Charge365 EV Charging Station Locations Dataset – Norway

A Norwegian EV charging payment and management platform, originally developed under Zaptec and acquired by Wattif EV in 2023. It is used mainly by housing cooperatives (borettslag) and apartment buildings across Norway to automatically split and bill electricity costs for shared chargers, typically paired with Zaptec Pro charging hardware.

There are 97 Charge365 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 Charge365 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 Charge365 dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
e18a73d...	Charge365 Charging Station	62.365993	6.044897	6060	6060, Hareid, Norway
374bdc0...	Charge365 Charging Station	61.750299	9.726065	2642	2642, Nord-Fron, Norway
023a23e...	Charge365 Charging Station	60.524189	5.505649	5282	5282, Osterøy, Norway
f7d21cf...	Charge365 Charging Station	66.312218	14.135635	8622	28 Fridtjof Nansens gate, 8622, Rana,...
2a62b14...	Charge365 Charging Station	61.313190	12.267579	2420	27 Storvegen, 2420, Trysil, 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 Charge365 locations in Norway is found in Nord-Norge (25 sites, equivalent to 5.1 Charge365 ev charging stations per 100,000 residents). This is followed by Vestlandet (21 sites; 1.46 per 100,000) and Trøndelag (18 sites; 3.67 per 100,000). From a market-penetration perspective, Nord-Norge has the highest brand density at 5.1 locations per 100,000 people (population: 490,000), making it the most saturated region for Charge365 in Norway. By contrast, Oslo Og Viken records only 0.48 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 Charge365 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 Charge365 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?

• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.

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 Charge365 dataset to identify underserved regions in Norway for potential market expansion."
• "Detect clusters where Charge365 sites are in close proximity to analyze potential self-cannibalization in Norway."
• "Identify fast-growing suburban areas in Norway that currently have limited access to nearby ev charging stations."

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.