GovTwin / Institution
Gazipur District
Local Gov
An industrial district immediately north of the capital, the heartland of Bangladesh's ready-made garment and manufacturing belt, with rapid built-up expansion onto former forest and farmland. It is relatively wealthy but carries the country's second-highest NO2 burden and almost no surface water.
Wealth rank 62/64
(1 = poorest district)
Warming +0.63°C
(1980s–2020s)
Air NO₂ #2/64
(1 = most polluted)
Night-lights +66%
(2014–23 activity)
Built-up 86 km²
Forest loss 1,364 ha
(2001–23)
Rainfall 2,028 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
- air quality Tropospheric NO2 reaches 131.4 umol/m2, the 2nd-highest of 64 districts, the highest of the four assigned, driven by dense garment factories, industry, and the Dhaka-Tangail corridor traffic. So what: Industrial-scale NO2 in a district packed with factory workers creates a heavy occupational and community respiratory-health burden largely borne by low-wage migrants. Source: Sentinel-5P tropospheric NO2 via Google Earth Engine
- water Permanent surface water covers just 0.7 km2, by far the lowest of the four districts, leaving virtually no natural water bodies amid heavy industrial water use. So what: With almost no surface water buffer, the district relies on groundwater abstraction and discharges effluent into fragile channels, raising depletion and pollution risk. Source: JRC Global Surface Water (permanent water) via Google Earth Engine
- environment Forest loss of 1364.1 ha over 2001-2023 reflects the conversion of the Bhawal sal forest to factories and housing, against 160.3 km2 of remaining tree cover. So what: Loss of the Bhawal forest removes a green lung next to the capital and erases recreational and ecological land as industry advances. Source: Hansen Global Forest Change v1.11 (UMD) via Google Earth Engine
- urbanization Built-up surface grew 57% since 2000 to 86.4 km2, a large industrial footprint expanding onto forest and farmland in the manufacturing belt. So what: Unplanned factory and settlement sprawl strains housing, drainage, and services for a fast-growing worker population. Source: GHSL built-up surface (JRC) via Google Earth Engine
- climate disaster Air temperature has warmed 0.63 C, the highest of the four districts, and daytime surface heat is trending up 0.21 C, compounding industrial heat in a built-out district. So what: Heat stress in crowded factory floors and worker housing raises health risk and lowers productivity for the garment workforce. Source: ERA5-Land reanalysis (Copernicus/ECMWF) via Google Earth Engine, district mean
Probable solutions
- Tighten industrial emission monitoring and enforcement on the garment and manufacturing belt, with corridor traffic management to cut NO2. Responsible: Department of Environment · policy proposal
- Mandate effluent treatment plants and water recycling in industrial estates, and regulate groundwater abstraction to protect the depleted aquifer. Responsible: Department of Environment · policy proposal
- Protect the remaining Bhawal sal forest and channel industrial growth into planned, serviced economic zones rather than greenfield conversion. Responsible: Bangladesh Forest Department · policy proposal
- Enforce factory heat-safety standards, ventilation, and worker-housing cooling to mitigate heat stress in the manufacturing workforce. Responsible: Department of Inspection for Factories and Establishments · policy proposal