France Petrol Stations Locations Dataset – Top 13 Petrol Station Brands

France Petrol Stations Locations Dataset – Top 13 Petrol Station Brands

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Top 13 Petrol Station Chains Across France: Premium Multi-Brand Location Dataset

Unlock a complete, ready-to-use dataset featuring the leading Petrol Station brands in France. This expertly compiled Top Brands dataset consolidates all major Petrol Station chains in France, delivering a clean, standardised and analysis-ready collection of 10,391 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.

Last updated: 7 July 2026.

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

Brand distribution

  • AS 24 – 275 locations in France
  • Auchan – 319 locations in France
  • AVIA – 835 locations in France
  • bp – 241 locations in France
  • Carrefour – 1,255 locations in France
  • E.Leclerc – 786 locations in France
  • Elan – 336 locations in France
  • Eni – 242 locations in France
  • Esso – 904 locations in France
  • Intermarché – 1,945 locations in France
  • Shell – 89 locations in France
  • tankpool24 – 96 locations in France
  • TOTAL – 3,068 locations in France

Petrol Stations distribution by Region

  • Auvergne-Rhône-Alpes: 1,455 petrol stations
  • Nouvelle-Aquitaine: 1,231 petrol stations
  • Île-De-France: 1,054 petrol stations
  • Occitanie: 1,033 petrol stations
  • Grand Est: 920 petrol stations
  • Hauts-De-France: 860 petrol stations
  • Provence-Alpes-Côte D'Azur: 835 petrol stations
  • Bourgogne-Franche-Comté: 703 petrol stations
  • Normandie: 616 petrol stations
  • Bretagne: 568 petrol stations
  • Centre-Val De Loire: 526 petrol stations
  • Pays De La Loire: 494 petrol stations
  • Corse: 95 petrol stations

Direct access after purchase of the complete locations dataset for France

Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

Evaluate the dataset before purchase

A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full 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.

Frequently Asked Questions

Q: What coordinate reference system is used?

A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).

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 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: 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: 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 support expansion planning?

A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.

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.

Analyze this data with AI

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

  • "Analyze this this multi-brand dataset to identify underserved regions in France for potential market expansion."
  • "Identify this multi-brand sites with large footprints in France that are optimal candidates for EV charging infrastructure overlays."
  • "Detect clusters where this multi-brand sites are in close proximity to analyze potential self-cannibalization in France."