List of Nahkauf Supermarkets in Germany: 553 Locations (CSV)
List of Nahkauf Supermarkets in Germany: 553 Locations (CSV)
Nahkauf is a proximity store banner operated by the REWE Group, specifically designed to provide grocery supplies in rural areas and small urban neighborhoods. These stores are typically run by independent merchants under the REWE umbrella.
As of 8 October 2026, Nahkauf operates 553 supermarkets in Germany, according to Geolocet. By Federal State, the largest counts are in Hessen with 107 stores, Baden-Württemberg with 72 stores and Bayern with 61 stores. The dataset is delivered as a CSV file with 20 fields.
Dataset Summary
- Dataset Coverage: 553 Nahkauf 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: 8 October 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
- Gemeinde
- 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)91%
- Web Address84%
- Opening Hours93%
- Popularity Score100%
Data Preview: Sample geospatial records from the Nahkauf dataset in Germany
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 66cb0c3... | Nahkauf (Wietzendorf) | 52.932267 | 9.965057 | 29649 | 1 Südsee Camp, Wietzendorf, 29649, Ge... |
| 38d8fe7... | Nahkauf (Troisdorf) | 50.810739 | 7.140660 | 53842 | 96 Sieglarer Straße, Troisdorf, 53842... |
| 2cbdc4a... | Nahkauf (Nippes) | 50.990014 | 6.961671 | 50735 | 186 Sebastianstraße, Köln, 50735, Köl... |
| 649f953... | Nahkauf (Wildenstein) | 49.071385 | 10.208699 | 74579 | 5/1 Hauptstraße, Fichtenau, 74579, St... |
| 9325171... | Nahkauf (Mühlburg) | 49.010382 | 8.367324 | 76185 | 33 Gellertstraße, Karlsruhe, 76185, 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 8 October 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 Nahkauf locations in Germany is found in Hessen (107 sites, equivalent to 1.69 Nahkauf supermarkets per 100,000 residents). This is followed by Baden-Württemberg (72 sites; 0.64 per 100,000) and Bayern (61 sites; 0.46 per 100,000). From a market-penetration perspective, Thüringen has the highest brand density at 2.36 locations per 100,000 people (population: 2,115,000), making it the most saturated region for Nahkauf in Germany. By contrast, Bremen records only 0.15 locations per 100,000 residents (population: 675,000), indicating a potential white-space opportunity for network expansion or competitor analysis. This granular regional data helps analysts understand specific market density, localized brand presence, and population-adjusted coverage across Germany.
| Region | Nahkauf Locations | Population | Density per 100,000 |
|---|---|---|---|
| Hessen | 107 | 6,320,000 | 1.69 |
| Baden-Württemberg | 72 | 11,170,000 | 0.64 |
| Bayern | 61 | 13,230,000 | 0.46 |
| Nordrhein-Westfalen | 58 | 17,995,000 | 0.32 |
| Niedersachsen | 50 | 8,055,000 | 0.62 |
| Thüringen | 50 | 2,115,000 | 2.36 |
| Sachsen | 36 | 4,055,000 | 0.89 |
| Schleswig-Holstein | 35 | 2,930,000 | 1.19 |
| Brandenburg | 20 | 2,545,000 | 0.78 |
| Rheinland-Pfalz | 19 | 4,120,000 | 0.46 |
| Berlin | 16 | 3,690,000 | 0.43 |
| Sachsen-Anhalt | 12 | 2,175,000 | 0.55 |
| Mecklenburg-Vorpommern | 9 | 1,615,000 | 0.56 |
| Hamburg | 7 | 1,860,000 | 0.38 |
| Bremen | 1 | 675,000 | 0.15 |
Learn more about the brand network in our report: Nahkauf Germany store report: locations by federal state and city
Geolocet is a store location data provider. See also our POI datasets.
Also available for Germany
Brand bundle
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All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View the Top 27 Supermarket Brands dataset →Full market coverage
Germany Supermarket POI Dataset: 79,227 Locations
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 the Germany Supermarket POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Germany: Map these Nahkauf 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 Nahkauf 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?
- 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.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
Frequently Asked Questions
Q: How many Nahkauf supermarkets are there in each Federal State of Germany?
A: By Federal State, Hessen has 107 Nahkauf supermarkets (1.69 stores per 100,000 residents), Baden-Württemberg has 72 (0.64 stores per 100,000 residents) and Bayern has 61 (0.46 stores per 100,000 residents). Nordrhein-Westfalen has 58, Niedersachsen 50, Thüringen 50 and Sachsen 36.
Q: Which fields does the dataset include, and how complete are they?
A: The dataset has 20 fields. GUID, Title, Latitude, Longitude, Admin_level_1, Gemeinde, Federal State, Population, Postal Code, Address and Popularity Score are present in 100% of records, followed by Street (99.8%), City (99.8%), Street No (99.3%), Wheelchair (95.8%), Opening hours (93.3%), Phone (90.6%), Website (83.7%), Admin_level_2 (53.9%) and Area (44.1%).
Q: When was the data last updated?
A: The data was last updated on 8 October 2026.
Q: Under which licence can I use the data?
A: The data can be used under the terms of use at https://geolocet.com/pages/terms-of-use.
Q: In which format is the data delivered?
A: The data is delivered as a CSV file.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Nahkauf dataset to identify underserved regions in Germany for potential market expansion.""Analyze geographic gaps in the current Nahkauf network and identify underserved regions in Germany with strong expansion potential.""Identify fast-growing suburban areas in Germany that currently have limited access to nearby supermarkets."
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.