ClimateSearch

Diadema, São Paulo

Brazil · 404k people · 781 m elevation · Southern Hemisphere

Every month in detail

Thirty-year averages for each calendar month.

Monthly climate normals. Values shown as an em dash are missing from the source data.
MonthJanFebMarAprMayJunJulAugSepOctNovDec
Average high79°F (26°C)80°F (26°C)78°F (26°C)75°F (24°C)71°F (22°C)70°F (21°C)69°F (21°C)71°F (22°C)73°F (23°C)75°F (24°C)76°F (24°C)78°F (26°C)
Average low64°F (18°C)63°F (17°C)62°F (17°C)59°F (15°C)54°F (12°C)52°F (11°C)51°F (10°C)52°F (11°C)55°F (13°C)58°F (14°C)60°F (15°C)62°F (17°C)
Dew point67°F (19°C)67°F (19°C)66°F (19°C)62°F (17°C)58°F (14°C)55°F (13°C)54°F (12°C)55°F (13°C)58°F (14°C)61°F (16°C)62°F (17°C)65°F (18°C)
Rainfall10.9 in (276 mm)8.5 in (216 mm)7.5 in (190 mm)3.1 in (79 mm)2.2 in (55 mm)1.8 in (45 mm)2 in (51 mm)1.8 in (45 mm)2.7 in (70 mm)5.4 in (137 mm)6 in (153 mm)7.8 in (198 mm)
Rainy days191616876658121316
Snowfall0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)0 in (0 cm)
Sunshine146 h150 h162 h164 h150 h152 h162 h172 h143 h135 h142 h163 h

Scroll the table sideways for all twelve months.

Projected change, 2031–2050

Model projection, not an observation

How this city’s climate may change, measured against the same models’ own 1995–2014 output. Nothing here affects the match score above.

Change in summer afternoon highs

+1.4°F (+0.8°C)

Models range from +1.1°F (+0.6°C) to +1.7°F (+1.0°C)

Days above 90°F (32°C) a year

2 → 3

About 1.8× as many

Warming by month
  • January: +1.7°F (+1.0°C)
  • February: +0.9°F (+0.5°C)
  • March: +1.4°F (+0.8°C)
  • April: +1.3°F (+0.7°C)
  • May: +1.0°F (+0.5°C)
  • June: +1.4°F (+0.8°C)
  • July: +2.2°F (+1.2°C)
  • August: +1.8°F (+1.0°C)
  • September: +1.7°F (+0.9°C)
  • October: +2.3°F (+1.3°C)
  • November: +1.5°F (+0.9°C)
  • December: +1.6°F (+0.9°C)
Scenario
SSP5-8.5 (high emissions)
Models
4 · CMIP6 HighResMIP, downscaled

This is a high-emissions pathway — the upper end of plausible futures, not a central estimate. Changes are measured by each model against its own past output and then applied to the observed record, which cancels each model’s bias but not the genuine uncertainty about how much warming occurs. Where the models disagree widely, the range above is the honest answer.