SKU: 4739089817

Colruyt Supermarket Locations Dataset – Belgium

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Description

Colruyt Supermarket Locations Dataset – BelgiumQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Colruyt is a leading Belgian retailer known for its 'Lowest Price' guarantee and efficient, no frills warehouse style supermarkets. It is the flagship brand of the family owned Colruyt Group. There are 273 Colruyt Supermarkets as of 26 May 2026 in Belgium. This dataset is compiled and maintained by Geolocet

Colruyt is a leading Belgian retailer known for its 'Lowest Price' guarantee and efficient, no-frills warehouse-style supermarkets. It is the flagship brand of the family-owned Colruyt Group.

There are 273 Colruyt Supermarkets as of 26 May 2026 in Belgium. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Colruyt 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: 273 Colruyt supermarkets in Belgium
  • 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: 26 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
  • 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

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)98%
  • Web Address98%
  • Opening Hours97%
  • Popularity Score100%

Data Preview: Sample geospatial records from the Colruyt dataset in Belgium

ID Location Title Latitude Longitude Postal Code Full Address
4053aba... Colruyt (Jambes) 50.464782 4.897131 5100 477 Chaussée de Liège, Namur, 5100, N...
afaeeb3... Colruyt (Jodoigne) 50.725490 4.876543 1370 36 Rue de Piétrain, Jodoigne, 1370, B...
d9f6849... Colruyt (Zonhoven) 50.976641 5.363278 3520 62 Heuveneindeweg, Zonhoven, 3520, Li...
6eb8e51... Colruyt (Tongeren) 50.775510 5.458055 3700 33 Astridlaan, Tongeren-Borgloon, 370...
f907e41... Colruyt (Dinant) 50.265718 4.937572 5500 355 Rue Saint-Jacques, Dinant, 5500, ...

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 26 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 Colruyt locations in Belgium is found in Province De Hainaut (41 sites, equivalent to 3.0 Colruyt supermarkets per 100,000 residents). This is followed by Province D'Anvers (40 sites; 2.08 per 100,000) and Province De Flandre Orientale (33 sites; 2.06 per 100,000). From a market-penetration perspective, Province De Namur has the highest brand density at 3.37 locations per 100,000 people (population: 505,000), making it the most saturated region for Colruyt in Belgium. By contrast, Région De Bruxelles-Capitale records only 1.51 locations per 100,000 residents (population: 1,255,000), 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 Belgium

Brand bundle

Top 13 Grocery Brands in Belgium — €244

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 Belgium — 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?

  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • 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.

Frequently Asked Questions

Q: Does the dataset include latitude and longitude coordinates?

A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.

Q: Are phone numbers and websites included?

A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.

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 contain duplicate locations?

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

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: Is the dataset immediately downloadable after purchase?

A: Yes. The full dataset becomes available for instant digital download immediately after purchase.

Q: Are the datasets suitable for machine learning workflows?

A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.

Q: Can I request custom enrichment fields?

A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Colruyt dataset to identify underserved regions in Belgium for potential market expansion."
  • "Identify isolated Colruyt sites in Belgium that may face operational inefficiencies due to low regional clustering."
  • "Evaluate how evenly Colruyt locations are distributed across provinces, districts, or municipalities in Belgium."

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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