Q8 Petrol Station Locations Dataset – Denmark
Q8 Petrol Station Locations Dataset – Denmark
Q8 Danmark is a prominent fuel retailer operated by Kuwait Petroleum, providing full-service stations alongside its automated F24 brand. It is known for its "Q8 Smile" loyalty program and its partnerships with convenience concepts like 7-Eleven.
There are 123 Q8 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 Q8 locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.
Dataset Summary
- Dataset Coverage: 123 Q8 petrol stations in Denmark
- Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
- File Format: Fully geocoded CSV dataset (UTF-8)
- Free Sample: Instantly accessible dataset to verify structure and data quality
- Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
- Last Updated: 8 July 2026
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.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Kommune
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Fuel Type
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)85%
- Web Address83%
- Opening Hours80%
- Popularity Score100%
Data Preview: Sample geospatial records from the Q8 dataset in Denmark
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| f9b4676... | Q8 (Roskilde) | 55.641714 | 12.110327 | 4000 | 86-88 Københavnsvej, Roskilde, 4000, ... |
| d1dcd28... | Q8 (Aalborg SV) | 57.008551 | 9.884965 | 9200 | 404 Hobrovej, Aalborg, 9200, Denmark |
| 78e239e... | Q8 (Horsens) | 55.837713 | 9.814031 | 8700 | 145 Vejlevej, Horsens, 8700, Denmark |
| 0f1ed6f... | Q8 (Nørre Aaby) | 55.468940 | 9.895049 | 5580 | 1 Assensvej, Nørre Aaby, 5580, Denmark |
| c05c746... | Q8 (Bagsværd) | 55.757943 | 12.447082 | 2880 | 55 Vadstrupvej, Bagsværd, 2880, 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.
Why download from Geolocet?
- Instant download - full dataset available immediately after purchase, no waiting, no manual fulfilment
- Free sample first - verify structure, fields, and coordinate precision before you commit
- Analysis-ready CSV - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
- Regularly updated - last updated 8 July 2026
✅ Data looks right? Add to cart ↑ - or download the free sample first.
Regional Distribution Breakdown
Looking at the geographic distribution, the highest concentration of Q8 locations in Denmark is found in Region Hovedstaden (42 sites, equivalent to 2.16 Q8 petrol stations per 100,000 residents). This is followed by Region Syddanmark (30 sites; 2.42 per 100,000) and Region Midtjylland (28 sites; 2.03 per 100,000). From a market-penetration perspective, Region Syddanmark has the highest brand density at 2.42 locations per 100,000 people (population: 1,240,000), making it the most saturated region for Q8 in Denmark. By contrast, Region Sjælland records only 1.17 locations per 100,000 residents (population: 855,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Also available for Denmark
Brand bundle
Top 10 Petrol Stations Brands in Denmark - €264
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View Top Brands dataset →Full market coverage
All Petrol Stations Locations in Denmark - complete POI dataset
Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.
View full POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Denmark: Map these Q8 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 Q8 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?
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- 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.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
Frequently Asked Questions
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
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: What file format is included with the download?
A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.
Q: Can this dataset support expansion planning?
A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.
Q: Can I integrate this dataset into a PostgreSQL/PostGIS database?
A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
Q: Is this dataset useful for franchise analysis?
A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Q8 dataset to identify underserved regions in Denmark for potential market expansion.""Create a prioritized shortlist of expansion zones in Denmark based on distance gaps between existing Q8 locations.""Identify isolated Q8 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.