E.ON EV Charging Station Locations Dataset – Slovakia

E.ON EV Charging Station Locations Dataset – SlovakiaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI eCarUp is a Swiss e mobility platform that connects charging station owners and EV drivers through a hardware independent backend, enabling public and private charging with integrated access control and payment solutions. There are 116 E. ON EV Charging Stations as of 4 June 2026 in Slovakia. This dataset is compiled and

eCarUp is a Swiss e-mobility platform that connects charging station owners and EV drivers through a hardware-independent backend, enabling public and private charging with integrated access control and payment solutions.

There are 116 E.ON EV Charging Stations as of 4 June 2026 in Slovakia. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all E.ON 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 E.ON dataset in Slovakia

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 E.ON locations in Slovakia is found in Bratislavský Kraj (36 sites, equivalent to 4.68 E.ON ev charging stations per 100,000 residents). This is followed by Prešovský Kraj (17 sites; 2.21 per 100,000) and Trnavský Kraj (14 sites; 2.41 per 100,000). From a market-penetration perspective, Bratislavský Kraj has the highest brand density at 4.68 locations per 100,000 people (population: 770,000), making it the most saturated region for E.ON in Slovakia. By contrast, Banskobystrický Kraj records only 1.16 locations per 100,000 residents (population: 605,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Slovakia

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Slovakia: Map these E.ON locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Slovakia: Overlay demographic indicators to deeply understand the population structures and household types surrounding these E.ON locations.

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?

• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.

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 E.ON dataset to identify underserved regions in Slovakia for potential market expansion."
• "Identify isolated E.ON sites in Slovakia that may face operational inefficiencies due to low regional clustering."
• "Rank the top-performing urban areas in Slovakia for future E.ON expansion based on existing location density and regional population."

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.