GovTwin / Institution

Brahmanbaria District

Local Gov

A densely populated, low-lying plains district on the Titas and Meghna floodplain, with an economy of intensive paddy, gas-field industry, remittances and brisk trade along the Dhaka-Chattogram and Akhaura border corridors. Unlike the hill districts, it is relatively better off by wealth index but faces acute air pollution and built-up congestion.

Wealth rank 53/64 (1 = poorest district) Warming +0.75°C (1980s–2020s) Air NO₂ #11/64 (1 = most polluted) Night-lights +38% (2014–23 activity) Built-up 51 km² Forest loss 206 ha (2001–23) Rainfall 2,225 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. air quality Severe nitrogen-dioxide pollution: recent tropospheric NO2 of 50.0 umol/m2 ranks 11th-highest of 64 districts, reflecting heavy road traffic, brick kilns and gas-based industry on the corridor. So what: High NO2 raises respiratory and cardiovascular disease burden in a crowded district, so emissions from transport and kilns are a direct public-health liability. Source: Sentinel-5P tropospheric NO2 via Google Earth Engine
  2. air quality High aerosol loading with recent aerosol optical depth of 0.504, indicating dense particulate haze from brick kilns, dust and combustion across the populated plain. So what: Persistent particulate haze compounds the NO2 burden and reduces visibility and crop-relevant sunlight, reinforcing the case for kiln and dust controls. Source: MODIS MAIAC aerosol optical depth (550 nm) via Google Earth Engine
  3. economy Economic-activity growth has stalled: nightlights grew only 38%, the slowest of all 64 districts (rank 64), despite the district's corridor location and gas resources. So what: The weakest lit-activity growth in the country signals stagnating local enterprise and jobs, a warning that corridor advantages are not translating into broad-based growth. Source: VIIRS nighttime lights (annual radiance) via Google Earth Engine
  4. climate disaster Substantial monsoon rainfall of 2,225 mm on flat, low-lying Titas-Meghna floodplain land, exposing dense settlements and paddy to seasonal river flooding and waterlogging. So what: Floodplain inundation threatens the district's intensive rice base and crowded settlements, so drainage and flood management protect both food output and homes. Source: CHIRPS v2.0 precipitation (UCSB Climate Hazards Group) via Google Earth Engine
  5. urbanization The largest built-up footprint of these districts at 51.2 km2, concentrated in a densely populated plain, straining roads, drainage and services even with modest 28% built-up growth since 2000. So what: High settlement density without commensurate infrastructure feeds congestion, waterlogging and the emissions behind the district's air-quality problem. Source: GHSL built-up surface (JRC) via Google Earth Engine

Probable solutions

Upazilas (10)

Brahmanbaria Sadar Ashuganj Nasirnagar Nabinagar Sarail Shahbazpur Town Kasba Akhaura Bancharampur Bijoynagar