Grand frais Supermarket Locations Dataset – France

Grand frais Supermarket Locations Dataset – FranceQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Grand Frais is a French supermarket chain specializing in fresh produce, designed to resemble a traditional covered market. It partners with specialized food professionals to offer high quality fruits, vegetables, meats, and dairy under one roof. There are 362 Grand frais Supermarkets as of 27 May 2026 in

Grand Frais is a French supermarket chain specializing in fresh produce, designed to resemble a traditional covered market. It partners with specialized food professionals to offer high-quality fruits, vegetables, meats, and dairy under one roof.

There are 362 Grand frais Supermarkets as of 27 May 2026 in France. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Grand frais 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 Grand frais 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 Grand frais locations in France is found in Auvergne-Rhône-Alpes (62 sites, equivalent to 0.74 Grand frais supermarkets per 100,000 residents). This is followed by Île-De-France (58 sites; 0.46 per 100,000) and Grand Est (45 sites; 0.79 per 100,000). From a market-penetration perspective, Bourgogne-Franche-Comté has the highest brand density at 0.85 locations per 100,000 people (population: 2,840,000), making it the most saturated region for Grand frais in France. By contrast, Pays De La Loire records only 0.33 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 Grand frais 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 Grand frais 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?

• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.

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 Grand frais dataset to identify underserved regions in France for potential market expansion."
• "Identify regions in France where Grand frais has a disproportionately strong or weak presence relative to population density."
• "Identify fast-growing suburban areas in France that currently have limited access to nearby supermarkets."

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.