ClimateSearch

Piracicaba, São Paulo

Brazil · 441k people · 529 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 high83°F (29°C)84°F (29°C)83°F (28°C)81°F (27°C)76°F (25°C)75°F (24°C)76°F (24°C)80°F (26°C)83°F (28°C)84°F (29°C)83°F (28°C)84°F (29°C)
Average low69°F (20°C)69°F (20°C)67°F (20°C)64°F (18°C)58°F (15°C)56°F (13°C)55°F (13°C)57°F (14°C)61°F (16°C)64°F (18°C)65°F (19°C)68°F (20°C)
Dew point68°F (20°C)68°F (20°C)67°F (19°C)63°F (17°C)58°F (14°C)55°F (13°C)53°F (12°C)53°F (12°C)56°F (14°C)61°F (16°C)64°F (18°C)67°F (19°C)
Rainfall10 in (254 mm)7.4 in (187 mm)5.8 in (147 mm)2.2 in (55 mm)2 in (52 mm)1.5 in (39 mm)1.2 in (31 mm)1.2 in (30 mm)2.4 in (61 mm)4 in (103 mm)5.9 in (149 mm)7.6 in (194 mm)
Rainy days231917764448121520
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)
Sunshine305 h291 h311 h300 h278 h270 h289 h307 h303 h308 h309 h324 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

+1.5°F (+0.8°C)

Models range from +1.2°F (+0.7°C) to +1.9°F (+1.0°C)

Days above 90°F (32°C) a year

23 62

About 2.7× as many

Warming by month
  • January: +1.6°F (+0.9°C)
  • February: +1.0°F (+0.6°C)
  • March: +1.5°F (+0.8°C)
  • April: +1.4°F (+0.8°C)
  • May: +1.1°F (+0.6°C)
  • June: +1.7°F (+0.9°C)
  • July: +2.6°F (+1.4°C)
  • August: +2.1°F (+1.2°C)
  • September: +2.3°F (+1.3°C)
  • October: +2.8°F (+1.5°C)
  • November: +1.9°F (+1.1°C)
  • December: +1.9°F (+1.1°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.