tegut... Supermarket Locations Dataset – Germany
tegut... Supermarket Locations Dataset – Germany
tegut... is a regional supermarket chain based in Fulda, known for its pioneering focus on organic products and sustainability. It is now a subsidiary of the Swiss Migros cooperative and operates mainly in central Germany.
There are 299 tegut... Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all tegut... 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: 299 tegut... supermarkets in Germany
- 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: 27 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
- Area
- City
- Admin_level_1
- Admin_level_2
- Gemainde
- Federal State
- 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 Address94%
- Opening Hours99%
- Popularity Score100%
Data Preview: Sample geospatial records from the tegut... dataset in Germany
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 50ebc8d... | tegut... gute Lebensmittel (Bad Sooden-Allendorf) | 51.264249 | 9.973919 | 37242 | 6 Werrastraße, Bad Sooden-Allendorf, ... |
| 058ecc5... | tegut... gute Lebensmittel (Karben) | 50.233432 | 8.755833 | 61184 | 190 - 196 Bahnhofstraße, Karben, 6118... |
| d04f5bb... | tegut... gute Lebensmittel (Unterspiesheim) | 49.948156 | 10.262017 | 97509 | 1 Lachenbrunnweg, Kolitzheim, 97509, ... |
| e24fe0f... | tegut... gute Lebensmittel (Bad Salzschlirf) | 50.621296 | 9.513130 | 36364 | 52 Fuldaer Straße, Bad Salzschlirf, 3... |
| 0c9b5d8... | tegut... gute Lebensmittel (Mackenzell) | 50.659288 | 9.788367 | 36088 | 2 Hünfelder Straße, Hünfeld, 36088, K... |
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 27 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 tegut... locations in Germany is found in Hessen (165 sites, equivalent to 2.61 tegut... supermarkets per 100,000 residents). This is followed by Bayern (60 sites; 0.45 per 100,000) and Thüringen (51 sites; 2.41 per 100,000). From a market-penetration perspective, Hessen has the highest brand density at 2.61 locations per 100,000 people (population: 6,320,000), making it the most saturated region for tegut... in Germany. By contrast, Niedersachsen records only 0.06 locations per 100,000 residents (population: 8,055,000), 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 Germany
Brand bundle
Top 27 Grocery Brands in Germany - €480
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 Germany - 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 Germany: Map these tegut... locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Germany: Overlay demographic indicators to deeply understand the population structures and household types surrounding these tegut... locations.
- Explore demographics data insights for Germany: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Germany (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.
- Explore a rich library of Germany-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 Germany
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?
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
Frequently Asked Questions
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
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: Can I request custom enrichment fields?
A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.
Q: Can I preview the dataset before purchasing?
A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known tegut... locations operating in Germany as of 27 May 2026.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this tegut... dataset to identify underserved regions in Germany for potential market expansion.""Cross-reference these supermarkets with urban transit data to score each location's accessibility for non-driving customers.""Identify municipalities in Germany with strong demographic potential but no nearby tegut... presence."
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.