TOTAL Petrol Station Locations Dataset – France
TOTAL Petrol Station Locations Dataset – France
TotalEnergies is the market leader in France with the country's most extensive network of service stations ranging from motorways to city centers. It is currently transitioning many sites to offer multi-energy solutions including high-power electric vehicle charging.
There are 3,068 TOTAL 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 TOTAL 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: 3,068 TOTAL 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.
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)93%
- Web Address92%
- Opening Hours88%
- Popularity Score100%
Data Preview: Sample geospatial records from the TOTAL dataset in France
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 4d08c50... | TotalEnergies (Prunay-en-Yvelines) | 48.571244 | 1.831892 | 78660 | Hameau De L'abbe, Prunay-en-Yvelines,... |
| 06ca4d6... | TOTAL (Marseille) | 43.263085 | 5.393272 | 13008 | 265 Avenue de Mazargues, Marseille, 1... |
| 29ed629... | TotalEnergies (Lannilis) | 48.574961 | -4.511280 | 29870 | Kerlouis, Lannilis, 29870, Finistère,... |
| 10b8578... | TotalEnergies (Lorient) | 47.761675 | -3.377480 | 56100 | 3 Avenue Simone Veil, Lorient, 56100,... |
| 1c03dda... | TotalEnergies (Montréjeau) | 43.087274 | 0.575955 | 31210 | Avenue de Saint-Gaudens, Montréjeau, ... |
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 TOTAL locations in France is found in Auvergne-Rhône-Alpes (410 sites, equivalent to 4.9 TOTAL petrol stations per 100,000 residents). This is followed by Nouvelle-Aquitaine (370 sites; 5.94 per 100,000) and Île-De-France (335 sites; 2.66 per 100,000). From a market-penetration perspective, Corse has the highest brand density at 19.44 locations per 100,000 people (population: 355,000), making it the most saturated region for TOTAL in France. By contrast, Île-De-France records only 2.66 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for France: Map these TOTAL 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 TOTAL 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 contact@geolocet.com.
Who uses this data?
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- 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.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
Frequently Asked Questions
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 TOTAL locations operating in France as of 7 July 2026.
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: What file format is included with the download?
A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.
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 TOTAL 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 TOTAL locations.""Analyze which TOTAL locations in France are positioned in highly competitive retail zones versus standalone markets."
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.