Lukoil Petrol Station Locations Dataset – Belgium
Lukoil Petrol Station Locations Dataset – Belgium
Lukoil Belgium is a significant subsidiary of the Russian multinational energy corporation, managing an extensive network of service stations acquired from Jet. It offers high-quality fuels and frequently includes Carrefour Express convenience stores at its locations.
There are 178 Lukoil 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 Lukoil 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: 178 Lukoil 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)96%
- Web Address98%
- Opening Hours97%
- Popularity Score100%
Data Preview: Sample geospatial records from the Lukoil dataset in Belgium
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 73d6863... | Lukoil (Schilde) | 51.246994 | 4.599254 | 2970 | 478 Turnhoutsebaan, Schilde, 2970, An... |
| 8665795... | Lukoil (Bruxelles) | 50.796135 | 4.347167 | 1180 | Bruxelles, 1180, Belgium |
| eefb7f7... | Lukoil (Nazareth-De Pinte) | 50.994729 | 3.683084 | 9840 | 16 Grote Steenweg, Nazareth-De Pinte,... |
| 695571e... | Lukoil (Bruxelles) | 50.888666 | 4.386873 | 1120 | 21 Chaussée de Vilvorde, Bruxelles, 1... |
| db538ba... | Lukoil (Sint-Genesius-Rode) | 50.745221 | 4.353961 | 1640 | 140 Zoniënwoudlaan, Sint-Genesius-Rod... |
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 Lukoil locations in Belgium is found in Province Du Brabant Flamand (30 sites, equivalent to 2.5 Lukoil petrol stations per 100,000 residents). This is followed by Province D'Anvers (26 sites; 1.35 per 100,000) and Province De Limbourg (20 sites; 2.22 per 100,000). From a market-penetration perspective, Province Du Brabant Wallon has the highest brand density at 2.65 locations per 100,000 people (population: 415,000), making it the most saturated region for Lukoil in Belgium. By contrast, Province De Luxembourg records only 0.68 locations per 100,000 residents (population: 295,000), 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 Lukoil 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 Lukoil 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?
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- 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.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
Frequently Asked Questions
Q: Are the datasets suitable for machine learning workflows?
A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
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.
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: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Does the dataset include latitude and longitude coordinates?
A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.
Q: Can this dataset be imported into Power BI or Tableau?
A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.
Q: Can I use this dataset for competitor benchmarking?
A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Lukoil dataset to identify underserved regions in Belgium for potential market expansion.""Analyze geographic gaps in the current Lukoil network and identify underserved regions in Belgium with strong expansion potential.""Identify strategic locations in Belgium where new Lukoil 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.