GovTwin / Institution
Patuakhali District
Local Gov
A southern coastal district on the Bay of Bengal, defined by estuaries, char lands and a remnant mangrove fringe, with rice, fisheries and the emerging Payra port-and-power zone as economic drivers. It is one of the poorest districts in the country yet posts the single fastest nighttime-economy growth nationally, even as it faces the highest rainfall and severe coastal climate exposure.
Wealth rank 4/64
(1 = poorest district)
Warming +0.46°C
(1980s–2020s)
Air NO₂ #49/64
(1 = most polluted)
Night-lights +318%
(2014–23 activity)
Built-up 22 km²
Forest loss 70 ha
(2001–23)
Rainfall 2,737 mm/yr
Indicators: Meta RWI (HDX); ERA5-Land; MODIS; Sentinel-5P; VIIRS night-lights; GHSL; Hansen v1.11; CHIRPS v2.0. Exposure: GloFAS v2.1, FABDEM, MODIS LST, ACAG PM2.5, WorldPop 2020.
Problems and issues
- poverty Mean Relative Wealth Index of -0.316 ranks the district 4th poorest of all 64, far below the national average and reflecting deep deprivation across its char and coastal communities. So what: Among the country's poorest districts, residents have the least buffer against the frequent cyclones and surges they face. Source: Meta Data for Good Relative Wealth Index (HDX), ~2.4 km grid
- climate disaster The highest rainfall among the assigned districts at 2737 mm, 208.0 km2 of permanent surface water and an exposed Bay of Bengal coastline leave the district acutely vulnerable to cyclones, storm surge, flooding and salinity intrusion. So what: Compounding coastal hazards repeatedly destroy crops, homes and fishing assets in an already-poor district. Source: CHIRPS v2.0 precipitation (UCSB Climate Hazards Group) via Google Earth Engine
- environment Only 4.8 km2 of mangrove remained in 2000 and forest loss of 70.1 ha over 2001-23 has further thinned the coastal green belt that shields communities from surge. So what: A depleted mangrove buffer removes the cheapest natural defence against the storm surge the coast is most exposed to. Source: Global Mangrove Watch (2000) via Google Earth Engine
- economy Nighttime lights grew 318%, the single fastest of all 64 districts, driven by the Payra port-and-power buildout, yet built-up infrastructure (21.9 km2) and household wealth lag far behind this concentrated industrial surge. So what: Boomtown energy growth around Payra risks bypassing the surrounding poor population unless linkages are built. Source: VIIRS nighttime lights (annual radiance) via Google Earth Engine
- water With 208.0 km2 of permanent surface water in a tidal coastal setting, dry-season salinity intrusion into channels and groundwater threatens drinking water and irrigation across the district. So what: Rising salinity undermines safe drinking water and the rice economy in an already-impoverished coast. Source: JRC Global Surface Water (permanent water) via Google Earth Engine
Probable solutions
- Scale social protection, cyclone-resilient housing and shelter coverage targeted to the poorest char and coastal unions. Responsible: Department of Disaster Management · policy proposal
- Expand coastal mangrove and green-belt afforestation along the Bay-facing fringe to rebuild surge defences. Responsible: Bangladesh Forest Department · policy proposal
- Build local-content, skills and supply-chain linkages from the Payra port-and-power zone to surrounding communities so growth reaches the resident poor. Responsible: Bangladesh Economic Zones Authority (BEZA) · policy proposal
- Deploy salinity-resilient water supply (managed aquifer recharge, rainwater harvesting, pond-sand filters) and saline-tolerant rice varieties. Responsible: Department of Public Health Engineering (DPHE) · policy proposal