Bangladesh
Across 34 destinations in Bangladesh, the warmest is Rajshahi at 35 °C in Apr, the coolest is Sylhet at 30 °C, and annual rainfall ranges from 1,604 mm in Rajshahi to 4,885 mm in Sylhet. Figures are 1991–2020 climate normals.
34 destinations with full climate records · 99 awaiting data
The rangeHow much Bangladesh varies
Climate varies across Bangladesh. At the warmest month of the year, Rajshahi averages 35 °C by day while Sylhet reaches 30 °C — a difference of 4.2 °C between two places in the same country.
Rainfall separates them more than temperature does: Sylhet averages 4,885 mm a year against 1,604 mm in Rajshahi.
DestinationsThe year in each of the largest
All of themEvery destination with a full record
| Destination | Warmest month | Peak avg high | Annual rainfall |
|---|---|---|---|
| Dhaka | Apr | 33 °C | 1,988 mm |
| Chattogram | Apr | 31 °C | 2,608 mm |
| Gazipur | Apr | 33 °C | 2,121 mm |
| Khulna | Apr | 34 °C | 1,762 mm |
| Rangpur | Apr | 32 °C | 2,443 mm |
| Rajshahi | Apr | 35 °C | 1,604 mm |
| Comilla | Apr | 32 °C | 2,128 mm |
| Mohammadpur | Apr | 34 °C | 1,765 mm |
| Hāthazāri | Apr | 31 °C | 2,622 mm |
| Bāndarban | Apr | 34 °C | 2,072 mm |
| Shibganj | Apr | 33 °C | 2,050 mm |
| Natore | Apr | 34 °C | 1,864 mm |
| Kafrul | Apr | 33 °C | 1,912 mm |
| Narsingdi | Apr | 32 °C | 2,196 mm |
| Nagar Naluākot | Apr | 32 °C | 2,317 mm |
| Bagerhat | Apr | 34 °C | 1,847 mm |
| Brāhmanbāria | Apr | 32 °C | 2,228 mm |
| Cox’s Bāzār | Apr | 31 °C | 2,645 mm |
| Jessore | Apr | 35 °C | 1,745 mm |
| Nāgarpur | Apr | 33 °C | 2,023 mm |
| Sylhet | Aug | 30 °C | 4,885 mm |
| Mymensingh | Apr | 31 °C | 2,749 mm |
| Narayanganj | Apr | 32 °C | 1,962 mm |
| Bogra | Apr | 33 °C | 1,996 mm |
| Dinajpur | Apr | 33 °C | 2,238 mm |
| Karnaphuli | Apr | 33 °C | 1,929 mm |
| Chāndpur | Apr | 32 °C | 1,975 mm |
| Barishal | Apr | 33 °C | 1,964 mm |
| Saidpur | Apr | 32 °C | 2,361 mm |
| Pār Naogaon | Apr | 34 °C | 1,880 mm |
| Pābna | Apr | 34 °C | 1,834 mm |
| Tangail | Apr | 33 °C | 1,988 mm |
| Jamālpur | Apr | 32 °C | 2,320 mm |
| Puthia | Apr | 34 °C | 1,683 mm |
Awaiting climate data
These destinations are in our database but do not yet have complete 30-year records, so they have no page yet.
- Nawābganj
- Kushtia
- Maijdi
- Sonārgaon
- Sātkhira
- Sirajganj
- Tungipara
- Farīdpur
- Sherpur
- Rangamati
- Bhairab Bāzār
- Shāhzādpur
- Bhola
- Azimpur
- Kishorganj
- Bibir Hat
- Habiganj
- Madaripur
- Feni
- Lākshām
- Ishwardi
- Sarishābāri
- Netrakona
- Sunāmganj
- Joypur Hāt
- Mānikganj
- Thākurgaon
- Pālang
- Lalmonirhat
- Patuakhali
- Rāipur
- Lakshmīpur
- Maulavi Bāzār
- Rāmganj
- Narail
- Pirojpur
- Sandwīp
- Sātkania
- Patiya
- Gopālganj
- Khagrachhari
- Chilmāri
- Nageswari
- Panchagarh
- Uttar Char Fasson
- Parbatipur
- Burhānuddin
- Kālīganj
- Dohār
- Hājīganj
- Bhanga
- Bhātpāra Abhaynagar
- Lālmohan
- Jhingergācha
- Mirzāpur
- Sakhipur
- Teknāf
- Gaurnadi
- Kālia
- Dohazāri
- Bera
- Mehendiganj
- Chhāgalnāiya
- Chhātak
- Nālchiti
- Bherāmāra
- Phultala
- Dukuria
- Baniachang
- Sarankhola
- Shibganj
- Pīrgaaj
- Bājitpur
- Char Bhadrāsan
- Mātuail
- Gafargaon
- Badarganj
- Nabīnagar
- Morrelgonj
- Kesabpur
- Bhāndāria
- Mathba
- Shāhbāzpur Town
- Burirchar
- Raojān
- Manikchari
- Muktāgācha
- Taluker Char Doani
- Srimangal
- Ayla Patakata
- Natona
- Charāmaddi
- Phuljhuri
- Singārbīl
- Nachnapāra
- Nawāb Char
- Green Model Town
- Samonta Bazar
- Nalua
Data sources and method
- ERA5 / ERA5-Land reanalysis — Copernicus Climate Change Service (C3S), ECMWF. Copernicus Licence
- Open-Meteo — Open-Meteo.com. CC BY 4.0
- NOAA OISST v2.1 — NOAA Physical Sciences Laboratory. Public domain
- GeoNames — GeoNames.org. CC BY 4.0
- Normal period
- 1991–2020
- Dataset version
- era5-1991-2020-scores1.1
- Last processed
Measured values come from ERA5 reanalysis and are reproduced unchanged. Calculated by us: warmest month, annual rainfall total. Full formulas are on the methodology page.
Contains modified Copernicus Climate Change Service information 2026. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.