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Description
Bio-Planet Supermarket Locations Dataset – BelgiumQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Bio Planet is the specialized organic supermarket brand of the Colruyt Group, offering a wide range of ecological and sustainable products. It focuses on health conscious consumers and environmentally friendly retail practices. There are 40 Bio Planet Supermarkets as of 26 May 2026 in Belgium. This dataset is
Bio-Planet is the specialized organic supermarket brand of the Colruyt Group, offering a wide range of ecological and sustainable products. It focuses on health-conscious consumers and environmentally friendly retail practices.
There are 40 Bio-Planet Supermarkets as of 26 May 2026 in Belgium. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Bio-Planet 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: 40 Bio-Planet 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)100%
- Web Address100%
- Opening Hours100%
- Popularity Score100%
Data Preview: Sample geospatial records from the Bio-Planet dataset in Belgium
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 4fe28a9... | Bio-Planet Hasselt (Hasselt) | 50.943361 | 5.349919 | 3500 | 69 Genkersteenweg, Hasselt, 3500, Lim... |
| 7b2625b... | Bio-Planet (Nossegem) | 50.874995 | 4.507918 | 1930 | 424 Mechelsesteenweg, Zaventem, 1930,... |
| f6a612b... | Bio-Planet (Wilrijk) | 51.165276 | 4.383981 | 2610 | 524 Boomsesteenweg, Antwerpen, 2610, ... |
| 4b89255... | Bio-Planet (Saint-Gilles) | 50.829857 | 4.344264 | 1060 | 71 Chaussée de Waterloo, Saint-Gilles... |
| bfd7259... | Bio-Planet (Halle) | 50.731848 | 4.232358 | 1500 | 83 Bergensesteenweg, Halle, 1500, Vla... |
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 Bio-Planet locations in Belgium is found in Province Du Brabant Flamand (9 sites, equivalent to 0.75 Bio-Planet supermarkets per 100,000 residents). This is followed by Province De Flandre Orientale (7 sites; 0.44 per 100,000) and Province D'Anvers (6 sites; 0.31 per 100,000). From a market-penetration perspective, Province Du Brabant Flamand has the highest brand density at 0.75 locations per 100,000 people (population: 1,200,000), making it the most saturated region for Bio-Planet in Belgium. By contrast, Province De Limbourg records only 0.11 locations per 100,000 residents (population: 900,000), 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 Bio-Planet 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 Bio-Planet 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 [email protected].
Who uses this data?
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
Frequently Asked Questions
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known Bio-Planet locations operating in Belgium as of 26 May 2026.
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 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 postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Q: What file format is included with the download?
A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.
Q: Does the dataset contain duplicate locations?
A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Bio-Planet dataset to identify underserved regions in Belgium for potential market expansion.""Identify locations where multiple Bio-Planet sites compete within overlapping catchment areas in Belgium.""Assess the accessibility of Bio-Planet locations in Belgium based on proximity to population centers and public infrastructure."
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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