Famila Supermarket Locations Dataset – Italy

Famila is a prominent Italian supermarket and hypermarket brand operating under the Selex Commercial Group umbrella. It caters to families with a broad assortment of products and frequent promotional activities tailored to local markets.

There are 394 Famila Supermarkets as of 28 May 2026 in Italy. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Famila 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 Famila dataset in Italy

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
f5ed1e8...	Famila (Savignano sul Rubicone)	44.089050	12.386131	47039	13 Piazza Giovanni Falcone, Savignano...
8a9dfff...	Famila (Salsomaggiore Terme)	44.818672	9.993951	43039	Via Salvo D'Acquisto, Salsomaggiore T...
82aa795...	Famila Superstore (Lonato)	45.460164	10.492190	25017	Via Cesare Battisti, Lonato, 25017, P...
1bfdaa4...	Famila Superstore (Caltanissetta)	37.486523	14.048179	93100	Via Salvo D'Acquisto, Caltanissetta, ...
72a4464...	Famila	45.144911	11.353459	37049	Via Caduti del Lavoro, 37049, Provinc...

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 Famila locations in Italy is found in Lombardia (101 sites, equivalent to 1.01 Famila supermarkets per 100,000 residents). This is followed by Veneto (86 sites; 1.78 per 100,000) and Emilia-Romagna (65 sites; 1.46 per 100,000). From a market-penetration perspective, Valle D'Aosta has the highest brand density at 2.5 locations per 100,000 people (population: 120,000), making it the most saturated region for Famila in Italy. By contrast, Calabria records only 0.16 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

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Italy: Map these Famila 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 Famila 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?

• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.

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 Famila dataset to identify underserved regions in Italy for potential market expansion."
• "Rank the top-performing urban areas in Italy for future Famila expansion based on existing location density and regional population."
• "Identify isolated Famila sites in Italy that may face operational inefficiencies due to low regional clustering."

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.