GovTwin / Institution

Magura District

Local Gov

A small inland district in the southwest, Magura is one of the poorest in the country and lives almost entirely on agriculture, with paddy, jute, and pulses on the Ganges-Gorai floodplain. It has warmed faster than most of its neighbors and has very little surface water, leaving it dependent on groundwater and exposed to heat stress.

Wealth rank 17/64 (1 = poorest district) Warming +0.47°C (1980s–2020s) Air NO₂ #40/64 (1 = most polluted) Night-lights +112% (2014–23 activity) Built-up 15 km² Forest loss 21 ha (2001–23) Rainfall 1,686 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 -0.155 makes Magura the 17th-poorest of 64 districts, one of the weakest rural economies in southwest Bangladesh. So what: Deep, persistent poverty with little industry means climate and agricultural shocks translate directly into household distress and out-migration. Source: Meta Data for Good Relative Wealth Index (HDX), ~2.4 km grid
  2. climate disaster Air temperature has warmed 0.47 C, among the higher rates in the region, with recent daytime surface heat of 27.8 C and rainfall of only 1686 mm. So what: Rising heat on a low-rainfall floodplain intensifies pre-monsoon stress on paddy, jute, and pulses, the district's core livelihoods. Source: ERA5-Land reanalysis (Copernicus/ECMWF) via Google Earth Engine, district mean
  3. water Only 4.1 km2 of permanent surface water leaves Magura heavily reliant on groundwater for dry-season irrigation and supply. So what: Limited surface storage in a poor, farm-dependent district raises the cost and risk of dry-season irrigation as the water table is drawn down. Source: JRC Global Surface Water (permanent water) via Google Earth Engine
  4. air quality Aerosol optical depth of 0.66 ranks Magura 19th-worst of 64 districts, a notable particulate haze burden over the southwest plain. So what: Elevated aerosols add a respiratory-health cost to an already poor population with limited access to specialized care. Source: MODIS MAIAC aerosol optical depth (550 nm) via Google Earth Engine
  5. urbanization Built-up area grew 90 percent since 2000 to 14.9 km2, expanding settlement onto cropland around Magura town. So what: Loss of farmland to settlement chips away at the narrow agricultural base of the district's economy. Source: GHSL built-up surface (JRC) via Google Earth Engine

Probable solutions

Upazilas (4)

Magura Sadar Mohammadpur Shalikha Sreepur