Norway EV Charging Stations Locations Dataset – Top 12 EV Charging Station Brands
Norway EV Charging Stations Locations Dataset – Top 12 EV Charging Station Brands
Top 12 EV Charging Station Chains Across Norway: Premium Multi-Brand Location Dataset
Unlock a complete, ready-to-use dataset featuring the leading EV Charging Station brands in Norway. This expertly compiled Top Brands dataset consolidates all major EV Charging Station chains in Norway, delivering a clean, standardised and analysis-ready collection of 3,155 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.
Last updated: 16 July 2026.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- Town
- Admin_level_1
- Admin_level_2
- Municipality
- Region
- Population
- Postal Code
- Address
Brand distribution
- Charge365 – 97 locations in Norway
- Circle K – 144 locations in Norway
- E.ON Drive – 75 locations in Norway
- EVBox – 53 locations in Norway
- Eviny – 304 locations in Norway
- IONITY – 52 locations in Norway
- Kople – 776 locations in Norway
- Mer – 504 locations in Norway
- Oslo kommune – 314 locations in Norway
- Recharge – 427 locations in Norway
- Tesla – 310 locations in Norway
- Uno-X – 99 locations in Norway
EV Charging Stations distribution by Region
- Oslo Og Viken: 1,252 ev charging stations
- Vestlandet: 618 ev charging stations
- Agder Og Sør-Østlandet: 458 ev charging stations
- Nord-Norge: 319 ev charging stations
- Innlandet: 277 ev charging stations
- Trøndelag: 231 ev charging stations
Direct access after purchase of the complete locations dataset for Norway
Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.
Evaluate the dataset before purchase
A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.
Related geospatial datasets
- Administrative boundaries and full polygon dataset for Norway: Map these ev charging stations 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 ev charging stations 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.
Frequently Asked Questions
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Is this dataset suitable for market analysis?
A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.
Q: Can I use this dataset for proximity analysis?
A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.
Q: Can I preview the dataset before purchasing?
A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.
Q: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this this multi-brand dataset to identify underserved regions in Norway for potential market expansion.""Assess the accessibility of this multi-brand locations in Norway based on proximity to population centers and public infrastructure.""Cross-reference these ev charging stations with urban transit data to score each location's accessibility for non-driving customers."