tankpool24 Petrol Station Locations Dataset – Germany

tankpool24 Petrol Station Locations Dataset – Germany

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tankpool24 is a specialized B2B network providing automated fueling services for commercial fleets and heavy-duty vehicles across Germany. It offers high-flow pumps and a convenient fuel card system designed for the specific needs of professional logistics companies.

There are 640 tankpool24 Petrol Stations as of 7 July 2026 in Germany. 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: 640 tankpool24 petrol stations in Germany
  • 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 Germany

Dataset fields included in the CSV:

  • GUID
  • Title
  • Group
  • Latitude
  • Longitude
  • Street No
  • Street
  • Area
  • City
  • Admin_level_1
  • Admin_level_2
  • Gemainde
  • Federal State
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Fuel Type
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)86%
  • Web Address85%
  • Opening Hours88%
  • Popularity Score100%

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

ID Location Title Latitude Longitude Postal Code Full Address
7b7a5f3... tankpool24 (Teutschenthal) 51.448561 11.820754 06179 Lange Lauchstädter Straße, Teutschent...
c9b994e... tankpool24 (Kappel) 48.060361 9.605080 88422 1 Mühlwiesenweg, Bad Buchau, 88422, T...
83bdcf2... tankpool24 (Wismar) 53.878879 11.454612 23970 1 Querstraße, Wismar, 23970, Germany
3a34378... tankpool24 (Holthusen) 53.548599 11.353953 19075 10 Mittelweg, Holthusen, 19075, Germany
6a0a536... tankpool24 (Willsbach) 49.128585 9.364130 74182 11 Neuhausstraße, Obersulm, 74182, St...

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 Germany is found in Bayern (130 sites, equivalent to 0.98 tankpool24 petrol stations per 100,000 residents). This is followed by Nordrhein-Westfalen (113 sites; 0.63 per 100,000) and Niedersachsen (102 sites; 1.27 per 100,000). From a market-penetration perspective, Schleswig-Holstein has the highest brand density at 1.6 locations per 100,000 people (population: 2,930,000), making it the most saturated region for tankpool24 in Germany. By contrast, Hamburg records only 0.05 locations per 100,000 residents (population: 1,860,000), 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 Germany

Brand bundle

Top 16 Petrol Stations Brands in Germany - €480

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 Germany - 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?

  • 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.
  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
  • Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

Frequently Asked Questions

Q: Is this dataset useful for franchise analysis?

A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.

Q: Can I integrate this dataset into a PostgreSQL/PostGIS database?

A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.

Q: Does the dataset include opening hours?

A: Yes, opening hours are included where publicly available and validated during the data standardization process.

Q: Does the dataset include all locations in the country?

A: The dataset is designed to provide a complete and standardized list of known tankpool24 locations operating in Germany as of 7 July 2026.

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: Are postal codes included for all locations?

A: Postal codes are included wherever available and validated as part of the standardization workflow.

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: 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.

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 Germany for potential market expansion."
  • "Assess how effectively the current tankpool24 network covers major commercial and residential hubs across Germany."
  • "Analyze the relationship between tankpool24 site distribution and regional economic activity across Germany."

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.