ClimateSearch

Vila Flor, Luanda

Angola · 256k people · 121 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)90°F (32°C)90°F (32°C)89°F (32°C)87°F (31°C)83°F (28°C)79°F (26°C)80°F (27°C)82°F (28°C)85°F (30°C)86°F (30°C)86°F (30°C)
Average low74°F (23°C)75°F (24°C)75°F (24°C)75°F (24°C)72°F (22°C)66°F (19°C)64°F (18°C)65°F (18°C)67°F (19°C)71°F (22°C)73°F (23°C)73°F (23°C)
Dew point70°F (21°C)71°F (22°C)73°F (23°C)74°F (23°C)71°F (21°C)65°F (18°C)63°F (17°C)63°F (17°C)65°F (18°C)68°F (20°C)70°F (21°C)70°F (21°C)
Rainfall3.8 in (97 mm)4.1 in (105 mm)6.1 in (156 mm)8.1 in (207 mm)1 in (25 mm)0 in (0 mm)0 in (0 mm)0.1 in (2 mm)0.1 in (3 mm)0.4 in (11 mm)3.6 in (92 mm)3.3 in (85 mm)
Rainy days66101210000066
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)
Sunshine181 h156 h161 h149 h232 h238 h230 h201 h185 h165 h170 h175 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

+1.4°F (+0.8°C)

Models range from +1.2°F (+0.7°C) to +1.7°F (+0.9°C)

Days above 90°F (32°C) a year

65 → 113

About 1.7× as many

Warming by month
  • January: +1.2°F (+0.7°C)
  • February: +1.5°F (+0.8°C)
  • March: +1.5°F (+0.8°C)
  • April: +1.7°F (+1.0°C)
  • May: +1.8°F (+1.0°C)
  • June: +1.2°F (+0.7°C)
  • July: +1.2°F (+0.7°C)
  • August: +1.5°F (+0.9°C)
  • September: +1.7°F (+1.0°C)
  • October: +1.7°F (+0.9°C)
  • November: +1.5°F (+0.8°C)
  • December: +1.4°F (+0.8°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.