Tesla EV Charging Station Locations Dataset – Norway

Tesla, the American electric vehicle manufacturer, operates its own Supercharger fast-charging network in Norway (increasingly open to other EV brands too), alongside a separate, slower network of Destination Chargers hosted by hotels, shops and other venues.

There are 310 Tesla 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 Tesla 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 Tesla dataset in Norway

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
3347b5c...	Tesla Supercharger	68.497481	16.703161	8536	19 Normann Skoglunds vei, 8536, Evene...
f7bdccc...	Tesla Supercharger	61.103674	5.513023	6947	Primær Fylkesvei 607, 6947, Høyanger,...
0238a12...	Tesla Supercharger	69.961118	23.232926	9513	1 Bossekopveien, 9513, Alta, Norway
bd0e24f...	Tesla Destination Charger	70.477964	25.065973	9713	E69, 9713, Porsanger, Norway
e180b0d...	Tesla Supercharger	58.240389	8.298362	4790	1 Legdene, 4790, Lillesand, 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.

✅ Data looks right? Add to cart ↑ - or download the free sample first.

Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Tesla locations in Norway is found in Vestlandet (83 sites, equivalent to 5.78 Tesla ev charging stations per 100,000 residents). This is followed by Nord-Norge (58 sites; 11.84 per 100,000) and Oslo Og Viken (56 sites; 2.71 per 100,000). From a market-penetration perspective, Nord-Norge has the highest brand density at 11.84 locations per 100,000 people (population: 490,000), making it the most saturated region for Tesla in Norway. By contrast, Oslo Og Viken records only 2.71 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 Tesla 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 Tesla 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?

• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).

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 Tesla dataset to identify underserved regions in Norway for potential market expansion."
• "Using this Tesla data, find high-traffic retail corridors in Norway with low ev charging stations density for competitive positioning."
• "Cross-reference these ev charging stations with urban transit data to score each location's accessibility for non-driving customers."

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.