OKay Supermarket Locations Dataset – Belgium
OKay Supermarket Locations Dataset – Belgium
OKay is the proximity supermarket brand of the Colruyt Group, offering fresh products and daily groceries in easily accessible, local locations. It is designed for quick, efficient shopping trips near residential areas.
There are 185 OKay Supermarkets as of 26 May 2026 in Belgium. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all OKay 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: 185 OKay 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)99%
- Web Address76%
- Opening Hours100%
- Popularity Score100%
Data Preview: Sample geospatial records from the OKay dataset in Belgium
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 869d623... | OKay (Thorembais-Saint-Trond) | 50.638082 | 4.782789 | 1360 | 29 Chaussée de Charleroi, Perwez, 136... |
| 9e91e63... | OKay (Saint-Séverin) | 50.523462 | 5.420287 | 4550 | 329 Route du Condroz, Nandrin, 4550, ... |
| 7607def... | OKay (Liège) | 50.642322 | 5.573174 | 4000 | 14 Rue de l'Université, Liège, 4000, ... |
| 58ac781... | OKay (Oudenburg) | 51.182812 | 3.017827 | 8460 | 94 Ettelgemsestraat, Oudenburg, 8460,... |
| eb02313... | OKay (Roeselare) | 50.957860 | 3.131138 | 8800 | 204 Beversesteenweg, Roeselare, 8800,... |
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 OKay locations in Belgium is found in Province De Flandre Orientale (40 sites, equivalent to 2.5 OKay supermarkets per 100,000 residents). This is followed by Province D'Anvers (31 sites; 1.61 per 100,000) and Province De Flandre Occidentale (30 sites; 2.44 per 100,000). From a market-penetration perspective, Province De Flandre Orientale has the highest brand density at 2.5 locations per 100,000 people (population: 1,600,000), making it the most saturated region for OKay in Belgium. By contrast, Province De Luxembourg records only 0.34 locations per 100,000 residents (population: 295,000), 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Belgium: Map these OKay 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 OKay 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.
Who uses this data?
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
Frequently Asked Questions
Q: Can I preview the dataset before purchasing?
A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.
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: 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: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
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.
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.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this OKay dataset to identify underserved regions in Belgium for potential market expansion.""Evaluate the balance between urban and rural coverage within the current OKay network in Belgium.""Identify OKay sites with large footprints in Belgium that are optimal candidates for EV charging infrastructure overlays."
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.