Yvo and utiketThailand
Flight number:

Utiket Flight Analytics for Flight Citilink QG938.
Between Jakarta and Pekanbaru.

What is the best month to arrive?

September

The best month to fly with Flight QG938 is September and the most expensive month to fly is June. (Average prices, based on 4122 datapoints.)

JanuaryTHB 3.771
Jan
FebruaryTHB 4.071
Feb
MarchTHB 3.938
Mar
AprilTHB 4.673
Apr
MayTHB 4.549
May
JuneTHB 4.705
Jun
JulyTHB 4.386
Jul
AugustTHB 4.099
Aug
SeptemberTHB 3.689
Sep
OctoberTHB 3.813
Oct
NovemberTHB 3.933
Nov
DecemberTHB 4.094
Dec

What is the cheapest day to fly?

Tuesday

The best day to arrive at Jakarta is Tuesday and it would be best to avoid Sunday, as prices are on average 7.72% higher than on Tuesday. (Average prices, based on 143511322 datapoints.)

MondayTHB 2.637
Mon
TuesdayTHB 2.531
Tue
WednesdayTHB 2.579
Wed
ThursdayTHB 2.531
Thu
FridayTHB 2.591
Fri
SaturdayTHB 2.631
Sat
SundayTHB 2.726
Sun

How many days before departure should I book?

6 days

The best time to book is 6 days before the departure date. You will get, on average, the cheapest price for flight QG938. (Average prices, based on 3699 datapoints.)

0 days before departure
THB 2.717
0
1 days before departure
THB 2.586
2 days before departure
THB 2.486
3 days before departure
THB 2.623
4 days before departure
THB 2.507
5 days before departure
THB 2.507
5
6 days before departure
THB 2.433
7 days before departure
THB 2.465
8 days before departure
THB 2.455
9 days before departure
THB 2.478
10 days before departure
THB 2.476
10
11 days before departure
THB 2.614
12 days before departure
THB 2.698
13 days before departure
THB 2.633
14 days before departure
THB 2.498
15 days before departure
THB 2.576
15
16 days before departure
THB 2.720
17 days before departure
THB 2.624
18 days before departure
THB 2.677
19 days before departure
THB 2.553
20 days before departure
THB 2.840
20
21 days before departure
THB 2.918
22 days before departure
THB 2.746
23 days before departure
THB 2.662
24 days before departure
THB 2.750
25 days before departure
THB 3.080
25
26 days before departure
THB 2.713
27 days before departure
THB 2.551
28 days before departure
THB 2.864
29 days before departure
THB 2.648
30 days before departure
THB 2.562
30
31 days before departure
THB 2.671
32 days before departure
THB 2.443
33 days before departure
THB 2.507
34 days before departure
THB 2.901
35 days before departure
THB 2.637
35
36 days before departure
THB 2.841
37 days before departure
THB 2.507
38 days before departure
THB 2.943
39 days before departure
THB 3.133
40 days before departure
THB 2.869
40
41 days before departure
THB 2.540
42 days before departure
THB 2.866
43 days before departure
THB 3.233
44 days before departure
THB 3.309
45 days before departure
THB 2.941
45
46 days before departure
THB 3.155
47 days before departure
THB 2.690
48 days before departure
THB 3.400
49 days before departure
THB 3.090
50 days before departure
THB 2.959
50
51 days before departure
THB 2.870
52 days before departure
THB 2.576
53 days before departure
THB 2.964
54 days before departure
THB 2.901
55 days before departure
THB 2.993
55
56 days before departure
THB 2.887
57 days before departure
THB 2.495
58 days before departure
THB 2.829
59 days before departure
THB 2.826
60 days before departure
THB 3.055
60

Price distribution of Flight QG938

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 3927 datapoints.)

1% of Prices between:
442k - 531k
4% of Prices between:
531k - 619k
6% of Prices between:
619k - 708k
5% of Prices between:
708k - 796k
8% of Prices between:
796k - 885k
~841k
8% of Prices between:
885k - 973k
7% of Prices between:
973k - 1.1m
8% of Prices between:
1.1m - 1.2m
14% of Prices between:
1.2m - 1.2m
11% of Prices between:
1.2m - 1.3m
~1.3m
9% of Prices between:
1.3m - 1.4m
7% of Prices between:
1.4m - 1.5m
4% of Prices between:
1.5m - 1.6m
6% of Prices between:
1.6m - 1.7m
2% of Prices between:
1.7m - 1.8m
~1.7m

Analyse direct flights between Jakarta and Pekanbaru.

Analyse prices for

Popular cities to analyse