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Tangail District

Local Gov

A large north-central district between the Jamuna and the Madhupur tract, known for the Madhupur sal forest, handloom weaving, and rice agriculture. It combines strong vegetation cover with the highest forest loss of the four assigned districts, alongside lagging economic activity and middling wealth.

Wealth rank 51/64 (1 = poorest district) Warming +0.61°C (1980s–2020s) Air NO₂ #12/64 (1 = most polluted) Night-lights +54% (2014–23 activity) Built-up 79 km² Forest loss 4,171 ha (2001–23) Rainfall 1,942 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. environment Forest loss of 4171.3 ha over 2001-2023 is by far the highest of the four districts, concentrated in the Madhupur sal-forest tract, even as 305.6 km2 of tree cover remained in 2021. So what: Continued clearing of the Madhupur forest erodes a nationally significant ecosystem and indigenous (Garo, Koch) livelihoods, with no quick path to recovery once sal stands are lost. Source: Hansen Global Forest Change v1.11 (UMD) via Google Earth Engine
  2. economy Nightlights radiance grew only 54%, a national growth rank of 62 (near the bottom of 64), the slowest economic-activity growth among the four districts. So what: Near-stagnant activity growth signals weak job creation and out-migration pressure, leaving the handloom and farm economy without dynamism. Source: VIIRS nighttime lights (annual radiance) via Google Earth Engine
  3. poverty Mean Relative Wealth Index of 0.042 ranks Tangail 51st of 64 districts, modest wealth that pairs with its weak activity growth. So what: Middling wealth with stagnant growth risks a slow-development trap, where households lack the surplus to invest their way out. Source: Meta Data for Good Relative Wealth Index (HDX), ~2.4 km grid
  4. urbanization Built-up surface grew 95% since 2000 to 78.8 km2, expanding onto the Madhupur tract and farmland even as the district urbanizes from a rural base. So what: Sprawl onto forest-edge and agricultural land compounds the deforestation problem and fragments the remaining sal habitat. Source: GHSL built-up surface (JRC) via Google Earth Engine
  5. climate disaster Air temperature has warmed 0.61 C, the highest of the four districts, against 1942.0 mm of annual rainfall and a Jamuna-fed flood-and-erosion frontier on its western edge. So what: Rising heat plus Jamuna flooding threatens both rice yields and the char-land population along the river margin. Source: ERA5-Land reanalysis (Copernicus/ECMWF) via Google Earth Engine, district mean

Probable solutions

Upazilas (12)

Tangail Sadar Sakhipur Basail Madhupur Ghatail Kalihati Nagarpur Mirzapur Gopalpur Delduar Bhuapur Dhanbari