This platform is built upon high-fidelity open-source and public-purpose datasets. We gratefully acknowledge the following contributors:

Global Layers

• WorldPop: High-resolution population grids (100m). Licensed under CC BY 4.0.
• OpenStreetMap: Map data © OpenStreetMap contributors. Licensed under ODbL.
• Overture Maps: POI and transportation data © Overture Maps Foundation. Licensed under CDLA-Permissive-2.0 / ODbL.

Regional & Administrative

• Statistics Canada: Adapted from Statistics Canada, Census 2021.
• INEGI (Mexico): Geostatistical framework and DENUE records.
• Eurostat: Demographic grids and Household Budget Survey data © European Union.

Terms of Use

The information provided on Woodfine Location Intelligence is for informational and research purposes only. While we utilize authoritative data sources, the results presented (including co-location scores and synthesized spend metrics) are generated through computational modeling and may contain inaccuracies.

No Guarantee

Woodfine Group does not guarantee the accuracy, completeness, or timeliness of the data. Retailer locations and catchment analysis should not be used for high-stakes site selection, navigation, or critical infrastructure planning without independent verification.

Privacy Notice

We do not utilize real-time individual tracking data. Catchment population and consumer-spend metrics are derived from WorldPop high-resolution population grids assigned to clusters via a distance-decay radius model. No personally identifiable information (PII) is processed or displayed.

Tier Classification

Each location on this map is assigned a tier based on the composition of large-format retail anchors present within the co-location cluster — not on retailer count or proximity alone.

• Regional (T1): A hypermarket, hardware retailer, and at least one of: warehouse club, lifestyle anchor, or electronics anchor — three independent format categories co-located within a sub-metropolitan market.
• District (T2): A hypermarket and hardware retailer co-located without the third anchor category.
• Local (T3): A single large-format anchor category present without a qualifying co-location pair.

Data and Scale

The framework is applied to 6,493 co-location clusters across thirteen countries in North America and Europe, using OpenStreetMap point-of-interest records as the primary source. Clusters are identified by a two-pass spatial clustering algorithm (DBSCAN) calibrated to sub-metropolitan retail park configurations. Within each tier, clusters are ranked by geometric compactness and catchment characteristics.

Catchment Areas

Population and consumer spend figures are derived from WorldPop 100 m population grids and modelled per-capita spend estimates, aggregated to H3 hexagonal cells within a 150 km radius of each cluster centroid. The intended refinement — replacing the radius-based catchment with mobility-defined catchments derived from parking-lot geo-fencing — is a planned extension as origin-destination panel data is acquired.

Limitations

• OSM coverage varies by country and retailer format. Major chains in the thirteen study countries are well-mapped; newer formats and smaller markets may be under-represented.
• Spend figures are modelled estimates, not transaction data. They reflect demographic proxies, not observed retail sales.
• The tier classification reflects anchor composition at a point in time. Store openings and closures are incorporated through periodic dataset rebuilds.

This methodology is documented in a technical note prepared by Woodfine Management Corp. (2026). For the full technical note or enquiries about the dataset, contact corporate.secretary@woodfinegroup.com.

Read the full technical paper →