ClimateSearch

Nanning, Guangxi

China · 3.8M people · 93 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 high62°F (17°C)66°F (19°C)72°F (22°C)80°F (27°C)85°F (29°C)87°F (31°C)88°F (31°C)88°F (31°C)86°F (30°C)82°F (28°C)74°F (24°C)66°F (19°C)
Average low50°F (10°C)54°F (12°C)60°F (15°C)67°F (20°C)73°F (23°C)77°F (25°C)78°F (25°C)77°F (25°C)74°F (23°C)68°F (20°C)60°F (16°C)52°F (11°C)
Dew point48°F (9°C)52°F (11°C)59°F (15°C)67°F (19°C)72°F (22°C)76°F (25°C)77°F (25°C)76°F (25°C)73°F (23°C)64°F (18°C)57°F (14°C)49°F (9°C)
Rainfall2.1 in (53 mm)1.6 in (41 mm)3.1 in (79 mm)4.2 in (107 mm)8.9 in (226 mm)10.5 in (266 mm)9.5 in (242 mm)9.4 in (240 mm)6 in (153 mm)2.9 in (74 mm)2.3 in (58 mm)1.8 in (45 mm)
Rainy days9913142023222215888
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)
Sunshine133 h124 h138 h203 h251 h239 h273 h276 h275 h276 h223 h194 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 (+0.9°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

35 60

About 1.7× as many

Warming by month
  • January: +2.3°F (+1.3°C)
  • February: +1.4°F (+0.8°C)
  • March: +1.6°F (+0.9°C)
  • April: +2.6°F (+1.5°C)
  • May: +2.1°F (+1.1°C)
  • June: +1.8°F (+1.0°C)
  • July: +1.4°F (+0.8°C)
  • August: +1.3°F (+0.7°C)
  • September: +1.5°F (+0.8°C)
  • October: +2.3°F (+1.3°C)
  • November: +2.2°F (+1.2°C)
  • December: +2.1°F (+1.2°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.