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Luxor vs Kolkata

BWh Hot desertAw Tropical savanna (dry winter)

Comparing Luxor change · Kolkata change

Bottom line

Kolkata is the warmer of the two — about 1°C on the annual average; Kolkata is the wetter, with 1592 mm more rain a year, and Luxor the sunnier.

Warmer Kolkata 1°C on the year
Wetter Kolkata 1592 mm more a year
Sunnier Luxor 35 pp less cloud
Colder winters Luxor 6°C colder nights

How the seasons compare

The differences between Luxor and Kolkata, in everyday terms.

Summers

Luxor has much hotter summers

Luxor: Extreme heat
Kolkata: Very hot

Winters

Kolkata has much milder winters

Luxor: Cool
Kolkata: Stays warm

Rain & snow

Kolkata is much wetter

Luxor: Very dry
Kolkata: Very wet

Sky

Luxor is far sunnier

Luxor: Sunny
Kolkata: Partly cloudy

Month-by-month charts

Temperature

Kolkata is the warmer of the two — about 1°C on the annual average.

10°20°30°40°50° JanAprJulOct LuxorKolkata

Precipitation

Kolkata is the wetter — about 1592 mm more across the year.

PRECIPITATION (mm) 0175350 JanAprJulOct LuxorKolkata

Clear skies

Luxor has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct LuxorKolkata

Exact monthly numbers

Tap a metric to open its full table. Desktop shows all twelve months; on a phone each metric splits into Jan–Jun and Jul–Dec.

Avg high (°C) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor232530353941414139352924
Kolkata252934363635333333323026
Difference+3+4+4+1-3-7-8-8-6-3+1+2
Jan – JunJanFebMarAprMayJun
Luxor232530353941
Kolkata252934363635
Difference+3+4+4+1-3-7
Jul – DecJulAugSepOctNovDec
Luxor414139352924
Kolkata333333323026
Difference-8-8-6-3+1+2
Avg low (°C) Kolkata runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor791317222526252319138
Kolkata131621252626262626241914
Difference+6+8+9+7+4+2+1+1+3+4+6+5
Jan – JunJanFebMarAprMayJun
Luxor7913172225
Kolkata131621252626
Difference+6+8+9+7+4+2
Jul – DecJulAugSepOctNovDec
Luxor26252319138
Kolkata262626241914
Difference+1+1+3+4+6+5
Precipitation (mm) Kolkata runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor2022120001130
Kolkata16282748132241337342274139266
Difference+14+27+26+46+120+241+337+342+273+138+22+6
Jan – JunJanFebMarAprMayJun
Luxor2022120
Kolkata16282748132241
Difference+14+27+26+46+120+241
Jul – DecJulAugSepOctNovDec
Luxor001130
Kolkata337342274139266
Difference+337+342+273+138+22+6
Cloud cover (%) Kolkata runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor242525272410989111522
Kolkata252633456282888777482724
Difference+1+1+8+19+38+72+79+79+68+37+12+2
Jan – JunJanFebMarAprMayJun
Luxor242525272410
Kolkata252633456282
Difference+1+1+8+19+38+72
Jul – DecJulAugSepOctNovDec
Luxor989111522
Kolkata888777482724
Difference+79+79+68+37+12+2
Relative humidity (%) Kolkata runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor463727201818202125304047
Kolkata585252607083899090837668
Difference+12+15+25+40+52+65+69+69+65+53+35+21
Jan – JunJanFebMarAprMayJun
Luxor463727201818
Kolkata585252607083
Difference+12+15+25+40+52+65
Jul – DecJulAugSepOctNovDec
Luxor202125304047
Kolkata899090837668
Difference+69+69+65+53+35+21

How both climates are changing

Both cities are warming. Each city has its own warming trend; see its trends page for the year-by-year detail. Luxor trends → · Kolkata trends →

Methodology & sources

Luxor

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Luxor Intl, a weather station, about 7 km from the city centre. The underlying daily records come from NOAA's global station network.

Cloud, humidity, wind & sunshine — modelled estimates from NASA POWER, NASA's satellite-and-reanalysis climatology. This is the standard global source for atmospheric variables, which are not measured at most weather stations.

Kolkata

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Netaji Subhash Chandra Bose Intl, a weather station, about 13 km from the city centre. The underlying daily records come from NOAA's global station network.

Cloud, humidity, wind & sunshine — modelled estimates from NASA POWER, NASA's satellite-and-reanalysis climatology. This is the standard global source for atmospheric variables, which are not measured at most weather stations.

How we build these numbers →