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The POI Intelligence dataset contains ~89K points of interest across U.S. metros sourced from Foursquare, OpenStreetMap, Google Places, and manual verification. Each POI is enriched with industry classification (NAICS and ISIC), walkability and transit scores, and a pioneer-flag indicator for recently opened businesses in growth areas. Every record inherits the full APRS envelope (record_id, chunk_id, bitemporal fields, confidence_score, provenance) and carries the join keys documented below.

Dataset-specific fields

Pioneer classification

A POI is classified as a “pioneer” when it meets all three criteria:
  1. Opened within the last 12 months
  2. Located in a cell with a rising Urban Signal Grid composite score
  3. Nearby area shows positive net migration and recent construction permits
Pioneer POIs are early indicators of neighborhood transformation. Use the is_pioneer flag to identify emerging commercial corridors before they appear in traditional market reports.

Industry classification

Each POI carries up to three parallel industry taxonomies: Use naics_code for cross-joins with OSHA Safety, LEHD Commuter Flows, and other government datasets that use NAICS classification.

Source feeds and licensing

Multi-source identity resolution maps duplicate entries from different feeds to a single poi_id. Source-native identifiers are preserved in the identifier array within metadata.

Join keys

Example query

Find pioneer restaurants in a target metro area:

Known limitations

  • reviews_sample contains at most 5 representative reviews per POI. Full review text is not redistributable.
  • walk_score and transit_score are null for POIs in areas without sufficient data coverage.
  • Multi-source resolution means a single real-world business may have been merged from 2–3 source entries. Check metadata.identifier for source-native IDs.
  • Pioneer classification depends on Urban Signal Grid scoring freshness — newly scored cells may take up to one refresh cycle to propagate.