All Supermarket Locations in Germany: Complete Geographic Dataset
All Supermarket Locations in Germany: Complete Geographic Dataset
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 79,262 verified locations suitable for territory planning, market sizing and spatial analysis.
Last updated: 4 August 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 – 4,344 locations in Germany
- Alnatura – 131 locations in Germany
- Combi – 207 locations in Germany
- Denns BioMarkt – 316 locations in Germany
- EDEKA – 6,480 locations in Germany
- EuroShop – 288 locations in Germany
- famila – 179 locations in Germany
- FRISTO – 207 locations in Germany
- GLOBUS – 85 locations in Germany
- HIT – 105 locations in Germany
- HOL'AB! – 163 locations in Germany
- K + K Klaas – 209 locations in Germany
- Kaufland – 822 locations in Germany
- Konsum – 120 locations in Germany
- Lidl – 3,327 locations in Germany
- METRO – 96 locations in Germany
- Mix Markt – 203 locations in Germany
- MÄC-GEIZ – 190 locations in Germany
- Nahkauf – 553 locations in Germany
- Netto – 4,777 locations in Germany
- Norma – 1,379 locations in Germany
- NP-Markt – 193 locations in Germany
- PENNY – 2,169 locations in Germany
- REWE – 5,032 locations in Germany
- SPAR – 289 locations in Germany
- Tante-M – 75 locations in Germany
- tegut... – 300 locations in Germany
Supermarkets distribution by Federal State
- Baden-Württemberg: 11,823 supermarkets
- Bayern: 14,700 supermarkets
- Berlin: 1,808 supermarkets
- Brandenburg: 2,546 supermarkets
- Bremen: 538 supermarkets
- Hamburg: 1,199 supermarkets
- Hessen: 6,818 supermarkets
- Mecklenburg-Vorpommern: 1,761 supermarkets
- Niedersachsen: 8,133 supermarkets
- Nordrhein-Westfalen: 13,424 supermarkets
- Rheinland-Pfalz: 3,976 supermarkets
- Saarland: 950 supermarkets
- Sachsen: 4,054 supermarkets
- Sachsen-Anhalt: 2,391 supermarkets
- Schleswig-Holstein: 2,940 supermarkets
- Thüringen: 2,196 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.
Learn more about the brand network in our report: View Report
Related geospatial datasets
- Administrative boundaries and full polygon dataset for Germany: Map these supermarkets 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 supermarkets 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.
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 August 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."