Intermarché Supermarket Locations Dataset – Belgium
Intermarché Supermarket Locations Dataset – Belgium
Intermarché is a French cooperative retail group that has significantly increased its Belgian footprint through the acquisition of the Mestdagh stores. It operates under the 'Les Mousquetaires' banner.
There are 163 Intermarché Supermarkets as of 26 May 2026 in Belgium. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Intermarché 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: 163 Intermarché 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)95%
- Web Address95%
- Opening Hours95%
- Popularity Score100%
Data Preview: Sample geospatial records from the Intermarché dataset in Belgium
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 7b2096a... | Intermarché (Jumet) | 50.442628 | 4.430769 | 6040 | 98 Rue Louis Biernaux, Charleroi, 604... |
| 54d82e3... | Intermarché (La Bouverie) | 50.417329 | 3.874938 | 7080 | 29 Route Nationale, Frameries, 7080, ... |
| 4c437c0... | Intermarché (Liège) | 50.642285 | 5.574337 | 4000 | 63 Rue de la Cathédrale, Liège, 4000,... |
| 081e98b... | Intermarché (Orcq) | 50.604716 | 3.355528 | 7501 | 433 Chaussée de Lille, Tournai, 7501,... |
| b9d9154... | Intermarché (Charleroi) | 50.416911 | 4.456723 | 6000 | 143 Grand'Rue, Charleroi, 6000, Haina... |
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 Intermarché locations in Belgium is found in Province De Hainaut (66 sites, equivalent to 4.84 Intermarché supermarkets per 100,000 residents). This is followed by Province De Liège (34 sites; 3.04 per 100,000) and Province De Namur (29 sites; 5.74 per 100,000). From a market-penetration perspective, Province Du Brabant Wallon has the highest brand density at 5.78 locations per 100,000 people (population: 415,000), making it the most saturated region for Intermarché in Belgium. By contrast, Région De Bruxelles-Capitale records only 0.56 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Belgium: Map these Intermarché 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 Intermarché 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?
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- 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.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- 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.
Frequently Asked Questions
Q: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
Q: Is this dataset useful for accessibility studies?
A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.
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: Can this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Intermarché dataset to identify underserved regions in Belgium for potential market expansion.""Generate regional density heatmaps showing where Intermarché has the strongest and weakest retail presence in Belgium.""Rank the top-performing urban areas in Belgium for future Intermarché expansion based on existing location density and regional population."
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.