Yvo and utiket

Utiket Flight Analytics for Flight MasWings MH871.
Between Kuala Lumpur and Surabaya.

What is the best month to arrive?

February

The best month to fly with Flight MH871 is February and the most expensive month to fly is June. (Average prices, based on 1766 datapoints.)

JanuaryPHP 6.550
Jan
FebruaryPHP 4.906
Feb
MarchPHP 5.543
Mar
AprilPHP 5.541
Apr
MayPHP 7.235
May
JunePHP 8.366
Jun
JulyPHP 6.953
Jul
AugustPHP 6.729
Aug
SeptemberPHP 7.141
Sep
OctoberPHP 6.041
Oct
NovemberPHP 7.195
Nov
DecemberPHP 6.443
Dec

What is the cheapest day to fly?

Saturday

The best day to arrive at Kuala Lumpur is Saturday and it would be best to avoid Friday, as prices are on average 9.75% higher than on Saturday. (Average prices, based on 89620745 datapoints.)

MondayPHP 6.427
Mon
TuesdayPHP 6.178
Tue
WednesdayPHP 6.084
Wed
ThursdayPHP 6.204
Thu
FridayPHP 6.495
Fri
SaturdayPHP 5.918
Sat
SundayPHP 6.344
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 MH871. (Average prices, based on 1947 datapoints.)

0 days before departure
PHP 15.156
0
1 days before departure
PHP 9.267
2 days before departure
PHP 7.724
3 days before departure
PHP 8.856
4 days before departure
PHP 7.827
5 days before departure
PHP 8.120
5
6 days before departure
PHP 6.567
7 days before departure
PHP 6.992
8 days before departure
PHP 8.347
9 days before departure
PHP 7.439
10 days before departure
PHP 6.822
10
11 days before departure
PHP 7.256
12 days before departure
PHP 6.191
13 days before departure
PHP 5.074
14 days before departure
PHP 5.032
15 days before departure
PHP 5.428
15
16 days before departure
PHP 7.639
17 days before departure
PHP 6.294
18 days before departure
PHP 5.787
19 days before departure
PHP 5.597
20 days before departure
PHP 5.931
20
21 days before departure
PHP 6.214
22 days before departure
PHP 5.634
23 days before departure
PHP 6.548
24 days before departure
PHP 4.672
25 days before departure
PHP 5.435
25
26 days before departure
PHP 7.403
27 days before departure
PHP 7.526
28 days before departure
PHP 8.214
29 days before departure
PHP 6.158
30 days before departure
PHP 6.058
30
31 days before departure
PHP 6.911
32 days before departure
PHP 5.257
33 days before departure
PHP 6.021
34 days before departure
PHP 5.609
35 days before departure
PHP 4.848
35
36 days before departure
PHP 5.390
37 days before departure
PHP 4.461
38 days before departure
PHP 7.314
39 days before departure
PHP 4.465
40 days before departure
PHP 6.604
40
41 days before departure
PHP 6.298
42 days before departure
PHP 4.729
43 days before departure
PHP 7.498
44 days before departure
PHP 6.779
45 days before departure
PHP 5.619
45
46 days before departure
PHP 4.464
47 days before departure
PHP 4.943
48 days before departure
PHP 3.839
49 days before departure
PHP 4.675
50 days before departure
PHP 4.702
50
51 days before departure
PHP 5.064
52 days before departure
PHP 4.375
53 days before departure
PHP 5.914
54 days before departure
PHP 4.673
55 days before departure
PHP 5.146
55
56 days before departure
PHP 4.592
57 days before departure
PHP 5.459
58 days before departure
PHP 3.835
59 days before departure
PHP 4.586
60 days before departure
PHP 4.552
60

Price distribution of Flight MH871

This graph shows the distribution of prices found in the past years for this flight. (Average prices, based on 2842 datapoints.)

2% of Prices between:
655k - 873k
~764k
26% of Prices between:
873k - 1.1m
17% of Prices between:
1.1m - 1.3m
14% of Prices between:
1.3m - 1.5m
9% of Prices between:
1.5m - 1.7m
8% of Prices between:
1.7m - 2m
~1.9m
5% of Prices between:
2m - 2.2m
4% of Prices between:
2.2m - 2.4m
5% of Prices between:
2.4m - 2.6m
3% of Prices between:
2.6m - 2.8m
2% of Prices between:
2.8m - 3.1m
~2.9m
1% of Prices between:
3.1m - 3.3m
1% of Prices between:
3.3m - 3.5m
1% of Prices between:
3.9m - 4.1m
~4m
1% of Prices between:
4.1m - 4.4m
1% of Prices between:
4.4m - 4.6m

Analyse direct flights between Kuala Lumpur and Surabaya.

Analyse prices for

Popular cities to analyse