ClimateSearch

Karuri, Kiambu County

Kenya · 194k people · 1899 m elevation · Southern 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 high79°F (26°C)81°F (27°C)80°F (27°C)76°F (25°C)73°F (23°C)71°F (22°C)70°F (21°C)71°F (22°C)75°F (24°C)77°F (25°C)75°F (24°C)76°F (24°C)
Average low54°F (12°C)54°F (12°C)56°F (13°C)58°F (14°C)56°F (14°C)53°F (12°C)51°F (11°C)52°F (11°C)53°F (11°C)56°F (13°C)56°F (13°C)55°F (13°C)
Dew point51°F (11°C)50°F (10°C)52°F (11°C)56°F (13°C)55°F (13°C)52°F (11°C)50°F (10°C)49°F (10°C)49°F (10°C)51°F (11°C)55°F (13°C)54°F (12°C)
Rainfall1.7 in (44 mm)1.6 in (41 mm)4 in (102 mm)9.2 in (233 mm)5.8 in (149 mm)1.3 in (33 mm)0.6 in (16 mm)1 in (25 mm)1.2 in (31 mm)3 in (75 mm)6 in (151 mm)3.6 in (91 mm)
Rainy days651019155345101711
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)
Sunshine241 h222 h224 h178 h188 h153 h132 h143 h194 h204 h179 h218 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 +1.1°F (+0.6°C) to +2.0°F (+1.1°C)

Days above 90°F (32°C) a year

0 → 0

Warming by month
  • January: +1.4°F (+0.8°C)
  • February: +1.4°F (+0.8°C)
  • March: +1.5°F (+0.8°C)
  • April: +1.9°F (+1.1°C)
  • May: +2.0°F (+1.1°C)
  • June: +2.3°F (+1.3°C)
  • July: +2.0°F (+1.1°C)
  • August: +2.0°F (+1.1°C)
  • September: +2.1°F (+1.2°C)
  • October: +1.6°F (+0.9°C)
  • November: +1.3°F (+0.7°C)
  • December: +1.8°F (+1.0°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.