Yvo and utiketIndonesia

Utiket Flight Analytics for Flight Citilink QG332.
Between Makassar and Kendari.

What is the best month to arrive?

February

The best month to fly with Flight QG332 is February and the most expensive month to fly is July. (Average prices, based on 11171 datapoints.)

JanuaryRp. 657.965
Jan
FebruaryRp. 645.368
Feb
MarchRp. 655.796
Mar
AprilRp. 746.604
Apr
MayRp. 752.610
May
JuneRp. 660.498
Jun
JulyRp. 776.015
Jul
AugustRp. 680.597
Aug
SeptemberRp. 659.457
Sep
OctoberRp. 723.243
Oct
NovemberRp. 676.534
Nov
DecemberRp. 701.205
Dec

What is the cheapest day to fly?

Wednesday

The best day to arrive at Makassar is Wednesday and it would be best to avoid Sunday, as prices are on average 4.46% higher than on Wednesday. (Average prices, based on 48000978 datapoints.)

MondayRp. 659.732
Mon
TuesdayRp. 659.970
Tue
WednesdayRp. 646.996
Wed
ThursdayRp. 655.274
Thu
FridayRp. 664.461
Fri
SaturdayRp. 675.152
Sat
SundayRp. 675.824
Sun

How many days before departure should I book?

272 days

The best time to book is 272 days before the departure date. You will get, on average, the cheapest price for flight QG332. (Average prices, based on 1638 datapoints.)

0 days before departure
Rp. 624.408
0
1 days before departure
Rp. 675.625
2 days before departure
Rp. 662.485
3 days before departure
Rp. 668.675
4 days before departure
Rp. 674.655
5 days before departure
Rp. 669.861
5
6 days before departure
Rp. 667.959
7 days before departure
Rp. 640.294
8 days before departure
Rp. 655.326
9 days before departure
Rp. 645.519
10 days before departure
Rp. 656.849
10
11 days before departure
Rp. 659.340
12 days before departure
Rp. 753.217
13 days before departure
Rp. 668.740
14 days before departure
Rp. 694.790
15 days before departure
Rp. 656.891
15
16 days before departure
Rp. 530.819
17 days before departure
Rp. 600.851
18 days before departure
Rp. 705.443
19 days before departure
Rp. 709.973
20 days before departure
Rp. 734.660
20
21 days before departure
Rp. 714.472
22 days before departure
Rp. 628.250
23 days before departure
Rp. 697.980
24 days before departure
Rp. 745.356
25 days before departure
Rp. 618.991
25
26 days before departure
Rp. 757.754
27 days before departure
Rp. 602.646
28 days before departure
Rp. 725.763
29 days before departure
Rp. 660.818
30 days before departure
Rp. 683.099
30
31 days before departure
Rp. 751.718
32 days before departure
Rp. 555.191
33 days before departure
Rp. 629.473
34 days before departure
Rp. 683.099
35 days before departure
Rp. 1.048.117
35
38 days before departure
Rp. 892.550
39 days before departure
Rp. 870.976
40 days before departure
Rp. 767.600
41 days before departure
Rp. 715.296
44 days before departure
Rp. 2.145.935
44
52 days before departure
Rp. 758.165
53 days before departure
Rp. 700.394
55 days before departure
Rp. 700.394
56 days before departure
Rp. 825.371
58 days before departure
Rp. 887.180
58
59 days before departure
Rp. 787.439
61 days before departure
Rp. 899.934
63 days before departure
Rp. 809.137
83 days before departure
Rp. 791.295
122 days before departure
Rp. 891.150
122
124 days before departure
Rp. 894.989
126 days before departure
Rp. 749.445
135 days before departure
Rp. 897.740
139 days before departure
Rp. 899.934
158 days before departure
Rp. 896.202
158
197 days before departure
Rp. 899.934
272 days before departure
Rp. 476.864

Price distribution of Flight QG332

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1633 datapoints.)

1% of Prices between:
295k - 355k
~325k
5% of Prices between:
355k - 414k
~384k
5% of Prices between:
414k - 473k
~443k
10% of Prices between:
473k - 532k
~502k
11% of Prices between:
532k - 591k
~561k
13% of Prices between:
591k - 650k
~621k
16% of Prices between:
650k - 709k
~680k
22% of Prices between:
709k - 768k
~739k
6% of Prices between:
768k - 827k
~798k
5% of Prices between:
827k - 886k
~857k
4% of Prices between:
886k - 946k
~916k
1% of Prices between:
946k - 1m
~975k

Analyse direct flights between Makassar and Kendari.

Analyse prices for

Popular cities to analyse