ClimateSearch

Gondiā, Maharashtra

India · 133k people · 319 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 high80°F (27°C)86°F (30°C)94°F (34°C)101°F (38°C)105°F (41°C)95°F (35°C)85°F (29°C)84°F (29°C)86°F (30°C)87°F (31°C)84°F (29°C)80°F (27°C)
Average low56°F (13°C)60°F (16°C)68°F (20°C)76°F (24°C)83°F (28°C)81°F (27°C)76°F (24°C)75°F (24°C)74°F (23°C)69°F (21°C)62°F (16°C)55°F (13°C)
Dew point49°F (9°C)50°F (10°C)51°F (11°C)52°F (11°C)56°F (13°C)69°F (21°C)74°F (23°C)74°F (23°C)73°F (23°C)66°F (19°C)57°F (14°C)50°F (10°C)
Rainfall0.8 in (20 mm)0.5 in (12 mm)0.5 in (14 mm)0.3 in (9 mm)0.3 in (7 mm)7.8 in (198 mm)18.3 in (464 mm)15.1 in (383 mm)8.3 in (210 mm)1.8 in (46 mm)0.4 in (11 mm)0.2 in (5 mm)
Rainy days2222215262517621
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)
Sunshine316 h304 h356 h359 h389 h284 h184 h176 h251 h317 h317 h323 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 +0.6°F (+0.3°C) to +1.8°F (+1.0°C)

Days above 90°F (32°C) a year

123 133

About 1.1× as many

Warming by month
  • January: +0.5°F (+0.3°C)
  • February: +0.2°F (+0.1°C)
  • March: −0.3°F (−0.2°C)
  • April: −0.7°F (−0.4°C)
  • May: −0.3°F (−0.1°C)
  • June: +2.1°F (+1.2°C)
  • July: +1.0°F (+0.6°C)
  • August: +1.0°F (+0.6°C)
  • September: +1.3°F (+0.7°C)
  • October: +0.8°F (+0.5°C)
  • November: +0.6°F (+0.3°C)
  • December: +0.1°F (+0.1°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.