ClimateSearch

Mailsi, Punjab

Pakistan · 125k people · 133 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 high68°F (20°C)74°F (23°C)84°F (29°C)96°F (36°C)105°F (40°C)105°F (41°C)101°F (38°C)99°F (37°C)98°F (36°C)92°F (34°C)82°F (28°C)73°F (23°C)
Average low46°F (8°C)50°F (10°C)60°F (15°C)70°F (21°C)79°F (26°C)85°F (30°C)86°F (30°C)84°F (29°C)80°F (26°C)69°F (21°C)58°F (14°C)49°F (9°C)
Dew point43°F (6°C)46°F (8°C)51°F (11°C)52°F (11°C)55°F (13°C)66°F (19°C)74°F (23°C)73°F (23°C)69°F (20°C)57°F (14°C)51°F (10°C)45°F (7°C)
Rainfall0.3 in (8 mm)0.5 in (12 mm)0.5 in (13 mm)0.4 in (10 mm)0.4 in (11 mm)1 in (25 mm)2 in (52 mm)2 in (51 mm)1.2 in (31 mm)0.3 in (8 mm)0.1 in (3 mm)0.2 in (5 mm)
Rainy days233235984111
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)
Sunshine294 h292 h336 h354 h385 h374 h360 h351 h343 h329 h296 h300 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 +1.3°F (+0.7°C) to +1.7°F (+1.0°C)

Days above 90°F (32°C) a year

201 206

Roughly unchanged

Warming by month
  • January: +1.3°F (+0.7°C)
  • February: +1.3°F (+0.7°C)
  • March: +0.9°F (+0.5°C)
  • April: +0.2°F (+0.1°C)
  • May: +1.2°F (+0.7°C)
  • June: +1.3°F (+0.7°C)
  • July: +2.2°F (+1.2°C)
  • August: +1.0°F (+0.5°C)
  • September: −0.3°F (−0.2°C)
  • October: −0.5°F (−0.3°C)
  • November: +0.8°F (+0.5°C)
  • December: +1.5°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.