bp Petrol Station Locations Dataset – Poland
bp Petrol Station Locations Dataset – Poland
bp is one of Poland’s largest foreign fuel retailers, known for its premium Ultimate fuels and modern convenience stores, often featuring Wild Bean Cafe concepts and retail partnerships.
There are 596 bp 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 bp locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.
Dataset Summary
- Dataset Coverage: 596 bp 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: 7 July 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.
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)92%
- Web Address92%
- Opening Hours92%
- Popularity Score100%
Data Preview: Sample geospatial records from the bp dataset in Poland
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 6c457b7... | bp (Wilda) | 52.375020 | 16.893849 | 61-476 | 102 Czechosłowacka, Poznań, 61-476, P... |
| fb727dd... | bp (Wola) | 52.239524 | 20.934758 | 01-456 | 159 Górczewska, Warszawa, 01-456, Pow... |
| 7de39b5... | bp (Okmiany) | 51.273393 | 15.786412 | 59-225 | 1B Szwedzka, Okmiany, 59-225, Powiat ... |
| ba8a426... | bp (Podgórze) | 50.034245 | 19.939868 | 30-415 | 4 Wadowicka, Kraków, 30-415, Powiat K... |
| b974d61... | bp (Kępno) | 51.288959 | 17.994281 | 63-600 | 26 rondo Solidarności, Kępno, 63-600,... |
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 7 July 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 bp locations in Poland is found in Mazowieckie (101 sites, equivalent to 1.83 bp petrol stations per 100,000 residents). This is followed by Śląskie (82 sites; 1.91 per 100,000) and Małopolskie (76 sites; 2.22 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 bp in Poland. By contrast, Podlaskie records only 0.53 locations per 100,000 residents (population: 1,140,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Also available for Poland
Brand bundle
Top 9 Petrol Stations Brands in Poland - €264
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View Top Brands dataset →Full market coverage
All Petrol Stations Locations in Poland - complete POI dataset
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 full POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Poland: Map these bp 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 bp 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?
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- 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.
- 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.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
Frequently Asked Questions
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Q: What file format is included with the download?
A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.
Q: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Can this data be combined with demographics datasets?
A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Q: Are the datasets suitable for machine learning workflows?
A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this bp dataset to identify underserved regions in Poland for potential market expansion.""Identify locations where multiple bp sites compete within overlapping catchment areas in Poland.""Analyze which bp 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.