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Description
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 Summary
- Dataset Coverage: 783 SPAR supermarkets in France
- Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
- File Format: Fully geocoded CSV dataset (UTF-8)
- Free Sample: Instantly accessible dataset to verify structure and data quality
- Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
- Last Updated: 27 May 2026
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.
Dataset fields included in the CSV:
- GUID
- Title
- Group
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Commune
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)75%
- Web Address79%
- Opening Hours83%
- Popularity Score100%
Data Preview: Sample geospatial records from the SPAR dataset in France
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 85a3417... | SPAR (Lyon) | 45.752784 | 4.827224 | 69002 | 18 Rue Franklin, Lyon, 69002, Rhône, ... |
| b1203b2... | SPAR (Toulouse) | 43.571263 | 1.454431 | 31400 | 26 Route de Narbonne, Toulouse, 31400... |
| 2be059d... | SPAR (Revel) | 43.458280 | 2.004227 | 31250 | 3 Galerie du Midi, Revel, 31250, Haut... |
| b85a97c... | SPAR (Châteauneuf-de-Randon) | 44.641163 | 3.675159 | 48170 | Place du Guesclin, Châteauneuf-de-Ran... |
| f963c2c... | SPAR (Villefranche-d'Allier) | 46.396894 | 2.856780 | 03430 | Avenue Victor Hugo, Villefranche-d'Al... |
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.
Why download from Geolocet?
- Instant download - full dataset available immediately after purchase, no waiting, no manual fulfilment
- Free sample first - verify structure, fields, and coordinate precision before you commit
- Analysis-ready CSV - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
- Regularly updated - last updated 27 May 2026
✅ Data looks right? Add to cart ↑ - or download the free sample first.
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
Brand bundle
Top 19 Grocery Brands in France - €400
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View Top Brands dataset →Full market coverage
All Grocery Locations in France - complete POI dataset
Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.
View full POI dataset →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
Q: Can I request the data in GeoJSON or Shapefile format?
A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.
Q: How accurate are the coordinates?
A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.
Q: Can this dataset be used for academic or research purposes?
A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: How recent is this dataset?
A: This dataset was last updated on 27 May 2026 and is periodically refreshed through automated collection and validation workflows.
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.
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