Belgium Grocery Locations Dataset – Top 13 Supermarket Brands
Belgium Grocery Locations Dataset – Top 13 Supermarket Brands
Top 13 Supermarket Chains Across Belgium: Premium Multi-Brand Location Dataset
Unlock a complete, ready-to-use dataset featuring the leading Supermarket brands in Belgium. This expertly compiled Top Brands dataset consolidates all major Supermarket chains in Belgium, delivering a clean, standardised and analysis-ready collection of 3,880 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.
Last updated: 26 May 2026.
Dataset fields included in the CSV:
- GUID
- Title
- Group
- Latitude
- Longitude
- Street No
- Street
- Area
- City
- Admin_level_1
- Admin_level_2
- Commune
- Province
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Brand distribution
- ALDI – 459 locations in Belgium
- Bio-Planet – 40 locations in Belgium
- Carrefour – 726 locations in Belgium
- Collect&Go – 281 locations in Belgium
- Colruyt – 273 locations in Belgium
- Delhaize Group – 875 locations in Belgium
- Intermarché – 163 locations in Belgium
- Jumbo – 46 locations in Belgium
- Lidl – 308 locations in Belgium
- Louis Delhaize – 177 locations in Belgium
- OKay – 185 locations in Belgium
- SPAR – 347 locations in Belgium
Supermarkets distribution by Province
- Province D'Anvers: 580 supermarkets
- Province De Flandre Orientale: 499 supermarkets
- Province De Hainaut: 462 supermarkets
- Province De Flandre Occidentale: 427 supermarkets
- Province Du Brabant Flamand: 403 supermarkets
- Province De Liège: 379 supermarkets
- Région De Bruxelles-Capitale: 339 supermarkets
- Province De Limbourg: 318 supermarkets
- Province De Namur: 208 supermarkets
- Province Du Brabant Wallon: 153 supermarkets
- Province De Luxembourg: 112 supermarkets
Direct access after purchase of the complete locations dataset for Belgium
Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.
Evaluate the dataset before purchase
A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.
Related geospatial datasets
- Administrative boundaries and full polygon dataset for Belgium: Map these supermarkets locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Belgium: Overlay demographic indicators to deeply understand the population structures and household types surrounding these supermarkets locations.
- Explore demographics data insights for Belgium: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Belgium (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.
- Income distribution and socio-economic patterns in Belgium — expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
- Explore a rich library of Belgium-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 Belgium
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.
Frequently Asked Questions
Q: Can I request the data in GeoJSON or Shapefile format?
A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.
Q: Can this dataset support expansion planning?
A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.
Q: Can this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
Q: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known topbrands locations operating in Belgium as of May 2026.
Q: Can this data be combined with demographics datasets?
A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this this multi-brand dataset to identify underserved regions in Belgium for potential market expansion.""Analyze which this multi-brand locations in Belgium are positioned in highly competitive retail zones versus standalone markets.""Cross-reference these supermarkets with urban transit data to score each location's accessibility for non-driving customers."