Belgium Petrol Stations Locations Dataset – Top 15 Petrol Station Brands

Belgium Petrol Stations Locations Dataset – Top 15 Petrol Station Brands

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Top 15 Petrol Station Chains Across Belgium: Premium Multi-Brand Location Dataset

Unlock a complete, ready-to-use dataset featuring the leading Petrol Station brands in Belgium. This expertly compiled Top Brands dataset consolidates all major Petrol Station chains in Belgium, delivering a clean, standardised and analysis-ready collection of 3,041 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.

Last updated: 8 July 2026.

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Admin_level_1
  • Admin_level_2
  • Commune
  • Province
  • Population
  • Postal Code
  • Address
  • Popularity Score
  • Phone
  • Website
  • Fuel Type
  • Opening hours

Brand distribution

  • AS 24 – 72 locations in Belgium
  • AVIA – 94 locations in Belgium
  • DATS 24 – 152 locations in Belgium
  • Esso – 500 locations in Belgium
  • G&V – 52 locations in Belgium
  • Gabriels – 163 locations in Belgium
  • Gulf – 126 locations in Belgium
  • Lukoil – 178 locations in Belgium
  • Maes – 133 locations in Belgium
  • Power – 52 locations in Belgium
  • Q8 – 488 locations in Belgium
  • Shell – 266 locations in Belgium
  • tankpool24 – 68 locations in Belgium
  • Texaco – 123 locations in Belgium
  • Total – 574 locations in Belgium

Petrol Stations distribution by Province

  • Province De Flandre Orientale: 462 petrol stations
  • Province D'Anvers: 431 petrol stations
  • Province De Flandre Occidentale: 411 petrol stations
  • Province De Hainaut: 374 petrol stations
  • Province Du Brabant Flamand: 323 petrol stations
  • Province De Liège: 277 petrol stations
  • Province De Limbourg: 269 petrol stations
  • Province De Namur: 165 petrol stations
  • Région De Bruxelles-Capitale: 139 petrol stations
  • Province Du Brabant Wallon: 113 petrol stations
  • Province De Luxembourg: 75 petrol stations

Direct access after purchase of the complete locations dataset for Belgium

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: Can I request the data in GeoJSON or Shapefile format?

A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.

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: 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 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 all locations in the country?

A: The dataset is designed to provide a complete and standardized list of known topbrands locations operating in Belgium as of July 2026.

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 unique identifiers?

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

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 Belgium for potential market expansion."
  • "Analyze which this multi-brand locations in Belgium are positioned in highly competitive retail zones versus standalone markets."
  • "Compare the spatial distribution of this multi-brand locations against major competitor clusters to identify overlap and whitespace opportunities in Belgium."