ClimateSearch

Ifakara, Morogoro

Tanzania · 206k people · 256 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 high88°F (31°C)87°F (31°C)84°F (29°C)82°F (28°C)81°F (27°C)80°F (27°C)80°F (27°C)82°F (28°C)86°F (30°C)89°F (32°C)91°F (33°C)90°F (32°C)
Average low73°F (23°C)73°F (23°C)73°F (23°C)71°F (22°C)68°F (20°C)64°F (18°C)63°F (17°C)65°F (18°C)67°F (19°C)70°F (21°C)72°F (22°C)73°F (23°C)
Dew point71°F (22°C)72°F (22°C)72°F (22°C)71°F (22°C)67°F (19°C)61°F (16°C)58°F (15°C)60°F (15°C)60°F (16°C)63°F (17°C)66°F (19°C)69°F (21°C)
Rainfall5.7 in (145 mm)5.2 in (133 mm)7.4 in (189 mm)6.3 in (160 mm)2.2 in (56 mm)0.4 in (9 mm)0.3 in (8 mm)0.4 in (10 mm)0.3 in (8 mm)1 in (24 mm)1.7 in (42 mm)3.9 in (100 mm)
Rainy days181825241132325716
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)
Sunshine326 h292 h295 h285 h322 h324 h334 h335 h331 h353 h342 h344 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 +0.8°F (+0.5°C) to +3.2°F (+1.8°C)

Days above 90°F (32°C) a year

65 91

About 1.4× as many

Warming by month
  • January: +1.7°F (+1.0°C)
  • February: +1.7°F (+1.0°C)
  • March: +0.8°F (+0.4°C)
  • April: +1.7°F (+0.9°C)
  • May: +1.7°F (+1.0°C)
  • June: +1.9°F (+1.1°C)
  • July: +1.7°F (+1.0°C)
  • August: +1.8°F (+1.0°C)
  • September: +1.9°F (+1.1°C)
  • October: +2.1°F (+1.2°C)
  • November: +1.2°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.