Carrefour Petrol Station Locations Dataset – France

Carrefour Petrol Station Locations Dataset – France

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Carrefour is a leading fuel retailer in France, with stations integrated into its hypermarkets and many of its supermarket locations. It offers competitive fuel prices and convenient services for shoppers across the country under various banners.

There are 1,255 Carrefour Petrol Stations as of 7 July 2026 in France. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Carrefour 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: 1,255 Carrefour petrol stations 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: 7 July 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 Carrefour 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
  • Fuel Type
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)69%
  • Web Address71%
  • Opening Hours63%
  • Popularity Score100%

Data Preview: Sample geospatial records from the Carrefour dataset in France

ID Location Title Latitude Longitude Postal Code Full Address
cdae9d0... Carrefour Contact (Envermeu) 49.897893 1.253568 76630 72 Rue des Canadiens, Envermeu, 76630...
c2cba31... Carrefour (Nîmes) 43.817184 4.392835 30000 1755 Avenue Pierre Mendès France, Nîm...
68af35c... Carrefour Market (Saint-Clair-de-la-Tour) 45.567680 5.454587 38110 1900 Avenue de Savoie, Saint-Clair-de...
a86af32... Carrefour (Les Rousses) 46.478794 6.063933 39220 1140 Route De Geneve, Les Rousses, 39...
888f874... Carrefour (Le Mesnil-Esnard) 49.407231 1.152021 76240 2 Route de Paris, Le Mesnil-Esnard, 7...

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 7 July 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 Carrefour locations in France is found in Auvergne-Rhône-Alpes (193 sites, equivalent to 2.31 Carrefour petrol stations per 100,000 residents). This is followed by Hauts-De-France (180 sites; 2.95 per 100,000) and Occitanie (139 sites; 2.23 per 100,000). From a market-penetration perspective, Normandie has the highest brand density at 3.22 locations per 100,000 people (population: 3,385,000), making it the most saturated region for Carrefour in France. By contrast, Île-De-France records only 0.81 locations per 100,000 residents (population: 12,610,000), 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 13 Petrol Stations 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 Petrol Stations 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?

  • Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.

Frequently Asked Questions

Q: Is this dataset useful for franchise analysis?

A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.

Q: Does the dataset include opening hours?

A: Yes, opening hours are included where publicly available and validated during the data standardization process.

Q: Can I use this dataset for proximity analysis?

A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.

Q: Can I analyze this dataset with AI tools?

A: Yes. The dataset is structured for compatibility with AI workflows including ChatGPT, Claude, Gemini, RAG pipelines, and Python-based analytics.

Q: Does the dataset include unique identifiers?

A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.

Q: Can I use this dataset in GIS software?

A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.

Analyze this data with AI

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

  • "Analyze this Carrefour dataset to identify underserved regions in France for potential market expansion."
  • "Identify isolated Carrefour sites in France that may face operational inefficiencies due to low regional clustering."
  • "Identify regions in France where Carrefour has a disproportionately strong or weak presence relative to population density."

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.