Gzella Supermarket Locations Dataset – Poland

Gzella is a specialized Polish meat and deli retail chain that operates numerous branded outlets, often integrated into larger retail centers. It is renowned for its traditional Bory Tucholskie meat products and high-quality cold cuts.

There are 38 Gzella Supermarkets as of 4 August 2026 in Poland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Gzella 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 Gzella dataset in Poland

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
5f82cbe...	Gzella net sp. z o.o. (Białogard)	54.006045	15.986179	78-200	4 Wojska Polskiego, Białogard, 78-200...
2772029...	Gzella net sp. z o.o. (Bydgoskie Przedmieście)	53.011784	18.579968	87-100	71 Adama Mickiewicza, Toruń, 87-100, ...
6bf820d...	Gzella net sp. z o.o. (Kołobrzeg)	54.175771	15.582668	78-100	7 Słowińców, Kołobrzeg, 78-100, Powia...
51eac2f...	Gzella net sp. z o.o. (Gniezno)	52.534124	17.600761	62-200	35 Chrobrego, Gniezno, 62-200, Powiat...
8e8c2a6...	Delikatesy Mięsne Gzella	53.915431	15.199397	72-300	76 Wojska Polskiego, Gryfice, 72-300,...

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 Gzella locations in Poland is found in Pomorskie (14 sites, equivalent to 0.59 Gzella supermarkets per 100,000 residents). This is followed by Kujawsko-Pomorskie (12 sites; 0.61 per 100,000) and Zachodniopomorskie (7 sites; 0.43 per 100,000). From a market-penetration perspective, Kujawsko-Pomorskie has the highest brand density at 0.61 locations per 100,000 people (population: 1,980,000), making it the most saturated region for Gzella in Poland. By contrast, Wielkopolskie records only 0.09 locations per 100,000 residents (population: 3,495,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Poland

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• Administrative boundaries and full polygon dataset for Poland: Map these Gzella locations against highly precise administrative polygons for territory analysis and spatial structuring.
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• Explore demographics data insights for Poland: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
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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?

• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• 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.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.

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 Gzella dataset to identify underserved regions in Poland for potential market expansion."
• "Analyze the relationship between Gzella site distribution and regional economic activity across Poland."
• "Analyze proximity between Gzella locations and major highways, ring roads, or arterial transport corridors in Poland."

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.