Poland Grocery Locations Dataset – Top 21 Supermarket Brands

Poland Grocery Locations Dataset – Top 21 Supermarket Brands

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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 17,803 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.

Last updated: 4 August 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: 2,043 supermarkets
  • Śląskie: 1,982 supermarkets
  • Wielkopolskie: 1,768 supermarkets
  • Małopolskie: 1,425 supermarkets
  • Dolnośląskie: 1,325 supermarkets
  • Lubelskie: 1,164 supermarkets
  • Pomorskie: 1,036 supermarkets
  • Kujawsko-Pomorskie: 1,010 supermarkets
  • Podkarpackie: 992 supermarkets
  • Łódzkie: 987 supermarkets
  • Zachodniopomorskie: 919 supermarkets
  • Warmińsko-Mazurskie: 727 supermarkets
  • Lubuskie: 644 supermarkets
  • Podlaskie: 633 supermarkets
  • Świętokrzyskie: 587 supermarkets
  • Opolskie: 561 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 contact@geolocet.com.

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."