E.ON EV Charging Station Locations Dataset – Denmark

The Danish arm of E.ON, a major German multinational energy company. Its public EV charging network operates under the E.ON Drive brand, run by its infrastructure unit E.ON Drive Infrastructure (EDRI), alongside separate home-charging and business subscription products.

There are 978 E.ON EV Charging Stations as of 15 July 2026 in Denmark. 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 Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
8dfe16e...	E.ON Drive Charging Station	55.304863	12.192975	4653	26 Solagervej, Karise, 4653, Denmark
5b758cd...	E.ON Drive Charging Station	56.882011	9.830323	9530	75 Mastrupvej, Støvring, 9530, Denmark
ab3a487...	E.ON Drive Charging Station	54.948966	9.694157	6400	Vester Sottrup, 6400, Denmark
8f81879...	E.ON Drive Charging Station	54.993523	15.077335	3730	2A Fyrvejen, Nexø, 3730, Denmark
1f035ba...	E.ON Drive Charging Station	57.457459	9.831185	9800	23 Klangshøjvej, Hjørring, 9800, Denmark

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 Denmark is found in Region Hovedstaden (410 sites, equivalent to 21.13 E.ON ev charging stations per 100,000 residents). This is followed by Region Syddanmark (208 sites; 16.77 per 100,000) and Region Nordjylland (145 sites; 24.58 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 24.58 locations per 100,000 people (population: 590,000), making it the most saturated region for E.ON in Denmark. By contrast, Region Sjælland records only 9.12 locations per 100,000 residents (population: 855,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Denmark

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Denmark: Map these E.ON locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Denmark: Overlay demographic indicators to deeply understand the population structures and household types surrounding these E.ON locations.
• Explore demographics data insights for Denmark: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Denmark (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
• Income distribution and socio-economic patterns in Denmark - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
• Explore a rich library of Denmark-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for Denmark

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?

• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• 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.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.

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 Denmark for potential market expansion."
• "Detect clusters where E.ON sites are in close proximity to analyze potential self-cannibalization in Denmark."
• "Calculate the total population coverage for E.ON in Denmark using a 10km catchment radius around each coordinate."

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.