Spain Petrol Stations Locations Dataset – Top 16 Petrol Station Brands

Spain Petrol Stations Locations Dataset – Top 16 Petrol Station Brands

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Top 16 Petrol Station Chains Across Spain: Premium Multi-Brand Location Dataset

Unlock a complete, ready-to-use dataset featuring the leading Petrol Station brands in Spain. This expertly compiled Top Brands dataset consolidates all major Petrol Station chains in Spain, delivering a clean, standardised and analysis-ready collection of 8,225 locations. Perfect for businesses seeking high-quality data for market sizing, competitive landscape analysis, network optimisation, and strategic planning.

Last updated: 6 July 2026.

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

Brand distribution

  • Alcampo – 60 locations in Spain
  • AS 24 – 80 locations in Spain
  • AVIA – 115 locations in Spain
  • Ballenoil – 393 locations in Spain
  • BonÀrea – 78 locations in Spain
  • bp – 774 locations in Spain
  • Carrefour – 151 locations in Spain
  • Disa – 145 locations in Spain
  • Galp – 564 locations in Spain
  • Moeve – 1,403 locations in Spain
  • Petroprix – 199 locations in Spain
  • Plenergy – 380 locations in Spain
  • Q8 – 121 locations in Spain
  • Repsol – 3,260 locations in Spain
  • Shell – 403 locations in Spain
  • tankpool24 – 99 locations in Spain

Petrol Stations distribution by Autonomous community

  • Andalucía: 1,484 petrol stations
  • Catalunya: 970 petrol stations
  • Comunitat Valenciana: 894 petrol stations
  • Comunidad De Madrid: 810 petrol stations
  • Castilla Y León: 651 petrol stations
  • Castilla-La Mancha: 560 petrol stations
  • Galicia: 520 petrol stations
  • Región De Murcia: 301 petrol stations
  • Extremadura: 291 petrol stations
  • Aragón: 278 petrol stations
  • Euskadi: 258 petrol stations
  • Illes Balears: 208 petrol stations
  • Asturias: 186 petrol stations
  • Cantabria: 143 petrol stations
  • Navarra - Nafarroa: 136 petrol stations
  • La Rioja: 65 petrol stations
  • Melilla: 11 petrol stations

Direct access after purchase of the complete locations dataset for Spain

Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

Evaluate the dataset before purchase

A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full 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.

Frequently Asked Questions

Q: Can this dataset be used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

Q: Can I use this dataset for proximity analysis?

A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.

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: How are addresses standardized?

A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.

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.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this this multi-brand dataset to identify underserved regions in Spain for potential market expansion."
  • "Analyze the clustering behavior of this multi-brand locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
  • "Analyze geographic gaps in the current this multi-brand network and identify underserved regions in Spain with strong expansion potential."