GovTwin / Institution

Netrokona District

Local Gov

A haor-dominated district in the northeastern lowlands where wetlands, single-crop boro paddy and flash-flood risk shape life. It is the poorest district in this cluster and faces the sharpest warming, even as its night-time economy grows fastest.

Wealth rank 13/64 (1 = poorest district) Warming +0.81°C (1980s–2020s) Air NO₂ #57/64 (1 = most polluted) Night-lights +155% (2014–23 activity) Built-up 40 km² Forest loss 215 ha (2001–23) Rainfall 2,894 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 Deep household poverty (mean Relative Wealth Index -0.18), the poorest in this cluster and ranking 13th-poorest of 64 districts So what: Haor isolation and single-season agriculture lock households into among the lowest wealth levels in the country. Source: Meta Data for Good Relative Wealth Index (HDX), ~2.4 km grid
  2. climate disaster Very high annual rainfall of 2894 mm, the highest in the cluster, feeding pre-monsoon flash floods across the haor basin So what: Early flash floods can wipe out the single boro rice harvest before it is cut, the defining food-security shock of the haor. Source: CHIRPS v2.0 precipitation (UCSB Climate Hazards Group) via Google Earth Engine
  3. agriculture Lowest vegetation greenness in the cluster (NDVI 0.461), consistent with seasonally inundated single-crop haor land So what: Dependence on one flood-exposed boro crop leaves farm incomes with no buffer when the harvest fails. Source: MODIS MOD13A1 NDVI via Google Earth Engine
  4. environment Air temperature has warmed 0.81 C, the steepest warming in the cluster So what: Faster warming intensifies pre-monsoon weather extremes and heat stress on haor agriculture and fisheries. Source: ERA5-Land reanalysis (Copernicus/ECMWF) via Google Earth Engine, district mean
  5. infrastructure Haor geography leaves villages seasonally cut off, with limited all-weather roads and submersible embankment protection So what: Isolation raises the cost of markets, health care and emergency response for already poor wetland communities. Source: Local Government Engineering Department (LGED)

Probable solutions

Upazilas (10)

Kendua Atpara Barhatta Durgapur Kalmakanda Madan Mohanganj Netrakona-S Purbadhala Khaliajuri