Codifrance Group Supermarket Locations Dataset – France

Codifrance Group Supermarket Locations Dataset – France

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Codifrance is a distribution subsidiary of the Belgian Colruyt Group operating in France, supplying independent and affiliated retailers. It manages proximity store banners such as Coccinelle, Coccimarket, and Panier Sympa primarily in rural and suburban areas.

There are 1,489 Codifrance Group Supermarkets as of 27 May 2026 in France. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Codifrance Group 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: 1,489 Codifrance Group 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.

Map showing the geographical distribution of Codifrance Group locations in France

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)69%
  • Web Address46%
  • Opening Hours75%
  • Popularity Score100%

Data Preview: Sample geospatial records from the Codifrance Group dataset in France

ID Location Title Latitude Longitude Postal Code Full Address
a208dfd... COCCINELLE EXPRESS 49.432878 2.084834 60000 20 Rue Gambetta, Beauvais, 60000, Ois...
473bb6c... COCCINELLE SUPERMARCHÉ 47.628111 4.338023 21500 2 Rue Michel Servet, Montbard, 21500,...
d8c18b4... CocciMarket 48.985462 2.188275 95370 7 Grande Rue, Montigny-lès-Cormeilles...
ef92b26... CocciMarket 48.209070 -1.629758 35250 3 Rue les Temps Modernes, Chevaigné, ...
1acb0ae... CocciMarket 48.447764 0.254777 72600 3 Place de l'Église, Villeneuve-en-Pe...

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 Codifrance Group locations in France is found in Normandie (359 sites, equivalent to 10.61 Codifrance Group supermarkets per 100,000 residents). This is followed by Île-De-France (350 sites; 2.78 per 100,000) and Pays De La Loire (156 sites; 3.91 per 100,000). From a market-penetration perspective, Normandie has the highest brand density at 10.61 locations per 100,000 people (population: 3,385,000), making it the most saturated region for Codifrance Group in France. By contrast, Occitanie records only 0.32 locations per 100,000 residents (population: 6,225,000), 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 →

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 contact@geolocet.com.

Who uses this data?

  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
  • 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.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.

Frequently Asked Questions

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: Is the dataset immediately downloadable after purchase?

A: Yes. The full dataset becomes available for instant digital download immediately after purchase.

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: Can I integrate this dataset into a PostgreSQL/PostGIS database?

A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.

Q: Are phone numbers and websites included?

A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.

Q: Can I combine this dataset with administrative boundaries?

A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.

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: Can this dataset be imported into Power BI or Tableau?

A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Codifrance Group dataset to identify underserved regions in France for potential market expansion."
  • "Identify Codifrance Group sites with large footprints in France that are optimal candidates for EV charging infrastructure overlays."
  • "Using this Codifrance Group data, find high-traffic retail corridors in France with low supermarkets density for competitive positioning."

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.