ClimateSearch

Ratlām, Madhya Pradesh

India · 265k people · 485 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 high78°F (26°C)83°F (28°C)92°F (33°C)99°F (37°C)102°F (39°C)94°F (35°C)83°F (29°C)81°F (27°C)84°F (29°C)89°F (31°C)85°F (29°C)80°F (27°C)
Average low54°F (12°C)58°F (15°C)66°F (19°C)73°F (23°C)78°F (26°C)78°F (25°C)74°F (23°C)73°F (23°C)72°F (22°C)68°F (20°C)63°F (17°C)56°F (14°C)
Dew point43°F (6°C)43°F (6°C)42°F (6°C)45°F (7°C)56°F (13°C)68°F (20°C)72°F (22°C)72°F (22°C)70°F (21°C)58°F (15°C)49°F (10°C)45°F (7°C)
Rainfall0.1 in (4 mm)0.1 in (3 mm)0.1 in (3 mm)0.1 in (3 mm)0.2 in (5 mm)4.5 in (115 mm)13.4 in (339 mm)13.1 in (333 mm)5.7 in (145 mm)0.8 in (21 mm)0.2 in (6 mm)0.3 in (8 mm)
Rainy days1111111232513411
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 h306 h360 h357 h374 h298 h176 h173 h271 h332 h313 h306 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 +1.8°F (+1.0°C)

Days above 90°F (32°C) a year

120 127

About 1.1× as many

Warming by month
  • January: +0.3°F (+0.2°C)
  • February: +0.2°F (+0.1°C)
  • March: +0.5°F (+0.3°C)
  • April: +0.6°F (+0.3°C)
  • May: +0.8°F (+0.5°C)
  • June: +1.8°F (+1.0°C)
  • July: +1.5°F (+0.8°C)
  • August: +1.1°F (+0.6°C)
  • September: +0.8°F (+0.5°C)
  • October: +0.0°F (+0.0°C)
  • November: +0.0°F (+0.0°C)
  • December: +0.3°F (+0.2°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.