Tamoil Petrol Station Locations Dataset – Netherlands

Tamoil Nederland operates over 200 service stations, focusing on providing high-quality fuels at competitive prices. It serves both private motorists and business customers through an efficient network that spans the entire country.

There are 204 Tamoil 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 Tamoil locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Tamoil dataset in Netherlands

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
7972f39...	Tamoil Express (Rockanje)	51.874134	4.074764	3235 XD	8 Middeldijk, Rockanje, 3235 XD, Voor...
8f0c75c...	Tamoil Express (Nieuwe-Tonge)	51.716039	4.167459	3244 AJ	53 Kerkstraat, Nieuwe-Tonge, 3244 AJ,...
db73367...	Tamoil (Den Helder)	52.944437	4.769458	1785 AG	15 Industrieweg, Den Helder, 1785 AG,...
9a64941...	Tamoil Express (Emmen)	52.777718	6.951982	7826 TC	21 Handelsweg, Emmen, 7826 TC, Emmen,...
9257305...	Tamoil Express (Aduard)	53.255258	6.460361	9831 PW	24 Burgemeester Seinenstraat, Aduard,...

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Tamoil locations in the Netherlands is found in Noord-Brabant (47 sites, equivalent to 1.77 Tamoil petrol stations per 100,000 residents). This is followed by Groningen (21 sites; 3.5 per 100,000) and Noord-Holland (20 sites; 0.67 per 100,000). From a market-penetration perspective, Zeeland has the highest brand density at 3.59 locations per 100,000 people (population: 390,000), making it the most saturated region for Tamoil in the Netherlands. By contrast, Utrecht records only 0.36 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

Related geospatial datasets

• Administrative boundaries and full polygon dataset for the Netherlands: Map these Tamoil 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 Tamoil 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?

• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• 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.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.

Frequently Asked Questions

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

• "Analyze this Tamoil dataset to identify underserved regions in the Netherlands for potential market expansion."
• "Identify potential regional logistics bottlenecks caused by uneven geographic distribution of Tamoil locations in the Netherlands."
• "Analyze geographic gaps in the current Tamoil network and identify underserved regions in the Netherlands with strong expansion potential."

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.