G&V Petrol Station Locations Dataset – Belgium

G&V Energy Group is the largest independent player in the Belgian petrol station market, operating a modern network of stations. They are well-known for their multi-brand "Caps" fuel card and partnerships with brands like Esso and Shell.

There are 52 G&V Petrol Stations as of 8 July 2026 in Belgium. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all G&V locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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.

Data Quality Scorecard

Data Preview: Sample geospatial records from the G&V dataset in Belgium

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
dc970e3...	G&V (Tournai)	50.618995	3.330553	7522	37 Rue de la Terre A Briques, Tournai...
7b098ee...	G&V (Kortrijk)	50.836381	3.262378	8500	2 Brugsesteenweg, Kortrijk, 8500, Wes...
97dca71...	G&V (Eupen)	50.647412	6.002829	4700	325 Rue de Herbesthal, Eupen, 4700, L...
c48b334...	G&V (Waregem)	50.881937	3.370490	8792	107 Waregemstraat, Waregem, 8792, Wes...
63b2c1b...	G&V (Bruges)	51.306033	3.246510	8380	Bruges, 8380, West Flanders, Belgium

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of G&V locations in Belgium is found in Province De Flandre Occidentale (25 sites, equivalent to 2.03 G&V petrol stations per 100,000 residents). This is followed by Province De Hainaut (8 sites; 0.59 per 100,000) and Province D'Anvers (7 sites; 0.36 per 100,000). From a market-penetration perspective, Province De Flandre Occidentale has the highest brand density at 2.03 locations per 100,000 people (population: 1,230,000), making it the most saturated region for G&V in Belgium. By contrast, Province Du Brabant Flamand records only 0.08 locations per 100,000 residents (population: 1,200,000), 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 Belgium

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Belgium: Map these G&V locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Belgium: Overlay demographic indicators to deeply understand the population structures and household types surrounding these G&V locations.
• Explore demographics data insights for Belgium: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Belgium (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 Belgium - 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 Belgium-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 Belgium

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.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.

Frequently Asked Questions

Analyze this data with AI

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

• "Analyze this G&V dataset to identify underserved regions in Belgium for potential market expansion."
• "Evaluate the balance between urban and rural coverage within the current G&V network in Belgium."
• "Identify locations where multiple G&V sites compete within overlapping catchment areas in Belgium."

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.