Vega Petrol Station Locations Dataset – Italy

Vega is a regional independent Italian retailer based in the Veneto region, recognizable by its clean, modern white-and-green branding. It focuses on a low-price, "no-frills" model with efficient automated stations and high-quality fuels.

There are 140 Vega 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 Vega locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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.

Data Quality Scorecard

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

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
79b1e62...	Vega	44.533388	11.182328	40056	30 Via Lunga, 40056, Città Metropolit...
da056ff...	Vega	44.922690	9.889890	29017	Strada Statale 9 Via Emilia, 29017, P...
4eb0978...	Vega	45.549964	12.294679	30020	2 Via della Costituzione, 30020, Citt...
a8f03e3...	Vega	45.233746	7.973784	10037	SP90, 10037, Città Metropolitana di T...
e216a4e...	Vega (Reggio Emilia)	44.675732	10.602770	42123	4 Via Inghilterra, Reggio Emilia, 421...

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Vega locations in Italy is found in Veneto (78 sites, equivalent to 1.61 Vega petrol stations per 100,000 residents). This is followed by Emilia-Romagna (37 sites; 0.83 per 100,000) and Friuli-Venezia Giulia (9 sites; 0.76 per 100,000). From a market-penetration perspective, Veneto has the highest brand density at 1.61 locations per 100,000 people (population: 4,840,000), making it the most saturated region for Vega in Italy. By contrast, Calabria records only 0.05 locations per 100,000 residents (population: 1,830,000), 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

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• Administrative boundaries and full polygon dataset for Italy: Map these Vega locations against highly precise administrative polygons for territory analysis and spatial structuring.
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• Explore demographics data insights for Italy: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
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• 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?

• 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.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

Frequently Asked Questions

Analyze this data with AI

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

• "Analyze this Vega dataset to identify underserved regions in Italy for potential market expansion."
• "Analyze the clustering behavior of Vega locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
• "Identify regions in Italy where Vega has a disproportionately strong or weak presence relative to population density."

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.