OK Petrol Station Locations Dataset – Denmark

OK is a major Danish energy cooperative owned by customers and local co-operatives. It operates one of Denmark's largest networks of petrol stations and is a leader in diversifying into heating, electricity, and electric vehicle charging.

There are 792 OK Petrol Stations as of 8 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 Quality Scorecard

Data Preview: Sample geospatial records from the OK dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
49aa2f5...	OK (Slagelse)	55.407463	11.353686	4200	28 Jernbanegade, Slagelse, 4200, Denmark
f84a54c...	OK (Skårup Fyn)	55.090149	10.690514	5881	12 Skårup Stationsvej, Skårup Fyn, 58...
e458720...	OK (Hadsten)	56.326519	10.043828	8370	15 Søndergade, Hadsten, 8370, Denmark
32ec31b...	OK (Hundelev)	57.424997	9.844190	9480	669 Løkkensvej, Hundelev, 9480, Denmark
97ce648...	OK (Give)	55.844529	9.232134	7323	1 Fredensgade, Give, 7323, 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 (258 sites, equivalent to 20.81 OK petrol stations per 100,000 residents). This is followed by Region Midtjylland (212 sites; 15.36 per 100,000) and Region Sjælland (153 sites; 17.89 per 100,000). From a market-penetration perspective, Region Syddanmark has the highest brand density at 20.81 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 3.45 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?

• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.

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."
• "Identify high-income or high-density residential zones in Denmark that currently lack nearby OK locations."
• "Identify isolated OK sites in Denmark that may face operational inefficiencies due to low regional clustering."

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.