Bio-Planet Supermarket Locations Dataset – Belgium

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 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.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Bio-Planet dataset in Belgium

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.

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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

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

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.