Combi Supermarket Locations Dataset – Germany

Combi Supermarket Locations Dataset – GermanyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Combi is a regional supermarket chain operating primarily in Northwest Germany under the Bnting Group. It focuses on fresh produce, regional specialties, and a broad assortment of consumer goods. There are 205 Combi Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by Geolocet

Combi is a regional supermarket chain operating primarily in Northwest Germany under the Bünting Group. It focuses on fresh produce, regional specialties, and a broad assortment of consumer goods.

There are 205 Combi Supermarkets as of 27 May 2026 in Germany. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Combi 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 Combi dataset in 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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Combi locations in Germany is found in Niedersachsen (126 sites, equivalent to 1.56 Combi supermarkets per 100,000 residents). This is followed by Nordrhein-Westfalen (77 sites; 0.43 per 100,000) and Bremen (2 sites; 0.3 per 100,000). From a market-penetration perspective, Niedersachsen has the highest brand density at 1.56 locations per 100,000 people (population: 8,055,000), making it the most saturated region for Combi in Germany. By contrast, Bremen records only 0.3 locations per 100,000 residents (population: 675,000), 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 Combi 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 Combi 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?

• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.

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 Combi dataset to identify underserved regions in Germany for potential market expansion."
• "Identify municipalities in Germany with strong demographic potential but no nearby Combi presence."
• "Analyze geographic gaps in the current Combi network and identify underserved regions in Germany with strong expansion potential."

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.