Migros Supermarket Locations Dataset – Switzerland

Migros Supermarket Locations Dataset – SwitzerlandQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Related Datasets Use Cases FAQ Analyze with AI Migros is the largest retail company in Switzerland, organized as a federation of regional cooperatives with millions of members. It is famous for its diverse private labels and its long standing policy of not selling alcohol or tobacco in its supermarkets. There are 831 Migros Supermarkets as of 30 May 2026 in

Migros is the largest retail company in Switzerland, organized as a federation of regional cooperatives with millions of members. It is famous for its diverse private labels and its long-standing policy of not selling alcohol or tobacco in its supermarkets.

There are 831 Migros Supermarkets as of 30 May 2026 in Switzerland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Migros 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 Migros dataset in Switzerland

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.

✅ Data looks right? Add to cart ↑ - or download the free sample first.

Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Migros locations in Switzerland is found in Amtei Dorneck-Thierstein (36761 sites). This is followed by Appenzell Innerrhoden (16733 sites) and Zürich (142 sites; 8.77 per 100,000). From a market-penetration perspective, Basel-Stadt has the highest brand density at 14.5 locations per 100,000 people (population: 200,000), making it the most saturated region for Migros in Switzerland. By contrast, Jura records only 4.29 locations per 100,000 residents (population: 70,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Switzerland: Map these Migros locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Switzerland: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Migros locations.
• Explore demographics data insights for Switzerland: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Explore a rich library of Switzerland-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 Switzerland

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?

• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• 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.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• 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.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).

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 Migros dataset to identify underserved regions in Switzerland for potential market expansion."
• "Identify strategic locations in Switzerland where new Migros sites could maximize geographic coverage while minimizing overlap."
• "Identify isolated Migros sites in Switzerland that may face operational inefficiencies due to low regional clustering."

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.