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Description
All Petrol Station Locations in Italy: Complete Geographic Dataset Available for DownloadAll Petrol Stations locations in Italy complete national dataset This dataset contains a complete, geocoded collection of Petrol Stations in Italy, including branded chains and independent locations. It provides a complete national coverage with 33,814 verified locations suitable for territory planning, market sizing and spatial analysis. Last updated: 3 February 2026. Dataset fields included in the CSV: GUID Title Latitude Longitude Street No Street
All Petrol Stations locations in Italy — complete national dataset
This dataset contains a complete, geocoded collection of Petrol Stations in Italy, including branded chains and independent locations. It provides a complete national coverage with 33,814 verified locations suitable for territory planning, market sizing and spatial analysis.
Last updated: 3 February 2026.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Commune
- Region
- Postal Code
- Address
- Wheelchair
Brand distribution
- AS 24 – 193 locations in Italy
- Beyfin – 117 locations in Italy
- Costantin – 116 locations in Italy
- EnerGas – 146 locations in Italy
- Eni (Agip) – 4,601 locations in Italy
- Esso – 2,377 locations in Italy
- Europam – 182 locations in Italy
- Ewa – 190 locations in Italy
- IP – 4,931 locations in Italy
- Keropetrol – 151 locations in Italy
- Q8 – 3,016 locations in Italy
- Retitalia – 192 locations in Italy
- Shell – 177 locations in Italy
- Star Oil – 138 locations in Italy
- Tamoil – 1,578 locations in Italy
- Vega – 128 locations in Italy
Petrol Stations distribution by Region
- Abruzzo: 1,061 petrolstations
- Calabria: 1,169 petrolstations
- Campania: 2,864 petrolstations
- Emilia-Romagna: 2,813 petrolstations
- Friuli-Venezia Giulia: 709 petrolstations
- Lazio: 3,327 petrolstations
- Liguria: 736 petrolstations
- Lombardia: 4,169 petrolstations
- Marche: 1,300 petrolstations
- Piemonte: 2,541 petrolstations
- Puglia: 2,282 petrolstations
- Sicilia: 2,791 petrolstations
- Toscana: 2,369 petrolstations
- Trentino-Alto Adige: 581 petrolstations
- Umbria: 701 petrolstations
- Veneto: 2,781 petrolstations
- Sardigna: 831 petrolstations
- Basilicata: 384 petrolstations
- Molise: 253 petrolstations
- Valle D'Aosta: 91 petrolstations
Instant download of the complete locations dataset for Italy
Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.
Evaluate the dataset before purchase
A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.
Learn more about the brand network in our report: View Report
Related datasets and resources
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- Demographics dataset for Italy (population, households, age, income): Detailed socio-economic indicators at granular geographic levels. Perfect for market sizing, modelling, demand forecasting, and neighbourhood-level insights.
- Explore demographics data insights for Italy: Methodology, use cases, definitions, and examples explaining how to use demographic and geospatial datasets for analysis and decision-making.
- Income indicators dataset for Italy (small-area income analysis): Download a comprehensive 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, high-resolution wealth and income indicators, multi-level administrative boundaries, and a broad spectrum of Points of Interest including major brands and retail locations — all designed to power market analysis, spatial planning, and location intelligence. View 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 [email protected].
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