Esso Petrol Station Locations Dataset – Italy
Esso Petrol Station Locations Dataset – Italy
Esso operates a significant network of service stations in Italy, many of which are managed through partnerships with the EG Group. It is recognized for its advanced Synergy fuels and frequently features convenience stores like Carrefour Express or MyFood.
There are 2,441 Esso 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 Esso 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: 2,441 Esso 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)71%
- Web Address64%
- Opening Hours70%
Data Preview: Sample geospatial records from the Esso dataset in Italy
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 9a5d451... | Distributore Esso (Ceglie Messapica) | 40.642557 | 17.514510 | 72013 | Vico I Colucci, Ceglie Messapica, 720... |
| 0ccb180... | Esso (Mantova) | 45.175344 | 10.787360 | 46100 | 47/D Via Verona, Mantova, 46100, Prov... |
| df97d12... | Distributore Esso (Laghetti) | 46.283551 | 11.240640 | 39044 | 19 Via San Floriano, Laghetti, 39044,... |
| 75223b5... | Distributore Esso (Sesto San Giovanni) | 45.524519 | 9.241328 | 20099 | Sesto San Giovanni, 20099, Città metr... |
| 58ff130... | Esso (Chivasso) | 45.189991 | 7.872946 | 15060 | 80 Stradale Torino, Chivasso, 15060, ... |
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 Esso locations in Italy is found in Lombardia (361 sites, equivalent to 3.6 Esso petrol stations per 100,000 residents). This is followed by Sicilia (279 sites; 5.78 per 100,000) and Campania (221 sites; 3.96 per 100,000). From a market-penetration perspective, Valle D'Aosta has the highest brand density at 10.0 locations per 100,000 people (population: 120,000), making it the most saturated region for Esso in Italy. By contrast, Puglia records only 2.58 locations per 100,000 residents (population: 3,875,000), 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 Esso 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 Esso 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?
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- 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.
Frequently Asked Questions
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Q: Does the dataset include latitude and longitude coordinates?
A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
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: What file format is included with the download?
A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.
Q: Does the dataset contain duplicate locations?
A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Esso dataset to identify underserved regions in Italy for potential market expansion.""Cross-reference these petrol stations with urban transit data to score each location's accessibility for non-driving customers.""Measure average inter-store distance between Esso locations across different regions of 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.