Poland Petrol Stations Locations Dataset – Top 9 Petrol Station Brands

Poland Petrol Stations Locations Dataset – Top 9 Petrol Station Brands

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Top 9 Petrol Station Chains Across Poland: Premium Multi-Brand Location Dataset

Unlock a complete, ready-to-use dataset featuring the leading Petrol Station brands in Poland. This expertly compiled Top Brands dataset consolidates all major Petrol Station chains in Poland, delivering a clean, standardised and analysis-ready collection of 4,870 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.

Last updated: 7 July 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
  • Fuel Type
  • Opening hours

Brand distribution

  • AMIC Energy – 141 locations in Poland
  • AVIA – 157 locations in Poland
  • bp – 596 locations in Poland
  • Circle K – 407 locations in Poland
  • MOL – 365 locations in Poland
  • MOYA – 568 locations in Poland
  • Orlen – 2,018 locations in Poland
  • Pieprzyk – 145 locations in Poland
  • Shell – 473 locations in Poland

Petrol Stations distribution by Region

  • Mazowieckie: 678 petrol stations
  • Śląskie: 523 petrol stations
  • Wielkopolskie: 502 petrol stations
  • Małopolskie: 424 petrol stations
  • Dolnośląskie: 382 petrol stations
  • Łódzkie: 338 petrol stations
  • Pomorskie: 274 petrol stations
  • Zachodniopomorskie: 262 petrol stations
  • Kujawsko-Pomorskie: 247 petrol stations
  • Lubelskie: 218 petrol stations
  • Podkarpackie: 209 petrol stations
  • Lubuskie: 199 petrol stations
  • Świętokrzyskie: 177 petrol stations
  • Warmińsko-Mazurskie: 167 petrol stations
  • Podlaskie: 137 petrol stations
  • Opolskie: 133 petrol stations

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."
  • "Assess how effectively the current this multi-brand network covers major commercial and residential hubs across Poland."
  • "Identify regions in Poland where this multi-brand has a disproportionately strong or weak presence relative to population density."