tankpool24 Petrol Station Locations Dataset – Netherlands

tankpool24 Petrol Station Locations Dataset – Netherlands

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tankpool24 is a specialized network for the commercial transport sector in the Netherlands, offering high-flow pumps for trucks and heavy-duty vehicles. It provides a seamless cross-border fuel card system and automated 24-hour access at key industrial locations.

There are 87 tankpool24 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 tankpool24 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: 87 tankpool24 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.

Map showing the geographical distribution of tankpool24 locations in Netherlands

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)52%
  • Web Address53%
  • Opening Hours55%

Data Preview: Sample geospatial records from the tankpool24 dataset in Netherlands

ID Location Title Latitude Longitude Postal Code Full Address
b77130d... tankpool24 accept (Beilen) 52.859214 6.495199 9411 VR 8 Ossebroeken, Beilen, 9411 VR, Midde...
6ac0911... tankpool24 accept (Almere) 52.409149 5.254765 1332 BH 11 Dukdalfweg, Almere, 1332 BH, Almer...
3e4b46d... tankpool24 accept (Hardenberg) 52.558586 6.629259 7772 BC 31 De Nieuwe Haven, Hardenberg, 7772 ...
1155c73... Heerenveeen (Heerenveen) 52.972216 5.933135 8448 CC 6 Saturnus, Heerenveen, 8448 CC, Heer...
c3a8982... tankpool24 accept (Maartensdijk) 52.132762 5.151340 3738 ZA Maartensdijk, 3738 ZA, De Bilt, Nethe...

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 tankpool24 locations in the Netherlands is found in Gelderland (16 sites, equivalent to 0.74 tankpool24 petrol stations per 100,000 residents). This is followed by Limburg (15 sites; 1.32 per 100,000) and Noord-Brabant (13 sites; 0.49 per 100,000). From a market-penetration perspective, Drenthe has the highest brand density at 1.78 locations per 100,000 people (population: 505,000), making it the most saturated region for tankpool24 in the Netherlands. By contrast, Noord-Holland records only 0.07 locations per 100,000 residents (population: 2,990,000), 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 →

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?

  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
  • Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
  • Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

Frequently Asked Questions

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 this dataset support expansion planning?

A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.

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 data be combined with demographics datasets?

A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.

Q: What file format is included with the download?

A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.

Q: Can I preview the dataset before purchasing?

A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.

Q: How accurate are the coordinates?

A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.

Analyze this data with AI

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

  • "Analyze this tankpool24 dataset to identify underserved regions in the Netherlands for potential market expansion."
  • "Analyze proximity between tankpool24 locations and major highways, ring roads, or arterial transport corridors in the Netherlands."
  • "Using this tankpool24 data, find high-traffic retail corridors in the Netherlands with low petrol stations density for competitive positioning."

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.