ClimateSearch

Vejalpur, Gujarat

India · 122k people · 112 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 high83°F (29°C)90°F (32°C)98°F (36°C)104°F (40°C)106°F (41°C)99°F (37°C)90°F (32°C)87°F (31°C)89°F (32°C)95°F (35°C)92°F (33°C)87°F (30°C)
Average low53°F (12°C)58°F (14°C)66°F (19°C)74°F (24°C)81°F (27°C)81°F (27°C)78°F (25°C)76°F (25°C)76°F (24°C)70°F (21°C)61°F (16°C)55°F (13°C)
Dew point47°F (9°C)47°F (8°C)48°F (9°C)53°F (12°C)64°F (18°C)73°F (23°C)75°F (24°C)75°F (24°C)74°F (23°C)64°F (18°C)54°F (12°C)50°F (10°C)
Rainfall0.1 in (2 mm)0.1 in (2 mm)0.2 in (5 mm)0 in (1 mm)0.1 in (3 mm)5 in (126 mm)18.6 in (472 mm)11.7 in (297 mm)11.2 in (284 mm)0.8 in (20 mm)0.1 in (1 mm)0.1 in (2 mm)
Rainy days00000516139200
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)
Sunshine278 h271 h307 h308 h331 h210 h82 h85 h179 h274 h262 h260 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 +1.6°F (+0.9°C)

Days above 90°F (32°C) a year

165 → 177

About 1.1× as many

Warming by month
  • January: +0.4°F (+0.2°C)
  • February: +0.6°F (+0.4°C)
  • March: +0.6°F (+0.4°C)
  • April: +0.8°F (+0.5°C)
  • May: +0.8°F (+0.5°C)
  • June: +1.8°F (+1.0°C)
  • July: +1.7°F (+0.9°C)
  • August: +1.1°F (+0.6°C)
  • September: +0.6°F (+0.3°C)
  • October: −0.1°F (+0.0°C)
  • November: +0.1°F (+0.1°C)
  • December: +0.4°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.