Eni (Agip) Petrol Station Locations Dataset – Germany

Eni operates a significant network in Germany, historically known under the Agip brand and featuring the famous six-legged dog logo. The stations offer premium fuels and a high standard of Italian-style "Eni Café" convenience services.

There are 313 Eni (Agip) 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 Eni (Agip) 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 Eni (Agip) dataset in Germany

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
1e50552...	Agip	48.983756	10.196195	73479	A7, Ellwangen (Jagst), 73479, Stuttga...
58c415d...	Agip	48.585035	10.177275	89537	A7, Giengen an der Brenz, 89537, Stut...
3b3f921...	Agip Service Station	48.447492	13.039310	84364	3 Landstraße, Bad Birnbach, 84364, Ni...
486e9c3...	Agip Service Station	48.566620	9.308740	72661	30 Nürtinger Straße, Grafenberg, 7266...
e1fdec3...	Eni	49.360777	11.202092	90530	Wendelstein, 90530, Middle Franconia,...

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 Eni (Agip) locations in Germany is found in Bayern (120 sites, equivalent to 0.91 Eni (Agip) petrol stations per 100,000 residents). This is followed by Baden-Württemberg (67 sites; 0.6 per 100,000) and Hessen (34 sites; 0.54 per 100,000). From a market-penetration perspective, Bayern has the highest brand density at 0.91 locations per 100,000 people (population: 13,230,000), making it the most saturated region for Eni (Agip) in Germany. By contrast, Niedersachsen records only 0.02 locations per 100,000 residents (population: 8,055,000), 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

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• Demographics dataset for Germany: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Eni (Agip) locations.
• Explore demographics data insights for Germany: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
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• 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?

• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.

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 Eni (Agip) dataset to identify underserved regions in Germany for potential market expansion."
• "Identify regions in Germany where Eni (Agip) has a disproportionately strong or weak presence relative to population density."
• "Evaluate the balance between urban and rural coverage within the current Eni (Agip) network in 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.