Eviny EV Charging Station Locations Dataset – Norway

A Norwegian power company based in Bergen (formerly part of BKK, which split its grid and commercial businesses in 2022), majority-owned by Statkraft, Bergen municipality and other Vestland municipalities. Its Eviny Fast Charging business, using the Bilkraft app, is one of Norway's largest fast-charging networks, especially strong in Western Norway; in July 2026 Eviny agreed to merge this business with Statkraft's Mer to form a new joint venture, Eviny Elektrifisering, pending regulatory approval.

There are 304 Eviny 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 Eviny 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 Eviny dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
64954cd...	Eviny Charging Station	58.971760	9.521722	3967	Langrønningen, 3967, Bamble, Norway
adff2f3...	Eviny Charging Station	61.349278	6.118687	6978	1110 Gaularfjellsvegen, 6978, Sunnfjo...
1d2f5c5...	Eviny Charging Station	60.567372	6.913754	5730	Katrinastykket, 5730, Ulvik, Norway
34fe947...	Eviny Charging Station	58.783294	7.332655	4540	4540, Åseral, Norway
1473d38...	Eviny Charging Station	62.559352	7.681597	6300	6300, Rauma, 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 Eviny locations in Norway is found in Vestlandet (145 sites, equivalent to 10.1 Eviny ev charging stations per 100,000 residents). This is followed by Agder Og Sør-Østlandet (52 sites; 6.8 per 100,000) and Oslo Og Viken (39 sites; 1.88 per 100,000). From a market-penetration perspective, Vestlandet has the highest brand density at 10.1 locations per 100,000 people (population: 1,435,000), making it the most saturated region for Eviny in Norway. By contrast, Oslo Og Viken records only 1.88 locations per 100,000 residents (population: 2,070,000), 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 Eviny 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 Eviny 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.
• 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.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.

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 Eviny dataset to identify underserved regions in Norway for potential market expansion."
• "Generate regional density heatmaps showing where Eviny has the strongest and weakest retail presence in Norway."
• "Analyze geographic gaps in the current Eviny network and identify underserved regions in Norway with strong expansion potential."

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.