Orlen Petrol Station Locations Dataset – Poland

Orlen is the undisputed market leader in Poland and the largest energy company in Central Europe. Its stations are everywhere, from small villages to major motorways, offering a comprehensive retail and service experience.

There are 2,018 Orlen 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 Orlen 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 Orlen dataset in Poland

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
50205c9...	ORLEN (Grabów)	52.126547	18.985228	99-150	37 Dąbska, Grabów, 99-150, Powiat łęc...
2e64b31...	ORLEN (Tarczyn)	51.987568	20.845470	05-555	25 Aleja Krakowska, Tarczyn, 05-555, ...
c9e8d83...	ORLEN (Jeleśnia)	49.653578	19.331940	34-340	38a Suska, Jeleśnia, 34-340, Powiat ż...
e2401be...	ORLEN (Sierpc)	52.864698	19.663759	09-200	32 Tadeusza Kościuszki, Sierpc, 09-20...
6a406ab...	ORLEN (Górna)	51.735253	19.442699	93-570	76 Aleja Jana Pawła II, Łódź, 93-570,...

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.

✅ Data looks right? Add to cart ↑ - or download the free sample first.

Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Orlen locations in Poland is found in Mazowieckie (251 sites, equivalent to 4.56 Orlen petrol stations per 100,000 residents). This is followed by Wielkopolskie (204 sites; 5.84 per 100,000) and Śląskie (178 sites; 4.15 per 100,000). From a market-penetration perspective, Zachodniopomorskie has the highest brand density at 7.28 locations per 100,000 people (population: 1,620,000), making it the most saturated region for Orlen in Poland. By contrast, Śląskie records only 4.15 locations per 100,000 residents (population: 4,290,000), 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 Orlen 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 Orlen 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?

• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.

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 Orlen dataset to identify underserved regions in Poland for potential market expansion."
• "Identify isolated Orlen sites in Poland that may face operational inefficiencies due to low regional clustering."
• "Identify Orlen sites with large footprints in Poland that are optimal candidates for EV charging infrastructure overlays."

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.