Aeroview’s Administrative Boundary datasets define the official spatial extents of government-recognized jurisdictions — from national borders and provinces to cities, towns, villages, and neighborhoods. These polygons form the foundational layer for any geographic information system (GIS), enabling meaningful spatial analysis, reporting, and location-based decision-making.
Whether you need a map of federal electoral districts, municipal service zones, or neighborhood planning areas, our datasets deliver clean, reliable, and ready-to-use polygons — sourced from official and verified datasets globally.
Country-wide administrative boundaries for over 130 countries, including Canada, the U.S., Europe, Asia, Latin America, and Africa.
Boundaries are standardized with global admin levels (ADM0 to ADM4+) for seamless aggregation and cross-border analysis.
All polygons are topologically clean, non-overlapping, and attribute-verified — ready for spatial joins and modeling.
Downloadable as GeoJSON, Shapefile, CSV with geometry, or accessible via API / WMTS tile layers.
Updated quarterly or as required based on changes to national or subnational administrative divisions.
Transparent terms for internal use, analytics platforms, or redistribution as part of your own SaaS offering.
Our database includes multiple administrative levels (ADM0–ADM4+) depending on the country:
Administrative boundaries are essential for structuring spatial data and understanding geography through a political or legal lens. By organizing data within known jurisdictional limits, organizations can:
Depending on the region or country, administrative boundaries may also be referred to as:
We structure and label administrative levels using standardized international codes (e.g., ISO 3166-2), and our metadata provides clear definitions of each boundary tier.
Aeroview’s Administrative Boundaries are a critical base layer for any spatial application — helping you align your location data with real-world jurisdictions.
Contact us to request sample data or speak with a spatial data specialist.
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