SPAR Supermarket Locations Dataset – France

SPAR Supermarket Locations Dataset – FranceQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI In France, the SPAR brand operates as a franchise network managed by the Casino Group, focusing on proximity and convenience. These neighborhood stores serve both urban centers and rural communities with essential daily goods. There are 783 SPAR Supermarkets as of 27 May 2026 in France. This dataset is

In France, the SPAR brand operates as a franchise network managed by the Casino Group, focusing on proximity and convenience. These neighborhood stores serve both urban centers and rural communities with essential daily goods.

There are 783 SPAR Supermarkets as of 27 May 2026 in France. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all SPAR 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 SPAR 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 SPAR locations in France is found in Pop - Corse (355197 sites). This is followed by Occitanie (186 sites; 2.99 per 100,000) and Auvergne-Rhône-Alpes (153 sites; 1.83 per 100,000). From a market-penetration perspective, Occitanie has the highest brand density at 2.99 locations per 100,000 people (population: 6,225,000), making it the most saturated region for SPAR in France. By contrast, Grand Est records only 0.09 locations per 100,000 residents (population: 5,675,000), 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 SPAR 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 SPAR 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?

• 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.
• 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.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.

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 SPAR dataset to identify underserved regions in France for potential market expansion."
• "Identify locations where multiple SPAR sites compete within overlapping catchment areas in France."
• "Evaluate how evenly SPAR locations are distributed across provinces, districts, or municipalities in France."

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.