Locations of All Sites of the Top 14 Petrol Station Brands in Netherlands: Dataset Available for Download

Top 14 Petrol Station Chains Across the Netherlands: Premium Multi-Brand Location Dataset

Unlock a complete, ready-to-use dataset featuring the leading Petrol Station brands in the Netherlands. This expertly compiled Top Brands dataset consolidates all major Petrol Station chains in the Netherlands, delivering a clean, standardised and analysis-ready collection of 3,616 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.

Last updated: 8 May 2026.

Dataset fields included in the CSV:

• GUID
• Title
• Latitude
• Longitude
• Street No
• Street
• City
• Admin_level_1
• Admin_level_2
• Settlement
• Region
• Postal Code
• Address

Brand distribution

• Argos – 251 locations in the Netherlands
• AVIA – 356 locations in the Netherlands
• bp – 327 locations in the Netherlands
• Esso – 516 locations in the Netherlands
• Haan – 73 locations in the Netherlands
• Lukoil – 65 locations in the Netherlands
• OG Clean Fuels – 69 locations in the Netherlands
• Shell – 579 locations in the Netherlands
• Tamoil – 196 locations in the Netherlands
• Tango – 197 locations in the Netherlands
• tankpool24 – 86 locations in the Netherlands
• Texaco – 101 locations in the Netherlands
• TinQ – 412 locations in the Netherlands
• Total – 388 locations in the Netherlands

Petrol Stations distribution by Region

• Noord-Brabant: 582 petrolstations
• Zuid-Holland: 541 petrolstations
• Gelderland: 526 petrolstations
• Noord-Holland: 443 petrolstations
• Limburg: 290 petrolstations
• Overijssel: 288 petrolstations
• Fryslân: 232 petrolstations
• Utrecht: 221 petrolstations
• Groningen: 163 petrolstations
• Drenthe: 158 petrolstations
• Zeeland: 110 petrolstations
• Flevoland: 62 petrolstations

Instant download of the complete locations dataset for the Netherlands

Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

Evaluate the dataset before purchase

A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.

Learn more about the brand network in our report: View Report

Related datasets and resources

• Administrative boundaries and full polygon dataset for the Netherlands: High-precision, ready-to-download boundary polygons covering all administrative levels — ideal for geospatial mapping, territorial analysis, and data enrichment.
• Demographics dataset for the Netherlands (population, households, age, income): Detailed socio-economic indicators at granular geographic levels. Perfect for market sizing, modelling, demand forecasting, and neighbourhood-level insights.
• Explore demographics data insights for the Netherlands: Methodology, use cases, definitions, and examples explaining how to use demographic and geospatial datasets for analysis and decision-making.
• Income indicators dataset for the Netherlands (small-area income analysis): Download a comprehensive 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, high-resolution wealth and income indicators, multi-level administrative boundaries, and a broad spectrum of Points of Interest including major brands and retail locations — all designed to power market analysis, spatial planning, and location intelligence. View 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.