E.ON EV Charging Station Locations Dataset – Romania

E.ON EV Charging Station Locations Dataset – Romania

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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 Summary

  • Dataset Coverage: 163 E.ON ev charging stations in Romania
  • 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.

Map showing the geographical distribution of E.ON locations in Romania

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Admin_level_1
  • Admin_level_2
  • Municipality
  • County
  • 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 E.ON dataset in Romania

ID Location Title Latitude Longitude Postal Code Full Address
f5d7169... E.ON Drive Charging Station 45.705248 27.177476 RO (COUNTRY) 620027 2 Strada Bicaz, Focșani, RO (COUNTRY)...
e1756e1... E.ON Drive Charging Station 45.625841 25.411050 507055 Str. Heleșteului, Vulcan, 507055, Com...
a60eae5... E.ON Drive Charging Station 47.040763 22.029011 417360 146 E60, Oșorhei, 417360, Comuna Oșor...
8108764... E.ON Drive Charging Station 47.658535 26.267524 720018 22 Calea Unirii, Suceava, 720018, Mun...
25d0299... E.ON Drive Charging Station 45.175612 23.667185 215300 152-154 Strada Parângului, Novaci, 21...

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 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

Brand bundle

Top 15 EV Charging Stations Brands in Romania - €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 Romania - 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 contact@geolocet.com.

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

Q: Is this dataset useful for accessibility studies?

A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.

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: How are addresses standardized?

A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.

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: Can I request the data in GeoJSON or Shapefile format?

A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.

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.