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Luxor vs Mumbai

BWh Hot desertAm Tropical monsoon

Comparing Luxor change · Mumbai change

Bottom line

Mumbai is the warmer of the two — about 2°C on the annual average; Mumbai is the wetter, with 2468 mm more rain a year, and Luxor the sunnier.

Warmer Mumbai 2°C on the year
Wetter Mumbai 2468 mm more a year
Sunnier Luxor 27 pp less cloud
Colder winters Luxor 10°C colder nights

How the seasons compare

The differences between Luxor and Mumbai, in everyday terms.

Summers

Luxor has far hotter summers

Luxor: Extreme heat
Mumbai: Hot

Winters

Mumbai has much milder winters

Luxor: Cool
Mumbai: Stays warm

Rain & snow

Mumbai is much wetter

Luxor: Very dry
Mumbai: Very wet

Sky

Luxor is far sunnier

Luxor: Sunny
Mumbai: Fairly sunny

Month-by-month charts

Temperature

Mumbai is the warmer of the two — about 2°C on the annual average.

10°20°30°40°50° JanAprJulOct LuxorMumbai

Precipitation

Mumbai is the wetter — about 2468 mm more across the year.

PRECIPITATION (mm) 0450900 JanAprJulOct LuxorMumbai

Clear skies

Luxor has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct LuxorMumbai

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
Mumbai323133333433313031343433
Difference+9+6+3-2-6-9-11-11-8-2+5+8
Jan – JunJanFebMarAprMayJun
Luxor232530353941
Mumbai323133333433
Difference+9+6+3-2-6-9
Jul – DecJulAugSepOctNovDec
Luxor414139352924
Mumbai313031343433
Difference-11-11-8-2+5+8
Avg low (°C) Mumbai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor791317222526252319138
Mumbai171821242727252525242118
Difference+10+9+8+7+5+2+1+4+8+9
Jan – JunJanFebMarAprMayJun
Luxor7913172225
Mumbai171821242727
Difference+10+9+8+7+5+2
Jul – DecJulAugSepOctNovDec
Luxor26252319138
Mumbai252525242118
Difference+1+4+8+9
Precipitation (mm) Mumbai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor2022120001130
Mumbai211013653189950640596715
Difference+8+11-5+531+899+506+405+95+3+15
Jan – JunJanFebMarAprMayJun
Luxor2022120
Mumbai2110136531
Difference+8+11-5+531
Jul – DecJulAugSepOctNovDec
Luxor001130
Mumbai89950640596715
Difference+899+506+405+95+3+15
Cloud cover (%) Mumbai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor242525272410989111522
Mumbai242122243074908668412628
Difference-4-4-3+6+65+81+78+59+30+11+6
Jan – JunJanFebMarAprMayJun
Luxor242525272410
Mumbai242122243074
Difference-4-4-3+6+65
Jul – DecJulAugSepOctNovDec
Luxor989111522
Mumbai908668412628
Difference+81+78+59+30+11+6
Relative humidity (%) Mumbai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Luxor463727201818202125304047
Mumbai514544536179899088786959
Difference+5+8+17+33+43+61+70+69+64+48+29+12
Jan – JunJanFebMarAprMayJun
Luxor463727201818
Mumbai514544536179
Difference+5+8+17+33+43+61
Jul – DecJulAugSepOctNovDec
Luxor202125304047
Mumbai899088786959
Difference+70+69+64+48+29+12

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 → · Mumbai 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.

Mumbai

Temperature & precipitation — 1991–2020 normals computed from 18 years of daily observations at Bombay/santacruz, a weather station, about 6 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 →