Yvo and utiketIndonesia

Utiket Flight Analytics for Flight Batik Air ID6183.
Between Jayapura and Makassar.

What is the best month to arrive?

February

The best month to fly with Flight ID6183 is February and the most expensive month to fly is December. (Average prices, based on 6473 datapoints.)

JanuaryINR 11.378
Jan
FebruaryINR 10.325
Feb
MarchINR 10.909
Mar
AprilINR 13.217
Apr
MayINR 12.834
May
JuneINR 14.296
Jun
JulyINR 11.932
Jul
AugustINR 12.830
Aug
SeptemberINR 12.346
Sep
OctoberINR 12.714
Oct
NovemberINR 11.227
Nov
DecemberINR 15.493
Dec

What is the cheapest day to fly?

Monday

The best day to arrive at Jayapura is Monday and it would be best to avoid Sunday, as prices are on average 9.27% higher than on Monday. (Average prices, based on 27506301 datapoints.)

MondayINR 9.237
Mon
TuesdayINR 9.518
Tue
WednesdayINR 9.870
Wed
ThursdayINR 9.434
Thu
FridayINR 9.350
Fri
SaturdayINR 9.307
Sat
SundayINR 10.094
Sun

How many days before departure should I book?

24 days

The best time to book is 24 days before the departure date. You will get, on average, the cheapest price for flight ID6183. (Average prices, based on 1868 datapoints.)

0 days before departure
INR 17.162
0
1 days before departure
INR 21.380
2 days before departure
INR 17.210
3 days before departure
INR 15.627
4 days before departure
INR 14.489
5 days before departure
INR 12.847
5
6 days before departure
INR 12.549
7 days before departure
INR 12.123
8 days before departure
INR 12.526
9 days before departure
INR 14.731
10 days before departure
INR 12.957
10
11 days before departure
INR 13.100
12 days before departure
INR 13.763
13 days before departure
INR 15.001
14 days before departure
INR 12.630
15 days before departure
INR 14.329
15
16 days before departure
INR 11.651
17 days before departure
INR 13.217
18 days before departure
INR 13.087
19 days before departure
INR 15.073
20 days before departure
INR 13.684
20
21 days before departure
INR 13.265
22 days before departure
INR 13.699
23 days before departure
INR 12.204
24 days before departure
INR 9.848
25 days before departure
INR 12.278
25
26 days before departure
INR 12.263
27 days before departure
INR 12.525
28 days before departure
INR 11.797
29 days before departure
INR 11.399
30 days before departure
INR 13.827
30
31 days before departure
INR 13.867
32 days before departure
INR 13.584
33 days before departure
INR 14.459
34 days before departure
INR 13.226
35 days before departure
INR 14.049
35
36 days before departure
INR 12.828
37 days before departure
INR 13.239
38 days before departure
INR 12.994
39 days before departure
INR 11.648
40 days before departure
INR 16.190
40
41 days before departure
INR 13.001
42 days before departure
INR 14.580
43 days before departure
INR 12.436
44 days before departure
INR 12.359
45 days before departure
INR 12.829
45
46 days before departure
INR 16.535
47 days before departure
INR 11.576
48 days before departure
INR 14.782
49 days before departure
INR 11.746
50 days before departure
INR 15.197
50
51 days before departure
INR 11.976
52 days before departure
INR 12.142
53 days before departure
INR 13.409
54 days before departure
INR 13.357
55 days before departure
INR 38.318
55
56 days before departure
INR 18.175
57 days before departure
INR 14.360
58 days before departure
INR 11.933
59 days before departure
INR 14.374
60 days before departure
INR 17.733
60

Price distribution of Flight ID6183

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1876 datapoints.)

4% of Prices between:
1.1m - 1.3m
~1.2m
7% of Prices between:
1.3m - 1.6m
~1.4m
6% of Prices between:
1.6m - 1.8m
~1.7m
6% of Prices between:
1.8m - 2m
~1.9m
12% of Prices between:
2m - 2.2m
~2.1m
15% of Prices between:
2.2m - 2.4m
~2.3m
12% of Prices between:
2.4m - 2.7m
~2.5m
15% of Prices between:
2.7m - 2.9m
~2.8m
9% of Prices between:
2.9m - 3.1m
~3m
4% of Prices between:
3.1m - 3.3m
~3.2m
6% of Prices between:
3.3m - 3.5m
~3.4m
1% of Prices between:
3.5m - 3.8m
~3.7m

Analyse direct flights between Jayapura and Makassar.

Analyse prices for

Popular cities to analyse