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Quito vs Mumbai

Cfb Oceanic / temperateAm Tropical monsoon

Comparing Quito change · Mumbai change

Bottom line

Mumbai is the warmer of the two — about 9°C on the annual average; Quito is the wetter, with 556 mm more rain a year, and Mumbai the sunnier.

Warmer Mumbai 9°C on the year
Wetter Quito 556 mm more a year
Sunnier Mumbai 35 pp less cloud
Colder winters Quito 3°C colder nights

How the seasons compare

The differences between Quito and Mumbai, in everyday terms.

Summers

Mumbai has far hotter summers

Quito: Mild
Mumbai: Hot

Winters

Mumbai has milder winters

Quito: Mild
Mumbai: Stays warm

Rain & snow

Quito is wetter

Quito: Very wet
Mumbai: Very wet

Sky

Mumbai is far sunnier

Quito: Often grey
Mumbai: Fairly sunny

Month-by-month charts

Temperature

Mumbai is the warmer of the two — about 9°C on the annual average.

10°20°30°40° JanAprJulOct QuitoMumbai

Precipitation

Quito is the wetter — about 556 mm more across the year.

PRECIPITATION (mm) 0450900 JanAprJulOct QuitoMumbai

Clear skies

Mumbai has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoMumbai

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) Mumbai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito222222232324242525232322
Mumbai323133333433313031343433
Difference+10+10+11+11+10+9+6+6+7+10+12+10
Jan – JunJanFebMarAprMayJun
Quito222222232324
Mumbai323133333433
Difference+10+10+11+11+10+9
Jul – DecJulAugSepOctNovDec
Quito242525232322
Mumbai313031343433
Difference+6+6+7+10+12+10
Avg low (°C) Mumbai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito141414141413121213131313
Mumbai171821242727252525242118
Difference+3+4+6+10+13+14+13+13+12+10+8+4
Jan – JunJanFebMarAprMayJun
Quito141414141413
Mumbai171821242727
Difference+3+4+6+10+13+14
Jul – DecJulAugSepOctNovDec
Quito121213131313
Mumbai252525242118
Difference+13+13+12+10+8+4
Precipitation (mm) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito294281334329270166126129219286303309
Mumbai211013653189950640596715
Difference-293-280-324-316-263+365+773+377+186-190-296-294
Jan – JunJanFebMarAprMayJun
Quito294281334329270166
Mumbai2110136531
Difference-293-280-324-316-263+365
Jul – DecJulAugSepOctNovDec
Quito126129219286303309
Mumbai89950640596715
Difference+773+377+186-190-296-294
Cloud cover (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Mumbai242122243074908668412628
Difference-57-64-66-61-51-1+18+15-8-40-55-53
Jan – JunJanFebMarAprMayJun
Quito818488858175
Mumbai242122243074
Difference-57-64-66-61-51-1
Jul – DecJulAugSepOctNovDec
Quito727175818181
Mumbai908668412628
Difference+18+15-8-40-55-53
Relative humidity (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Mumbai514544536179899088786959
Difference-35-42-42-34-24-1+12+15+12-2-13-25
Jan – JunJanFebMarAprMayJun
Quito868787868481
Mumbai514544536179
Difference-35-42-42-34-24-1
Jul – DecJulAugSepOctNovDec
Quito787576808284
Mumbai899088786959
Difference+12+15+12-2-13-25

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. Quito trends → · Mumbai trends →

Methodology & sources

Quito

Temperature & precipitation — modelled for this location from ERA5-Land reanalysis, a ~9 km global grid, because no long-record weather station is close enough to use.

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 →