ClimateSearch

Pimpri-Chinchwad, Maharashtra

India · 1.7M people · 570 m elevation · Northern 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 high84°F (29°C)88°F (31°C)94°F (34°C)98°F (37°C)95°F (35°C)84°F (29°C)78°F (26°C)78°F (25°C)80°F (27°C)85°F (29°C)85°F (29°C)83°F (28°C)
Average low59°F (15°C)62°F (17°C)67°F (19°C)70°F (21°C)72°F (22°C)73°F (23°C)71°F (22°C)71°F (22°C)70°F (21°C)68°F (20°C)64°F (18°C)60°F (15°C)
Dew point51°F (10°C)50°F (10°C)51°F (11°C)58°F (14°C)65°F (19°C)71°F (22°C)71°F (21°C)70°F (21°C)70°F (21°C)65°F (19°C)58°F (14°C)52°F (11°C)
Rainfall0 in (1 mm)0.1 in (2 mm)0.2 in (4 mm)0.4 in (9 mm)0.8 in (21 mm)9.7 in (247 mm)12.9 in (328 mm)9.9 in (252 mm)7.4 in (188 mm)3.1 in (79 mm)0.9 in (23 mm)0.2 in (4 mm)
Rainy days00136232929221141
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)
Sunshine330 h310 h358 h359 h364 h249 h188 h203 h255 h310 h308 h311 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 +1.3°F (+0.7°C) to +1.8°F (+1.0°C)

Days above 90°F (32°C) a year

100 109

About 1.1× as many

Warming by month
  • January: +0.7°F (+0.4°C)
  • February: +1.2°F (+0.7°C)
  • March: +1.1°F (+0.6°C)
  • April: +1.0°F (+0.5°C)
  • May: +1.6°F (+0.9°C)
  • June: +1.8°F (+1.0°C)
  • July: +1.4°F (+0.8°C)
  • August: +1.3°F (+0.7°C)
  • September: +1.6°F (+0.9°C)
  • October: +0.7°F (+0.4°C)
  • November: +1.1°F (+0.6°C)
  • December: +0.8°F (+0.4°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.