Shell Petrol Station Locations Dataset – Poland

Shell is a high-end fuel retailer in Poland, famous for its V-Power brand and the "Shell ClubSmart" loyalty program. It focuses on innovation, including the rollout of LNG fueling for trucks and fast EV charging.

There are 473 Shell 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 Shell 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 Shell dataset in Poland

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
5201f00...	Shell (Bydgoszcz)	53.107530	18.036868	85-171	12 Aleja Wojska Polskiego, Bydgoszcz,...
283bdcd...	Shell (Miasteczko Śląskie)	50.499729	18.938521	42-610	75 Woźnicka, Miasteczko Śląskie, 42-6...
f291e8c...	Shell (Brzesko)	49.990963	20.613183	32-800	20A Mikołaja Kopernika, Brzesko, 32-8...
96956fd...	Shell (Maroko-Nowiny)	50.101628	18.515536	44-217	72 Budowlanych, Rybnik, 44-217, Powia...
b6507e7...	Shell (Janowo)	54.561336	18.422464	84-230	143A Generała Henryka Dąbrowskiego, R...

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 Shell locations in Poland is found in Śląskie (73 sites, equivalent to 1.7 Shell petrol stations per 100,000 residents). This is followed by Mazowieckie (65 sites; 1.18 per 100,000) and Wielkopolskie (47 sites; 1.34 per 100,000). From a market-penetration perspective, Lubuskie has the highest brand density at 2.59 locations per 100,000 people (population: 965,000), making it the most saturated region for Shell in Poland. By contrast, Lubelskie records only 0.65 locations per 100,000 residents (population: 1,995,000), 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 Shell 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 Shell 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?

• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.

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 Shell dataset to identify underserved regions in Poland for potential market expansion."
• "Cross-reference these petrol stations with urban transit data to score each location's accessibility for non-driving customers."
• "Identify the most central Shell locations in Poland to serve as hubs for a last-mile delivery network."

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.