Multi-Hazard District Exposure Atlas

How many people and how much farmland sit in each district's flood, low-elevation, surface-heat and air-pollution exposure, built from primary remote-sensing layers and population-weighted with WorldPop. Switch the map layer with the dropdown.

82,403,842
in the 100-year floodplain (58.4%)
42,947,856
below 5 m elevation (30.4%)
71.6
national PM2.5, µg/m³ (WHO = 5)
4,656,769
ha cropland in 100-yr floodplain

Most exposed districts

DistrictDivision Rank /100 Flood % <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

Sources and method

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), accessed via the Open Earth Engine community catalogue and the basis of the State of Global Air annual reports, ~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).

The combined exposure rank is the mean of each district's within-country percentile rank across the four hazards (equal weights, no hidden weighting). It is a relative ranking across the 64 districts, not an absolute risk score. Surface temperature is reported as a heat-intensity layer, not a clinical heat index.