PowerGo EV Charging Station Locations Dataset – Denmark

A Dutch charge point operator, subsidiary of solar-energy company PowerField, that designs, installs and operates public EV charging points - including ultra-fast highway hubs - across several European countries. In Denmark it has won numerous municipal and national road-authority tenders and uses Spirii's platform to manage its chargers.

There are 259 PowerGo 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 PowerGo 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 PowerGo dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
40494d8...	PowerGo Charging Station	56.140496	10.204841	8000	48 Dalgas Avenue, Aarhus, 8000, Denmark
4fb6400...	PowerGo Charging Station	56.149875	10.135958	8220	29 Louisevej, Aarhus, 8220, Denmark
3794d83...	PowerGo Charging Station	56.170116	9.344341	7442	97 Gl Kongevej, Engesvang, 7442, Denmark
0143616...	PowerGo Charging Station	56.492210	10.053658	8930	50 Blommevej, 8930, Randers, Denmark
39aa473...	PowerGo Charging Station	56.876381	8.628416	7700	53 Skyumvej, Vilsund Vest, 7700, 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 PowerGo locations in Denmark is found in Region Hovedstaden (76 sites, equivalent to 3.92 PowerGo ev charging stations per 100,000 residents). This is followed by Region Midtjylland (71 sites; 5.14 per 100,000) and Region Sjælland (41 sites; 4.8 per 100,000). From a market-penetration perspective, Region Nordjylland has the highest brand density at 6.44 locations per 100,000 people (population: 590,000), making it the most saturated region for PowerGo in Denmark. By contrast, Region Syddanmark records only 2.66 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 PowerGo 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 PowerGo 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?

• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• 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).
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.

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 PowerGo dataset to identify underserved regions in Denmark for potential market expansion."
• "Analyze proximity between PowerGo locations and major highways, ring roads, or arterial transport corridors in Denmark."
• "Assess how effectively the current PowerGo network covers major commercial and residential hubs across Denmark."

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.