Map of Ningxia 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.
.geojson
About GeoJSON
Map of Ningxia 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)
| Category | GIS |
| File extension | .geojson |
| Tier | Free |
What's in the GeoJSON map of Ningxia
22,405 buildings (1,133 residential, 42 commercial, 1,038 industrial, 15 religious), 42,516.4 km of roads, 3,405 points of interest, 100 landmarks.
The area covers 51,938 km², with about 0 buildings per km².
Mostly unclassified roads 9,937.8 km, tertiary roads 8,763.3 km, residential streets 6,140.2 km.
1.8% of the area is green space.
The map marks 73 parks and 159 water bodies.
Key amenities: schools — 655, kindergartens — 44, hospitals — 40.
Public transport: 2,447 bus stops, 8 tram stops, 135 rail stations.
GeoJSON contains 22,405 buildings and 3,405 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: 滨河大道, 滨河南路, 旅游环线, 永宁快速路, 滨河大道
Landmarks: 西夏博物馆, 西夏陵博物馆, 西北农耕博物馆, 宁夏煤炭地质博物馆, 西夏史话艺术馆
How to use GeoJSON for Ningxia
- Select the Ningxia 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 Ningxia
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.
