SKU: 44827182946

Powerdot EV Charging Station Locations Dataset – Poland

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Description

Powerdot EV Charging Station Locations Dataset – PolandQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Powerdot is an international operator of destination charging stations for electric vehicles, highly active in the Polish market. It partners with retail centers, supermarkets, and public spaces to install and manage fast charging infrastructure without capital expenditure from the location owners. There are 522 Powerdot

Powerdot is an international operator of destination charging stations for electric vehicles, highly active in the Polish market. It partners with retail centers, supermarkets, and public spaces to install and manage fast-charging infrastructure without capital expenditure from the location owners.

There are 522 Powerdot 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 Powerdot 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: 522 Powerdot ev charging stations in Poland
  • Contents: Coordinates, addresses, postal codes, and administrative divisions
  • 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: 2 June 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

Require additional attributes such as charging points, charger types, or charging speed? Contact us to request a custom data enrichment.

Data Preview: Sample geospatial records from the Powerdot dataset in Poland

ID Location Title Latitude Longitude Postal Code Full Address
8d92766... Powerdot Charging Station 51.111023 15.574814 59-600 3b Oświęcimska, Lwówek Śląski, 59-600...
b78d597... Powerdot Charging Station 50.076596 18.618387 44-251 322A Żorska, Rybnik, 44-251, Powiat R...
d514882... Powerdot Charging Station 52.535769 19.740654 09-410 6 Trasa ks. Jerzego Popiełuszki, Płoc...
db05258... Powerdot Charging Station 51.656492 17.783052 63-410 63 Bartosza Głowackiego, Ostrów Wielk...
037f85c... Powerdot Charging Station 53.559311 16.230883 78-550 19 Długa, Czaplinek, 78-550, Powiat d...

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 2 June 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 Powerdot locations in Poland is found in Wielkopolskie (68 sites, equivalent to 1.95 Powerdot ev charging stations per 100,000 residents). This is followed by Mazowieckie (61 sites; 1.11 per 100,000) and Śląskie (54 sites; 1.26 per 100,000). From a market-penetration perspective, Lubuskie has the highest brand density at 4.66 locations per 100,000 people (population: 965,000), making it the most saturated region for Powerdot in Poland. By contrast, Warmińsko-Mazurskie records only 0.67 locations per 100,000 residents (population: 1,345,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Poland

Brand bundle

Top 21 EV Charging Stations Brands in Poland - €240

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 EV Charging 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 →

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?

  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
  • B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).

Frequently Asked Questions

Q: Can I use this dataset for competitor benchmarking?

A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.

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: 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 opening hours?

A: Yes, opening hours are included where publicly available and validated during the data standardization process.

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.

Q: Are phone numbers and websites included?

A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this Powerdot dataset to identify underserved regions in Poland for potential market expansion."
  • "Analyze geographic gaps in the current Powerdot network and identify underserved regions in Poland with strong expansion potential."
  • "Identify fast-growing suburban areas in Poland that currently have limited access to nearby ev charging stations."

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.

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SKU: 44827182946

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