GovTwin / Institution

Naogaon District

Local Gov

A landlocked, agriculture-dependent district on the northwest Barind tract, one of the poorest in Bangladesh by relative wealth. It is a major rice surplus producer but carries little surface water and severe seasonal aerosol pollution.

Wealth rank 12/64 (1 = poorest district) Warming +0.44°C (1980s–2020s) Air NO₂ #30/64 (1 = most polluted) Night-lights +80% (2014–23 activity) Built-up 87 km² Forest loss 123 ha (2001–23) Rainfall 1,598 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 Mean Relative Wealth Index of -0.182 ranks Naogaon 12th-poorest of 64 districts, among the lowest in the country. So what: Deep, broad-based poverty limits household resilience to any agricultural or climate shock and constrains local revenue for services. Source: Meta Data for Good Relative Wealth Index (HDX), ~2.4 km grid
  2. air quality Aerosol optical depth of 0.734 ranks Naogaon 5th-worst of 64 districts, indicating very heavy particulate haze, consistent with crop-residue burning and brick-kiln and transboundary smoke. So what: Severe particulate loading is a leading driver of respiratory disease and reduces crop-relevant sunlight, with almost no local monitoring or mitigation. Source: MODIS MAIAC aerosol optical depth (550 nm) via Google Earth Engine
  3. water Only 3.2 km2 of permanent surface water against 1598 mm of annual rainfall means the district relies almost entirely on groundwater for dry-season Barind irrigation. So what: Groundwater dependence for boro rice risks aquifer drawdown and rising irrigation cost, a structural threat to the rice surplus. Source: JRC Global Surface Water (permanent water) via Google Earth Engine
  4. economy Nightlights grew only 80 percent, ranking 40th of 64 in growth pace, signalling slow economic diversification beyond paddy. So what: Lagging non-farm activity keeps a poor district trapped in a low-value agricultural base with few wage alternatives. Source: VIIRS nighttime lights (annual radiance) via Google Earth Engine
  5. environment Despite 314.0 km2 of tree cover in 2021, the district recorded 122.6 hectares of forest loss between 2001 and 2023. So what: Continued tree-cover loss in an already dry tract erodes shade, soil moisture, and fuelwood for poor rural households. Source: Hansen Global Forest Change v1.11 (UMD) via Google Earth Engine

Probable solutions

Upazilas (11)

Naogaon Sadar Mohadevpur Manda Niamatpur Atrai Raninagar Patnitala Dhamoirhat Sapahar Porsha Badalgachhi