Map of Chongqing 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 Chongqing 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 Chongqing
24,953 buildings (5,281 residential, 1,175 commercial, 1,035 industrial, 25 religious), 94,375.7 km of roads, 8,988 points of interest, 100 landmarks.
The area covers 82,374 km², with about 0 buildings per km².
Mostly tertiary roads 20,049.1 km, unclassified roads 17,067.5 km, primary roads 13,113.9 km.
The map marks 535 parks and 634 water bodies.
Key amenities: schools — 954, kindergartens — 203, hospitals — 194.
Public transport: 2,417 bus stops, 931 tram stops, 231 metro stations, 264 rail stations.
GeoJSON contains 24,953 buildings and 8,988 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: 渝建路, 梁彭路, 徐大路, 渝习路, 汝但路
Landmarks: 荣昌陶博物馆, 周公馆, 秀山博物馆, 大足文化馆, 陶行知纪念馆
How to use GeoJSON for Chongqing
- Select the Chongqing 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 Chongqing
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.
