Lukoil Petrol Station Locations Dataset – Netherlands
Lukoil Petrol Station Locations Dataset – Netherlands
Lukoil operates several service stations in the Netherlands, particularly focused around the Rotterdam and industrial regions. It offers high-quality fuels and professional services for both private and commercial transport.
There are 67 Lukoil Petrol Stations as of 7 July 2026 in the Netherlands. 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: 67 Lukoil petrol stations in the Netherlands
- 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: 7 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
- Settlement
- Region
- Population
- Postal Code
- Address
- Popularity Score
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)93%
- Web Address93%
- Opening Hours93%
- Popularity Score100%
Data Preview: Sample geospatial records from the Lukoil dataset in Netherlands
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 889ab69... | Lukoil (Maastricht) | 50.886615 | 5.711926 | 6222 NM | 10 Ankerkade, Maastricht, 6222 NM, Ma... |
| 5e5a827... | Lukoil (Asperen) | 51.878869 | 5.098173 | 4147 EW | 10 Heukelumseweg, Asperen, 4147 EW, W... |
| 79b6ab2... | Lukoil (Eersel) | 51.357221 | 5.336449 | 5521 HG | 70 Schadewijkstraat, Eersel, 5521 HG,... |
| 535ac9d... | Lukoil (Gulpen) | 50.816170 | 5.895866 | 6271 AG | 70 Rijksweg, Gulpen, 6271 AG, Gulpen-... |
| db30a97... | Lukoil (Posterholt) | 51.127996 | 6.022679 | 6061 GB | 16a Roermondseweg, Posterholt, 6061 G... |
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 7 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 the Netherlands is found in Limburg (27 sites, equivalent to 2.38 Lukoil petrol stations per 100,000 residents). This is followed by Zuid-Holland (18 sites; 0.47 per 100,000) and Noord-Brabant (12 sites; 0.45 per 100,000). From a market-penetration perspective, Limburg has the highest brand density at 2.38 locations per 100,000 people (population: 1,135,000), making it the most saturated region for Lukoil in the Netherlands. By contrast, Utrecht records only 0.07 locations per 100,000 residents (population: 1,405,000), 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 the Netherlands
Brand bundle
Top 14 Petrol Stations Brands in the Netherlands - €360
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 the Netherlands - 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 the Netherlands: Map these Lukoil locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for the Netherlands: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Lukoil locations.
- Explore demographics data insights for the Netherlands: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for the Netherlands (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 the Netherlands - 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 the Netherlands-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 the Netherlands
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?
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- 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.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
Frequently Asked Questions
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Can this dataset be used for academic or research purposes?
A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.
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: Can this dataset be used for logistics planning?
A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.
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 the Netherlands for potential market expansion.""Identify locations where multiple Lukoil sites compete within overlapping catchment areas in the Netherlands.""Create a regional ranking of Lukoil coverage efficiency using population-to-store ratios across the Netherlands."
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.