Yvo and utiketIndia

Utiket Flight Analytics for Flight Lion Air JT616.
Between Jakarta and Pangkal Pinang.

What is the best month to arrive?

October

The best month to fly with Flight JT616 is October and the most expensive month to fly is May. (Average prices, based on 315 datapoints.)

JanuaryINR 7.534
Jan
FebruaryINR 7.351
Feb
MarchINR 7.034
Mar
AprilINR 10.784
Apr
MayINR 10.915
May
JuneINR 10.789
Jun
JulyINR 5.978
Jul
AugustINR 6.257
Aug
SeptemberINR 6.259
Sep
OctoberINR 5.447
Oct
NovemberINR 6.166
Nov

What is the cheapest day to fly?

Monday

The best day to arrive at Jakarta is Monday and it would be best to avoid Friday, as prices are on average 5.81% higher than on Monday. (Average prices, based on 95919973 datapoints.)

MondayINR 4.842
Mon
TuesdayINR 5.036
Tue
WednesdayINR 5.078
Wed
ThursdayINR 4.901
Thu
FridayINR 5.124
Fri
SaturdayINR 4.871
Sat
SundayINR 4.843
Sun

How many days before departure should I book?

61 days

The best time to book is 61 days before the departure date. You will get, on average, the cheapest price for flight JT616. (Average prices, based on 2115 datapoints.)

0 days before departure
INR 3.173
0
1 days before departure
INR 3.128
2 days before departure
INR 3.172
3 days before departure
INR 3.500
4 days before departure
INR 2.947
5 days before departure
INR 3.266
5
6 days before departure
INR 3.238
7 days before departure
INR 2.727
8 days before departure
INR 3.181
9 days before departure
INR 2.894
10 days before departure
INR 3.462
10
11 days before departure
INR 3.610
12 days before departure
INR 3.953
13 days before departure
INR 4.003
14 days before departure
INR 3.635
15 days before departure
INR 3.147
15
16 days before departure
INR 3.445
17 days before departure
INR 3.472
18 days before departure
INR 3.782
19 days before departure
INR 3.260
20 days before departure
INR 3.556
20
21 days before departure
INR 3.319
22 days before departure
INR 4.277
23 days before departure
INR 3.668
24 days before departure
INR 3.878
25 days before departure
INR 3.893
25
26 days before departure
INR 3.782
27 days before departure
INR 3.579
28 days before departure
INR 3.719
29 days before departure
INR 2.952
30 days before departure
INR 4.960
30
31 days before departure
INR 3.665
32 days before departure
INR 3.809
33 days before departure
INR 3.317
34 days before departure
INR 3.205
35 days before departure
INR 3.396
35
36 days before departure
INR 2.907
37 days before departure
INR 4.674
38 days before departure
INR 3.953
39 days before departure
INR 4.319
40 days before departure
INR 3.513
40
41 days before departure
INR 5.342
43 days before departure
INR 3.930
44 days before departure
INR 3.529
45 days before departure
INR 3.928
46 days before departure
INR 5.643
46
47 days before departure
INR 3.675
48 days before departure
INR 2.968
49 days before departure
INR 3.636
50 days before departure
INR 3.300
51 days before departure
INR 3.724
51
52 days before departure
INR 3.779
53 days before departure
INR 2.297
54 days before departure
INR 5.281
55 days before departure
INR 5.227
56 days before departure
INR 3.387
56
57 days before departure
INR 2.248
59 days before departure
INR 3.465
60 days before departure
INR 3.022
61 days before departure
INR 2.207
62 days before departure
INR 4.471
62

Price distribution of Flight JT616

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 2290 datapoints.)

2% of Prices between:
250k - 312k
10% of Prices between:
312k - 375k
20% of Prices between:
375k - 437k
12% of Prices between:
437k - 499k
6% of Prices between:
499k - 562k
~531k
6% of Prices between:
562k - 624k
7% of Prices between:
624k - 687k
4% of Prices between:
687k - 749k
8% of Prices between:
749k - 812k
8% of Prices between:
812k - 874k
~843k
7% of Prices between:
874k - 937k
3% of Prices between:
937k - 999k
2% of Prices between:
999k - 1.1m
1% of Prices between:
1.1m - 1.1m
2% of Prices between:
1.1m - 1.2m
~1.2m
1% of Prices between:
1.2m - 1.2m

Analyse direct flights between Jakarta and Pangkal Pinang.

Analyse prices for

Popular cities to analyse