K + K Klaas Supermarket Locations Dataset – Germany

K + K Klaas Supermarket Locations Dataset – GermanyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI K+K Klaas & Kock is a family owned regional supermarket chain based in Gronau, operating primarily in Westphalia and Lower Saxony. It focuses on local proximity and high quality fresh meat from its own butcher facilities. There are 199 K + K Klaas Supermarkets as of 27 May 2026 in Germany. This dataset is

K+K Klaas & Kock is a family-owned regional supermarket chain based in Gronau, operating primarily in Westphalia and Lower Saxony. It focuses on local proximity and high-quality fresh meat from its own butcher facilities.

There are 199 K + K Klaas Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all K + K Klaas locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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.

Data Quality Scorecard

Data Preview: Sample geospatial records from the K + K Klaas dataset in Germany

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of K + K Klaas locations in Germany is found in Nordrhein-Westfalen (132 sites, equivalent to 0.73 K + K Klaas supermarkets per 100,000 residents). This is followed by Niedersachsen (67 sites; 0.83 per 100,000). From a market-penetration perspective, Niedersachsen has the highest brand density at 0.83 locations per 100,000 people (population: 8,055,000), making it the most saturated region for K + K Klaas in Germany. By contrast, Nordrhein-Westfalen records only 0.73 locations per 100,000 residents (population: 17,995,000), 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

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Germany: Map these K + K Klaas 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 K + K Klaas 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 [email protected].

Who uses this data?

• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.

Frequently Asked Questions

Analyze this data with AI

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

• "Analyze this K + K Klaas dataset to identify underserved regions in Germany for potential market expansion."
• "Identify strategic locations in Germany where new K + K Klaas sites could maximize geographic coverage while minimizing overlap."
• "Analyze the clustering behavior of K + K Klaas locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."

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.