Esso Petrol Station Locations Dataset – Belgium
Esso Petrol Station Locations Dataset – Belgium
Esso is a major fuel brand in Belgium operated by ExxonMobil, featuring a widespread network of both manned and automated stations. Many of its locations are partnered with the EG Group and feature shops like Carrefour Express or SPAR.
There are 500 Esso 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 Esso 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: 500 Esso petrol stations in Belgium
- 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: 8 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
- 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
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)80%
- Web Address88%
- Opening Hours83%
- Popularity Score100%
Data Preview: Sample geospatial records from the Esso dataset in Belgium
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 53991fd... | Esso Express (Ranst) | 51.152284 | 4.580125 | 2520 | 122 Liersesteenweg, Ranst, 2520, Antw... |
| f390555... | Esso (Blankenberge) | 51.299841 | 3.147027 | 8370 | 67 Brugse Steenweg, Blankenberge, 837... |
| c78e7cd... | Esso Express (Maldegem) | 51.202559 | 3.451383 | 9990 | 104 Aalterbaan, Maldegem, 9990, Oost-... |
| 369d00a... | Esso Express (Varsenare) | 51.180511 | 3.138078 | 8490 | 195 Gistelsteenweg, Jabbeke, 8490, We... |
| 7ca9a02... | Esso Express (Lint) | 51.126224 | 4.505521 | 2547 | 153 Liersesteenweg, Lint, 2547, Antwe... |
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 8 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 Esso locations in Belgium is found in Province De Hainaut (88 sites, equivalent to 6.45 Esso petrol stations per 100,000 residents). This is followed by Province D'Anvers (78 sites; 4.06 per 100,000) and Province De Flandre Occidentale (67 sites; 5.45 per 100,000). From a market-penetration perspective, Province De Hainaut has the highest brand density at 6.45 locations per 100,000 people (population: 1,365,000), making it the most saturated region for Esso in Belgium. By contrast, Région De Bruxelles-Capitale records only 1.51 locations per 100,000 residents (population: 1,255,000), 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
Brand bundle
Top 15 Petrol Stations Brands in Belgium - €280
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 Belgium - 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 Belgium: Map these Esso 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 Esso 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?
- 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.
- 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.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- 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.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
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: How recent is this dataset?
A: This dataset was last updated on 8 July 2026 and is periodically refreshed through automated collection and validation workflows.
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: Is this dataset suitable for market analysis?
A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Esso dataset to identify underserved regions in Belgium for potential market expansion.""Measure average inter-store distance between Esso locations across different regions of Belgium.""Identify strategic locations in Belgium where new Esso 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.