All EV Charging Station Locations in Poland: Complete Geographic Dataset

All EV Charging Station Locations in Poland: Complete Geographic Dataset

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All EV Charging Stations locations in Poland - complete national dataset

This dataset contains a complete, geocoded collection of EV Charging Stations in Poland, including branded chains and independent locations. It provides a complete national coverage with 6,723 verified locations suitable for territory planning, market sizing and spatial analysis.

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

  • Dolnośląskie: 573 stations
  • Kujawsko-Pomorskie: 397 stations
  • Lubelskie: 192 stations
  • Lubuskie: 220 stations
  • Mazowieckie: 876 stations
  • Małopolskie: 516 stations
  • Opolskie: 155 stations
  • Podkarpackie: 214 stations
  • Pomorskie: 576 stations
  • Wielkopolskie: 641 stations
  • Zachodniopomorskie: 478 stations
  • Łódzkie: 373 stations
  • Śląskie: 977 stations
  • Świętokrzyskie: 120 stations
  • Podlaskie: 145 stations
  • Warmińsko-Mazurskie: 270 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.

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: 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: Can this dataset be used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

Q: Is the dataset immediately downloadable after purchase?

A: Yes. The full dataset becomes available for instant digital download immediately after purchase.

Q: Does the dataset include unique identifiers?

A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.

Q: Does the dataset contain duplicate locations?

A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.

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 I request custom enrichment fields?

A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.

Q: Are postal codes included for all locations?

A: Postal codes are included wherever available and validated as part of the standardization workflow.

 

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."