GreenWay EV Charging Station Locations Dataset – Poland

GreenWay EV Charging Station Locations Dataset – PolandQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI GreenWay is one of the largest and most recognizable electric vehicle charging network operators in Poland and Central Europe. It provides comprehensive charging solutions, offering seamless domestic and international roaming through its application and RFID cards. There are 912 GreenWay EV Charging Stations as of 2 June

GreenWay is one of the largest and most recognizable electric vehicle charging network operators in Poland and Central Europe. It provides comprehensive charging solutions, offering seamless domestic and international roaming through its application and RFID cards.

There are 912 GreenWay EV Charging Stations as of 2 June 2026 in Poland. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all GreenWay 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 Preview: Sample geospatial records from the GreenWay dataset in 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 GreenWay locations in Poland is found in Śląskie (144 sites, equivalent to 3.36 GreenWay ev charging stations per 100,000 residents). This is followed by Mazowieckie (115 sites; 2.09 per 100,000) and Łódzkie (90 sites; 3.84 per 100,000). From a market-penetration perspective, Łódzkie has the highest brand density at 3.84 locations per 100,000 people (population: 2,345,000), making it the most saturated region for GreenWay in Poland. By contrast, Podkarpackie records only 0.97 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 GreenWay 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 GreenWay 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 [email protected].

Who uses this data?

• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.

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 GreenWay dataset to identify underserved regions in Poland for potential market expansion."
• "Cross-reference these ev charging stations with urban transit data to score each location's accessibility for non-driving customers."
• "Assess how effectively the current GreenWay network covers major commercial and residential hubs across 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.