Maes Petrol Station Locations Dataset – Belgium

Maes is a prominent independent family-owned fuel company based in Bornem with a network spanning all of Belgium. It is recognized for its Maes fuel card and for being a major regional competitor to the large international oil groups.

There are 133 Maes 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 Maes 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 Maes dataset in Belgium

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
cfb84e5...	Maes (BRUSSEL)	50.872073	4.399822	1140	171 Avenue Henri Conscience, BRUSSEL,...
1b621d7...	Maes (Diest)	50.995886	5.071371	3290	148 Diestsebaan, Diest, 3290, Vlaams-...
086ee60...	Maes (Dilbeek)	50.839182	4.205667	1703	839 Ninoofsesteenweg, Dilbeek, 1703, ...
4790cad...	Maes (Nazareth-De Pinte)	50.995848	3.658398	9840	103 Baron de Gieylaan, Nazareth-De Pi...
e8203ad...	Maes (Aarschot)	50.968150	4.894133	3202	110 Tieltseweg, Aarschot, 3202, Vlaam...

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 Maes locations in Belgium is found in Province D'Anvers (36 sites, equivalent to 1.87 Maes petrol stations per 100,000 residents). This is followed by Province Du Brabant Flamand (31 sites; 2.58 per 100,000) and Province De Flandre Orientale (22 sites; 1.38 per 100,000). From a market-penetration perspective, Province Du Brabant Flamand has the highest brand density at 2.58 locations per 100,000 people (population: 1,200,000), making it the most saturated region for Maes in Belgium. By contrast, Province De Namur records only 0.2 locations per 100,000 residents (population: 505,000), 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 Maes 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 Maes 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?

• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.

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 Maes dataset to identify underserved regions in Belgium for potential market expansion."
• "Identify Maes sites with large footprints in Belgium that are optimal candidates for EV charging infrastructure overlays."
• "Identify strategic locations in Belgium where new Maes sites could maximize geographic coverage while minimizing overlap."

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.