E.ON EV Charging Station Locations Dataset – Romania

E.ON EV Charging Station Locations Dataset – RomaniaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI E. ON Drive Infrastructure is a charge point operator and part of the global E. ON Group, one of the world's largest electric utility companies. Operating under the E. ON Drive brand in Romania, it provides fast and ultra fast public charging stations powered by renewable energy, with a strong international presence

E.ON Drive Infrastructure is a charge point operator and part of the global E.ON Group, one of the world's largest electric utility companies. Operating under the E.ON Drive brand in Romania, it provides fast and ultra-fast public charging stations powered by renewable energy, with a strong international presence across Europe.

There are 163 E.ON EV Charging Stations as of 2 June 2026 in Romania. 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 Romania

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 Romania is found in Iași (18 sites, equivalent to 2.31 E.ON ev charging stations per 100,000 residents). This is followed by Ilfov (14 sites; 2.33 per 100,000) and Brașov (11 sites; 1.96 per 100,000). From a market-penetration perspective, Ilfov has the highest brand density at 2.33 locations per 100,000 people (population: 600,000), making it the most saturated region for E.ON in Romania. By contrast, Galați records only 0.21 locations per 100,000 residents (population: 485,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Romania

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Romania: Map these E.ON locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Romania: 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?

• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• 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.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.

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 Romania for potential market expansion."
• "Identify potential regional logistics bottlenecks caused by uneven geographic distribution of E.ON locations in Romania."
• "Identify strategic locations in Romania where new E.ON sites could maximize geographic coverage while minimizing overlap."

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.