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GovTwin · Geospatial exposure
In 100-year floodplain
82,403,842
58.4% of population
Below 5 m elevation
42,947,856
30.4% of population
National PM2.5
71.6
µg/m³ (WHO = 5)
Cropland at flood risk
4,656,769
ha in 100-yr floodplain
Most exposed districts
Each district’s exposure across the four hazard layers. The combined rank is the mean within-country percentile across all four (equal weights, no hidden weighting), a relative ranking across the 64 districts rather than an absolute risk score. Switch the ranking layer to re-sort. The same values drive the choropleth above.
Rank by layer
Sorted by Combined rank: mean within-country percentile across the four layers.
| District | Division | Rank /100 | Flood % | Below 5 m % | Day LST °C | PM2.5 µg/m³ |
|---|---|---|---|---|---|---|
| Dhaka | Dhaka | 97 | 45 | 27 | 33.7 | 81.5 |
| Narayanganj | Dhaka | 95 | 91 | 80 | 32.3 | 82.1 |
| Chittagong | Chittagong | 91 | 22 | 43 | 32.4 | 84.4 |
| Noakhali | Chittagong | 82 | 84 | 83 | 29.9 | 85.3 |
| Comilla | Chittagong | 80 | 76 | 42 | 30.2 | 77.0 |
| Gazipur | Dhaka | 76 | 27 | 14 | 31.8 | 80.4 |
| Munshiganj | Dhaka | 75 | 94 | 84 | 30.9 | 82.8 |
| Chandpur | Chittagong | 74 | 93 | 94 | 29.2 | 81.7 |
| Brahamanbaria | Chittagong | 72 | 84 | 59 | 29.9 | 75.4 |
| Lakshmipur | Chittagong | 71 | 97 | 83 | 29.4 | 84.6 |
| Barisal | Barisal | 71 | 96 | 96 | 30.0 | 74.7 |
| Faridpur | Dhaka | 69 | 91 | 33 | 31.6 | 75.4 |
| Bhola | Barisal | 69 | 90 | 96 | 29.6 | 81.7 |
| Khulna | Khulna | 68 | 44 | 88 | 31.7 | 75.2 |
| Patuakhali | Barisal | 67 | 86 | 99 | 31.3 | 74.3 |
Flood: GloFAS v2.1 100-year river-flood hazard (JRC/Copernicus, ~1 km), population inside the modelled extent. Coastal: FABDEM bare-earth elevation (30 m), population below 5 m. Heat: MODIS MOD11A2 land-surface temperature (NASA, 1 km), warm-season (March to May) 2020 to 2024 mean, population-weighted. Air: satellite-derived surface PM2.5 from van Donkelaar et al. (ACAG, Washington University), ~1 km, 2020 to 2022 mean, population-weighted. Population: WorldPop 2020 (100 m), summed within district polygons; the WorldPop 2020 national total is about 141 million, roughly 14 percent below the 2022 census count of 165.2 million because the 2020 grid is an unadjusted model, so the percentages are shares of WorldPop-modelled population, not of the census total. Boundaries: FAO GAUL 2015 (ADM2). Source: BDPolicyLab multi-hazard district exposure dataset.
Source: GloFAS v2.1, FABDEM, MODIS MOD11A2, ACAG PM2.5, and WorldPop 2020As of Layer vintages stated in method