Eurospin Supermarket Locations Dataset – Italy

Eurospin is the largest Italian-owned discount chain, specializing in the "intelligent shopping" model with a strictly private-label assortment. It has a massive presence across the entire peninsula and focuses on eliminating unnecessary costs to lower prices.

There are 1,338 Eurospin Supermarkets as of 4 August 2026 in Italy. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Eurospin 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 Eurospin dataset in Italy

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
aeffaa0...	Eurospin (Taurisano)	39.963326	18.208871	73056	Via Casarano, Taurisano, 73056, Provi...
aa97e83...	Eurospin	45.422545	9.175394	20142	5 Via Fabrizio de Andrè, 20142, Città...
155e5e1...	Eurospin (Reggio Emilia)	44.684268	10.670251	42122	1/A Via Cesare Lombroso, Reggio Emili...
d762dae...	Eurospin	37.424827	15.060035	95121	123 Via Alfredo Agosta, 95121, Città ...
bfac68a...	Eurospin	45.492869	10.881615	37026	30 Via Brennero, 37026, Provincia di ...

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 Eurospin locations in Italy is found in Lazio (160 sites, equivalent to 2.8 Eurospin supermarkets per 100,000 residents). This is followed by Lombardia (144 sites; 1.44 per 100,000) and Sicilia (130 sites; 2.69 per 100,000). From a market-penetration perspective, Sardigna has the highest brand density at 5.06 locations per 100,000 people (population: 1,560,000), making it the most saturated region for Eurospin in Italy. By contrast, Campania records only 1.34 locations per 100,000 residents (population: 5,580,000), 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

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Italy: Map these Eurospin 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 Eurospin 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.
• 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.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• 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 Eurospin dataset to identify underserved regions in Italy for potential market expansion."
• "Identify high-income or high-density residential zones in Italy that currently lack nearby Eurospin locations."
• "Analyze proximity between Eurospin locations and major highways, ring roads, or arterial transport corridors 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.