direct flights between Jakarta and Batam.

Analyse prices for

Popular cities to analyse