ClimateSearch

Sāngli, Maharashtra

India · 601k people · 549 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 high87°F (31°C)91°F (33°C)96°F (36°C)99°F (37°C)98°F (37°C)88°F (31°C)82°F (28°C)82°F (28°C)85°F (30°C)87°F (31°C)87°F (31°C)86°F (30°C)
Average low58°F (14°C)61°F (16°C)66°F (19°C)72°F (22°C)74°F (23°C)73°F (23°C)71°F (22°C)71°F (22°C)70°F (21°C)69°F (21°C)64°F (18°C)59°F (15°C)
Dew point51°F (10°C)49°F (10°C)52°F (11°C)58°F (15°C)65°F (18°C)70°F (21°C)70°F (21°C)69°F (21°C)69°F (21°C)66°F (19°C)58°F (15°C)52°F (11°C)
Rainfall0 in (0 mm)0 in (1 mm)0.3 in (7 mm)1.4 in (34 mm)2.8 in (72 mm)3.6 in (91 mm)5.7 in (145 mm)3.5 in (89 mm)4.4 in (113 mm)5.8 in (147 mm)1.3 in (32 mm)0.3 in (7 mm)
Rainy days0014571278931
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)
Sunshine272 h266 h301 h288 h265 h119 h83 h92 h139 h201 h223 h245 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

+1.7°F (+0.9°C)

Models range from +1.2°F (+0.7°C) to +2.1°F (+1.2°C)

Days above 90°F (32°C) a year

115 → 128

About 1.1× as many

Warming by month
  • January: +0.6°F (+0.4°C)
  • February: +0.7°F (+0.4°C)
  • March: +0.7°F (+0.4°C)
  • April: +0.7°F (+0.4°C)
  • May: +1.3°F (+0.7°C)
  • June: +2.1°F (+1.2°C)
  • July: +1.5°F (+0.8°C)
  • August: +1.5°F (+0.8°C)
  • September: +1.4°F (+0.8°C)
  • October: +0.9°F (+0.5°C)
  • November: +1.0°F (+0.6°C)
  • December: +0.8°F (+0.5°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.