EVBox EV Charging Station Locations Dataset – Norway

A charging equipment and software company founded in Amsterdam in 2010, manufacturing EV chargers and providing the Everon charge point management platform used by charge point operators worldwide. EVBox-branded and EVBox-powered chargers appear at various sites in Norway through partner installers and site hosts rather than as a single unified public network.

There are 53 EVBox 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 EVBox 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 EVBox dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
518f0fa...	EVBox Charging Station	62.469677	6.364658	6018	2 Holssletta, 6018, Ålesund, Norway
218ff69...	EVBox Charging Station	59.847915	10.819482	1283	46 Jordstjerneveien, 1283, Oslo, Norway
d10fc20...	EVBox Charging Station	60.114565	11.498114	2150	200 Svarverudvegen, 2150, Nes, Norway
8fffd27...	EVBox Charging Station	59.908128	10.619328	1366	20 Philip Pedersens vei, 1366, Bærum,...

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 EVBox locations in Norway is found in Oslo Og Viken (36 sites, equivalent to 1.74 EVBox ev charging stations per 100,000 residents). This is followed by Agder Og Sør-Østlandet (6 sites; 0.78 per 100,000) and Innlandet (4 sites; 1.05 per 100,000). From a market-penetration perspective, Oslo Og Viken has the highest brand density at 1.74 locations per 100,000 people (population: 2,070,000), making it the most saturated region for EVBox 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 EVBox 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 EVBox 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?

• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• 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 EVBox dataset to identify underserved regions in Norway for potential market expansion."
• "Analyze proximity between EVBox locations and major highways, ring roads, or arterial transport corridors in Norway."
• "Identify municipalities in Norway with strong demographic potential but no nearby EVBox presence."

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.