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Shanghai vs Sintra

Cfa Humid subtropicalCsa Hot-summer Mediterranean

Comparing Shanghai change · Sintra change

Bottom line

Shanghai and Sintra have nearly identical year-round temperatures; Shanghai is the wetter, with 22 in more rain a year, and Sintra the sunnier.

Year-round temp About the same within 2°F on the year
Wetter Shanghai 22 in more a year
Sunnier Sintra 11 pp less cloud
Colder winters Shanghai 11°F colder nights

How the seasons compare

The differences between Shanghai and Sintra, in everyday terms.

Summers

Shanghai has hotter summers

Shanghai: Hot
Sintra: Warm

Winters

Sintra has much milder winters

Shanghai: Chilly
Sintra: Cool

Rain & snow

Shanghai is wetter

Shanghai: Wet
Sintra: Moderate rainfall

Sky

Sintra is sunnier

Shanghai: Often cloudy
Sintra: Partly cloudy

Month-by-month charts

Temperature

Shanghai and Sintra run remarkably close all year.

20°40°60°80°100° JanAprJulOct ShanghaiSintra

Precipitation

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

PRECIPITATION (in) 04.59 JanAprJulOct ShanghaiSintra

Clear skies

Sintra has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct ShanghaiSintra

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) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai475057687782908982736452
Sintra586065687379838480726459
Difference+11+10+8-4-3-7-5-2-1+7
Jan – JunJanFebMarAprMayJun
Shanghai475057687782
Sintra586065687379
Difference+11+10+8-4-3
Jul – DecJulAugSepOctNovDec
Shanghai908982736452
Sintra838480726459
Difference-7-5-2-1+7
Avg low (°F) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai363844536371787872625140
Sintra474851535761646563595348
Difference+11+9+7-6-10-14-13-9-3+1+9
Jan – JunJanFebMarAprMayJun
Shanghai363844536371
Sintra474851535761
Difference+11+9+7-6-10
Jul – DecJulAugSepOctNovDec
Shanghai787872625140
Sintra646563595348
Difference-14-13-9-3+1+9
Precipitation (in) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai2.92.53.62.93.38.45.98.53.52.52.31.8
Sintra3.42.52.52.22.10.40.20.21.23.64.43.8
Difference+0.5-1.1-0.7-1.2-8-5.8-8.3-2.3+1.2+2.1+2.1
Jan – JunJanFebMarAprMayJun
Shanghai2.92.53.62.93.38.4
Sintra3.42.52.52.22.10.4
Difference+0.5-1.1-0.7-1.2-8
Jul – DecJulAugSepOctNovDec
Shanghai5.98.53.52.52.31.8
Sintra0.20.21.23.64.43.8
Difference-5.8-8.3-2.3+1.2+2.1+2.1
Cloud cover (%) Shanghai runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai626567667079696263585754
Sintra605858585348434148576062
Difference-2-7-9-8-17-31-26-21-15-1+3+8
Jan – JunJanFebMarAprMayJun
Shanghai626567667079
Sintra605858585348
Difference-2-7-9-8-17-31
Jul – DecJulAugSepOctNovDec
Shanghai696263585754
Sintra434148576062
Difference-26-21-15-1+3+8
Relative humidity (%) Sintra runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
Shanghai777878777681828178757676
Sintra838179787777787879818284
Difference+6+3+1+1+1-4-5-3+1+5+6+9
Jan – JunJanFebMarAprMayJun
Shanghai777878777681
Sintra838179787777
Difference+6+3+1+1+1-4
Jul – DecJulAugSepOctNovDec
Shanghai828178757676
Sintra787879818284
Difference-5-3+1+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 → · Sintra 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.

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 →