E.ON Drive EV Charging Station Locations Dataset – Norway

The Norwegian public EV charging arm of E.ON, the major German multinational energy company. E.ON Drive installs and operates AC and DC charging points, offering both pay-as-you-go and subscription-based charging for private and business customers.

There are 75 E.ON Drive EV Charging Stations as of 16 July 2026 in Norway. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all E.ON Drive 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 Drive dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
b8c6ffe...	E.ON Drive Charging Station	59.437217	10.645240	1511	13 Værftsgata, 1511, Moss, Norway
26e5a9f...	E.ON Drive Charging Station	60.591591	5.818294	5722	30 Skulegata, 5722, Vaksdal, Norway
8a24507...	E.ON Charging Station	63.420249	10.391439	7030	Edvard Griegs gate, 7030, Trondheim, ...
9e9bb0a...	E.ON Drive Charging Station	60.475582	5.742223	5725	Vaksdalsgarden, 5725, Vaksdal, Norway

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 Drive locations in Norway is found in Trøndelag (36 sites, equivalent to 7.35 E.ON Drive ev charging stations per 100,000 residents). This is followed by Oslo Og Viken (19 sites; 0.92 per 100,000) and Innlandet (12 sites; 3.16 per 100,000). From a market-penetration perspective, Trøndelag has the highest brand density at 7.35 locations per 100,000 people (population: 490,000), making it the most saturated region for E.ON Drive in Norway. By contrast, Nord-Norge records only 0.2 locations per 100,000 residents (population: 490,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Norway

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Norway: Map these E.ON Drive locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Norway: Overlay demographic indicators to deeply understand the population structures and household types surrounding these E.ON Drive locations.
• Explore demographics data insights for Norway: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Explore a rich library of Norway-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 Norway

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?

• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• 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.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.

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 Drive dataset to identify underserved regions in Norway for potential market expansion."
• "Analyze the clustering behavior of E.ON Drive locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
• "Analyze proximity between E.ON Drive locations and major highways, ring roads, or arterial transport corridors in Norway."

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.