AS 24 Petrol Station Locations Dataset – Germany

AS 24 is a specialized subsidiary of TotalEnergies that provides tailored fueling solutions for transport professionals and heavy goods vehicles. It operates a dense network of automated, high-flow stations across Germany's primary transit routes.

There are 167 AS 24 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 AS 24 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 AS 24 dataset in Germany

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
06f7e1d...	AS 24 (Regensburg)	48.999248	12.146664	93055	10 A Robert-Bosch-Straße, Regensburg,...
0770b77...	AS 24 (Geiselwind)	49.768261	10.470662	96160	15 Scheinfelder Straße, Geiselwind, 9...
ee2a87e...	AS 24 (Röhrsdorf)	50.867862	12.852043	09247	29 Nordstraße, Chemnitz, 09247, Germany
b5784e3...	AS 24 (Schweinfurt)	50.019826	10.213681	97424	9 Straßburgstraße, Schweinfurt, 97424...
845b9fa...	AS 24 (Nordhausen)	51.486452	10.806257	99734	3 Heringer Weg, Nordhausen, 99734, Ge...

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 AS 24 locations in Germany is found in Bayern (56 sites, equivalent to 0.42 AS 24 petrol stations per 100,000 residents). This is followed by Nordrhein-Westfalen (20 sites; 0.11 per 100,000) and Baden-Württemberg (17 sites; 0.15 per 100,000). From a market-penetration perspective, Bremen has the highest brand density at 0.59 locations per 100,000 people (population: 675,000), making it the most saturated region for AS 24 in Germany. By contrast, Nordrhein-Westfalen records only 0.11 locations per 100,000 residents (population: 17,995,000), 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

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Germany: Map these AS 24 locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Germany: Overlay demographic indicators to deeply understand the population structures and household types surrounding these AS 24 locations.
• Explore demographics data insights for Germany: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Germany (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.
• Explore a rich library of Germany-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 Germany

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?

• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.

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 AS 24 dataset to identify underserved regions in Germany for potential market expansion."
• "Identify locations where multiple AS 24 sites compete within overlapping catchment areas in Germany."
• "Calculate the total population coverage for AS 24 in Germany using a 10km catchment radius around each coordinate."

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.