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Description
System U Supermarket Locations Dataset – FranceQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Cooprative U is a major French retailers' cooperative operating under banners including Hyper U, Super U, U Express, and Utile. Rebranded from Systme U to Cooprative U in May 2024, the group brings together over 1,800 independently owned stores across France and internationally, with a strong emphasis on
Coopérative U is a major French retailers' cooperative operating under banners including Hyper U, Super U, U Express, and Utile. Rebranded from Système U to Coopérative U in May 2024, the group brings together over 1,800 independently owned stores across France and internationally, with a strong emphasis on local sourcing and regional economic development.
There are 1,886 System U Supermarkets as of 27 May 2026 in France. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all System U 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: 1,886 System U 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)91%
- Web Address81%
- Opening Hours92%
- Popularity Score100%
Data Preview: Sample geospatial records from the System U dataset in France
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 28a341d... | Super U Poitiers Sud | 46.558242 | 0.312833 | 86000 | 91 Avenue du 8 Mai 1945, Poitiers, 86... |
| 446bf07... | Super U et Drive | 47.851042 | -0.351448 | 72300 | Route de Laval, Sablé-sur-Sarthe, 723... |
| 9ae6f61... | Super U et Drive | 43.954873 | 2.891218 | 12400 | Boulevard Ernest Cavalier, Saint-Affr... |
| be96fb1... | Super U et Drive | 43.693194 | 4.203087 | 30470 | Route des Plages, Aimargues, 30470, G... |
| 903fd61... | U Express | 47.770661 | 4.175562 | 89160 | 21 Rue du Collège, Ancy-le-Franc, 891... |
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 System U locations in France is found in Pop - Corse (355197 sites). This is followed by Provence-Alpes-Côte D'Azur (255 sites; 4.85 per 100,000) and Nouvelle-Aquitaine (225 sites; 3.61 per 100,000). From a market-penetration perspective, Pays De La Loire has the highest brand density at 5.47 locations per 100,000 people (population: 3,985,000), making it the most saturated region for System U in France. By contrast, Hauts-De-France records only 0.61 locations per 100,000 residents (population: 6,100,000), 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 System U 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 System U 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?
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- 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.
Frequently Asked Questions
Q: Can this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
Q: Is this dataset suitable for market analysis?
A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.
Q: Does the dataset include latitude and longitude coordinates?
A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.
Q: Can this data be combined with demographics datasets?
A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Q: Can I use this dataset for competitor benchmarking?
A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known System U locations operating in France as of 27 May 2026.
Q: How are addresses standardized?
A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this System U dataset to identify underserved regions in France for potential market expansion.""Identify high-income or high-density residential zones in France that currently lack nearby System U locations.""Identify potential regional logistics bottlenecks caused by uneven geographic distribution of System U locations 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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