Virta EV Charging Station Locations Dataset – Denmark

Virta (Virta Ltd / Liikennevirta Oy) is a Finnish company, founded in Helsinki in 2013, that provides a cloud-based EV charging management platform used by charge point operators worldwide. In Denmark it powers charging networks run by third-party site hosts and operators rather than operating its own branded stations.

There are 72 Virta EV Charging Stations as of 15 July 2026 in Denmark. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Virta 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 Virta dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
b64b59c...	Virta Charging Station	55.941489	11.617859	4500	9 Nattergalevej, Nykøbing Sjælland, 4...
eda420a...	Virta Global Charging Station	55.819527	12.573566	2942	139 Skodsborg Strandvej, Skodsborg, 2...
dab8155...	VIRTA Charging Station	55.675168	12.585994	1216	1 Slotsholmsgade, København, 1216, De...
78a6237...	Virta Global Charging Station	55.868624	12.491023	2970	24 Agern Alle, Hørsholm, 2970, Denmark
7ea98a6...	VIRTA Charging Station	57.037720	9.924237	9000	7 Blytækkervej, Aalborg, 9000, Denmark

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 Virta locations in Denmark is found in Region Hovedstaden (26 sites, equivalent to 1.34 Virta ev charging stations per 100,000 residents). This is followed by Region Midtjylland (15 sites; 1.09 per 100,000) and Region Nordjylland (15 sites; 2.54 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 2.54 locations per 100,000 people (population: 590,000), making it the most saturated region for Virta in Denmark. By contrast, Region Syddanmark records only 0.48 locations per 100,000 residents (population: 1,240,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Denmark

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Denmark: Map these Virta 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 Virta 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.

Who uses this data?

• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.

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 Virta dataset to identify underserved regions in Denmark for potential market expansion."
• "Assess the accessibility of Virta locations in Denmark based on proximity to population centers and public infrastructure."
• "Identify fast-growing suburban areas in Denmark that currently have limited access to nearby ev charging stations."

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.