Prompt

I'm building a geospatial app and need boundary data plus points of interest. What datasets should I start with?

Technology / Data Infrastructure1 observationLast seen Oct 16, 2026

Latest observation

Oct 16, 2026OpenAI APIWeb search: off

A good starter stack is usually:

1) Administrative boundaries

Use these for countries, states/provinces, counties, cities, etc.

  • OpenStreetMap boundaries
    • Good for local/admin boundaries and lots of detail
    • Access via Geofabrik, BBBike, or custom OSM extracts
  • GADM
    • Very popular global administrative boundaries dataset
    • Great for country → subnational levels
  • Natural Earth
    • Best for lightweight global boundary data at small scales
    • Useful for country boundaries and simple regional layers
  • UN SALB (where available)
    • Authoritative administrative boundaries for some regions
  • Open data portals from governments
    • Often the best source for parcel, municipal, county, or district boundaries

2) Points of Interest (POIs)

Use these depending on your app’s needs.

  • OpenStreetMap POIs
    • Most flexible starting point
    • Includes shops, amenities, tourism, transport, healthcare, etc.
    • Accessible via planet extracts, Overpass API, or regional extracts
  • Foursquare Places / Places APIs
    • Strong POI coverage and category structure
    • Often better for commercial POI search/use cases
  • Google Places
    • Very rich POI data, but API/licensing constraints apply
  • SafeGraph / Near / other commercial location datasets
    • Good if you need business locations, foot-traffic-oriented datasets, or enriched POIs
  • Government/open data POI sources
    • Great for public infrastructure: schools, hospitals, parks, libraries, transit stops

3) Base layers / reference layers

Helpful for map context and enrichment.

  • Natural Earth
    • Land, coastlines, lakes, rivers, populated places
  • OpenStreetMap-derived tiles or vector layers
    • Roads, water, landuse, labels
  • Microsoft Global Building Footprints
    • Great for building outlines in many countries
  • Global Human Settlement Layer (GHSL)
    • Useful for urbanization and settlement context

4) If you want global coverage quickly

A practical combo is:

  • Boundaries: GADM + Natural Earth
  • POIs: OpenStreetMap
  • Context: GHSL or Natural Earth

5) If you want commercial-grade search / category consistency

A practical combo is:

  • Boundaries: GADM or authoritative government boundaries
  • POIs: Google Places or Foursquare
  • Context: OSM/Natural Earth

6) Things to watch for

  • Licensing: OSM is ODbL; commercial APIs have usage limits
  • Update frequency: boundaries and POIs go stale quickly
  • Geometry quality: admin boundaries can differ across sources
  • Coverage: some regions are much better mapped than others
  • Normalization: POI categories differ a lot by source, so you may need a category mapping layer

If you tell me:

  1. your target geography,
  2. whether this is commercial or internal, and
  3. whether you need search, display, or analytics,

I can recommend a specific dataset stack and ingestion pipeline.

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