ALDI Supermarket Locations Dataset – Switzerland
ALDI Supermarket Locations Dataset – Switzerland
ALDI Suisse is the Swiss branch of the ALDI Süd group, established in 2005 to offer a streamlined discount alternative in the Swiss market. It focuses on a mix of global private labels and a high proportion of locally produced Swiss meat and dairy.
There are 249 ALDI Supermarkets as of 30 May 2026 in Switzerland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all ALDI 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: 249 ALDI 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)84%
- Web Address84%
- Opening Hours84%
- Popularity Score100%
Data Preview: Sample geospatial records from the ALDI dataset in Switzerland
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 7679fc9... | ALDI (Belp) | 46.891590 | 7.509227 | 3123 | 4 Allmendweg, Belp, 3123, Bern-Mittel... |
| 1d5d806... | ALDI (Agno) | 45.996183 | 8.904340 | 6982 | 7 Via Chiodenda, Agno, 6982, Lugano, ... |
| 8de5dba... | ALDI (Hinwil) | 47.305034 | 8.823282 | 8340 | 18 Wässeristrasse, Hinwil, 8340, Hinw... |
| 5edb3ea... | ALDI (Landquart) | 46.955964 | 9.563832 | 7302 | 82 Schulstrasse, Landquart, 7302, Lan... |
| a9dd32d... | ALDI (Kriens) | 47.034282 | 8.272880 | 6010 | 2 Hobacherweg, Kriens, 6010, Wahlkrei... |
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 ALDI locations in Switzerland is found in Zürich (52 sites, equivalent to 3.21 ALDI supermarkets per 100,000 residents). This is followed by Sankt Gallen (23 sites; 4.26 per 100,000) and Luzern (17 sites; 3.91 per 100,000). From a market-penetration perspective, Amtei Thal-Gäu has the highest brand density at 5.71 locations per 100,000 people (population: 35,000), making it the most saturated region for ALDI in Switzerland. By contrast, Schaffhausen records only 1.18 locations per 100,000 residents (population: 85,000), 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 ALDI 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 ALDI 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?
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
Frequently Asked Questions
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
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 used for logistics planning?
A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.
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: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Can I combine this dataset with administrative boundaries?
A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this ALDI dataset to identify underserved regions in Switzerland for potential market expansion.""Assess how effectively the current ALDI network covers major commercial and residential hubs across Switzerland.""Identify regions in Switzerland where ALDI has a disproportionately strong or weak presence relative to population density."
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.