Yvo and utiketPhilippines
Flight number:

Utiket Flight Analytics for Flight Batik Air ID8890.
Between Jakarta and Medan.

What is the best month to arrive?

October

The best month to fly with Flight ID8890 is October and the most expensive month to fly is December. (Average prices, based on 12835 datapoints.)

JanuaryPHP 4.325
Jan
FebruaryPHP 4.401
Feb
MarchPHP 4.139
Mar
AprilPHP 4.817
Apr
MayPHP 4.829
May
JunePHP 4.423
Jun
JulyPHP 4.261
Jul
AugustPHP 3.821
Aug
SeptemberPHP 3.699
Sep
OctoberPHP 3.689
Oct
NovemberPHP 3.895
Nov
DecemberPHP 5.010
Dec

What is the cheapest day to fly?

Tuesday

The best day to arrive at Jakarta is Tuesday and it would be best to avoid Saturday, as prices are on average 7.81% higher than on Tuesday. (Average prices, based on 786807046 datapoints.)

MondayPHP 4.868
Mon
TuesdayPHP 4.791
Tue
WednesdayPHP 5.034
Wed
ThursdayPHP 5.086
Thu
FridayPHP 5.023
Fri
SaturdayPHP 5.166
Sat
SundayPHP 5.127
Sun

How many days before departure should I book?

49 days

The best time to book is 49 days before the departure date. You will get, on average, the cheapest price for flight ID8890. (Average prices, based on 3951 datapoints.)

0 days before departure
PHP 7.869
0
1 days before departure
PHP 6.124
2 days before departure
PHP 5.287
3 days before departure
PHP 4.968
4 days before departure
PHP 4.666
5 days before departure
PHP 4.525
5
6 days before departure
PHP 4.690
7 days before departure
PHP 4.484
8 days before departure
PHP 4.537
9 days before departure
PHP 4.663
10 days before departure
PHP 4.649
10
11 days before departure
PHP 4.951
12 days before departure
PHP 4.609
13 days before departure
PHP 4.470
14 days before departure
PHP 4.543
15 days before departure
PHP 4.440
15
16 days before departure
PHP 4.657
17 days before departure
PHP 4.838
18 days before departure
PHP 5.002
19 days before departure
PHP 4.777
20 days before departure
PHP 4.587
20
21 days before departure
PHP 4.765
22 days before departure
PHP 4.669
23 days before departure
PHP 4.616
24 days before departure
PHP 4.654
25 days before departure
PHP 4.715
25
26 days before departure
PHP 4.746
27 days before departure
PHP 5.059
28 days before departure
PHP 4.280
29 days before departure
PHP 4.908
30 days before departure
PHP 4.334
30
31 days before departure
PHP 4.649
32 days before departure
PHP 4.802
33 days before departure
PHP 4.908
34 days before departure
PHP 4.593
35 days before departure
PHP 4.715
35
36 days before departure
PHP 4.726
37 days before departure
PHP 4.923
38 days before departure
PHP 5.070
39 days before departure
PHP 4.414
40 days before departure
PHP 4.941
40
41 days before departure
PHP 5.058
42 days before departure
PHP 5.121
43 days before departure
PHP 5.410
44 days before departure
PHP 4.945
45 days before departure
PHP 4.991
45
46 days before departure
PHP 5.147
47 days before departure
PHP 5.088
48 days before departure
PHP 5.196
49 days before departure
PHP 4.207
50 days before departure
PHP 5.958
50
51 days before departure
PHP 5.962
52 days before departure
PHP 4.916
53 days before departure
PHP 4.539
54 days before departure
PHP 4.805
55 days before departure
PHP 4.441
55
56 days before departure
PHP 5.865
57 days before departure
PHP 5.593
58 days before departure
PHP 5.586
59 days before departure
PHP 5.655
60 days before departure
PHP 6.408
60

Price distribution of Flight ID8890

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 4186 datapoints.)

11% of Prices between:
651k - 814k
~733k
7% of Prices between:
814k - 977k
~896k
20% of Prices between:
977k - 1.1m
~1.1m
12% of Prices between:
1.1m - 1.3m
~1.2m
20% of Prices between:
1.3m - 1.5m
~1.4m
12% of Prices between:
1.5m - 1.6m
~1.5m
5% of Prices between:
1.6m - 1.8m
~1.7m
4% of Prices between:
1.8m - 2m
~1.9m
3% of Prices between:
2m - 2.1m
~2m
4% of Prices between:
2.1m - 2.3m
~2.2m
1% of Prices between:
2.3m - 2.4m
~2.4m

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