Yvo and utiketUnited States

Utiket Flight Analytics for Flight Garuda Indonesia GA154.
Between Jakarta and Batam.

What is the best month to arrive?

March

The best month to fly with Flight GA154 is March and the most expensive month to fly is December. (Average prices, based on 3558 datapoints.)

JanuaryRp. 1.063.950
Jan
FebruaryRp. 958.724
Feb
MarchRp. 919.092
Mar
AprilRp. 1.170.224
Apr
MayRp. 1.033.521
May
JuneRp. 1.106.759
Jun
JulyRp. 1.184.910
Jul
AugustRp. 1.135.704
Aug
SeptemberRp. 1.112.409
Sep
OctoberRp. 1.049.840
Oct
NovemberRp. 1.142.293
Nov
DecemberRp. 1.264.908
Dec

What is the cheapest day to fly?

Friday

The best day to arrive at Jakarta is Friday and it would be best to avoid Tuesday, as prices are on average 9.29% higher than on Friday. (Average prices, based on 288388331 datapoints.)

MondayRp. 1.764.225
Mon
TuesdayRp. 1.836.734
Tue
WednesdayRp. 1.795.904
Wed
ThursdayRp. 1.738.395
Thu
FridayRp. 1.680.659
Fri
SaturdayRp. 1.719.363
Sat
SundayRp. 1.821.121
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 GA154. (Average prices, based on 6404 datapoints.)

0 days before departure
Rp. 2.160.907
0
1 days before departure
Rp. 2.238.030
2 days before departure
Rp. 1.963.038
3 days before departure
Rp. 1.781.263
4 days before departure
Rp. 1.727.292
5 days before departure
Rp. 1.684.787
5
6 days before departure
Rp. 1.665.536
7 days before departure
Rp. 1.591.424
8 days before departure
Rp. 1.624.995
9 days before departure
Rp. 1.636.433
10 days before departure
Rp. 1.583.775
10
11 days before departure
Rp. 1.674.798
12 days before departure
Rp. 1.689.123
13 days before departure
Rp. 1.667.238
14 days before departure
Rp. 1.655.234
15 days before departure
Rp. 1.646.774
15
16 days before departure
Rp. 1.638.340
17 days before departure
Rp. 1.641.041
18 days before departure
Rp. 1.667.083
19 days before departure
Rp. 1.739.087
20 days before departure
Rp. 1.587.919
20
21 days before departure
Rp. 1.592.536
22 days before departure
Rp. 1.604.892
23 days before departure
Rp. 1.586.765
24 days before departure
Rp. 1.665.262
25 days before departure
Rp. 1.589.940
25
26 days before departure
Rp. 1.851.720
27 days before departure
Rp. 1.664.243
28 days before departure
Rp. 1.625.810
29 days before departure
Rp. 1.688.771
30 days before departure
Rp. 1.622.440
30
31 days before departure
Rp. 1.647.693
32 days before departure
Rp. 1.642.725
33 days before departure
Rp. 1.774.261
34 days before departure
Rp. 1.655.179
35 days before departure
Rp. 1.680.530
35
36 days before departure
Rp. 1.650.736
37 days before departure
Rp. 1.715.440
38 days before departure
Rp. 1.579.824
39 days before departure
Rp. 1.627.474
40 days before departure
Rp. 1.624.807
40
41 days before departure
Rp. 2.121.915
42 days before departure
Rp. 1.540.936
43 days before departure
Rp. 1.725.382
44 days before departure
Rp. 1.695.247
45 days before departure
Rp. 1.728.907
45
46 days before departure
Rp. 1.581.057
47 days before departure
Rp. 1.576.204
48 days before departure
Rp. 1.652.301
49 days before departure
Rp. 1.511.350
50 days before departure
Rp. 1.778.406
50
51 days before departure
Rp. 1.983.974
52 days before departure
Rp. 1.730.489
53 days before departure
Rp. 1.732.887
54 days before departure
Rp. 1.570.209
55 days before departure
Rp. 1.642.579
55
56 days before departure
Rp. 1.595.939
57 days before departure
Rp. 1.631.335
58 days before departure
Rp. 1.710.343
59 days before departure
Rp. 1.629.654
60 days before departure
Rp. 1.669.677
60

Price distribution of Flight GA154

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 4897 datapoints.)

2% of Prices between:
882k - 1.1m
~992k
10% of Prices between:
1.1m - 1.3m
~1.2m
14% of Prices between:
1.3m - 1.5m
~1.4m
41% of Prices between:
1.5m - 1.8m
~1.7m
30% of Prices between:
1.8m - 2m
~1.9m
1% of Prices between:
2m - 2.2m
~2.1m

Analyse direct flights between Jakarta and Batam.

Analyse prices for

Popular cities to analyse