Best Time to Visit Dhaka
The best time to visit Dhaka is November to March, when the average temperature is 18–27°C and rainfall is low for Dhaka, at 10–54 mm a month.
Dhaka weather by month
The wettest month in Dhaka is July with 404 mm of rain, and the warmest is April at an average 30°C. The coolest is January at 18°C.
| Month | Average temperature | Rainfall | Verdict |
|---|---|---|---|
| January | 18°C / 64°F | 10 mm | Best |
| February | 22°C / 71°F | 21 mm | Best |
| March | 27°C / 80°F | 54 mm | Best |
| April | 30°C / 85°F | 176 mm | Wet |
| May | 30°C / 85°F | 310 mm | Wet |
| June | 29°C / 84°F | 387 mm | Wet |
| July | 28°C / 83°F | 404 mm | Wet |
| August | 28°C / 83°F | 327 mm | Wet |
| September | 28°C / 82°F | 271 mm | Wet |
| October | 26°C / 79°F | 176 mm | Wet |
| November | 23°C / 73°F | 31 mm | Best |
| December | 19°C / 66°F | 16 mm | Best |
How we pick the best months
- Best: an average temperature of 15–28°C and low rainfall for Dhaka: under 150 mm, and no more than 220 mm, a quarter above Dhaka's median month (never set below 60 mm).
- If no month qualifies, we show the three driest months that average 10–30°C instead.
- Wet: 150 mm of rain or more. Rainy: more than 220 mm. Hot: 29°C or more on average. Cool: under 15°C. Cold: under 5°C.
Averages cover day and night, so afternoons are warmer than the figure shown. Weather is only one reason to pick a month: school holidays, festivals and prices matter too.
Search flights to Dhaka
Picked a month? Compare fares to Dhaka (DAC) for your dates.
Book a hotel in Dhaka
Find hotels in Dhaka
Hotels, hostels & more · Trip.com
Where these numbers come from
Monthly averages for January 2001 – December 2020 from the NASA POWER project, for the area around Hazrat Shahjalal International (DAC) at 23.84, 90.40. The model covers a grid about 50 km across, so a coastal or hilly spot can run a degree or two different. Retrieved 12 September 2026.
The data was obtained from the National Aeronautics and Space Administration (NASA) Langley Research Center (LaRC) Prediction of Worldwide Energy Resource (POWER) Project funded through the NASA Earth Science/Applied Science Program.