All Supermarket Locations in Germany: Complete Geographic Dataset

All Supermarket Locations in Germany: Complete Geographic Dataset

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All Supermarkets locations in Germany - complete national dataset

This dataset contains a complete, geocoded collection of Supermarkets in Germany, including branded chains and independent locations. It provides a complete national coverage with 78,951 verified locations suitable for territory planning, market sizing and spatial analysis.

Last updated: 27 May 2026.

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

Brand distribution

  • ALDI – 4,329 locations in Germany
  • Alnatura – 131 locations in Germany
  • Combi – 205 locations in Germany
  • Denns BioMarkt – 317 locations in Germany
  • EDEKA – 6,469 locations in Germany
  • EuroShop – 287 locations in Germany
  • famila – 179 locations in Germany
  • FRISTO – 206 locations in Germany
  • GLOBUS – 85 locations in Germany
  • HIT – 104 locations in Germany
  • HOL'AB! – 159 locations in Germany
  • K + K Klaas – 199 locations in Germany
  • Kaufland – 821 locations in Germany
  • Konsum – 124 locations in Germany
  • Lidl – 3,322 locations in Germany
  • METRO – 95 locations in Germany
  • Mix Markt – 199 locations in Germany
  • MÄC-GEIZ – 190 locations in Germany
  • Nahkauf – 547 locations in Germany
  • Netto – 4,765 locations in Germany
  • Norma – 1,371 locations in Germany
  • NP-Markt – 195 locations in Germany
  • PENNY – 2,163 locations in Germany
  • REWE – 5,014 locations in Germany
  • SPAR – 289 locations in Germany
  • Tante-M – 74 locations in Germany
  • tegut... – 299 locations in Germany

Supermarkets distribution by Federal State

  • Baden-Württemberg: 11,756 supermarkets
  • Bayern: 14,623 supermarkets
  • Berlin: 1,799 supermarkets
  • Brandenburg: 2,526 supermarkets
  • Bremen: 540 supermarkets
  • Hamburg: 1,191 supermarkets
  • Hessen: 6,792 supermarkets
  • Mecklenburg-Vorpommern: 1,759 supermarkets
  • Niedersachsen: 8,110 supermarkets
  • Nordrhein-Westfalen: 13,424 supermarkets
  • Rheinland-Pfalz: 3,962 supermarkets
  • Saarland: 946 supermarkets
  • Sachsen: 4,038 supermarkets
  • Sachsen-Anhalt: 2,376 supermarkets
  • Schleswig-Holstein: 2,921 supermarkets
  • Thüringen: 2,183 supermarkets

Direct access after purchase of the complete locations dataset for Germany

Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

Evaluate the dataset before purchase

A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full 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.

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 immediately downloadable after purchase?

A: Yes. The full dataset becomes available for instant digital download immediately after purchase.

Q: Can I use this dataset in GIS software?

A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.

Q: How recent is this dataset?

A: This dataset was last updated on May 2026 and is periodically refreshed through automated collection and validation workflows.

Analyze this data with AI

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

  • "Analyze this this multi-brand dataset to identify underserved regions in Germany for potential market expansion."
  • "Identify regions in Germany where this multi-brand has a disproportionately strong or weak presence relative to population density."
  • "Identify isolated this multi-brand sites in Germany that may face operational inefficiencies due to low regional clustering."