Map of Rwanda in GeoJSON format
A map built from OpenStreetMap data, ready to download
Customize the map
Open this place's area in the constructor and adjust everything to your needs
Open in constructor →Map passport
What this map contains by default
This is how the map is built as-is — every setting can be changed in the constructor.
เกี่ยวกับ GeoJSON
Map of Rwanda in GeoJSON — an export of real OpenStreetMap data for the selected area.
Open text-based geodata format built on JSON. Widely supported by web mapping libraries, human-readable and easy to process with scripts.
Which layers are in the file
This file for the selected area contains:
- Roads
- Buildings
- Water
- Greenery
- Points of interest
Coordinate systems
WGS 84 (EPSG:4326), selectable in the wizard
Compatibility
Units
Meters (projected in the chosen coordinate system)
| หมวดหมู่ | GIS |
| นามสกุลไฟล์ | .geojson |
| ระดับ | Free |
What's in the GeoJSON map of Rwanda
51,213 buildings (4,560 residential, 175 commercial, 157 industrial, 50 religious), 52,503.8 km of roads, 4,975 points of interest, 50 landmarks.
Mostly residential streets 22,948.2 km, unclassified roads 20,884.7 km, secondary roads 3,992.6 km.
Key amenities: schools — 504, hospitals — 754, clinics — 101.
GeoJSON contains 51,213 buildings and 4,975 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: Lake Shore Road, NR 19, Nyamata - Rilima, Route Nyagatare - Ryabega, Kageyo Peninsula Road
Landmarks: Campaign Against Genocide Museum, Musée du Palais du Roi, Ellen DeGeneres Campus of the Dian Fossey Gorilla Fund, Rwanda Art Museum, Museum of Rwesero (former National Art Gallery)
How to use GeoJSON for Rwanda
- Select the Rwanda area on the map
- Export to GeoJSON
- Load into QGIS, Mapbox Studio, or kepler.gl
- Use for analysis, filtering, and visualization
Programs that open GeoJSON
FAQ: GeoJSON for Rwanda
How to open GeoJSON?
GeoJSON opens in QGIS, geojson.io, Mapbox Studio, kepler.gl, or any text editor — it's just JSON.
Is GeoJSON suitable for large areas?
For large areas, GeoPackage or FlatGeobuf is better — they're more compact and load faster.
