Keropetrol Petrol Station Locations Dataset – Italy
Keropetrol Petrol Station Locations Dataset – Italy
Keropetrol is a historic independent Italian oil company that manages a network of service stations primarily in Lombardy and the surrounding regions. It focuses on reliability and high-quality lubricants, serving both domestic and industrial energy needs.
There are 154 Keropetrol 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 Keropetrol 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: 154 Keropetrol petrol stations in Italy
- Contents: Coordinates, addresses, postal codes, administrative divisions, and contact details
- 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.

Dataset fields included in the CSV:
- GUID
- Title
- Group
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Commune
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Phone
- Website
- Fuel Type
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)50%
- Web Address38%
- Opening Hours49%
Data Preview: Sample geospatial records from the Keropetrol dataset in Italy
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 6fb8218... | Keropetrol (Rivarolo Mantovano) | 45.068876 | 10.437977 | 46017 | 4 Viale Risorgimento, Rivarolo Mantov... |
| c09773d... | Keropetrol | 40.877544 | 9.648049 | 00000 | 00000, Metropolitan City of Sassari, ... |
| c925214... | Keropetrol (Jerago Con Orago) | 45.707046 | 8.795763 | 21040 | 3 Via Milano, Jerago Con Orago, 21040... |
| fc1f81e... | Keropetrol (Milano) | 45.517495 | 9.209532 | 20126 | 199 Viale Sarca, Milano, 20126, Città... |
| b29d385... | Keropetrol (Cinisello Balsamo) | 45.545166 | 9.224918 | 20092 | Via Podgora, Cinisello Balsamo, 20092... |
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 Keropetrol locations in Italy is found in Lombardia (86 sites, equivalent to 0.86 Keropetrol petrol stations per 100,000 residents). This is followed by Piemonte (16 sites; 0.38 per 100,000) and Emilia-Romagna (14 sites; 0.31 per 100,000). From a market-penetration perspective, Lombardia has the highest brand density at 0.86 locations per 100,000 people (population: 10,025,000), making it the most saturated region for Keropetrol in Italy. By contrast, Veneto records only 0.08 locations per 100,000 residents (population: 4,840,000), 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
Brand bundle
Top 17 Petrol Stations Brands in Italy - €400
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 Italy - 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Italy: Map these Keropetrol 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 Keropetrol 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?
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- 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.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
Frequently Asked Questions
Q: Can I use this dataset for competitor benchmarking?
A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.
Q: Can this dataset be used for logistics planning?
A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.
Q: How recent is this dataset?
A: This dataset was last updated on 7 July 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Keropetrol dataset to identify underserved regions in Italy for potential market expansion.""Evaluate how evenly Keropetrol locations are distributed across provinces, districts, or municipalities in Italy.""Evaluate the balance between urban and rural coverage within the current Keropetrol network 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.