Map of Peru 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.
เกี่ยวกับ GeoJSON
Map of Peru 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)
| หมวดหมู่ | GIS |
| นามสกุลไฟล์ | .geojson |
| ระดับ | Free |
What's in the GeoJSON map of Peru
247,202 buildings (26,527 residential, 2,436 commercial, 2,089 industrial, 1,555 religious), 372,848.9 km of roads, 200,384 points of interest, 200 landmarks.
Mostly unclassified roads 124,855.0 km, residential streets 89,073.7 km, tertiary roads 78,470.8 km.
Key amenities: schools — 46,423, kindergartens — 33,341, clinics — 2,915.
GeoJSON contains 247,202 buildings and 200,384 POIs with coordinates, names and attributes. Ready for Leaflet, Mapbox, D3.js.
Main streets: Carretera Longitudinal de Conchucos, Carretera Arequipa - Santa Lucía, Carretera Samanco - Caraz, Carretera Huarmey - Recuay, Carretera Majes - Colca
Landmarks: Museo y Catacumbas del Convento de San Francisco de Asis, Parque Jurásico Querulpa, Centro de Interpretacion, Casa Museo Bodega y Cuadra, Limonal
How to use GeoJSON for Peru
- Select the Peru 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 Peru
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.
