All Petrol Station Locations in Poland: Complete Geographic Dataset

All Petrol Station Locations in Poland: Complete Geographic Dataset

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All Petrol Stations locations in Poland - complete national dataset

This dataset contains a complete, geocoded collection of Petrol Stations in Poland, including branded chains and independent locations. It provides a complete national coverage with 10,301 verified locations suitable for territory planning, market sizing and spatial analysis.

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

  • Dolnośląskie: 646 petrol stations
  • Kujawsko-Pomorskie: 577 petrol stations
  • Lubelskie: 685 petrol stations
  • Lubuskie: 422 petrol stations
  • Mazowieckie: 1,481 petrol stations
  • Małopolskie: 815 petrol stations
  • Opolskie: 245 petrol stations
  • Pomorskie: 513 petrol stations
  • Warmińsko-Mazurskie: 345 petrol stations
  • Wielkopolskie: 1,040 petrol stations
  • Zachodniopomorskie: 487 petrol stations
  • Łódzkie: 830 petrol stations
  • Śląskie: 952 petrol stations
  • Świętokrzyskie: 350 petrol stations
  • Podkarpackie: 582 petrol stations
  • Podlaskie: 331 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: 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."
  • "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."