Carrefour Supermarket Locations Dataset – Italy
Carrefour Supermarket Locations Dataset – Italy
Carrefour is a major player in the Italian retail market, operating hypermarkets, supermarkets, and Express convenience stores. It focuses on digital innovation and a strong partnership with local producers under the "Terre d’Italia" brand.
There are 1,227 Carrefour Supermarkets as of 28 May 2026 in Italy. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Carrefour 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: 1,227 Carrefour 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)78%
- Web Address77%
- Opening Hours79%
- Popularity Score100%
Data Preview: Sample geospatial records from the Carrefour dataset in Italy
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| f030051... | Carrefour Express (Milano) | 45.491191 | 9.233883 | 20121 | 5 Via Guido Mazzali, Milano, 20121, C... |
| 79f612a... | Carrefour Express (Cogoleto) | 44.382639 | 8.636222 | 16016 | 48 Via Aurelia di Ponente, Cogoleto, ... |
| 6eaaa19... | Carrefour (Pinerolo) | 44.883715 | 7.300746 | 10064 | 51 Via T. Giustetto, Pinerolo, 10064,... |
| 254e591... | Carrefour Market (Figline e Incisa Valdarno) | 43.659541 | 11.448780 | 50064 | Figline e Incisa Valdarno, 50064, Met... |
| fbb8046... | Carrefour Express (Monza) | 45.588048 | 9.266563 | 20900 | 30 Via Carlo Prina, Monza, 20900, Pro... |
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 Carrefour locations in Italy is found in Pop - Sardigna (1562381 sites). This is followed by Pop - Liguria (1510143 sites) and Pop - Abruzzo (1269118 sites). From a market-penetration perspective, Valle D'Aosta has the highest brand density at 16.67 locations per 100,000 people (population: 120,000), making it the most saturated region for Carrefour in Italy. By contrast, Veneto records only 0.02 locations per 100,000 residents (population: 4,840,000), 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Italy: Map these Carrefour 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 Carrefour 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?
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
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: Can I use this dataset for competitor benchmarking?
A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.
Q: Is this dataset suitable for market analysis?
A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Q: Can I combine this dataset with administrative boundaries?
A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.
Q: Can I use this dataset for proximity analysis?
A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.
Q: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Carrefour dataset to identify underserved regions in Italy for potential market expansion.""Analyze the relationship between Carrefour site distribution and regional economic activity across Italy.""Create a prioritized shortlist of expansion zones in Italy based on distance gaps between existing Carrefour locations."
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.