Location and geospatial data

Location and geospatial data describes the physical world: places and businesses, addresses, boundaries, how people and vehicles move, and what the earth looks like from above. Retailers, real estate firms, logistics companies, insurers, investors, governments and app developers use it to decide where to act and to understand what happens in a place.

What the sub-categories cover

• Points of interest (POI): businesses and places with categories, opening hours and coordinates.
• Foot traffic data: aggregated visits and dwell times at places.
• Mobility data: aggregated movement of people and vehicles between areas.
• Address data: standardized, geocoded postal addresses.
• Satellite and aerial imagery: optical, radar and aerial images with analytics.
• Boundaries and maps: administrative, postal and custom area polygons.
• Store location data: chain store networks, openings and closures.

How to choose

Reference datasets such as POI, addresses and boundaries change slowly and are judged on coverage, accuracy and refresh frequency. Activity datasets such as foot traffic and mobility come from samples of devices or sensors, so judge them on panel size, representativeness and privacy protections. Imagery is judged on resolution, revisit frequency and archive depth.

Delivery is usually GeoJSON, Shapefile, Parquet or CSV with coordinates, via cloud storage, warehouse shares or APIs. Pricing ranges from per-record and per-area fees to annual country or global licences.

Before you buy

• Check coverage in the exact countries and cities you need.
• Ask about the coordinate reference system and geocoding precision.
• For movement data, confirm aggregation thresholds and that no individual device trails are delivered.
• Compare a sample against ground truth you already know.