Gulf Petrol Station Locations Dataset – Belgium

Gulf has a long-standing history in the Belgian market, operating through independent licensees and regional distributors. The stations are recognized by the iconic orange disc logo and provide a range of fuels and lubricants.

There are 126 Gulf 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 Gulf 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 Gulf dataset in Belgium

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
c39df73...	Gulf (Oud-Turnhout)	51.299525	5.025249	2360	26 Donk, Oud-Turnhout, 2360, Antwerpe...
a49e8d4...	Gulf (Antwerpen)	51.205892	4.901855	2460	21 Olensteenweg, Antwerpen, 2460, Ant...
82d2441...	Gulf (Heist-op-den-Berg)	51.100017	4.746670	2222	23 Krombeekweg, Heist-op-den-Berg, 22...
0653ffc...	Gulf (Hasselt)	50.939547	5.303967	3511	351 Kuringersteenweg, Hasselt, 3511, ...
a1e3fc1...	Gulf (Bilzen-Hoeselt)	50.865924	5.507084	3740	37 Tongersestraat, Bilzen-Hoeselt, 37...

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 Gulf locations in Belgium is found in Province De Limbourg (30 sites, equivalent to 3.33 Gulf petrol stations per 100,000 residents). This is followed by Province D'Anvers (22 sites; 1.15 per 100,000) and Province De Flandre Orientale (20 sites; 1.25 per 100,000). From a market-penetration perspective, Province De Limbourg has the highest brand density at 3.33 locations per 100,000 people (population: 900,000), making it the most saturated region for Gulf in Belgium. By contrast, Province De Liège records only 0.18 locations per 100,000 residents (population: 1,120,000), 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 Gulf 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 Gulf 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?

• 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.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• 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.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.

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 Gulf dataset to identify underserved regions in Belgium for potential market expansion."
• "Evaluate how evenly Gulf locations are distributed across provinces, districts, or municipalities in Belgium."
• "Analyze geographic gaps in the current Gulf network and identify underserved regions in Belgium with strong expansion potential."

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.