Map of Belarus 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
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.
Um GeoJSON
Map of Belarus 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)
| Flokkur | GIS |
| Skráarending | .geojson |
| Stig | Free |
What's in the GeoJSON map of Belarus
2,256,257 buildings (638,661 residential, 9,882 commercial, 16,763 industrial, 2,058 religious), 192,750.4 km of roads, 127,433 points of interest, 100 landmarks.
Mostly tertiary roads 49,429.0 km, service roads 44,164.5 km, residential streets 42,995.7 km.
Among the objects: parking — 36,881, benches — 12,257, convenience stores — 11,714.
GeoJSON contains 2,256,257 buildings and 127,433 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: Цэнтральная вуліца, Цэнтральная вуліца, Садовая вуліца, Маладзёжная вуліца, Лясная вуліца
Landmarks: Музей народнай артысткі СССР Галіны Кліменцьеўны Макаравай, Народны музей піянерскай арганізацыі і сучаснага дзіцячага руху, Сядзіба Якуба Коласа (Міцкевічаў) у Акіньчыцах, Сенненскі Дом рамёстваў, Музей Маці
How to use GeoJSON for Belarus
- Select the Belarus 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 Belarus
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.