Map of Anguilla 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.
.geojsonAbout GeoJSON
Map of Anguilla 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 Anguilla
4,108 buildings (1,538 residential, 56 commercial, 2 industrial, 3 religious), 394.4 km of roads, 539 points of interest, 21 landmarks.
The area covers 4,387 km², with about 1 buildings per km².
Mostly residential streets 158.4 km, service roads 150.6 km, primary roads 33.8 km.
0.4% of the area is green space.
The map marks 3 parks and 13 water bodies.
Key amenities: schools — 8, supermarkets — 10, convenience stores — 4.
GeoJSON contains 4,108 buildings and 539 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: Jeremiah Gumbs Highway, Albert Hughes Drive, Hubert Benjamin Hughes Drive, Long Path Road, Brimegin Road
Landmarks: Heritage Collection Museum, Fountain Cavern Petroglyphs, Katouche Well, Pelican Point, Black Point
How to use GeoJSON for Anguilla
- Select the Anguilla 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 Anguilla
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.
