Kaufland Supermarket Locations Dataset – Slovakia

Kaufland Supermarket Locations Dataset – SlovakiaQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Kaufland is a major hypermarket operator in Slovakia, providing an extensive assortment of groceries and household goods. It is known for its large scale stores and its focus on regional Slovak suppliers and sustainable business practices. There are 79 Kaufland Supermarkets as of 30 May 2026 in Slovakia. This

Kaufland is a major hypermarket operator in Slovakia, providing an extensive assortment of groceries and household goods. It is known for its large-scale stores and its focus on regional Slovak suppliers and sustainable business practices.

There are 79 Kaufland Supermarkets as of 30 May 2026 in Slovakia. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Kaufland 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 Kaufland dataset in Slovakia

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Kaufland locations in Slovakia is found in Trnavský Kraj (14 sites, equivalent to 2.41 Kaufland supermarkets per 100,000 residents). This is followed by Trenčiansky Kraj (13 sites; 2.3 per 100,000) and Prešovský Kraj (11 sites; 1.43 per 100,000). From a market-penetration perspective, Trnavský Kraj has the highest brand density at 2.41 locations per 100,000 people (population: 580,000), making it the most saturated region for Kaufland in Slovakia. By contrast, Košický Kraj records only 0.93 locations per 100,000 residents (population: 755,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Slovakia

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Slovakia: Map these Kaufland locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Slovakia: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Kaufland locations.

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?

• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• 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.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• 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 Kaufland dataset to identify underserved regions in Slovakia for potential market expansion."
• "Analyze the clustering behavior of Kaufland locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
• "Measure average inter-store distance between Kaufland locations across different regions of Slovakia."

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.