Tamoil Petrol Station Locations Dataset – Italy

Tamoil Petrol Station Locations Dataset – Italy

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Tamoil is a major international fuel brand with a strong and long-standing presence throughout the Italian peninsula. It offers a widespread network of service stations known for their efficiency and a strong portfolio of lubricants and professional fuel cards.

There are 1,592 Tamoil 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 Tamoil 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: 1,592 Tamoil 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.

Map showing the geographical distribution of Tamoil locations in Italy

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)78%
  • Web Address78%
  • Opening Hours76%

Data Preview: Sample geospatial records from the Tamoil dataset in Italy

ID Location Title Latitude Longitude Postal Code Full Address
c794d40... Tamoil (Paderno Dugnano) 45.583667 9.175335 20037 SNC LATO DX, Paderno Dugnano, 20037, ...
189ffab... Tamoil (Farneta) 41.561787 13.351693 03023 Farneta, 03023, Provincia di Frosinon...
3c7b060... Tamoil (Piazzola sul Brenta) 45.538261 11.774970 35016 46 Via Corsica, Piazzola sul Brenta, ...
8febfbd... Tamoil (Bosco) 39.323972 16.255994 87100 43 SOTTANO, Bosco, 87100, Provincia d...
50c8aa1... Tamoil (Bisignano) 39.500825 16.273764 87043 SNC LOC. ACQUA DI FICO, Bisignano, 87...

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 Tamoil locations in Italy is found in Lombardia (311 sites, equivalent to 3.1 Tamoil petrol stations per 100,000 residents). This is followed by Piemonte (194 sites; 4.56 per 100,000) and Veneto (146 sites; 3.02 per 100,000). From a market-penetration perspective, Molise has the highest brand density at 7.37 locations per 100,000 people (population: 285,000), making it the most saturated region for Tamoil in Italy. By contrast, Sicilia records only 0.66 locations per 100,000 residents (population: 4,830,000), 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 →

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?

  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.

Frequently Asked Questions

Q: How are addresses standardized?

A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.

Q: Can this dataset be used for academic or research purposes?

A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.

Q: Can I use this dataset in GIS software?

A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.

Q: Can I use this dataset for proximity analysis?

A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.

Q: How accurate are the coordinates?

A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.

Q: Can this dataset support territory optimization?

A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.

Q: Can I request custom enrichment fields?

A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Tamoil dataset to identify underserved regions in Italy for potential market expansion."
  • "Evaluate how evenly Tamoil locations are distributed across provinces, districts, or municipalities in Italy."
  • "Identify locations where multiple Tamoil sites compete within overlapping catchment areas 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.