GovTwin / Institution

Bogura District

Local Gov

Bogura is the commercial and industrial hub of northern Bangladesh, famous for cold-storage potato trade, light engineering and pottery, sitting on the higher ground between the Jamuna and the Barind. It is a busy, urbanizing district whose growth is slowing relative to peers.

Wealth rank 33/64 (1 = poorest district) Warming +0.52°C (1980s–2020s) Air NO₂ #14/64 (1 = most polluted) Night-lights +63% (2014–23 activity) Built-up 96 km² Forest loss 114 ha (2001–23) Rainfall 1,688 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. urbanization The fastest built-up expansion in this set, up 39% since 2000 to 95.7 km2, the largest built-up footprint of the four districts. So what: Sprawl along the trade corridor encroaches on prime farmland and strains drainage and waste systems, raising flood and service-deficit risk. Source: GHSL built-up surface (JRC) via Google Earth Engine
  2. air quality High air pollution for a non-metro district, with NO2 ranking 14th of 64 and aerosol optical depth 17th of 64. So what: Dense brick kilns, light-engineering workshops and corridor traffic concentrate emissions, elevating local respiratory disease burden. Source: Sentinel-5P tropospheric NO2 via Google Earth Engine
  3. economy Economic-activity growth is lagging: nightlights rose 63% but rank only 57th of 64, the weakest momentum among these four districts. So what: Slowing relative growth in a historic trade hub signals stalled investment and risks the district's regional economic primacy eroding. Source: VIIRS nighttime lights (annual radiance) via Google Earth Engine
  4. climate disaster Air temperature has warmed 0.52 C, the highest in this set, raising heat stress on outdoor labor and the potato/vegetable cold-chain. So what: Higher ambient heat increases cold-storage energy demand and spoilage risk in a district whose economy hinges on potato preservation. Source: ERA5-Land reanalysis (Copernicus/ECMWF) via Google Earth Engine, district mean
  5. environment Forest/tree-cover loss of 114.5 ha over 2001-23, by far the most of these four districts. So what: Loss of homestead and roadside tree cover reduces shade, windbreaks and carbon stock as built-up land expands. Source: Hansen Global Forest Change v1.11 (UMD) via Google Earth Engine
  6. poverty Below-average household wealth (RWI -0.063, 33rd poorest of 64) despite the district's commercial reputation. So what: Trade-hub prosperity does not reach much of the rural population, leaving a sizeable poverty gap for policy to close. Source: Meta Data for Good Relative Wealth Index (HDX), ~2.4 km grid

Probable solutions

Upazilas (12)

Adamdighi Bogra Sadar Sherpur Dhunat Dhupchanchia Gabtali Kahaloo Nandigram Sahajanpur Sariakandi Shibganj Sonatala