All EV Charging Station Locations in Norway: Complete Geographic Dataset
All EV Charging Station Locations in Norway: Complete Geographic Dataset
All EV Charging Stations locations in Norway - complete national dataset
This dataset contains a complete, geocoded collection of EV Charging Stations in Norway, including branded chains and independent locations. It provides a complete national coverage with 5,258 verified locations suitable for territory planning, market sizing and spatial analysis.
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
- Agder Og Sør-Østlandet: 731 ev charging stations
- Innlandet: 470 ev charging stations
- Nord-Norge: 520 ev charging stations
- Oslo Og Viken: 1,901 ev charging stations
- Trøndelag: 433 ev charging stations
- Vestlandet: 1,203 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 accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
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 useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
Q: Can this dataset be used for logistics planning?
A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.
Q: Can I request the data in GeoJSON or Shapefile format?
A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.
Q: Can I combine this dataset with administrative boundaries?
A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
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."