DR Congo: population density and infrastructure maps
Interactive multi-layer map of DR Congo. Toggle between humanitarian OpenStreetMap, Esri satellite, and dark-mode base layers, then overlay the OpenInfraMap power grid and telecom networks or the NASA VIIRS night-lights raster as a coarse population-distribution proxy. For analysis-grade gridded population data, use the WorldPop, GHSL, and NASA SEDAC links below.
Layer toggles appear in the top-right of the map. Base layers (one at a time): Humanitarian OSM, OpenStreetMap, Esri Satellite, Carto Dark. Overlays (stackable): OpenInfraMap power grid, OpenInfraMap telecoms, and NASA VIIRS night lights. The dashed outline shows the DR Congo boundary used by the rest of the platform; tiles are served by their respective providers and may not reflect contested or disputed boundaries.
Source datasets and download portals
The base layers above are tile previews. For quantitative analysis, including gridded population counts, road network shapefiles, or infrastructure attributes, pull from the primary datasets below.
WorldPop population density
High-resolution (100 m / 1 km) gridded population estimates and demographic breakdowns.
GHSL, the Global Human Settlement Layer
European Commission JRC built-up surface, settlement model, and population grids from 1975 to 2030.
NASA SEDAC GPW v4
Gridded Population of the World: population count and density at ~1 km resolution.
HDX road networks
OCHA Humanitarian Data Exchange road network datasets for crisis-affected countries.
OpenStreetMap (HOT export)
Roads, healthcare facilities, schools, and water points contributed by the Humanitarian OpenStreetMap Team.
Methodology and limitations
Tile services on this page are visual references, not statistical layers. NASA VIIRS night-lights data correlates with electrified population but undercounts off-grid displacement sites and overcounts industrial activity. OpenInfraMap derives from voluntary OpenStreetMap edits and has uneven coverage in active conflict zones. For comparable, citable figures use WorldPop or GHSL gridded population rasters and HDX road-network exports, all linked above. Boundary lines shown are illustrative and follow the OpenStreetMap consensus; they do not represent an endorsement of any territorial claim.