Q8 Petrol Station Locations Dataset – Spain

Q8 Petrol Station Locations Dataset – Spain

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Q8 maintains a limited presence in Spain through selected manned and automated stations operated by Kuwait Petroleum España.

There are 121 Q8 Petrol Stations as of 6 July 2026 in Spain. 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: 121 Q8 petrol stations in Spain
  • 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: 6 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.

Map showing the geographical distribution of Q8 locations in Spain

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Admin_level_1
  • Admin_level_2
  • Commune
  • Autonomous community
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Fuel Type
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)55%
  • Web Address64%
  • Opening Hours68%

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

ID Location Title Latitude Longitude Postal Code Full Address
1bd540d... Q8 (San José de la Rinconada) 37.482092 -5.917134 41300 Km 7 A-3104, San José de la Rinconada...
fe952e2... Q8 38.263827 -3.143723 23260 Km. 53 A-312, 23260, Jaén, Spain
a92097a... Mercedes Saras Energy petrol station (Alcalá la Real) 37.467581 -3.927782 23680 8 Carretera de Jaén, Alcalá la Real, ...
30d3180... Q8 (Segovia) 40.965993 -4.098553 40196 Km 189 N-110, Segovia, 40196, Segovia...
0b1dddf... Q8 (Murcia) 37.952423 -1.249050 30835 1 Calle Rio Ebro, Murcia, 30835, Murc...

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 6 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 Spain is found in Andalucía (35 sites). This is followed by Catalunya (31 sites) and Comunitat Valenciana (12 sites).

Learn more about the brand network in our report: View Report

Also available for Spain

Brand bundle

Top 16 Petrol Stations Brands in Spain - €400

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 Spain - 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 →

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?

  • Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • 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.

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: Can I use this dataset for competitor benchmarking?

A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.

Q: Is this dataset useful for franchise analysis?

A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.

Q: Can this dataset be used for academic or research purposes?

A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.

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 Spain for potential market expansion."
  • "Identify fast-growing suburban areas in Spain that currently have limited access to nearby petrol stations."
  • "Create a prioritized shortlist of expansion zones in Spain based on distance gaps between existing Q8 locations."

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.