IONITY EV Charging Station Locations Dataset – Norway

A pan-European high-power charging network founded in 2017 as a joint venture of BMW, Ford, Hyundai, Mercedes-Benz and the Volkswagen Group (Audi and Porsche), with BlackRock's Climate Infrastructure Platform as a financial investor. IONITY builds ultra-fast highway charging hubs (up to 350 kW) along major routes across 24 European countries, including a growing string of stations the length of Norway.

There are 52 IONITY 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 IONITY 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 IONITY dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
f89ea49...	IONITY Charging Station	61.574791	6.483425	6843	3261 Jølstravegen, 6843, Sunnfjord, N...
88dd634...	IONITY Charging Station	68.117584	15.872340	8276	Hamarøyveien, 8276, Hamarøy, Norway
6365b39...	IONITY Charging Station	61.589255	9.766747	2640	Nedregata, 2640, Nord-Fron, Norway
5686823...	IONITY Charging Station	60.253088	11.182566	2072	9 Industrivegen, 2072, Ullensaker, No...
ac6f15f...	IONITY Charging Station	60.702333	8.942934	3550	91 Sentrumsvegen, 3550, Gol, 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 IONITY locations in Norway is found in Innlandet (13 sites, equivalent to 3.42 IONITY ev charging stations per 100,000 residents). This is followed by Vestlandet (13 sites; 0.91 per 100,000) and Oslo Og Viken (9 sites; 0.43 per 100,000). From a market-penetration perspective, Innlandet has the highest brand density at 3.42 locations per 100,000 people (population: 380,000), making it the most saturated region for IONITY in Norway. By contrast, Oslo Og Viken records only 0.43 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 IONITY 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 IONITY 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?

• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.

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 IONITY dataset to identify underserved regions in Norway for potential market expansion."
• "Using this IONITY data, find high-traffic retail corridors in Norway with low ev charging stations density for competitive positioning."
• "Compare the spatial distribution of IONITY locations against major competitor clusters to identify overlap and whitespace opportunities 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.