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another style within 30 days of receiving your order.Stokrotka is a major Polish supermarket and proximity store chain owned by the Maxima Group. It has grown rapidly across the country, offering both large supermarkets and smaller "Stokrotka Express" urban formats.
There are 986 Stokrotka Supermarkets as of 30 May 2026 in Poland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Stokrotka locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.
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.

| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| f0349fe... | Stokrotka (Fabryczna) | 51.137498 | 16.971526 | 54-152 | 7 Dzielna, Wrocław, 54-152, Powiat Wr... |
| 216bedd... | Stokrotka (Gliwice) | 50.305227 | 18.686731 | 44-100 | 1 Ignacego Sikory, Gliwice, 44-100, P... |
| a3a4be9... | Stokrotka (Piaseczno) | 52.077054 | 21.011011 | 05-500 | 8 Jarząbka, Piaseczno, 05-500, Powiat... |
| 7ba2856... | Stokrotka (Nidzica) | 53.361940 | 20.421054 | 13-100 | 18 Traugutta, Nidzica, 13-100, Powiat... |
| 8ab451a... | Stokrotka (Boguszowice Osiedle) | 50.050167 | 18.602533 | 44-253 | 10 Józefa Lompy, Rybnik, 44-253, Powi... |
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.
Why download from Geolocet?
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Looking at the geographic distribution, the highest concentration of Stokrotka locations in Poland is found in Lubelskie (273 sites, equivalent to 13.68 Stokrotka supermarkets per 100,000 residents). This is followed by Mazowieckie (121 sites; 2.2 per 100,000) and Śląskie (94 sites; 2.19 per 100,000). From a market-penetration perspective, Lubelskie has the highest brand density at 13.68 locations per 100,000 people (population: 1,995,000), making it the most saturated region for Stokrotka in Poland. By contrast, Wielkopolskie records only 0.89 locations per 100,000 residents (population: 3,495,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
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All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
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All Grocery Locations in Poland - complete POI dataset
Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.
View full POI dataset →We can deliver this dataset in alternative formats upon request (GeoJSON, Shapefile, Excel, PostgreSQL import files, etc.). Contact us at contact@geolocet.com.
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Q: How are addresses standardized?
A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Can I use this dataset in GIS software?
A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.
Q: Can I analyze this dataset with AI tools?
A: Yes. The dataset is structured for compatibility with AI workflows including ChatGPT, Claude, Gemini, RAG pipelines, and Python-based analytics.
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Stokrotka dataset to identify underserved regions in Poland for potential market expansion.""Identify high-income or high-density residential zones in Poland that currently lack nearby Stokrotka locations.""Measure average inter-store distance between Stokrotka locations across different regions of 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.
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