GovTwin / Institution
Panchagarh District
Local Gov
Bangladesh's northernmost district, a cool, tea-growing upland near the Himalayan foothills bounded on three sides by India. Despite a greening landscape and growing tea economy, it is among the poorest districts in the country and faces notable air-quality and deforestation pressures.
Wealth rank 8/64
(1 = poorest district)
Warming +0.2°C
(1980s–2020s)
Air NO₂ #52/64
(1 = most polluted)
Night-lights +92%
(2014–23 activity)
Built-up 21 km²
Forest loss 461 ha
(2001–23)
Rainfall 2,833 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 The poorest of these four districts and among the poorest nationally, ranking 8th of 64 by mean Relative Wealth Index. So what: Severe deprivation in a remote border district limits local demand and keeps households dependent on low-wage tea and farm labour. Source: Meta Data for Good Relative Wealth Index (HDX), ~2.4 km grid
- air quality Aerosol pollution is among the worst in the country, ranking 6th-worst of 64 districts in aerosol optical depth (0.731), the highest of these four. So what: Heavy particulate haze imposes respiratory-health costs on a remote population with limited specialist healthcare. Source: MODIS MAIAC aerosol optical depth (550 nm) via Google Earth Engine
- environment Forest loss of about 461 ha over 2001-23 is by far the highest of these four districts, reflecting clearing in the foothill and tea-frontier landscape. So what: Losing foothill tree cover undermines watershed stability and biodiversity in the country's most ecologically distinctive northern zone. Source: Hansen Global Forest Change v1.11 (UMD) via Google Earth Engine
- climate disaster Very high monsoon rainfall (2,833 mm/yr) with negligible permanent surface water (0.2 km2) produces flashy runoff and flash flooding from the Himalayan foothill drainage. So what: Rapid foothill runoff brings sudden flash floods rather than slow inundation, complicating warning and protection of crops and homes. Source: CHIRPS v2.0 precipitation (UCSB Climate Hazards Group) via Google Earth Engine
- urbanization Built-up surface has grown about 115% since 2000 to 21.4 km2, expanding settlement in a remote district with limited urban services. So what: Service and planning capacity lag rapid settlement growth, straining water, sanitation and roads in growing towns. Source: GHSL built-up surface (JRC) via Google Earth Engine
Probable solutions
- Strengthened smallholder tea value chains and fair-pricing support to raise grower incomes in the country's northern tea belt. Responsible: Bangladesh Tea Board · policy proposal
- Dry-season dust and biomass-burning controls and air-quality monitoring to reduce the district's high aerosol burden. Responsible: Department of Environment · policy proposal
- Foothill afforestation and protection of remaining tree cover to halt the district's outsized forest loss and stabilise watersheds. Responsible: Bangladesh Forest Department · policy proposal
- Flash-flood early warning and small-scale drainage works tuned to the rapid foothill runoff regime. Responsible: Department of Disaster Management · policy proposal