Volg Supermarket Locations Dataset – Switzerland
Volg Supermarket Locations Dataset – Switzerland
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 Summary
- Dataset Coverage: 606 Volg supermarkets in Switzerland
- 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: 30 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
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Municipality
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)99%
- Web Address97%
- Opening Hours100%
- Popularity Score100%
Data Preview: Sample geospatial records from the Volg dataset in Switzerland
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| d2a2e03... | Volg (Gletterens) | 46.904051 | 6.930375 | 1544 | 18 Route des Grèves, Gletterens, 1544... |
| 959385f... | Volg (Illgau) | 46.988182 | 8.724414 | 6434 | 2 Schulhaus, Illgau, 6434, Schwyz, Sw... |
| e49a909... | Volg (Seengen) | 47.324622 | 8.206580 | 5707 | 20 Poststrasse, Seengen, 5707, Bezirk... |
| 04a1c11... | Volg (Seuzach) | 47.534993 | 8.734376 | 8472 | 35 Breitestrasse, Seuzach, 8472, Bezi... |
| 83592a5... | Volg (Glarus Nord) | 47.114085 | 9.057625 | 8868 | 30 Poststrasse, Glarus Nord, 8868, Sw... |
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 30 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 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 contact@geolocet.com.
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
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
Q: Can this dataset be imported into Power BI or Tableau?
A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.
Q: Can I request the data in GeoJSON or Shapefile format?
A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.
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: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Q: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
Q: How accurate are the coordinates?
A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known Volg locations operating in Switzerland as of 30 May 2026.
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."
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.