Electrical Distribution Grid Maps

Electricity transmission and distribution grid network across Africa including all existing and planned lines, ranging from sub-kilovolt to 700 kV extra-high-voltage lines. Compiled from multiple sources including the Africa Infrastructure Country Diagnostic, OpenStreetMap, the West African Power Pool GIS database, World Bank project archives, and country utility data. Use this layer for energy access analysis, grid infrastructure planning, electrification studies, renewable energy siting, and power sector investment analysis across Africa. No additional information provided.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['power'] IN ('tower', 'line') Features may have these attributes: - name - amenity - power - source - operator:type - addr:full - addr:city - building This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

This master list of health facilities was developed from a variety of government and non-government sources from 50 countries in sub-Saharan Africa. It uses multiple geocoding methods to provide a comprehensive spatial inventory of 98 745 public health facilities. Each data record represents a health facility and has 8 descriptive variables – Location identifiers including: country, first level administrative division, latitude, longitude and LL source (source of the coordinates). Coordinates are rounded off to four decimal places for uniformity, allowing an accuracy of 5–10 metres in decimal degrees coordinate format. This geocoded master facility list has been made publicly and freely available through both the figshare repository and through the World Health Organization’s Global Malaria Programme in Microsoft Excel format.

AI-derived building footprint polygons for Africa from Microsoft's Global ML Building Footprints, in 219 quadkey tiles of line-delimited GeoJSON, uploaded 2026-02-23.

This line dataset represents a modelled river network in Uganda. Each feature is a river segment with a grid code. The data is published by Orion Terrametrics.

These high-resolution maps estimate not only the number of people living within 30-meter grid tiles, but also provide insights on demographics at unprecedentedly high resolutions. These maps aren’t built using Facebook data and instead rely on combining the power of machine vision AI with satellite imagery and census information.