Eni (Agip) Petrol Station Locations Dataset – Italy

Eni is Italy's leading integrated energy company, famously represented by the six-legged dog logo and its high-quality Eni service stations. It offers a premium experience with Eni Café, Eni Emporium shops, and a wide array of sustainable fuel options like HVOlution.

There are 4,523 Eni (Agip) Petrol Stations as of 7 July 2026 in Italy. 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 Italy

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
3f1a32d...	Agip	46.534649	11.492627	39040	3 Frazione Campodazzo, Campodazzo, 39...
38e7860...	Agip	45.896568	13.411027	34076	34076, Province of Gorizia, Italy
a10be38...	Agip Petroli Centro Agricolo Valentano	42.556038	11.832039	01018	01018, Provincia di Viterbo, Italy
4c7a735...	BAR ENI CAFE'	40.366255	18.162448	73100	Viale Porta d'Europa, Lecce, 73100, P...
64edeef...	ENI D. & V. snc	45.630588	9.037870	21047	19 Via Cristoforo Colombo, Saronno, 2...

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 Italy is found in Lombardia (554 sites, equivalent to 5.53 Eni (Agip) petrol stations per 100,000 residents). This is followed by Lazio (455 sites; 7.98 per 100,000) and Sicilia (440 sites; 9.11 per 100,000). From a market-penetration perspective, Valle D'Aosta has the highest brand density at 15.0 locations per 100,000 people (population: 120,000), making it the most saturated region for Eni (Agip) in Italy. By contrast, Campania records only 3.91 locations per 100,000 residents (population: 5,580,000), 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 Italy

Related geospatial datasets

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

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?

• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• 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

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 Italy for potential market expansion."
• "Map the concentration of Eni (Agip) locations relative to major retail centers and shopping districts in Italy."
• "Identify potential regional logistics bottlenecks caused by uneven geographic distribution of Eni (Agip) locations in Italy."

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.