EnerGas Petrol Station Locations Dataset – Italy

EnerGas Petrol Station Locations Dataset – Italy

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EnerGas is a major player in the Italian fuel market, particularly known for its extensive distribution of LPG and automotive fuels. Headquartered in Naples, it has built a large network of service stations that emphasize energy efficiency and competitive pricing.

There are 157 EnerGas 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 EnerGas 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: 157 EnerGas 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 EnerGas 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)45%
  • Web Address33%
  • Opening Hours36%

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

ID Location Title Latitude Longitude Postal Code Full Address
c354430... EnerGas (Quarto) 40.879434 14.121152 80010 167 Via Campana, Quarto, 80010, Città...
f16a8ca... EnerGas (Benevento) 41.140663 14.826867 82100 SS90bis, Benevento, 82100, Provincia ...
cbdc68f... EnerGas (Santa Maria di Leuca) 39.800553 18.367916 73040 SS275 km 38.484 dir. Nord, Santa Mari...
6b71817... EnerGas 45.468744 8.693713 28066 7 Via Vittime di Kabul, 28066, Provin...
b11f933... EnerGas (Napoli) 40.846349 14.195497 80126 405 Via dell'Epomeo, Napoli, 80126, C...

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 EnerGas locations in Italy is found in Campania (71 sites, equivalent to 1.27 EnerGas petrol stations per 100,000 residents). This is followed by Calabria (26 sites; 1.42 per 100,000) and Lazio (21 sites; 0.37 per 100,000). From a market-penetration perspective, Calabria has the highest brand density at 1.42 locations per 100,000 people (population: 1,830,000), making it the most saturated region for EnerGas in Italy. By contrast, Lombardia records only 0.01 locations per 100,000 residents (population: 10,025,000), 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?

  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • 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.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

Frequently Asked Questions

Q: Can this data be combined with demographics datasets?

A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.

Q: Does the dataset include opening hours?

A: Yes, opening hours are included where publicly available and validated during the data standardization process.

Q: Are the datasets suitable for machine learning workflows?

A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.

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 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 this dataset support expansion planning?

A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.

Q: Does the dataset include all locations in the country?

A: The dataset is designed to provide a complete and standardized list of known EnerGas locations operating in Italy as of 7 July 2026.

Q: How accurate are the coordinates?

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

Analyze this data with AI

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

  • "Analyze this EnerGas dataset to identify underserved regions in Italy for potential market expansion."
  • "Assess how effectively the current EnerGas network covers major commercial and residential hubs across Italy."
  • "Identify fast-growing suburban areas in Italy that currently have limited access to nearby petrol stations."

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.