Pieprzyk Petrol Station Locations Dataset – Poland

Grupa Pieprzyk is a major independent Polish fuel and retail group operating a strong regional network of petrol stations across western and central Poland.

There are 145 Pieprzyk 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 Pieprzyk 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 Pieprzyk dataset in Poland

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
dd14858...	Pieprzyk (Rymań)	53.948197	15.536924	78-125	44b Koszalińska, Rymań, 78-125, Powia...
a8eaaa0...	Pieprzyk (Przewóz)	51.485669	14.960186	68-132	1a Kolejowa, Przewóz, 68-132, Powiat ...
150453b...	Pieprzyk (Masłowiec)	51.378849	17.174331	55-100	1 Przebiśniegowa, Masłowiec, 55-100, ...
351034f...	Pieprzyk (Fabryczna)	51.095553	16.962312	54-001	46A Krzemieniecka, Wrocław, 54-001, P...
887badf...	Pieprzyk (Koszuty)	52.233451	17.177660	63-022	Koszuty, 63-022, Powiat średzki, Poland

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 Pieprzyk locations in Poland is found in Dolnośląskie (42 sites, equivalent to 1.47 Pieprzyk petrol stations per 100,000 residents). This is followed by Wielkopolskie (35 sites; 1.0 per 100,000) and Łódzkie (18 sites; 0.77 per 100,000). From a market-penetration perspective, Opolskie has the highest brand density at 1.61 locations per 100,000 people (population: 930,000), making it the most saturated region for Pieprzyk in Poland. By contrast, Podkarpackie records only 0.05 locations per 100,000 residents (population: 2,060,000), 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 Pieprzyk 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 Pieprzyk 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.
• 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.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• 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.

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 Pieprzyk dataset to identify underserved regions in Poland for potential market expansion."
• "Using this Pieprzyk data, find high-traffic retail corridors in Poland with low petrol stations density for competitive positioning."
• "Detect clusters where Pieprzyk sites are in close proximity to analyze potential self-cannibalization in Poland."

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.