Delikatesy Centrum Supermarket Locations Dataset – Poland

Delikatesy Centrum Supermarket Locations Dataset – PolandQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Delikatesy Centrum is a leading Polish proximity supermarket chain that operates primarily through a franchise model under the Eurocash Group. It focuses on high quality fresh departments, particularly meat and deli, in local neighborhoods. There are 1,347 Delikatesy Centrum Supermarkets as of 30 May 2026 in

Delikatesy Centrum is a leading Polish proximity supermarket chain that operates primarily through a franchise model under the Eurocash Group. It focuses on high-quality fresh departments, particularly meat and deli, in local neighborhoods.

There are 1,347 Delikatesy Centrum Supermarkets as of 30 May 2026 in Poland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Delikatesy Centrum 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 Delikatesy Centrum dataset in Poland

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Delikatesy Centrum locations in Poland is found in Podkarpackie (267 sites, equivalent to 12.96 Delikatesy Centrum supermarkets per 100,000 residents). This is followed by Małopolskie (257 sites; 7.49 per 100,000) and Śląskie (120 sites; 2.8 per 100,000). From a market-penetration perspective, Podkarpackie has the highest brand density at 12.96 locations per 100,000 people (population: 2,060,000), making it the most saturated region for Delikatesy Centrum in Poland. By contrast, Zachodniopomorskie records only 0.74 locations per 100,000 residents (population: 1,620,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Poland

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Poland: Map these Delikatesy Centrum locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Poland: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Delikatesy Centrum locations.
• Explore demographics data insights for Poland: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Poland (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 Poland-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 Poland

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?

• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• 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.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• 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.

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 Delikatesy Centrum dataset to identify underserved regions in Poland for potential market expansion."
• "Identify regions in Poland where Delikatesy Centrum has a disproportionately strong or weak presence relative to population density."
• "Analyze which Delikatesy Centrum locations in Poland are positioned in highly competitive retail zones versus standalone markets."

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.