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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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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

Upazilas (7)

Manikganj Sadar Singair Shibalaya Saturia Harirampur Ghior Daulatpur