Yvo and utiketIndonesia

Utiket Flight Analytics for Flight Garuda Indonesia GA238.
Between Jakarta and Semarang.

What is the best month to arrive?

November

The best month to fly with Flight GA238 is November and the most expensive month to fly is June. (Average prices, based on 1803 datapoints.)

JanuaryRp. 1.114.720
Jan
FebruaryRp. 1.018.581
Feb
MarchRp. 1.023.461
Mar
AprilRp. 1.105.869
Apr
MayRp. 1.199.045
May
JuneRp. 1.572.565
Jun
JulyRp. 1.331.102
Jul
AugustRp. 1.151.605
Aug
SeptemberRp. 975.940
Sep
OctoberRp. 1.073.026
Oct
NovemberRp. 964.421
Nov
DecemberRp. 1.061.855
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 Saturday, as prices are on average 18.71% higher than on Friday. (Average prices, based on 163786262 datapoints.)

MondayRp. 1.185.463
Mon
TuesdayRp. 1.029.917
Tue
WednesdayRp. 1.134.223
Wed
ThursdayRp. 1.069.384
Thu
FridayRp. 1.011.993
Fri
SaturdayRp. 1.201.293
Sat
SundayRp. 1.152.866
Sun

How many days before departure should I book?

58 days

The best time to book is 58 days before the departure date. You will get, on average, the cheapest price for flight GA238. (Average prices, based on 1640 datapoints.)

0 days before departure
Rp. 1.460.426
0
1 days before departure
Rp. 1.310.945
2 days before departure
Rp. 1.129.115
3 days before departure
Rp. 1.245.494
4 days before departure
Rp. 1.150.210
5 days before departure
Rp. 948.937
5
6 days before departure
Rp. 940.673
7 days before departure
Rp. 961.107
8 days before departure
Rp. 1.035.102
9 days before departure
Rp. 1.252.030
10 days before departure
Rp. 903.855
10
11 days before departure
Rp. 949.389
12 days before departure
Rp. 1.093.446
13 days before departure
Rp. 1.032.235
14 days before departure
Rp. 1.153.904
15 days before departure
Rp. 1.063.674
15
16 days before departure
Rp. 901.027
17 days before departure
Rp. 1.294.588
18 days before departure
Rp. 970.821
19 days before departure
Rp. 951.685
20 days before departure
Rp. 1.106.327
20
21 days before departure
Rp. 1.010.477
22 days before departure
Rp. 1.023.048
23 days before departure
Rp. 1.572.195
24 days before departure
Rp. 1.261.815
25 days before departure
Rp. 936.465
25
26 days before departure
Rp. 1.217.339
27 days before departure
Rp. 1.072.546
28 days before departure
Rp. 904.909
29 days before departure
Rp. 1.175.060
30 days before departure
Rp. 945.580
30
31 days before departure
Rp. 2.874.515
32 days before departure
Rp. 1.022.794
33 days before departure
Rp. 979.929
34 days before departure
Rp. 985.480
35 days before departure
Rp. 1.271.124
35
36 days before departure
Rp. 1.187.861
37 days before departure
Rp. 995.946
38 days before departure
Rp. 915.736
39 days before departure
Rp. 918.674
40 days before departure
Rp. 974.630
40
41 days before departure
Rp. 945.884
42 days before departure
Rp. 961.565
43 days before departure
Rp. 1.019.970
44 days before departure
Rp. 913.157
45 days before departure
Rp. 1.018.273
45
46 days before departure
Rp. 875.430
47 days before departure
Rp. 986.513
48 days before departure
Rp. 1.980.636
49 days before departure
Rp. 988.535
50 days before departure
Rp. 974.672
50
51 days before departure
Rp. 1.012.483
52 days before departure
Rp. 1.059.615
53 days before departure
Rp. 913.343
54 days before departure
Rp. 1.038.425
55 days before departure
Rp. 973.562
55
56 days before departure
Rp. 952.157
57 days before departure
Rp. 940.884
58 days before departure
Rp. 818.523
59 days before departure
Rp. 952.261
60 days before departure
Rp. 988.520
60

Price distribution of Flight GA238

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1753 datapoints.)

1% of Prices between:
425k - 567k
~496k
3% of Prices between:
567k - 708k
~637k
11% of Prices between:
708k - 850k
~779k
56% of Prices between:
850k - 991k
~921k
22% of Prices between:
991k - 1.1m
~1.1m
3% of Prices between:
1.1m - 1.3m
~1.2m
1% of Prices between:
1.8m - 2m
~1.9m

Analyse direct flights between Jakarta and Semarang.

Analyse prices for

Popular cities to analyse