Yvo and utiket

Utiket Flight Analytics for Flight Batik Air ID6180.
Between Jakarta and Jayapura.

What is the best month to arrive?

April

The best month to fly with Flight ID6180 is April and the most expensive month to fly is July. (Average prices, based on 1394 datapoints.)

Jan
JanuaryPHP 15.862
Feb
FebruaryPHP 14.192
Mar
MarchPHP 13.677
Apr
AprilPHP 12.949
May
MayPHP 16.561
Jun
JunePHP 19.755
Jul
JulyPHP 20.205
Aug
AugustPHP 18.408
Sep
SeptemberPHP 16.814
Oct
OctoberPHP 14.973
Nov
NovemberPHP 15.423
Dec
DecemberPHP 15.360

What is the cheapest day to fly?

Thursday

The best day to arrive at Jakarta is Thursday and it would be best to avoid Monday, as prices are on average 19.14% higher than on Thursday. (Average prices, based on 108774366 datapoints.)

Mon
MondayPHP 18.546
Tue
TuesdayPHP 15.834
Wed
WednesdayPHP 18.324
Thu
ThursdayPHP 15.566
Fri
FridayPHP 16.500
Sat
SaturdayPHP 15.708
Sun
SundayPHP 16.375

How many days before departure should I book?

44 days

The best time to book is 44 days before the departure date. You will get, on average, the cheapest price for flight ID6180. (Average prices, based on 1347 datapoints.)

0 days before departure
PHP 22.213
0
1 days before departure
PHP 24.319
2 days before departure
PHP 19.345
3 days before departure
PHP 16.354
4 days before departure
PHP 16.567
5 days before departure
PHP 19.758
5
6 days before departure
PHP 17.272
7 days before departure
PHP 15.305
8 days before departure
PHP 15.727
9 days before departure
PHP 14.627
10 days before departure
PHP 16.092
10
11 days before departure
PHP 15.089
12 days before departure
PHP 14.565
13 days before departure
PHP 15.524
14 days before departure
PHP 14.966
15 days before departure
PHP 16.140
15
16 days before departure
PHP 15.095
17 days before departure
PHP 15.358
18 days before departure
PHP 14.621
19 days before departure
PHP 15.846
20 days before departure
PHP 15.750
20
21 days before departure
PHP 16.091
22 days before departure
PHP 16.000
23 days before departure
PHP 15.712
24 days before departure
PHP 14.777
25 days before departure
PHP 14.821
25
26 days before departure
PHP 18.564
27 days before departure
PHP 15.605
28 days before departure
PHP 15.201
29 days before departure
PHP 16.085
30 days before departure
PHP 15.971
30
31 days before departure
PHP 16.979
32 days before departure
PHP 16.356
33 days before departure
PHP 16.790
34 days before departure
PHP 16.362
35 days before departure
PHP 17.766
35
36 days before departure
PHP 14.237
37 days before departure
PHP 14.196
38 days before departure
PHP 18.258
40 days before departure
PHP 11.263
41 days before departure
PHP 19.510
41
42 days before departure
PHP 16.663
43 days before departure
PHP 14.099
44 days before departure
PHP 10.758
45 days before departure
PHP 18.144
46 days before departure
PHP 16.281
46
47 days before departure
PHP 15.500
48 days before departure
PHP 16.967
49 days before departure
PHP 17.686
50 days before departure
PHP 12.298
51 days before departure
PHP 16.441
51
52 days before departure
PHP 16.489
53 days before departure
PHP 16.422
54 days before departure
PHP 17.056
55 days before departure
PHP 18.798
57 days before departure
PHP 13.109
57
59 days before departure
PHP 17.211
62 days before departure
PHP 15.304
63 days before departure
PHP 15.017
67 days before departure
PHP 19.592
68 days before departure
PHP 19.592
68

Price distribution of Flight ID6180

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1383 datapoints.)

1% of Prices between:
2.3m - 2.6m
~2.4m
2% of Prices between:
2.6m - 2.9m
~2.8m
4% of Prices between:
2.9m - 3.2m
~3.1m
11% of Prices between:
3.2m - 3.6m
~3.4m
9% of Prices between:
3.6m - 3.9m
~3.7m
14% of Prices between:
3.9m - 4.2m
~4.1m
16% of Prices between:
4.2m - 4.5m
~4.4m
12% of Prices between:
4.5m - 4.9m
~4.7m
10% of Prices between:
4.9m - 5.2m
~5m
13% of Prices between:
5.2m - 5.5m
~5.3m
2% of Prices between:
5.5m - 5.8m
~5.7m
1% of Prices between:
5.8m - 6.2m
~6m

Analyse direct flights between Jakarta and Jayapura.

Analyse prices for

Popular cities to analyse