tegut... Supermarket Locations Dataset – Germany
SKU: 44771342322

tegut... Supermarket Locations Dataset – Germany

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Description

tegut... Supermarket Locations Dataset – GermanyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI 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

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 →

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?

  • 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.

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SKU: 44771342322

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