List of Shell Petrol Stations in Poland: 473 Locations (CSV)

List of Shell Petrol Stations in Poland: 473 Locations (CSV)

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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.

As of 28 October 2026, Shell operates 473 petrol stations in Poland, according to Geolocet. The Regions with the highest counts are Śląskie (73), Mazowieckie (65) and Wielkopolskie (47). The CSV has 20 fields, including Phone (83.3%) and Opening hours (83.9%).

Dataset Summary

  • Dataset Coverage: 473 Shell petrol stations in Poland
  • Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
  • File Format: Fully geocoded CSV dataset (UTF-8)
  • Free Sample: Instantly accessible dataset to verify structure and data quality
  • Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
  • Last Updated: 28 October 2026

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.

Map showing the geographical distribution of Shell locations in Poland

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

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)83%
  • Web Address84%
  • Opening Hours84%
  • Popularity Score100%
  • Fuel Type53%

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.

Why download from Geolocet?

  • Instant download: full dataset available immediately after purchase, no waiting, no manual fulfilment
  • Free sample first: verify structure, fields, and coordinate precision before you commit
  • Analysis-ready CSV: clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
  • Regularly updated: last updated 28 October 2026

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

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 2.58 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. This granular regional data helps analysts understand specific market density, localized brand presence, and population-adjusted coverage across Poland.

Region Shell Locations Population Density per 100,000
Śląskie 73 4,290,000 1.7
Mazowieckie 65 5,505,000 1.18
Wielkopolskie 47 3,495,000 1.34
Dolnośląskie 40 2,865,000 1.39
Pomorskie 34 2,355,000 1.44
Małopolskie 32 3,430,000 0.93
Zachodniopomorskie 30 1,620,000 1.85
Łódzkie 29 2,345,000 1.24
Kujawsko-Pomorskie 25 1,980,000 1.26
Lubuskie 25 965,000 2.58
Podkarpackie 17 2,060,000 0.82
Lubelskie 13 1,995,000 0.65
Opolskie 12 930,000 1.29
Warmińsko-Mazurskie 12 1,345,000 0.89
Podlaskie 11 1,140,000 0.96
Świętokrzyskie 8 1,155,000 0.69

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

Also available for Poland

Brand bundle

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

All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.

View the Top 9 Petrol Station Brands dataset →

Full market coverage

Poland Petrol Station POI Dataset: 10,275 Locations

Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.

View the Poland Petrol Station POI 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.

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

Q: How many Shell petrol stations are there in each Region of Poland?

A: As of 28 October 2026, Shell has 73 petrol stations in Śląskie (1.70 stores per 100,000 residents), 65 in Mazowieckie (1.18 stores per 100,000 residents) and 47 in Wielkopolskie (1.34 stores per 100,000 residents). Dolnośląskie follows with 40.

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 85.8%, Street 90.5%, City 99.8%, Wheelchair 96.2%, Phone 83.3%, Website 83.5%, Fuel Type 53.5% and Opening hours 83.9%.

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 Shell 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 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.