Top 9 Petrol Station Brands in Poland: 4,870 Locations (CSV)

Top 9 Petrol Station Brands in Poland: 4,870 Locations (CSV)

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

As of 28 October 2026, the Top Brands dataset lists 4,870 petrol stations in Poland, according to Geolocet. The Regions with the highest counts are Mazowieckie (678), Śląskie (523) and Wielkopolskie (504). The CSV has 20 fields, including Phone (81.2%) and Opening hours (84.9%).

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: 142 locations in Poland
  • AVIA: 157 locations in Poland
  • bp: 595 locations in Poland
  • Circle K: 409 locations in Poland
  • MOL: 366 locations in Poland
  • MOYA: 566 locations in Poland
  • Orlen: 2,017 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: 504 petrol stations
  • Małopolskie: 424 petrol stations
  • Dolnośląskie: 382 petrol stations
  • Łódzkie: 339 petrol stations
  • Pomorskie: 274 petrol stations
  • Zachodniopomorskie: 261 petrol stations
  • Kujawsko-Pomorskie: 247 petrol stations
  • Lubelskie: 216 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.

Geolocet is a store location data provider. See also our POI datasets.

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: How many petrol stations of the leading brands are there in each Region of Poland?

A: As of 28 October 2026, the dataset has 678 petrol stations in Mazowieckie (12.31 stores per 100,000 residents), 523 in Śląskie (12.19 stores per 100,000 residents) and 504 in Wielkopolskie (14.41 stores per 100,000 residents). Małopolskie follows with 424.

Q: Which fields does the dataset include, and how complete are they?

A: The dataset has 20 fields: GUID, Title, Latitude, Longitude, Admin_level_1, Admin_level_2, Municipality, Region, Population, Postal Code, Address and Popularity Score are present in 100% of records. The other fields are present as follows: Street No 81.4%, Street 84.4%, City 99.8%, Wheelchair 93.1%, Phone 81.2%, Website 83.2%, Fuel Type 45.6% and Opening hours 84.9%.

Q: When was the data last updated?

A: The data was last updated on 28 October 2026.

Q: Under which licence can I use the data?

A: Use of the data is governed by the Geolocet terms of use at https://geolocet.com/pages/terms-of-use.

Q: In which format is the data delivered?

A: The Top Brands dataset is delivered as a CSV file.

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."