Dhaka
First-level unit, Bangladesh: people, area, the units inside and neighbours, with risk values when released.
Inside Dhaka
The 13 ADM2 units of Dhaka.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
51,818,560
29.9% of Bangladesh.
48,262,563
-7% against GHSL; the two grids differ in method.
20,973 km²
2,471 people per km².
BD-C
Subdivision code as carried by the boundary source.
27,730,414
people on land at or below 10 m, 53.5% of the unit (GEBCO 2024 and GHSL 2025).
Dhaka in humanitarian data
Source observations from the Humanitarian Data Exchange, matched to this unit by name, each with its reference date, provider and licence. They are not index values.
47,312,914
people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
10.6%
of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
24%
of the long-term average, latest dekad. WFP – World Food Programme · Creative Commons Attribution International (CC BY).
13 units inside Dhaka
Each unit has its own page.
Boundary licences: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)
| Unit | કોડ | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Dhaka | – | 18,699,609 | 15,168,113 | 1,479.01 | 12,643 | 36.4% | 9,196,418 |
| Faridpur | – | 2,359,842 | 2,333,470 | 2,049.59 | 1,151 | 4.6% | 1,860,839 |
| Gazipur | – | 6,553,782 | 6,394,480 | 1,821.14 | 3,599 | 12.8% | 1,273,952 |
| Gopalganj | – | 1,274,817 | 1,256,309 | 1,479.16 | 862 | 2.5% | 1,253,186 |
| Kishoreganj | – | 3,473,122 | 3,308,437 | 2,569.9 | 1,351 | 6.8% | 1,932,806 |
| Madaripur | – | 1,445,955 | 1,427,424 | 1,137.94 | 1,271 | 2.8% | 1,428,952 |
| Manikganj | – | 1,789,047 | 1,954,619 | 1,377.48 | 1,299 | 3.5% | 1,093,635 |
| Munshiganj | – | 1,384,454 | 1,677,912 | 934.42 | 1,482 | 2.7% | 1,310,585 |
| Narayanganj | – | 4,558,098 | 4,354,513 | 706.08 | 6,455 | 8.9% | 4,349,894 |
| Narsingdi | – | 2,850,618 | 2,828,760 | 1,170.02 | 2,436 | 5.5% | 1,677,228 |
| Rajbari | – | 1,264,286 | 1,276,055 | 1,141.67 | 1,107 | 2.5% | 419,643 |
| Shariatpur | – | 1,350,071 | 1,300,858 | 1,188.64 | 1,136 | 2.6% | 1,192,122 |
| Tangail | – | 4,358,985 | 4,402,825 | 3,373.52 | 1,292 | 8.5% | 467,953 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 682.8 H3 cells
- Ports
- None at this resolution
- Airports
- 1 H3 cells
- Major roads
- 275 H3 cells
- Railways
- 165.2 H3 cells
- Rivers and lakes
- 371.5 H3 cells
Risk values
Neighbouring units
- BD-BChittagong
- BD-HMymensingh
- BD-ERajshani
- BD-GSylhet
- BD-DKhulna
- BD-ABarisal
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen BGD ADM1, source: geoBoundaries, Wikimedia Commons, licence: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication · source · represents 2015
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen BGD ADM2, source: Bangladesh Bureau of Statistics (BBS), OCHA ROAP, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
- ADM3 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen BGD ADM3, source: Bangladesh Bureau of Statistics (BBS), OCHA ROAP, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
- ADM4 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen BGD ADM4, source: Bangladesh Bureau of Statistics, OCHA ROAP, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
- Basemap
- OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
- Terrain
- Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- દેશો
- Natural Earth (public domain).
- Elevation
- GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
સ્થિતિ
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La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.