Galp Petrol Station Locations Dataset – Spain
Galp Petrol Station Locations Dataset – Spain
Galp is a Portuguese multinational with a significant presence in Spain, offering fuels, lubricants, and Tangerina convenience service
There are 564 Galp 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 Galp 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: 564 Galp 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.
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)84%
- Web Address84%
- Opening Hours85%
- Popularity Score100%
Data Preview: Sample geospatial records from the Galp dataset in Spain
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 678daad... | Galp (Arcos de Jalón) | 41.217070 | -2.291227 | 42250 | A-2, Arcos de Jalón, 42250, Soria, Spain |
| 68fe875... | Galp (Andorra) | 40.974025 | -0.436458 | 44500 | 1 Avenida Alcorisa, Andorra, 44500, T... |
| 0fe6ea8... | Galp (La Coruña) | 43.436375 | -7.987568 | 15325 | PK. 16 AC-564, La Coruña, 15325, La C... |
| 14e1150... | Galp (Santander) | 43.464881 | -3.833927 | 39012 | 30 Calle Repuente, Santander, 39012, ... |
| e9c6d1d... | Galp (Ciempozuelos) | 40.165272 | -3.635886 | 28350 | Pk 39 M-404, Ciempozuelos, 28350, Mad... |
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 Galp locations in Spain is found in Catalunya (97 sites). This is followed by Comunitat Valenciana (87 sites) and Andalucía (70 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 →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Spain: Map these Galp locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Spain: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Galp locations.
- Explore demographics data insights for Spain: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Spain (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.
- Explore a rich library of Spain-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 Spain
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?
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- 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.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- 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.
Frequently Asked Questions
Q: Can this dataset be imported into Power BI or Tableau?
A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.
Q: How recent is this dataset?
A: This dataset was last updated on 6 July 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Can I use this dataset in GIS software?
A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.
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.
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 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: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Galp dataset to identify underserved regions in Spain for potential market expansion.""Identify regions in Spain where Galp has a disproportionately strong or weak presence relative to population density.""Identify municipalities in Spain with strong demographic potential but no nearby Galp presence."
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.