Climate normals · 1970–2000
Nay Pyi Taw Climate
Nay Pyi Taw is a city in Myanmar (18) with a population of about 925,000. Its average annual temperature is 26.8°C (80°F), with roughly 1240 mm of rain per year.
26.8°C
Avg Temp
1240
Precip (mm/yr)
Apr
Hottest Month
Jan
Coldest Month
Nay Pyi Taw Climate
Nay Pyi Taw has an average annual temperature of 26.8°C (80°F) and receives about 1240 mm of precipitation per year. The warmest month is April and the coldest is January. Figures are 1970–2000 climate normals.
26.8°C
Avg Temp
1240
Precip (mm/yr)
Apr
Hottest Month
Jan
Coldest Month
| Month | Avg (°C/°F) | Precip |
|---|---|---|
| January | 22° / 72° | 3 mm |
| February | 24° / 76° | 2 mm |
| March | 28° / 83° | 7 mm |
| April | 31° / 88° | 40 mm |
| May | 30° / 86° | 143 mm |
| June | 28° / 82° | 198 mm |
| July | 27° / 81° | 203 mm |
| August | 27° / 81° | 260 mm |
| September | 28° / 82° | 206 mm |
| October | 28° / 82° | 128 mm |
| November | 26° / 78° | 42 mm |
| December | 22° / 72° | 8 mm |
1970–2000 normals from WorldClim 2.1 (~9 km grid). Precipitation can be less precise near mountains or coastlines, where rainfall varies sharply over short distances.
Best time to visit Nay Pyi Taw
The most comfortable months to visit Nay Pyi Taw are typically January, December and February, when temperatures are mildest and rainfall is relatively low. The hottest month is April (around 38°C high). The coldest is January (near 14°C low). August is usually the wettest month.
Where to stay near Nay Pyi Taw
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Frequently Asked Questions
The most comfortable months to visit Nay Pyi Taw are typically January, December and February, when temperatures are mildest and rainfall is relatively low (1970–2000 climate normals).
Nay Pyi Taw, Myanmar has an average annual temperature of 26.8°C and about 1240 mm of precipitation per year. The warmest month is April and the coldest is January.
In April, the hottest month, daily highs in Nay Pyi Taw average about 38°C (100°F).
Monthly climate normals (1970–2000) sampled from WorldClim 2.1 at ~9 km resolution. Humidity derived from vapor pressure. City coordinates and population from GeoNames.