Disa Petrol Station Locations Dataset – Spain

Disa Petrol Station Locations Dataset – Spain

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DISA is a prominent Spanish energy company and the largest fuel operator in the Canary Islands. It also operates a wide network on the Spanish mainland and is the licensee for the Shell retail brand in Spain.

There are 145 Disa 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 Disa 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: 145 Disa 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 Disa 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)85%
  • Web Address81%
  • Opening Hours86%
  • Popularity Score100%

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

ID Location Title Latitude Longitude Postal Code Full Address
d5227c0... Disa (Santa Brígida) 28.044756 -15.475320 35300 31 Carretera Monte Lentiscal Plaza Do...
c4adc41... Disa (Las Palmas de Gran Canaria) 28.133479 -15.429920 35007 365 Calle León y Castillo, Las Palmas...
96cfe44... Disa (Santa Cruz de Tenerife) 28.441940 -16.281370 38110 12 Calle Jesús Hernández Guzmán, Sant...
637810e... Disa (Arrecife) 28.979696 -13.535790 35500 Arrecife, 35500, Las Palmas, Spain
c864f3b... Disa (Granadilla) 28.116233 -16.576720 38600 32 Avenida Fundador Gonzalo González,...

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.

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?

  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
  • 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.
  • 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.
  • 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: Can this data be combined with demographics datasets?

A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.

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.

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 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: Does the dataset include accessibility-related attributes?

A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.

Analyze this data with AI

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

  • "Analyze this Disa dataset to identify underserved regions in Spain for potential market expansion."
  • "Compare the spatial distribution of Disa locations against major competitor clusters to identify overlap and whitespace opportunities in Spain."
  • "Using this Disa data, find high-traffic retail corridors in Spain with low petrol stations density for competitive positioning."

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.