All Petrol Station Locations in the Netherlands: Complete Geographic Dataset
All Petrol Station Locations in the Netherlands: Complete Geographic Dataset
All Petrol Stations locations in the Netherlands - complete national dataset
This dataset contains a complete, geocoded collection of Petrol Stations in the Netherlands, including branded chains and independent locations. It provides a complete national coverage with 5,435 verified locations suitable for territory planning, market sizing and spatial analysis.
Last updated: 7 July 2026.
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
Brand distribution
- Argos – 268 locations in the Netherlands
- AVIA – 374 locations in the Netherlands
- bp – 310 locations in the Netherlands
- Esso – 529 locations in the Netherlands
- Haan – 75 locations in the Netherlands
- Lukoil – 67 locations in the Netherlands
- OG Clean Fuels – 89 locations in the Netherlands
- Shell – 585 locations in the Netherlands
- Tamoil – 204 locations in the Netherlands
- Tango – 197 locations in the Netherlands
- tankpool24 – 87 locations in the Netherlands
- Texaco – 102 locations in the Netherlands
- TinQ – 435 locations in the Netherlands
- Total – 392 locations in the Netherlands
Petrol Stations distribution by Region
- Drenthe: 244 petrol stations
- Flevoland: 109 petrol stations
- Fryslân: 356 petrol stations
- Gelderland: 794 petrol stations
- Groningen: 218 petrol stations
- Limburg: 397 petrol stations
- Noord-Brabant: 871 petrol stations
- Noord-Holland: 632 petrol stations
- Overijssel: 466 petrol stations
- Utrecht: 305 petrol stations
- Zeeland: 188 petrol stations
- Zuid-Holland: 855 petrol stations
Direct access after purchase 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.
Related geospatial datasets
- Administrative boundaries and full polygon dataset for the Netherlands: Map these petrol stations 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 petrol stations 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.
Frequently Asked Questions
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: How are addresses standardized?
A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly 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 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.
Q: Does the dataset contain duplicate locations?
A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.
Q: How recent is this dataset?
A: This dataset was last updated on July 2026 and is periodically refreshed through automated collection and validation workflows.
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.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this this multi-brand dataset to identify underserved regions in the Netherlands for potential market expansion.""Identify this multi-brand sites with large footprints in the Netherlands that are optimal candidates for EV charging infrastructure overlays.""Cross-reference these petrol stations with urban transit data to score each location's accessibility for non-driving customers."