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São Paulo vs Luxor

Cfa Humid subtropicalBWh Hot desert

Comparing São Paulo change · Luxor change

Bottom line

Luxor is the warmer of the two — about 5°C on the annual average; São Paulo is the wetter, with 1636 mm more rain a year, and Luxor the sunnier.

Warmer Luxor 5°C on the year
Wetter São Paulo 1636 mm more a year
Sunnier Luxor 46 pp less cloud
Colder winters Luxor 6°C colder nights

How the seasons compare

The differences between São Paulo and Luxor, in everyday terms.

Summers

Luxor has far hotter summers

São Paulo: Warm
Luxor: Extreme heat

Winters

São Paulo has much milder winters

São Paulo: Mild
Luxor: Cool

Rain & snow

São Paulo is much wetter

São Paulo: Very wet
Luxor: Very dry

Sky

Luxor is far sunnier

São Paulo: Often cloudy
Luxor: Sunny

Month-by-month charts

Temperature

Luxor is the warmer of the two — about 5°C on the annual average.

10°20°30°40°50° JanAprJulOct São PauloLuxor

Precipitation

São Paulo is the wetter — about 1636 mm more across the year.

PRECIPITATION (mm) 0150300 JanAprJulOct São PauloLuxor

Clear skies

Luxor has the clearer skies — the higher line.

0%25%50%75%100% JanAprJulOct São PauloLuxor

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) Luxor runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
São Paulo292928272323232525272728
Luxor232530353941414139352924
Difference-6-4+2+8+16+18+19+17+14+9+2-4
Jan – JunJanFebMarAprMayJun
São Paulo292928272323
Luxor232530353941
Difference-6-4+2+8+16+18
Jul – DecJulAugSepOctNovDec
São Paulo232525272728
Luxor414139352924
Difference+19+17+14+9+2-4
Avg low (°C) Varies through the year
JanFebMarAprMayJunJulAugSepOctNovDec
São Paulo192019181514131315171719
Luxor791317222526252319138
Difference-12-11-6+7+11+13+12+8+3-4-10
Jan – JunJanFebMarAprMayJun
São Paulo192019181514
Luxor7913172225
Difference-12-11-6+7+11
Jul – DecJulAugSepOctNovDec
São Paulo131315171719
Luxor26252319138
Difference+13+12+8+3-4-10
Precipitation (mm) São Paulo runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
São Paulo292258229876660483283127144231
Luxor2022120001130
Difference-290-257-228-85-55-60-48-32-83-126-141-231
Jan – JunJanFebMarAprMayJun
São Paulo292258229876660
Luxor2022120
Difference-290-257-228-85-55-60
Jul – DecJulAugSepOctNovDec
São Paulo483283127144231
Luxor001130
Difference-48-32-83-126-141-231
Cloud cover (%) São Paulo runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
São Paulo797268575652484761717476
Luxor242525272410989111522
Difference-55-47-43-31-32-42-39-40-52-60-59-54
Jan – JunJanFebMarAprMayJun
São Paulo797268575652
Luxor242525272410
Difference-55-47-43-31-32-42
Jul – DecJulAugSepOctNovDec
São Paulo484761717476
Luxor989111522
Difference-39-40-52-60-59-54
Relative humidity (%) São Paulo runs higher most of the year
JanFebMarAprMayJunJulAugSepOctNovDec
São Paulo848486858583807675777981
Luxor463727201818202125304047
Difference-38-47-59-65-67-65-60-54-51-47-39-34
Jan – JunJanFebMarAprMayJun
São Paulo848486858583
Luxor463727201818
Difference-38-47-59-65-67-65
Jul – DecJulAugSepOctNovDec
São Paulo807675777981
Luxor202125304047
Difference-60-54-51-47-39-34

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. São Paulo trends → · Luxor trends →

Methodology & sources

São Paulo

Temperature & precipitation — the official 1991–2020 climate normals from INMET, Brazil's national meteorological institute, measured at Sao Paulo(mir.de Santana), about 6 km from the city centre.

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.

Luxor

Temperature & precipitation — 1991–2020 normals computed from 30 years of daily observations at Luxor Intl, a weather station, about 7 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 →