Yvo and utiketThailand
Flight number:

Utiket Flight Analytics for Flight Lion Air JT671.
Between Palangkaraya and Jakarta.

What is the best month to arrive?

February

The best month to fly with Flight JT671 is February and the most expensive month to fly is June. (Average prices, based on 912 datapoints.)

JanuaryTHB 2.897
Jan
FebruaryTHB 2.725
Feb
MarchTHB 2.794
Mar
AprilTHB 3.028
Apr
MayTHB 3.028
May
JuneTHB 3.486
Jun
JulyTHB 3.234
Jul
AugustTHB 3.234
Aug
SeptemberTHB 3.121
Sep
OctoberTHB 3.212
Oct
NovemberTHB 3.047
Nov
DecemberTHB 3.291
Dec

What is the cheapest day to fly?

Tuesday

The best day to arrive at Palangkaraya is Tuesday and it would be best to avoid Sunday, as prices are on average 6.45% higher than on Tuesday. (Average prices, based on 6556358 datapoints.)

MondayTHB 2.329
Mon
TuesdayTHB 2.276
Tue
WednesdayTHB 2.337
Wed
ThursdayTHB 2.323
Thu
FridayTHB 2.342
Fri
SaturdayTHB 2.338
Sat
SundayTHB 2.423
Sun

How many days before departure should I book?

33 days

The best time to book is 33 days before the departure date. You will get, on average, the cheapest price for flight JT671. (Average prices, based on 1507 datapoints.)

0 days before departure
THB 2.266
0
1 days before departure
THB 2.565
2 days before departure
THB 2.282
3 days before departure
THB 2.142
4 days before departure
THB 2.260
5 days before departure
THB 2.193
5
6 days before departure
THB 2.198
7 days before departure
THB 2.192
8 days before departure
THB 2.314
9 days before departure
THB 2.292
10 days before departure
THB 2.264
10
11 days before departure
THB 2.531
12 days before departure
THB 2.270
13 days before departure
THB 2.295
14 days before departure
THB 2.395
15 days before departure
THB 2.556
15
16 days before departure
THB 2.283
17 days before departure
THB 2.653
18 days before departure
THB 2.213
19 days before departure
THB 2.763
20 days before departure
THB 2.526
20
21 days before departure
THB 2.142
22 days before departure
THB 2.442
23 days before departure
THB 2.251
24 days before departure
THB 2.518
25 days before departure
THB 2.758
25
26 days before departure
THB 2.761
27 days before departure
THB 2.960
28 days before departure
THB 2.556
29 days before departure
THB 3.038
30 days before departure
THB 2.414
30
31 days before departure
THB 2.315
32 days before departure
THB 2.567
33 days before departure
THB 1.606
34 days before departure
THB 1.837
35 days before departure
THB 2.144
35
36 days before departure
THB 2.600
37 days before departure
THB 2.409
38 days before departure
THB 2.615
39 days before departure
THB 2.133
40 days before departure
THB 2.332
40
41 days before departure
THB 2.612
42 days before departure
THB 2.214
43 days before departure
THB 2.070
44 days before departure
THB 2.439
45 days before departure
THB 2.255
45
46 days before departure
THB 1.799
47 days before departure
THB 2.854
48 days before departure
THB 2.047
49 days before departure
THB 2.784
50 days before departure
THB 2.948
50
51 days before departure
THB 2.280
52 days before departure
THB 2.270
53 days before departure
THB 3.471
54 days before departure
THB 2.087
55 days before departure
THB 1.606
55
56 days before departure
THB 2.658
57 days before departure
THB 1.781
58 days before departure
THB 2.731
59 days before departure
THB 3.116
60 days before departure
THB 2.357
60

Price distribution of Flight JT671

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 1620 datapoints.)

5% of Prices between:
469k - 563k
~516k
3% of Prices between:
563k - 657k
~610k
15% of Prices between:
657k - 751k
~704k
11% of Prices between:
751k - 844k
~798k
7% of Prices between:
844k - 938k
~891k
12% of Prices between:
938k - 1m
~985k
10% of Prices between:
1m - 1.1m
~1.1m
13% of Prices between:
1.1m - 1.2m
~1.2m
8% of Prices between:
1.2m - 1.3m
~1.3m
6% of Prices between:
1.3m - 1.4m
~1.4m
2% of Prices between:
1.4m - 1.5m
~1.5m
5% of Prices between:
1.5m - 1.6m
~1.5m
2% of Prices between:
1.6m - 1.7m
~1.6m

Analyse direct flights between Palangkaraya and Jakarta.

Analyse prices for

Popular cities to analyse