ClimateSearch

Lashio, Shan State

Myanmar · 131k people · 851 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 high72°F (22°C)77°F (25°C)84°F (29°C)87°F (30°C)84°F (29°C)81°F (27°C)79°F (26°C)79°F (26°C)79°F (26°C)77°F (25°C)74°F (23°C)71°F (22°C)
Average low47°F (9°C)50°F (10°C)57°F (14°C)63°F (17°C)67°F (19°C)69°F (21°C)69°F (21°C)68°F (20°C)67°F (20°C)64°F (18°C)56°F (14°C)50°F (10°C)
Dew point47°F (9°C)46°F (8°C)47°F (8°C)56°F (13°C)65°F (18°C)69°F (21°C)69°F (21°C)70°F (21°C)69°F (21°C)66°F (19°C)58°F (15°C)51°F (11°C)
Rainfall0.6 in (15 mm)0.4 in (9 mm)0.4 in (11 mm)1.4 in (36 mm)6 in (153 mm)9.5 in (241 mm)13.4 in (341 mm)15.6 in (395 mm)11.4 in (290 mm)6.1 in (155 mm)1.8 in (47 mm)0.5 in (12 mm)
Rainy days212819272930261962
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)
Sunshine323 h304 h341 h355 h333 h258 h215 h225 h251 h284 h292 h312 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 +1.0°F (+0.6°C) to +1.9°F (+1.0°C)

Days above 90°F (32°C) a year

13 18

About 1.4× as many

Warming by month
  • January: +1.7°F (+1.0°C)
  • February: +1.1°F (+0.6°C)
  • March: +0.6°F (+0.3°C)
  • April: +1.3°F (+0.7°C)
  • May: +2.1°F (+1.2°C)
  • June: +2.2°F (+1.2°C)
  • July: +1.2°F (+0.7°C)
  • August: +1.0°F (+0.6°C)
  • September: +1.3°F (+0.7°C)
  • October: +1.3°F (+0.7°C)
  • November: +0.8°F (+0.4°C)
  • December: +1.1°F (+0.6°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.