List of Q8 Petrol Stations in Denmark: 131 Locations (CSV)

List of Q8 Petrol Stations in Denmark: 131 Locations (CSV)

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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.

As of 27 October 2026, Q8 operates 131 petrol stations in Denmark, according to Geolocet. The CSV file has 18 fields, including Phone (present in 82.4% of records), Website (77.9%) and Opening hours (75.6%).

Dataset Summary

  • Dataset Coverage: 131 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: 27 October 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.

Map showing the geographical distribution of Q8 locations in Denmark

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)82%
  • Web Address78%
  • Opening Hours76%
  • Popularity Score100%
  • Fuel Type66%

Data Preview: Sample geospatial records from the Q8 dataset in Denmark

ID Location Title Latitude Longitude Postal Code Full Address
a4c6485... Q8 (Hjørring) 57.450046 9.995380 9800 82 Bispensgade, Hjørring, 9800, Denmark
966265c... Q8 (Holstebro) 56.348981 8.626757 7500 75 Herningvej, Holstebro, 7500, Denmark
985e861... IDS (Låsby) 56.149261 9.767471 8670 242B Silkeborgmotorvejen, Låsby, 8670...
93752d2... Q8 (Kolding) 55.526157 9.464026 6000 355 Vejlevej, Kolding, 6000, Denmark
1ceeaba... Q8 (Charlottenlund) 55.753971 12.572415 2920 1-3 Fredensvej, Charlottenlund, 2920,...

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 27 October 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 Midtjylland (33 sites; 2.39 per 100,000) and Region Syddanmark (33 sites; 2.65 per 100,000). From a market-penetration perspective, Region Syddanmark has the highest brand density at 2.65 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. This granular regional data helps analysts understand specific market density, localized brand presence, and population-adjusted coverage across Denmark.

Region Q8 Locations Population Density per 100,000
Region Hovedstaden 42 1,940,000 2.16
Region Midtjylland 33 1,380,000 2.39
Region Syddanmark 33 1,240,000 2.65
Region Nordjylland 13 590,000 2.19
Region Sjælland 10 855,000 1.17

Geolocet is a store location data provider. See also our POI datasets.

Also available for Denmark

Brand bundle

Top 10 Petrol Station Brands in Denmark: 2,425 Locations

All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.

View the Top 10 Petrol Station Brands dataset →

Full market coverage

Denmark Petrol Station POI Dataset: 2,933 Locations

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 the Denmark Petrol Station POI dataset →

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: How many Q8 petrol stations are there in each Region of Denmark?

A: Q8 has 42 petrol stations in Region Hovedstaden, 33 in Region Midtjylland, 33 in Region Syddanmark, 13 in Region Nordjylland and 10 in Region Sjælland. Stores per 100,000 residents: 2.16 in Region Hovedstaden, 2.39 in Region Midtjylland, 2.65 in Region Syddanmark, 2.19 in Region Nordjylland and 1.17 in Region Sjælland.

Q: Which fields does the dataset include, and how complete are they?

A: The dataset has 18 fields, and GUID, Title, Latitude, Longitude, Kommune, Region, Population, Postal Code, Address and Popularity Score are each present in 100% of records. Street No is present in 96.9% of records, Street in 98.5%, City in 99.2%, Wheelchair in 32.1%, Phone in 82.4%, Website in 77.9%, Fuel Type in 65.6% and Opening hours in 75.6%.

Q: When was the data last updated?

A: Geolocet last updated this Q8 dataset on 27 October 2026.

Q: Under which licence can I use the data?

A: The Geolocet terms of use at https://geolocet.com/pages/terms-of-use set out how you can use this Q8 dataset.

Q: In which format is the data delivered?

A: The Danish Q8 petrol station data is delivered as a CSV file with 18 fields.

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.