Carrefour Supermarket Locations Dataset – France

Carrefour Supermarket Locations Dataset – FranceQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Carrefour is a global retail giant headquartered in France, operating a vast network of hypermarkets, supermarkets, and convenience stores. As one of the largest retailers in the world, it holds a dominant position in the French grocery market. There are 6,632 Carrefour Supermarkets as of 27 May 2026 in

Carrefour is a global retail giant headquartered in France, operating a vast network of hypermarkets, supermarkets, and convenience stores. As one of the largest retailers in the world, it holds a dominant position in the French grocery market.

There are 6,632 Carrefour Supermarkets as of 27 May 2026 in France. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Carrefour 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 Carrefour dataset in France

Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all fields and verify the data structure.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Carrefour locations in France is found in Pop - Corse (355197 sites). This is followed by Île-De-France (1032 sites; 8.18 per 100,000) and Hauts-De-France (817 sites; 13.39 per 100,000). From a market-penetration perspective, Normandie has the highest brand density at 14.3 locations per 100,000 people (population: 3,385,000), making it the most saturated region for Carrefour in France. By contrast, Pays De La Loire records only 7.85 locations per 100,000 residents (population: 3,985,000), 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 France

Related geospatial datasets

• Administrative boundaries and full polygon dataset for France: Map these Carrefour locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for France: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Carrefour locations.
• Explore demographics data insights for France: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for France (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 France - 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 France-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 France

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?

• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.

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 Carrefour dataset to identify underserved regions in France for potential market expansion."
• "Identify Carrefour sites with large footprints in France that are optimal candidates for EV charging infrastructure overlays."
• "Analyze geographic gaps in the current Carrefour network and identify underserved regions in France with strong expansion potential."

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.