Yvo and utiketIndonesia

Utiket Flight Analytics for Flight Lion Air JT797.
Between Jayapura and Makassar.

What is the best month to arrive?

February

The best month to fly with Flight JT797 is February and the most expensive month to fly is December. (Average prices, based on 6473 datapoints.)

JanuaryPHP 7.509
Jan
FebruaryPHP 6.814
Feb
MarchPHP 7.199
Mar
AprilPHP 8.722
Apr
MayPHP 8.470
May
JunePHP 9.435
Jun
JulyPHP 7.874
Jul
AugustPHP 8.467
Aug
SeptemberPHP 8.147
Sep
OctoberPHP 8.390
Oct
NovemberPHP 7.409
Nov
DecemberPHP 10.224
Dec

What is the cheapest day to fly?

Tuesday

The best day to arrive at Jayapura is Tuesday and it would be best to avoid Sunday, as prices are on average 3.93% higher than on Tuesday. (Average prices, based on 27445625 datapoints.)

MondayPHP 4.728
Mon
TuesdayPHP 4.669
Tue
WednesdayPHP 4.795
Wed
ThursdayPHP 4.741
Thu
FridayPHP 4.712
Fri
SaturdayPHP 4.733
Sat
SundayPHP 4.852
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 JT797. (Average prices, based on 1789 datapoints.)

0 days before departure
PHP 7.317
0
1 days before departure
PHP 6.615
2 days before departure
PHP 7.533
3 days before departure
PHP 7.373
4 days before departure
PHP 7.405
5 days before departure
PHP 7.240
5
6 days before departure
PHP 6.725
7 days before departure
PHP 6.834
8 days before departure
PHP 7.249
9 days before departure
PHP 7.299
10 days before departure
PHP 7.491
10
11 days before departure
PHP 7.620
12 days before departure
PHP 7.126
13 days before departure
PHP 7.316
14 days before departure
PHP 7.754
15 days before departure
PHP 7.733
15
16 days before departure
PHP 5.887
17 days before departure
PHP 7.067
18 days before departure
PHP 7.171
19 days before departure
PHP 7.882
20 days before departure
PHP 8.139
20
21 days before departure
PHP 6.744
22 days before departure
PHP 7.599
23 days before departure
PHP 6.575
24 days before departure
PHP 4.928
25 days before departure
PHP 6.961
25
26 days before departure
PHP 6.360
27 days before departure
PHP 6.817
28 days before departure
PHP 6.695
29 days before departure
PHP 5.940
30 days before departure
PHP 9.750
30
31 days before departure
PHP 7.266
32 days before departure
PHP 7.281
33 days before departure
PHP 6.950
34 days before departure
PHP 7.324
35 days before departure
PHP 7.240
35
36 days before departure
PHP 7.256
37 days before departure
PHP 5.957
38 days before departure
PHP 7.885
39 days before departure
PHP 6.024
40 days before departure
PHP 8.659
40
41 days before departure
PHP 5.274
42 days before departure
PHP 7.139
43 days before departure
PHP 3.908
44 days before departure
PHP 5.808
45 days before departure
PHP 7.679
45
46 days before departure
PHP 6.325
47 days before departure
PHP 6.471
48 days before departure
PHP 9.011
49 days before departure
PHP 7.446
50 days before departure
PHP 8.660
50
51 days before departure
PHP 3.269
52 days before departure
PHP 4.316
53 days before departure
PHP 6.017
54 days before departure
PHP 8.274
55 days before departure
PHP 14.961
55
56 days before departure
PHP 10.219
57 days before departure
PHP 8.062
58 days before departure
PHP 3.241
59 days before departure
PHP 9.009
60 days before departure
PHP 9.229
60

Price distribution of Flight JT797

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1854 datapoints.)

1% of Prices between:
806k - 967k
7% of Prices between:
967k - 1.1m
7% of Prices between:
1.1m - 1.3m
6% of Prices between:
1.3m - 1.5m
~1.4m
4% of Prices between:
1.5m - 1.6m
8% of Prices between:
1.6m - 1.8m
9% of Prices between:
1.8m - 1.9m
8% of Prices between:
1.9m - 2.1m
7% of Prices between:
2.1m - 2.3m
~2.2m
9% of Prices between:
2.3m - 2.4m
7% of Prices between:
2.4m - 2.6m
11% of Prices between:
2.6m - 2.7m
7% of Prices between:
2.7m - 2.9m
7% of Prices between:
2.9m - 3.1m
~3m
1% of Prices between:
3.1m - 3.2m

Analyse direct flights between Jayapura and Makassar.

Analyse prices for

Popular cities to analyse