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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 17°F on the annual average; Quito is the wetter, with 22 in more rain a year, and Mumbai the sunnier.

Warmer Mumbai 17°F on the year
Wetter Quito 22 in more a year
Sunnier Mumbai 35 pp less cloud
Colder winters Quito 6°F 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 17°F on the annual average.

40°60°80°100° JanAprJulOct QuitoMumbai

Precipitation

Quito is the wetter — about 22 in more across the year.

PRECIPITATION (in) 01836 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 (°F) Mumbai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito727172737475767776747372
Mumbai898992929291878788939391
Difference+17+17+20+19+19+16+12+10+12+18+21+19
Jan – JunJanFebMarAprMayJun
Quito727172737475
Mumbai898992929291
Difference+17+17+20+19+19+16
Jul – DecJulAugSepOctNovDec
Quito767776747372
Mumbai878788939391
Difference+12+10+12+18+21+19
Avg low (°F) Mumbai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito565758585755545455565656
Mumbai626469758080787776747064
Difference+6+7+12+17+23+25+24+24+22+19+14+8
Jan – JunJanFebMarAprMayJun
Quito565758585755
Mumbai626469758080
Difference+6+7+12+17+23+25
Jul – DecJulAugSepOctNovDec
Quito545455565656
Mumbai787776747064
Difference+24+24+22+19+14+8
Precipitation (in) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito11.611.113.11310.66.655.18.611.211.912.2
Mumbai0.100.40.50.320.935.419.9163.80.30.6
Difference-11.5-11-12.8-12.5-10.4+14.4+30.4+14.8+7.3-7.5-11.7-11.6
Jan – JunJanFebMarAprMayJun
Quito11.611.113.11310.66.6
Mumbai0.100.40.50.320.9
Difference-11.5-11-12.8-12.5-10.4+14.4
Jul – DecJulAugSepOctNovDec
Quito55.18.611.211.912.2
Mumbai35.419.9163.80.30.6
Difference+30.4+14.8+7.3-7.5-11.7-11.6
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 →