ClimateSearch

Kākināda, Andhra Pradesh

India · 384k people · 8 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 high85°F (29°C)88°F (31°C)92°F (34°C)96°F (36°C)99°F (37°C)95°F (35°C)91°F (33°C)89°F (32°C)90°F (32°C)89°F (32°C)87°F (30°C)85°F (29°C)
Average low68°F (20°C)70°F (21°C)74°F (24°C)78°F (26°C)82°F (28°C)80°F (27°C)79°F (26°C)78°F (26°C)78°F (26°C)77°F (25°C)72°F (22°C)68°F (20°C)
Dew point66°F (19°C)67°F (20°C)71°F (22°C)75°F (24°C)76°F (25°C)76°F (24°C)76°F (24°C)76°F (24°C)76°F (25°C)74°F (24°C)70°F (21°C)66°F (19°C)
Rainfall0.2 in (4 mm)0.1 in (4 mm)0.3 in (8 mm)0.9 in (22 mm)1 in (25 mm)5.3 in (134 mm)7.9 in (201 mm)6.2 in (158 mm)8.9 in (227 mm)11.6 in (293 mm)2.5 in (63 mm)0.4 in (11 mm)
Rainy days0001191311141341
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)
Sunshine258 h246 h276 h263 h259 h134 h94 h97 h126 h174 h206 h243 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

+1.2°F (+0.7°C)

Models range from +1.0°F (+0.6°C) to +1.5°F (+0.8°C)

Days above 90°F (32°C) a year

128 → 150

About 1.2× as many

Warming by month
  • January: +0.7°F (+0.4°C)
  • February: +0.6°F (+0.3°C)
  • March: +0.4°F (+0.2°C)
  • April: +0.8°F (+0.4°C)
  • May: +1.4°F (+0.8°C)
  • June: +1.5°F (+0.9°C)
  • July: +1.0°F (+0.6°C)
  • August: +1.0°F (+0.6°C)
  • September: +1.1°F (+0.6°C)
  • October: +1.4°F (+0.8°C)
  • November: +0.9°F (+0.5°C)
  • December: +0.7°F (+0.4°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.