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Quito vs Bengaluru

Cfb Oceanic / temperateAw Tropical savanna (dry winter)

Comparing Quito change · Bengaluru change

Bottom line

Bengaluru is the warmer of the two — about 7°C on the annual average; Quito is the wetter, with 2000 mm more rain a year, and Bengaluru the sunnier.

Warmer Bengaluru 7°C on the year
Wetter Quito 2000 mm more a year
Sunnier Bengaluru 18 pp less cloud
Colder winters Quito 3°C colder nights

How the seasons compare

The differences between Quito and Bengaluru, in everyday terms.

Summers

Bengaluru has far hotter summers

Quito: Mild
Bengaluru: Hot

Winters

Bengaluru has milder winters

Quito: Mild
Bengaluru: Stays warm

Rain & snow

Quito is much wetter

Quito: Very wet
Bengaluru: Wet

Sky

Bengaluru is sunnier

Quito: Often grey
Bengaluru: Partly cloudy

Month-by-month charts

Temperature

Bengaluru is the warmer of the two — about 7°C on the annual average.

10°20°30°40°50° JanAprJulOct QuitoBengaluru

Precipitation

Quito is the wetter — about 2000 mm more across the year.

PRECIPITATION (mm) 0170340 JanAprJulOct QuitoBengaluru

Clear skies

Bengaluru has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoBengaluru

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) Bengaluru runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito222222232324242525232322
Bengaluru293134343330282829292827
Difference+7+9+11+12+10+6+4+3+4+5+5+5
Jan – JunJanFebMarAprMayJun
Quito222222232324
Bengaluru293134343330
Difference+7+9+11+12+10+6
Jul – DecJulAugSepOctNovDec
Quito242525232322
Bengaluru282829292827
Difference+4+3+4+5+5+5
Avg low (°C) Bengaluru runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito141414141413121213131313
Bengaluru161820222221202020201816
Difference+2+4+6+8+8+8+8+8+7+7+5+3
Jan – JunJanFebMarAprMayJun
Quito141414141413
Bengaluru161820222221
Difference+2+4+6+8+8+8
Jul – DecJulAugSepOctNovDec
Quito121213131313
Bengaluru202020201816
Difference+8+8+7+7+5+3
Precipitation (mm) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito294281334329270166126129219286303309
Bengaluru211237911001451522342074320
Difference-292-280-321-292-178-67+19+23+15-79-259-289
Jan – JunJanFebMarAprMayJun
Quito294281334329270166
Bengaluru21123791100
Difference-292-280-321-292-178-67
Jul – DecJulAugSepOctNovDec
Quito126129219286303309
Bengaluru1451522342074320
Difference+19+23+15-79-259-289
Cloud cover (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Bengaluru322933536784908981736145
Difference-49-55-55-32-14+9+18+18+6-8-20-36
Jan – JunJanFebMarAprMayJun
Quito818488858175
Bengaluru322933536784
Difference-49-55-55-32-14+9
Jul – DecJulAugSepOctNovDec
Quito727175818181
Bengaluru908981736145
Difference+18+18+6-8-20-36
Relative humidity (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Bengaluru645142486275777981828175
Difference-23-36-45-39-22-6+5+5+2-1-9
Jan – JunJanFebMarAprMayJun
Quito868787868481
Bengaluru645142486275
Difference-23-36-45-39-22-6
Jul – DecJulAugSepOctNovDec
Quito787576808284
Bengaluru777981828175
Difference+5+5+2-1-9

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 → · Bengaluru 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.

Bengaluru

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Bangalore, a weather station, about 1 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 →