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Utiket Flight Analytics for flights to Kolkata.

What is the best month to arrive?

September

The best month to arrive at Kolkata is September and the most expensive month to fly is June. (Average prices, based on 1729 datapoints.)

JanuaryUS $ 72
Jan
FebruaryUS $ 83
Feb
MarchUS $ 107
Mar
AprilUS $ 146
Apr
MayUS $ 96
May
JuneUS $ 159
Jun
JulyUS $ 101
Jul
AugustUS $ 74
Aug
SeptemberUS $ 71
Sep
OctoberUS $ 132
Oct
NovemberUS $ 71
Nov
DecemberUS $ 95
Dec

What is the cheapest day to fly?

Monday

The best day to arrive at Kolkata is Monday and it would be best to avoid Saturday, as prices are on average 62.38% higher than on Monday. (Average prices, based on 460 datapoints.)

MondayUS $ 80
Mon
TuesdayUS $ 86
Tue
WednesdayUS $ 87
Wed
ThursdayUS $ 88
Thu
FridayUS $ 124
Fri
SaturdayUS $ 130
Sat
SundayUS $ 93
Sun

What is the cheapest airline?

British International Helicopt

The cheapest airline flying to Kolkata is British International Helicopt. They are 84% cheaper than Singapore Airlines. (Average prices, based on 1753 datapoints.)

What is the busiest time?

21:00

At Kolkata the most flights depart around 21:00. (Hourly flights, based on 1804 datapoints.)

0:00no flights at this time
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05:00
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10:00
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15:00
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18:00no flights at this time
19:002 flights
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20:00
21:006 flights
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What are the cheapest flight destinations from Kolkata?

Delhi

From Kolkata it is on average the cheapest to fly to Delhi and to Mumbai. (Average prices, based on 710 datapoints.)

DelhiUS $ 85
DEL
MumbaiUS $ 94
BOM
BangaloreUS $ 122
BLR

To which city are most of the flights departing to?

Delhi

From Kolkata most of the flights depart to Delhi, second best connected from Kolkata is Mumbai. (Daily flights, based on 51 datapoints.)

Delhi20 daily flights
Analytics for Delhi
DEL
Mumbai15 daily flights
Analytics for Mumbai
BOM
Bangalore11 daily flights
Analytics for Bangalore
BLR
Bhubaneswar2 daily flights
Analytics for Bhubaneswar
BBI
Patna1 daily flights
Analytics for Patna
PAT
Indore1 daily flights
Analytics for Indore
IDR
Kuala Lumpur1 daily flights
Analytics for Kuala Lumpur
KUL