Poland Grocery Locations Dataset – Top 21 Supermarket Brands
SKU: 24297184603

Poland Grocery Locations Dataset – Top 21 Supermarket Brands

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Description

Poland Grocery Locations Dataset – Top 21 Supermarket BrandsQuick links: Overview Dataset Fields Brand Distribution Distribution by Region Download FAQ Analyze with AI Top 21 Supermarket Chains Across Poland: Premium Multi Brand Location Dataset Unlock a complete, ready to use dataset featuring the leading Supermarket brands in Poland. This expertly compiled Top Brands dataset consolidates all major Supermarket chains in Poland, delivering a clean, standardised and analysis ready collection of 17,782

Top 21 Supermarket Chains Across Poland: Premium Multi-Brand Location Dataset

Unlock a complete, ready-to-use dataset featuring the leading Supermarket brands in Poland. This expertly compiled Top Brands dataset consolidates all major Supermarket chains in Poland, delivering a clean, standardised and analysis-ready collection of 17,782 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.

Last updated: 30 May 2026.

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Admin_level_1
  • Admin_level_2
  • Municipality
  • Region
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Brand distribution

Supermarkets distribution by Region

  • Mazowieckie: 2,021 supermarkets
  • Śląskie: 1,964 supermarkets
  • Wielkopolskie: 1,867 supermarkets
  • Małopolskie: 1,426 supermarkets
  • Dolnośląskie: 1,307 supermarkets
  • Lubelskie: 1,150 supermarkets
  • Kujawsko-Pomorskie: 1,025 supermarkets
  • Pomorskie: 1,021 supermarkets
  • Podkarpackie: 977 supermarkets
  • Łódzkie: 976 supermarkets
  • Zachodniopomorskie: 909 supermarkets
  • Warmińsko-Mazurskie: 719 supermarkets
  • Lubuskie: 659 supermarkets
  • Podlaskie: 625 supermarkets
  • Świętokrzyskie: 580 supermarkets
  • Opolskie: 556 supermarkets

Direct access after purchase of the complete locations dataset for Poland

Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

Evaluate the dataset before purchase

A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.

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].

Frequently Asked Questions

Q: Can this dataset be imported into Power BI or Tableau?

A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.

Q: Does the dataset include latitude and longitude coordinates?

A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.

Q: Does the dataset include accessibility-related attributes?

A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.

Q: Is the dataset immediately downloadable after purchase?

A: Yes. The full dataset becomes available for instant digital download immediately after purchase.

Q: Is this dataset useful for franchise analysis?

A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.

Q: Can I combine this dataset with administrative boundaries?

A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.

Q: Can this dataset be used for academic or research purposes?

A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this this multi-brand dataset to identify underserved regions in Poland for potential market expansion."
  • "Generate regional density heatmaps showing where this multi-brand has the strongest and weakest retail presence in Poland."
  • "Analyze the relationship between this multi-brand site distribution and regional economic activity across Poland."
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SKU: 24297184603

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