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Shanghai vs Quito

Cfa Humid subtropicalCfb Oceanic / temperate

Comparing Shanghai change · Quito change

Bottom line

Quito is the warmer of the two — about 1°C on the annual average; Quito is the wetter, with 1823 mm more rain a year, and Shanghai the sunnier.

Year-round temp About the same within 1°C on the year
Wetter Quito 1823 mm more a year
Sunnier Shanghai 15 pp less cloud
Colder winters Shanghai 12°C colder nights

How the seasons compare

The differences between Shanghai and Quito, in everyday terms.

Summers

Shanghai has much hotter summers

Shanghai: Hot
Quito: Mild

Winters

Quito has much milder winters

Shanghai: Chilly
Quito: Mild

Rain & snow

Quito is much wetter

Shanghai: Wet
Quito: Very wet

Sky

Shanghai is sunnier

Shanghai: Often cloudy
Quito: Often grey

Month-by-month charts

Temperature

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

-10°10°20°30°40° JanAprJulOct ShanghaiQuito

Precipitation

Quito is the wetter — about 1823 mm more across the year.

PRECIPITATION (mm) 0170340 JanAprJulOct ShanghaiQuito

Clear skies

Shanghai has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct ShanghaiQuito

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
Shanghai81014202528323228231811
Quito222222232324242525232322
Difference+14+12+8+3-2-4-8-7-3+5+11
Jan – JunJanFebMarAprMayJun
Shanghai81014202528
Quito222222232324
Difference+14+12+8+3-2-4
Jul – DecJulAugSepOctNovDec
Shanghai323228231811
Quito242525232322
Difference-8-7-3+5+11
Avg low (°C) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai24712172226262217114
Quito141414141413121213131313
Difference+12+10+7+3-4-9-14-14-10-4+3+9
Jan – JunJanFebMarAprMayJun
Shanghai247121722
Quito141414141413
Difference+12+10+7+3-4-9
Jul – DecJulAugSepOctNovDec
Shanghai26262217114
Quito121213131313
Difference-14-14-10-4+3+9
Precipitation (mm) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai736493738421315121788635745
Quito294281334329270166126129219286303309
Difference+221+216+241+256+186-47-25-88+131+222+245+264
Jan – JunJanFebMarAprMayJun
Shanghai7364937384213
Quito294281334329270166
Difference+221+216+241+256+186-47
Jul – DecJulAugSepOctNovDec
Shanghai15121788635745
Quito126129219286303309
Difference-25-88+131+222+245+264
Cloud cover (%) Quito runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai626567667079696263585754
Quito818488858175727175818181
Difference+19+19+21+18+11-4+3+9+12+23+25+27
Jan – JunJanFebMarAprMayJun
Shanghai626567667079
Quito818488858175
Difference+19+19+21+18+11-4
Jul – DecJulAugSepOctNovDec
Shanghai696263585754
Quito727175818181
Difference+3+9+12+23+25+27
Relative humidity (%) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai777878777681828178757676
Quito868787868481787576808284
Difference+9+9+9+10+8-5-6-2+5+6+9
Jan – JunJanFebMarAprMayJun
Shanghai777878777681
Quito868787868481
Difference+9+9+9+10+8
Jul – DecJulAugSepOctNovDec
Shanghai828178757676
Quito787576808284
Difference-5-6-2+5+6+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. Shanghai trends → · Quito trends →

Methodology & sources

Shanghai

Temperature & precipitation — 1991–2020 normals computed from 24 years of daily observations at Shanghai, a weather station, about 20 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.

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.

How we build these numbers →