Volg Supermarket Locations Dataset – Switzerland

Volg Supermarket Locations Dataset – SwitzerlandQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Related Datasets Use Cases FAQ Analyze with AI Volg specializes in small scale proximity stores located in rural villages and German speaking communities across Switzerland. It serves as a vital local supply hub, often providing additional services like postal and banking access to residents. There are 606 Volg Supermarkets as of 30 May 2026 in Switzerland. This

Volg specializes in small-scale proximity stores located in rural villages and German-speaking communities across Switzerland. It serves as a vital local supply hub, often providing additional services like postal and banking access to residents.

There are 606 Volg Supermarkets as of 30 May 2026 in Switzerland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Volg 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 Volg dataset in Switzerland

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Volg locations in Switzerland is found in Amtei Dorneck-Thierstein (36761 sites). This is followed by Appenzell Innerrhoden (16733 sites) and Zürich (120 sites; 7.41 per 100,000). From a market-penetration perspective, Graubünden has the highest brand density at 31.22 locations per 100,000 people (population: 205,000), making it the most saturated region for Volg in Switzerland. By contrast, Vaud records only 1.05 locations per 100,000 residents (population: 855,000), 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 Volg 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 Volg 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?

• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• 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).
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.

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 Volg dataset to identify underserved regions in Switzerland for potential market expansion."
• "Assess the accessibility of Volg locations in Switzerland based on proximity to population centers and public infrastructure."
• "Measure average inter-store distance between Volg locations across different regions of Switzerland."

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