Louis Delhaize Supermarket Locations Dataset – Belgium

Louis Delhaize Supermarket Locations Dataset – BelgiumQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Louis Delhaize is a Belgian retail group operating various convenience and proximity stores, often located at gas stations or urban centers. It is distinct from the larger Delhaize brand owned by Ahold Delhaize. There are 177 Louis Delhaize Supermarkets as of 26 May 2026 in Belgium. This dataset is compiled

Louis Delhaize is a Belgian retail group operating various convenience and proximity stores, often located at gas stations or urban centers. It is distinct from the larger Delhaize brand owned by Ahold Delhaize.

There are 177 Louis Delhaize Supermarkets as of 26 May 2026 in Belgium. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Louis Delhaize locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates — structured for GIS, retail analytics, mapping, and AI/RAG workflows.

Dataset Methodology:

This dataset is compiled from publicly available business listings, official company sources, and geospatial validation workflows. Automated quality checks and manual analyst reviews are applied to improve coordinate precision, address standardisation, duplicate detection, and overall analytical consistency.

It is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Louis Delhaize dataset in Belgium

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Louis Delhaize locations in Belgium is found in Province De Hainaut (37 sites, equivalent to 2.71 Louis Delhaize supermarkets per 100,000 residents). This is followed by Région De Bruxelles-Capitale (20 sites; 1.59 per 100,000) and Province De Liège (19 sites; 1.7 per 100,000). From a market-penetration perspective, Province De Namur has the highest brand density at 3.76 locations per 100,000 people (population: 505,000), making it the most saturated region for Louis Delhaize in Belgium. By contrast, Province De Limbourg records only 0.44 locations per 100,000 residents (population: 900,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Learn more about the brand network in our report: View Report

Also available for Belgium

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Belgium: Map these Louis Delhaize locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Belgium: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Louis Delhaize locations.
• Explore demographics data insights for Belgium: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Belgium (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units — ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
• Income distribution and socio-economic patterns in Belgium — expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
• Explore a rich library of Belgium-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for Belgium

Need the data in another format?

We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at [email protected].

Who uses this data?

• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.

Frequently Asked Questions

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

• "Analyze this Louis Delhaize dataset to identify underserved regions in Belgium for potential market expansion."
• "Rank the top-performing urban areas in Belgium for future Louis Delhaize expansion based on existing location density and regional population."
• "Using this Louis Delhaize data, find high-traffic retail corridors in Belgium with low supermarkets density for competitive positioning."

Disclaimer: All brand logos and trademarks displayed are the property of their respective owners and are used strictly for identification purposes. This product consists of geospatial location data only; no images, logos, or trademark rights are included in the downloadable files.