ClimateSearch

Beiliu, Guangxi

China · 200k people · 107 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 high64°F (18°C)68°F (20°C)73°F (23°C)80°F (27°C)84°F (29°C)86°F (30°C)88°F (31°C)87°F (31°C)86°F (30°C)83°F (28°C)76°F (25°C)68°F (20°C)
Average low50°F (10°C)54°F (12°C)60°F (16°C)67°F (20°C)72°F (22°C)76°F (24°C)76°F (25°C)76°F (24°C)73°F (23°C)68°F (20°C)60°F (16°C)52°F (11°C)
Dew point48°F (9°C)53°F (12°C)60°F (16°C)67°F (20°C)73°F (23°C)76°F (24°C)76°F (25°C)76°F (25°C)73°F (23°C)64°F (18°C)56°F (13°C)47°F (9°C)
Rainfall2.8 in (70 mm)3 in (76 mm)5.2 in (133 mm)7.7 in (196 mm)11.3 in (288 mm)11.2 in (284 mm)9.1 in (232 mm)9.8 in (249 mm)5.8 in (147 mm)2.8 in (70 mm)2.1 in (54 mm)2.1 in (52 mm)
Rainy days101118192424232416778
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)
Sunshine175 h142 h147 h202 h241 h235 h286 h276 h276 h291 h247 h221 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

+1.3°F (+0.7°C)

Models range from +0.6°F (+0.3°C) to +1.9°F (+1.1°C)

Days above 90°F (32°C) a year

19 37

About 1.9× as many

Warming by month
  • January: +2.3°F (+1.3°C)
  • February: +1.6°F (+0.9°C)
  • March: +1.6°F (+0.9°C)
  • April: +2.3°F (+1.3°C)
  • May: +1.9°F (+1.1°C)
  • June: +1.7°F (+1.0°C)
  • July: +1.2°F (+0.7°C)
  • August: +1.0°F (+0.5°C)
  • September: +1.3°F (+0.7°C)
  • October: +2.2°F (+1.2°C)
  • November: +2.2°F (+1.2°C)
  • December: +2.2°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.