tankpool24 Petrol Station Locations Dataset – Denmark

tankpool24 is a specialized fueling network for the commercial transport sector, offering heavy-duty pumps and 24/7 access for trucks and fleets. It provides a convenient cross-border fuel card solution for professional drivers operating throughout Denmark and Europe.

There are 71 tankpool24 Petrol Stations as of 8 July 2026 in Denmark. 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 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 tankpool24 dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
486bd75...	tankpool24 (Aabenraa)	55.046539	9.424796	6200	16 Kilen, Aabenraa, 6200, Denmark
105d0a9...	tankpool24 (Aarhus Centrum)	56.140753	10.216799	8000	7 Østhavnsvej, Aarhus, 8000, Denmark
f1d1f1e...	tankpool24 (Randers SV)	56.430539	10.053395	8940	10 Messingvej, Randers, 8940, Denmark
f7ed7b8...	tankpool24 (Ishøj)	55.623482	12.321522	2626	19 Vejleåvej, Ishøj, 2626, Denmark
cc8ba35...	tankpool24 (Hedensted)	55.789426	9.674314	8722	2 Lundagervej, Hedensted, 8722, Denmark

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 tankpool24 locations in Denmark is found in Region Midtjylland (25 sites, equivalent to 1.81 tankpool24 petrol stations per 100,000 residents). This is followed by Region Syddanmark (16 sites; 1.29 per 100,000) and Region Hovedstaden (11 sites; 0.57 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 1.86 locations per 100,000 people (population: 590,000), making it the most saturated region for tankpool24 in Denmark. By contrast, Region Hovedstaden records only 0.57 locations per 100,000 residents (population: 1,940,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Denmark

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Denmark: Map these tankpool24 locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Denmark: Overlay demographic indicators to deeply understand the population structures and household types surrounding these tankpool24 locations.
• Explore demographics data insights for Denmark: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Denmark (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 Denmark - 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 Denmark-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 Denmark

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?

• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.

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 tankpool24 dataset to identify underserved regions in Denmark for potential market expansion."
• "Map the concentration of tankpool24 locations relative to major retail centers and shopping districts in Denmark."
• "Identify tankpool24 sites with large footprints in Denmark that are optimal candidates for EV charging infrastructure overlays."

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.