Yvo and utiketIndia
Flight number:

Utiket Flight Analytics for Flight Super Air Jet IU899.
Between Medan and Jakarta.

What is the best month to arrive?

November

The best month to fly with Flight IU899 is November and the most expensive month to fly is June. (Average prices, based on 9076 datapoints.)

JanuaryINR 7.161
Jan
FebruaryINR 6.048
Feb
MarchINR 6.045
Mar
AprilINR 6.412
Apr
MayINR 7.050
May
JuneINR 7.278
Jun
JulyINR 6.576
Jul
AugustINR 6.281
Aug
SeptemberINR 6.286
Sep
OctoberINR 5.831
Oct
NovemberINR 5.641
Nov
DecemberINR 6.421
Dec

What is the cheapest day to fly?

Thursday

The best day to arrive at Medan is Thursday and it would be best to avoid Monday, as prices are on average 2.78% higher than on Thursday. (Average prices, based on 550741164 datapoints.)

MondayINR 6.482
Mon
TuesdayINR 6.403
Tue
WednesdayINR 6.402
Wed
ThursdayINR 6.307
Thu
FridayINR 6.340
Fri
SaturdayINR 6.349
Sat
SundayINR 6.449
Sun

How many days before departure should I book?

35 days

The best time to book is 35 days before the departure date. You will get, on average, the cheapest price for flight IU899. (Average prices, based on 2973 datapoints.)

0 days before departure
INR 7.933
0
1 days before departure
INR 6.776
2 days before departure
INR 6.568
3 days before departure
INR 6.462
4 days before departure
INR 6.228
5 days before departure
INR 6.322
5
6 days before departure
INR 6.209
7 days before departure
INR 6.086
8 days before departure
INR 6.405
9 days before departure
INR 6.275
10 days before departure
INR 6.279
10
11 days before departure
INR 6.386
12 days before departure
INR 6.293
13 days before departure
INR 6.423
14 days before departure
INR 6.418
15 days before departure
INR 6.378
15
16 days before departure
INR 6.448
17 days before departure
INR 6.267
18 days before departure
INR 6.273
19 days before departure
INR 6.339
20 days before departure
INR 6.325
20
21 days before departure
INR 5.947
22 days before departure
INR 6.283
23 days before departure
INR 6.159
24 days before departure
INR 6.419
25 days before departure
INR 5.889
25
26 days before departure
INR 6.288
27 days before departure
INR 6.430
28 days before departure
INR 6.341
29 days before departure
INR 6.411
30 days before departure
INR 5.839
30
31 days before departure
INR 6.268
32 days before departure
INR 6.914
33 days before departure
INR 7.424
34 days before departure
INR 6.908
35 days before departure
INR 5.341
35
36 days before departure
INR 5.847
37 days before departure
INR 7.095
38 days before departure
INR 6.314
39 days before departure
INR 6.904
40 days before departure
INR 6.684
40
41 days before departure
INR 6.162
42 days before departure
INR 6.451
43 days before departure
INR 6.042
44 days before departure
INR 6.275
45 days before departure
INR 7.509
45
46 days before departure
INR 6.907
47 days before departure
INR 6.790
48 days before departure
INR 5.871
49 days before departure
INR 6.522
50 days before departure
INR 6.374
50
51 days before departure
INR 6.311
53 days before departure
INR 6.269
54 days before departure
INR 6.804
55 days before departure
INR 9.563
56 days before departure
INR 6.137
56
57 days before departure
INR 6.698
58 days before departure
INR 6.249
59 days before departure
INR 5.957
60 days before departure
INR 7.250
61 days before departure
INR 8.409
61

Price distribution of Flight IU899

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 3134 datapoints.)

2% of Prices between:
774k - 844k
12% of Prices between:
844k - 915k
10% of Prices between:
915k - 985k
~950k
2% of Prices between:
985k - 1.1m
9% of Prices between:
1.1m - 1.1m
13% of Prices between:
1.1m - 1.2m
10% of Prices between:
1.2m - 1.3m
9% of Prices between:
1.3m - 1.3m
~1.3m
8% of Prices between:
1.3m - 1.4m
6% of Prices between:
1.4m - 1.5m
8% of Prices between:
1.5m - 1.5m
3% of Prices between:
1.5m - 1.6m
2% of Prices between:
1.6m - 1.7m
~1.7m
1% of Prices between:
1.7m - 1.8m
1% of Prices between:
1.8m - 1.8m

Analyse direct flights between Medan and Jakarta.

Analyse prices for

Popular cities to analyse