Circle K Petrol Station Locations Dataset – Poland

Circle K (formerly Statoil) is a prominent player in Poland, recognized for its "Miles" fuel technology and high-quality convenience stores. It is a major competitor in the urban and motorway retail segments.

There are 407 Circle K Petrol Stations as of 7 July 2026 in Poland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Circle K locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

Dataset Methodology:

This dataset is compiled from publicly available business listings, official company sources, and geospatial validation workflows. Automated quality checks and manual analyst reviews are applied to improve coordinate precision, address standardisation, duplicate detection, and overall analytical consistency.

It is periodically reviewed and updated to reflect known network changes, closures, relocations, and newly identified locations.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Circle K dataset in Poland

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
83b6d6d...	Circle K (Solec Kujawski)	53.059978	18.252469	86-050	52 Kujawska, Solec Kujawski, 86-050, ...
bdd763b...	Circle K (Krze Duże)	52.003518	20.590356	96-325	Krze Duże, 96-325, Powiat żyrardowski...
ee51232...	Circle K (Uzdowo)	53.348386	20.109059	13-214	, Uzdowo, 13-214, Powiat działdowski,...
74e3d06...	Circle K (Gorzów Wielkopolski)	52.748598	15.244981	66-400	12 Piłsudskiego, Gorzów Wielkopolski,...
a060e2e...	Circle K (Harklowa)	49.470360	20.155922	34-434	Harklowa, 34-434, Powiat nowotarski, ...

Note: Only a subset of the full dataset fields are displayed here. Download the free sample (option above) to view all fields and verify the data structure.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Circle K locations in Poland is found in Mazowieckie (70 sites, equivalent to 1.27 Circle K petrol stations per 100,000 residents). This is followed by Śląskie (48 sites; 1.12 per 100,000) and Wielkopolskie (37 sites; 1.06 per 100,000). From a market-penetration perspective, Lubuskie has the highest brand density at 1.97 locations per 100,000 people (population: 965,000), making it the most saturated region for Circle K in Poland. By contrast, Opolskie records only 0.54 locations per 100,000 residents (population: 930,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Poland

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Poland: Map these Circle K locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Poland: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Circle K locations.
• Explore demographics data insights for Poland: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Poland (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
• Explore a rich library of Poland-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for Poland

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.

Who uses this data?

• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.

Frequently Asked Questions

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

• "Analyze this Circle K dataset to identify underserved regions in Poland for potential market expansion."
• "Analyze the clustering behavior of Circle K locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
• "Analyze which Circle K locations in Poland are positioned in highly competitive retail zones versus standalone markets."

Disclaimer: All brand logos and trademarks displayed are the property of their respective owners and are used strictly for identification purposes. This product consists of geospatial location data only; no images, logos, or trademark rights are included in the downloadable files.