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Quito vs Sintra

Cfb Oceanic / temperateCsa Hot-summer Mediterranean

Comparing Quito change · Sintra change

Bottom line

Quito is the warmer of the two — about 1°C on the annual average; Quito is the wetter, with 2373 mm more rain a year, and Sintra the sunnier.

Warmer Quito 1°C on the year
Wetter Quito 2373 mm more a year
Sunnier Sintra 26 pp less cloud
Colder winters Sintra 5°C colder nights

How the seasons compare

The differences between Quito and Sintra, in everyday terms.

Summers

Sintra has much hotter summers

Quito: Mild
Sintra: Warm

Winters

Quito has much milder winters

Quito: Mild
Sintra: Cool

Rain & snow

Quito is much wetter

Quito: Very wet
Sintra: Moderate rainfall

Sky

Sintra is far sunnier

Quito: Often grey
Sintra: Partly cloudy

Month-by-month charts

Temperature

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

10°20°30°40° JanAprJulOct QuitoSintra

Precipitation

Quito is the wetter — about 2373 mm more across the year.

PRECIPITATION (mm) 0170340 JanAprJulOct QuitoSintra

Clear skies

Sintra has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct QuitoSintra

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
Quito222222232324242525232322
Sintra141618202326282927221815
Difference-8-6-4-3+2+4+4+2-1-5-8
Jan – JunJanFebMarAprMayJun
Quito222222232324
Sintra141618202326
Difference-8-6-4-3+2
Jul – DecJulAugSepOctNovDec
Quito242525232322
Sintra282927221815
Difference+4+4+2-1-5-8
Avg low (°C) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito141414141413121213131313
Sintra891012141618181715119
Difference-5-5-4-3+4+6+6+5+2-2-4
Jan – JunJanFebMarAprMayJun
Quito141414141413
Sintra8910121416
Difference-5-5-4-3+4
Jul – DecJulAugSepOctNovDec
Quito121213131313
Sintra18181715119
Difference+6+6+5+2-2-4
Precipitation (mm) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito294281334329270166126129219286303309
Sintra86636456541045309311197
Difference-209-217-270-273-215-157-122-123-189-193-192-212
Jan – JunJanFebMarAprMayJun
Quito294281334329270166
Sintra866364565410
Difference-209-217-270-273-215-157
Jul – DecJulAugSepOctNovDec
Quito126129219286303309
Sintra45309311197
Difference-122-123-189-193-192-212
Cloud cover (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito818488858175727175818181
Sintra605858585348434148576062
Difference-21-26-29-27-28-27-29-30-27-24-22-19
Jan – JunJanFebMarAprMayJun
Quito818488858175
Sintra605858585348
Difference-21-26-29-27-28-27
Jul – DecJulAugSepOctNovDec
Quito727175818181
Sintra434148576062
Difference-29-30-27-24-22-19
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Quito868787868481787576808284
Sintra838179787777787879818284
Difference-3-5-7-8-7-4+3+2+1
Jan – JunJanFebMarAprMayJun
Quito868787868481
Sintra838179787777
Difference-3-5-7-8-7-4
Jul – DecJulAugSepOctNovDec
Quito787576808284
Sintra787879818284
Difference+3+2+1

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 → · Sintra 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.

Sintra

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Lisboa/gago Coutinho, a weather station, about 22 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 →