Denmark EV Charging Stations Locations Dataset – Top 14 EV Charging Station Brands
Denmark EV Charging Stations Locations Dataset – Top 14 EV Charging Station Brands
Top 14 EV Charging Station Chains Across Denmark: Premium Multi-Brand Location Dataset
Unlock a complete, ready-to-use dataset featuring the leading EV Charging Station brands in Denmark. This expertly compiled Top Brands dataset consolidates all major EV Charging Station chains in Denmark, delivering a clean, standardised and analysis-ready collection of 9,495 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.
Last updated: 15 July 2026.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Kommune
- Region
- Population
- Postal Code
- Address
Brand distribution
- Circle K – 102 locations in Denmark
- Clever – 2,971 locations in Denmark
- Drivee – 223 locations in Denmark
- E.ON – 978 locations in Denmark
- EWII – 471 locations in Denmark
- Monta ApS – 496 locations in Denmark
- Norlys – 1,236 locations in Denmark
- OK – 921 locations in Denmark
- PowerGo – 259 locations in Denmark
- Q8 – 61 locations in Denmark
- Shell Recharge – 57 locations in Denmark
- Spirii – 1,574 locations in Denmark
- Tesla – 74 locations in Denmark
- Virta – 72 locations in Denmark
EV Charging Stations distribution by Region
- Region Hovedstaden: 2,675 ev charging stations
- Region Syddanmark: 2,180 ev charging stations
- Region Midtjylland: 2,142 ev charging stations
- Region Sjælland: 1,427 ev charging stations
- Region Nordjylland: 1,071 ev charging stations
Direct access after purchase of the complete locations dataset for Denmark
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 Denmark: Map these ev charging stations locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Denmark: Overlay demographic indicators to deeply understand the population structures and household types surrounding these ev charging stations locations.
- Explore demographics data insights for Denmark: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Denmark (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
- Income distribution and socio-economic patterns in Denmark - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
- Explore a rich library of Denmark-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 Denmark
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: 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: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Can this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Does the dataset include latitude and longitude coordinates?
A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.
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 Denmark for potential market expansion.""Analyze the relationship between this multi-brand site distribution and regional economic activity across Denmark.""Assess the accessibility of this multi-brand locations in Denmark based on proximity to population centers and public infrastructure."