This dataset contains comprehensive United States retail points of interest, covering millions of current store locations with national coverage. Key attribute groups include brand and retailer attribution, industry and category classifications, full geographic coordinates and administrative location, update timestamps and change history, and historical snapshots dating back to 2018. The data supports spatial analysis such as mapping, proximity and catchment studies, site selection, and geographic clustering, as well as temporal analyses of openings, closures, and footprint evolution. Ideal for competitor benchmarking, market sizing, commercial real estate analysis, logistics planning, and machine learning models that require verified, time-aware retail location data.

Key attributes include:

• Nationwide coverage of retail store locations and counts
• Brand and retailer attribution with industry and category grouping
• Precise geographic coordinates and administrative region data for spatial analysis
• Update timestamps, change history, and historical snapshots back to 2018
• Location-level metadata useful for temporal trend analysis and modeling

Analysts, commercial real estate professionals, logistics planners, and data scientists gain timely, location-accurate retail POIs to assess market presence, track footprint changes, support site selection, and build spatial or temporal models.