SKU: 96585617913

All Supermarket Locations in Poland: Complete Geographic Dataset

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Description

All Supermarket Locations in Poland: Complete Geographic DatasetQuick links: Overview Dataset Fields Brand Distribution Distribution by Region Download FAQ Analyze with AI All Supermarkets locations in Poland complete national dataset This dataset contains a complete, geocoded collection of Supermarkets in Poland, including branded chains and independent locations. It provides a complete national coverage with 58,586 verified locations suitable for territory planning, market sizing and spatial analysis. Last

All Supermarkets locations in Poland - complete national dataset

This dataset contains a complete, geocoded collection of Supermarkets in Poland, including branded chains and independent locations. It provides a complete national coverage with 58,586 verified locations suitable for territory planning, market sizing and spatial analysis.

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

  • Dolnośląskie: 4,161 supermarkets
  • Kujawsko-Pomorskie: 3,476 supermarkets
  • Lubelskie: 3,640 supermarkets
  • Lubuskie: 1,663 supermarkets
  • Mazowieckie: 7,203 supermarkets
  • Małopolskie: 4,871 supermarkets
  • Opolskie: 1,508 supermarkets
  • Podkarpackie: 3,319 supermarkets
  • Podlaskie: 1,868 supermarkets
  • Pomorskie: 3,478 supermarkets
  • Warmińsko-Mazurskie: 2,442 supermarkets
  • Wielkopolskie: 6,045 supermarkets
  • Zachodniopomorskie: 2,681 supermarkets
  • Łódzkie: 3,906 supermarkets
  • Śląskie: 6,366 supermarkets
  • Świętokrzyskie: 1,959 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: 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: Can this dataset be used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

Q: Is the dataset immediately downloadable after purchase?

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

Q: Does the dataset include unique identifiers?

A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.

Q: Does the dataset contain duplicate locations?

A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.

Q: Does the dataset include accessibility-related attributes?

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

Q: Can I request custom enrichment fields?

A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.

Q: Are postal codes included for all locations?

A: Postal codes are included wherever available and validated as part of the standardization workflow.

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: 96585617913

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