ClimateSearch

Itārsi, Madhya Pradesh

India · 101k people · 324 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)85°F (29°C)93°F (34°C)102°F (39°C)105°F (41°C)96°F (36°C)85°F (29°C)83°F (28°C)86°F (30°C)89°F (31°C)85°F (29°C)80°F (26°C)
Average low55°F (13°C)59°F (15°C)67°F (19°C)75°F (24°C)82°F (28°C)81°F (27°C)76°F (25°C)75°F (24°C)74°F (23°C)69°F (21°C)62°F (17°C)56°F (13°C)
Dew point49°F (10°C)49°F (10°C)48°F (9°C)48°F (9°C)55°F (13°C)69°F (20°C)74°F (23°C)74°F (23°C)72°F (22°C)64°F (18°C)56°F (13°C)50°F (10°C)
Rainfall0.3 in (9 mm)0.4 in (11 mm)0.4 in (11 mm)0.1 in (2 mm)0.2 in (5 mm)5.2 in (133 mm)14.4 in (367 mm)15.1 in (384 mm)6.5 in (165 mm)1.2 in (30 mm)0.4 in (10 mm)0.3 in (9 mm)
Rainy days2221112232515521
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)
Sunshine310 h306 h363 h359 h385 h295 h177 h167 h267 h327 h320 h314 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 (+1.0°C)

Models range from +1.4°F (+0.8°C) to +1.9°F (+1.1°C)

Days above 90°F (32°C) a year

129 145

About 1.1× as many

Warming by month
  • January: +0.6°F (+0.4°C)
  • February: +0.4°F (+0.2°C)
  • March: +0.5°F (+0.3°C)
  • April: +0.1°F (+0.0°C)
  • May: +1.1°F (+0.6°C)
  • June: +2.5°F (+1.4°C)
  • July: +1.4°F (+0.8°C)
  • August: +1.2°F (+0.7°C)
  • September: +1.4°F (+0.8°C)
  • October: +0.9°F (+0.5°C)
  • November: +0.7°F (+0.4°C)
  • December: +0.6°F (+0.3°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.