GovTwin / Institution
Manikganj District
Local Gov
A central-Bangladesh district on the Padma-Jamuna confluence floodplain, Manikganj is dominated by agriculture and riverine livelihoods within commuting reach of greater Dhaka. Its economy combines char-land farming and vegetable cultivation with the pull of metropolitan labour markets, leaving it materially poor despite its proximity to the capital.
Wealth rank 55/64
(1 = poorest district)
Warming +0.59°C
(1980s–2020s)
Air NO₂ #10/64
(1 = most polluted)
Night-lights +76%
(2014–23 activity)
Built-up 28 km²
Forest loss 29 ha
(2001–23)
Rainfall 1,914 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 Persistent low relative wealth, with the district sitting among the poorer half of the country (national rank 55 of 64 on mean Relative Wealth Index, where 1 = poorest). So what: Low household wealth so close to Dhaka signals that proximity to the capital is not translating into local prosperity, calling for targeted livelihood and asset-building support. Source: Meta Data for Good Relative Wealth Index (HDX), ~2.4 km grid
- climate disaster High annual rainfall (1914 mm) on a low confluence floodplain exposes char and riverbank communities to recurrent monsoon flooding and erosion. So what: Flood and erosion losses repeatedly destroy crops, homes and the limited assets of riverbank households, deepening poverty cycles. Source: CHIRPS v2.0 precipitation (UCSB Climate Hazards Group) via Google Earth Engine
- air quality Elevated tropospheric NO2 (54.2 umol/m2), ranking 10th most NO2-polluted of 64 districts, reflecting traffic and combustion exposure on the Dhaka-bound corridor. So what: High NO2 so far up the national ranking raises respiratory-health risks and warrants emissions and traffic management rather than being dismissed as a rural district. Source: Sentinel-5P tropospheric NO2 via Google Earth Engine
- urbanization Built-up surface has expanded 62% since 2000 to 28.0 km2, encroaching on prime floodplain farmland. So what: Unplanned built-up growth on fertile, flood-prone land erodes agricultural capacity and raises future flood-damage exposure. Source: GHSL built-up surface (JRC) via Google Earth Engine
- water Extensive permanent surface water (112.8 km2) from the Padma-Jamuna system drives active channel migration and bank erosion. So what: Shifting river channels swallow settlements and farmland, displacing char dwellers and demanding sustained erosion-control investment. Source: JRC Global Surface Water (permanent water) via Google Earth Engine
Probable solutions
- Riverbank protection and char-land erosion control (revetments, geo-bag works, dredging) along the Padma-Jamuna confluence reaches. Responsible: Bangladesh Water Development Board · policy proposal
- Char-focused livelihood and asset-transfer programming to build resilient incomes for riverbank households. Responsible: Department of Disaster Management · policy proposal
- Enforce floodplain land-use zoning to steer built-up expansion away from prime farmland and flood-risk zones. Responsible: Local Government Engineering Department (LGED) · policy proposal
- Traffic-emissions and vehicle-inspection controls along the Dhaka-bound highway corridor. Responsible: Department of Environment · policy proposal