Map of Romania 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.
Sobre GeoJSON
Map of Romania 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)
| Categoria | GIS |
| Extensió del fitxer | .geojson |
| Nivell | Free |
What's in the GeoJSON map of Romania
1,362,398 buildings (295,906 residential, 6,151 commercial, 19,769 industrial, 3,783 religious), 212,611.6 km of roads, 132,987 points of interest, 100 landmarks.
Mostly residential streets 90,232.2 km, secondary roads 29,831.5 km, tertiary roads 24,156.0 km.
Among the objects: parking — 24,542, places of worship — 15,239, gardens — 13,672.
GeoJSON contains 1,362,398 buildings and 132,987 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: Strada Principală, Strada Principală, Strada Principală, Strada Bisericii, Strada Școlii
Landmarks: Muzeul de Istorie, Complexul Național Muzeal "Curtea Domnească", Ansamblul Palatului Brâncovenesc, Muzeul Poliției Române, Casa-muzeu
How to use GeoJSON for Romania
- Select the Romania 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 Romania
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.