ClimateSearch

Lavras, Minas Gerais

Brazil · 111k people · 923 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 high80°F (26°C)80°F (27°C)79°F (26°C)77°F (25°C)73°F (23°C)72°F (22°C)73°F (23°C)76°F (24°C)79°F (26°C)80°F (27°C)78°F (26°C)79°F (26°C)
Average low65°F (18°C)65°F (18°C)64°F (18°C)61°F (16°C)56°F (13°C)53°F (12°C)53°F (11°C)54°F (12°C)58°F (15°C)62°F (16°C)63°F (17°C)64°F (18°C)
Dew point64°F (18°C)64°F (18°C)63°F (17°C)60°F (16°C)55°F (13°C)53°F (12°C)51°F (10°C)50°F (10°C)54°F (12°C)58°F (15°C)61°F (16°C)64°F (18°C)
Rainfall9.2 in (233 mm)5.5 in (139 mm)5.8 in (148 mm)2 in (52 mm)1.4 in (35 mm)0.7 in (18 mm)0.4 in (11 mm)0.7 in (17 mm)2.4 in (60 mm)3.8 in (96 mm)6.8 in (174 mm)9 in (229 mm)
Rainy days211718953238131923
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)
Sunshine289 h288 h302 h298 h282 h273 h289 h314 h304 h307 h280 h295 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 +1.0°F (+0.6°C) to +1.9°F (+1.1°C)

Days above 90°F (32°C) a year

2 4

About 1.9× as many

Warming by month
  • January: +1.4°F (+0.8°C)
  • February: +1.1°F (+0.6°C)
  • March: +1.5°F (+0.8°C)
  • April: +1.3°F (+0.7°C)
  • May: +1.1°F (+0.6°C)
  • June: +1.3°F (+0.7°C)
  • July: +2.6°F (+1.5°C)
  • August: +2.2°F (+1.2°C)
  • September: +2.4°F (+1.3°C)
  • October: +2.8°F (+1.6°C)
  • November: +2.1°F (+1.1°C)
  • December: +1.7°F (+1.0°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.