Poland EV Charging Stations Locations Dataset – Top 21 EV Charging Station Brands
Poland EV Charging Stations Locations Dataset – Top 21 EV Charging Station Brands
Top 21 EV Charging Station Chains Across Poland: Premium Multi-Brand Location Dataset
Unlock a complete, ready-to-use dataset featuring the leading EV Charging Station brands in Poland. This expertly compiled Top Brands dataset consolidates all major EV Charging Station chains in Poland, delivering a clean, standardised and analysis-ready collection of 5,748 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.
Last updated: 2 June 2026.
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
Brand distribution
- Arinea – 95 locations in Poland
- Budimex – 184 locations in Poland
- ChargeIn – 67 locations in Poland
- E.ON – 25 locations in Poland
- Eleport – 220 locations in Poland
- Elocity – 1,056 locations in Poland
- Energa – 113 locations in Poland
- EQUAY – 146 locations in Poland
- eTAURON – 197 locations in Poland
- EV Plus – 134 locations in Poland
- GO+ EAuto – 54 locations in Poland
- GreenWay – 912 locations in Poland
- Horyzont – 75 locations in Poland
- Kaufland – 204 locations in Poland
- Lidl – 710 locations in Poland
- MOYA – 71 locations in Poland
- Noxo – 218 locations in Poland
- ORLEN – 550 locations in Poland
- Porsche Destination – 116 locations in Poland
- Powerdot – 522 locations in Poland
- Tesla – 79 locations in Poland
EV Charging Stations distribution by Region
- Śląskie: 835 stations
- Mazowieckie: 708 stations
- Wielkopolskie: 562 stations
- Pomorskie: 520 stations
- Dolnośląskie: 486 stations
- Zachodniopomorskie: 424 stations
- Małopolskie: 405 stations
- Kujawsko-Pomorskie: 356 stations
- Łódzkie: 332 stations
- Warmińsko-Mazurskie: 248 stations
- Lubuskie: 192 stations
- Podkarpackie: 177 stations
- Lubelskie: 171 stations
- Opolskie: 120 stations
- Podlaskie: 109 stations
- Świętokrzyskie: 103 stations
Direct access after purchase of the complete locations dataset for Poland
Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.
Evaluate the dataset before purchase
A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.
Related geospatial datasets
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- Demographics dataset for Poland: Overlay demographic indicators to deeply understand the population structures and household types surrounding these ev charging stations 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.
Frequently Asked Questions
Q: Can this dataset be imported into Power BI or Tableau?
A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.
Q: Does the dataset include latitude and longitude coordinates?
A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Q: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
Q: Can I combine this dataset with administrative boundaries?
A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.
Q: Can this dataset be used for academic or research purposes?
A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this this multi-brand dataset to identify underserved regions in Poland for potential market expansion.""Assess how effectively the current this multi-brand network covers major commercial and residential hubs across Poland.""Identify regions in Poland where this multi-brand has a disproportionately strong or weak presence relative to population density."