Esselunga Supermarket Locations Dataset – Italy

Esselunga Supermarket Locations Dataset – ItalyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Esselunga is a leading Italian premium supermarket chain, renowned for its high quality fresh departments and innovative loyalty programs. Headquartered in Milan, it is a dominant force in the Lombardy region and known for its "Fdaty" card. There are 202 Esselunga Supermarkets as of 28 May 2026 in Italy. This

Esselunga is a leading Italian premium supermarket chain, renowned for its high-quality fresh departments and innovative loyalty programs. Headquartered in Milan, it is a dominant force in the Lombardy region and known for its "Fìdaty" card.

There are 202 Esselunga Supermarkets as of 28 May 2026 in Italy. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Esselunga 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 Esselunga dataset in Italy

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 Esselunga locations in Italy is found in Pop - Liguria (1510143 sites). This is followed by Lombardia (119 sites; 1.19 per 100,000) and Toscana (31 sites; 0.85 per 100,000). From a market-penetration perspective, Lombardia has the highest brand density at 1.19 locations per 100,000 people (population: 10,025,000), making it the most saturated region for Esselunga in Italy. By contrast, Lazio records only 0.05 locations per 100,000 residents (population: 5,705,000), 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 Esselunga 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 Esselunga 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 [email protected].

Who uses this data?

• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.

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 Esselunga dataset to identify underserved regions in Italy for potential market expansion."
• "Identify municipalities in Italy with strong demographic potential but no nearby Esselunga presence."
• "Identify fast-growing suburban areas in Italy that currently have limited access to nearby supermarkets."

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.