Alnatura Supermarket Locations Dataset – Germany

Alnatura Supermarket Locations Dataset – Germany

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Alnatura is a prominent German organic supermarket chain and brand headquartered in Darmstadt. It offers an extensive range of organic food products and operates modern, eco-friendly retail stores across major German cities.

There are 131 Alnatura Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Alnatura 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: 131 Alnatura 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.

Map showing the geographical distribution of Alnatura locations in Germany

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)95%
  • Web Address87%
  • Opening Hours95%
  • Popularity Score100%

Data Preview: Sample geospatial records from the Alnatura dataset in Germany

ID Location Title Latitude Longitude Postal Code Full Address
d1f8df5... Alnatura Super Natur Markt (Frankfurt am Main-Innenstadt II) 50.121121 8.648444 60487 19 Leipziger Straße, Frankfurt am Mai...
6d2579a... Alnatura Super Natur Markt (Frankfurt-Süd) 50.100426 8.686922 60594 47 - 49 Hedderichstraße, Frankfurt am...
066eba3... Alnatura Super Natur Markt (Altona) 53.556787 9.928551 22765 242-244 Bahrenfelder Straße, Hamburg,...
2dd1829... Alnatura Super Natur Markt (Ingolstadt) 48.766549 11.439158 85055 2 Schillerstraße, Ingolstadt, 85055, ...
aa844fd... Alnatura Super Natur Markt (Bezirk Spandau) 52.512627 13.196860 13595 221 Heerstraße, Berlin, 13595, Germany

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 Alnatura locations in Germany is found in Baden-Württemberg (36 sites, equivalent to 0.32 Alnatura supermarkets per 100,000 residents). This is followed by Bayern (20 sites; 0.15 per 100,000) and Hessen (20 sites; 0.32 per 100,000). From a market-penetration perspective, Berlin has the highest brand density at 0.35 locations per 100,000 people (population: 3,690,000), making it the most saturated region for Alnatura in Germany. By contrast, Brandenburg records only 0.04 locations per 100,000 residents (population: 2,545,000), 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 contact@geolocet.com.

Who uses this data?

  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.

Frequently Asked Questions

Q: Can this dataset support territory optimization?

A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.

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: Can I integrate this dataset into a PostgreSQL/PostGIS database?

A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.

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 opening hours?

A: Yes, opening hours are included where publicly available and validated during the data standardization process.

Q: Is this dataset useful for accessibility studies?

A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Alnatura dataset to identify underserved regions in Germany for potential market expansion."
  • "Identify regions in Germany where Alnatura has a disproportionately strong or weak presence relative to population density."
  • "Identify the most central Alnatura locations in Germany to serve as hubs for a last-mile delivery network."

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.