OK EV Charging Station Locations Dataset – Denmark

OK a.m.b.a. is a Danish consumer-owned cooperative that sells fuel, heating oil and other energy products through filling stations across Denmark. It has expanded into EV charging, installing fast and ultra-fast chargers at many of its stations alongside roaming access to partner networks via its app.

There are 921 OK 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 OK 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 OK dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
0835b41...	OK (Skive)	56.644796	8.983926	7800	26 Kåstrupvej, Skive, 7800, Denmark
6bbef4c...	OK (Støvring)	56.879065	9.807586	9530	30 Juelstrupparken, Støvring, 9530, D...
b06144c...	OK (Nykøbing Falster)	54.764039	11.873088	4800	4 Højbrogade, Nykøbing Falster, 4800,...
dc92e2a...	OK (Ikast)	56.148683	9.138946	7430	31 Hagelskærvej, Ikast, 7430, Denmark
230a672...	OK (Hørning)	56.091446	10.048286	8362	17 Nydamsvej, Hørning, 8362, 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 OK locations in Denmark is found in Region Syddanmark (271 sites, equivalent to 21.85 OK ev charging stations per 100,000 residents). This is followed by Region Hovedstaden (216 sites; 11.13 per 100,000) and Region Midtjylland (165 sites; 11.96 per 100,000). From a market-penetration perspective, Region Syddanmark has the highest brand density at 21.85 locations per 100,000 people (population: 1,240,000), making it the most saturated region for OK in Denmark. By contrast, Region Hovedstaden records only 11.13 locations per 100,000 residents (population: 1,940,000), 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 OK 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 OK 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.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• 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.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.

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 OK dataset to identify underserved regions in Denmark for potential market expansion."
• "Generate regional density heatmaps showing where OK has the strongest and weakest retail presence in Denmark."
• "Compare the spatial distribution of OK locations against major competitor clusters to identify overlap and whitespace opportunities in 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.