Famila Supermarket Locations Dataset – Italy
SKU: 58309327203

Famila Supermarket Locations Dataset – Italy

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Description

Famila Supermarket Locations Dataset – ItalyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI 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

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 Summary

  • Dataset Coverage: 394 Famila supermarkets in Italy
  • Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
  • 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: 28 May 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.

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Admin_level_1
  • Admin_level_2
  • Commune
  • Region
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)85%
  • Web Address84%
  • Opening Hours86%
  • Popularity Score100%

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.

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 28 May 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 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

Brand bundle

Top 13 Grocery Brands in Italy - €300

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 Grocery 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 [email protected].

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

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: Does the dataset contain duplicate locations?

A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.

Q: How recent is this dataset?

A: This dataset was last updated on 28 May 2026 and is periodically refreshed through automated collection and validation workflows.

Q: Can this dataset be used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

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.

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SKU: 58309327203

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This is the best dog toy ever! I have a Cockapoo that is 8 years old but thinks she is 2. She chews up everything so I've gone thru a lot of dog toys. This toy has lasted 6 months - truly record breaking for her. It's become all raggy so time to get a new one. Thank you Nocciola for inventing a quality fun toy that lasts. Photo shows toy after 6 mo. of playing tug of war!
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JJ
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DriftChick
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