List of Repsol Petrol Stations in Portugal: 524 Locations (CSV)
List of Repsol Petrol Stations in Portugal: 524 Locations (CSV)
Repsol has a massive presence in Portugal, offering a high standard of service and a wide network of stations. It is known for its strong multi-energy strategy and its popular loyalty programs tied to Spanish and Portuguese retail.
As of 28 October 2026, Repsol operates 524 petrol stations in Portugal, according to Geolocet. By region, Lisboa has 73 stations, Porto 67 and Setúbal 38. The CSV has 20 fields, including Phone (present in 80.2% of records), Website (90.3%) and Opening hours (91.2%).
Dataset Summary
- Dataset Coverage: 524 Repsol petrol stations in Portugal
- 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: 28 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.
Dataset fields included in the CSV:
- GUID
- Title
- Latitude
- Longitude
- Street No
- Street
- City
- Admin_level_1
- Admin_level_2
- Civil parish (Freguesia)
- 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)80%
- Web Address90%
- Opening Hours91%
- Popularity Score100%
- Fuel Type66%
Data Preview: Sample geospatial records from the Repsol dataset in Portugal
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| a18d37c... | Repsol (São Mamede de Infesta) | 41.196580 | -8.610769 | 4465-151 | 622 Rua Godinho de Faria, São Mamede ... |
| 8b3d386... | Repsol (Montijo) | 38.711958 | -8.966023 | 2870-000 | Avenida Olivença, Montijo, 2870-000, ... |
| 72a39f5... | Repsol (Vila Nova de Gaia) | 41.084256 | -8.618624 | 4405-906 | Vila Nova de Gaia, 4405-906, Vila Nov... |
| 91e73d4... | Repsol (Carrazeda de Ansiães) | 41.245593 | -7.301616 | 5140-000 | Rua Luís de Camões, Carrazeda de Ansi... |
| 84053b2... | Repsol (Vila Praia de Âncora) | 41.810533 | -8.858794 | 4910-000 | Rua 31 de Janeiro, Vila Praia de Ânco... |
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 28 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 Repsol locations in Portugal is found in Lisboa (73 sites, equivalent to 3.06 Repsol petrol stations per 100,000 residents). This is followed by Porto (67 sites; 3.57 per 100,000) and Setúbal (38 sites; 4.14 per 100,000). From a market-penetration perspective, Açores has the highest brand density at 12.89 locations per 100,000 people (population: 245,000), making it the most saturated region for Repsol in Portugal. By contrast, Braga records only 2.59 locations per 100,000 residents (population: 885,000), 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 Portugal.
| Region | Repsol Locations | Population | Density per 100,000 |
|---|---|---|---|
| Lisboa | 73 | 2,385,000 | 3.06 |
| Porto | 67 | 1,870,000 | 3.57 |
| Setúbal | 38 | 915,000 | 4.14 |
| Aveiro | 37 | 735,000 | 5.03 |
| Leiria | 34 | 480,000 | 7.06 |
| Açores | 32 | 245,000 | 12.89 |
| Faro | 32 | 490,000 | 6.52 |
| Santarém | 32 | 445,000 | 7.17 |
| Viseu | 28 | 365,000 | 7.59 |
| Madeira | 25 | 260,000 | 9.6 |
| Braga | 23 | 885,000 | 2.59 |
| Coimbra | 15 | 425,000 | 3.5 |
| Guarda | 14 | 150,000 | 9.33 |
| Viana Do Castelo | 14 | 240,000 | 5.77 |
| Évora | 14 | 160,000 | 8.75 |
| Castelo Branco | 12 | 185,000 | 6.42 |
| Vila Real | 12 | 190,000 | 6.15 |
| Beja | 9 | 150,000 | 5.94 |
| Portalegre | 7 | 110,000 | 6.35 |
| Bragança | 6 | 125,000 | 4.65 |
Geolocet is a store location data provider. See also our POI datasets.
Also available for Portugal
Brand bundle
Top 6 Petrol Station Brands in Portugal: 2,354 Locations
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View the Top 6 Petrol Station Brands dataset →Full market coverage
Portugal Petrol Station POI Dataset: 4,507 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 Portugal Petrol Station POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Portugal: Map these Repsol locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Portugal: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Repsol locations.
- Explore demographics data insights for Portugal: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
- Income indicators dataset for Portugal (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 Portugal-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 Portugal
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?
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
Frequently Asked Questions
Q: How many Repsol petrol stations are there in each Region of Portugal?
A: Lisboa has 73 Repsol petrol stations (3.06 stores per 100,000 residents), Porto 67 (3.57 stores per 100,000 residents) and Setúbal 38 (4.14 stores per 100,000 residents).
Q: Which fields does the dataset include, and how complete are they?
A: The dataset has 20 fields. Present in 100% of records: GUID, Title, Latitude, Longitude, Civil parish (Freguesia), Region, Population, Postal Code, Address and Popularity Score; Admin_level_1 and Admin_level_2 are at 99.8%, and the others are Street No (41.4%), Street (76.7%), City (95.6%), Wheelchair (91.6%), Phone (80.2%), Website (90.3%), Fuel Type (66.4%) and Opening hours (91.2%).
Q: When was the data last updated?
A: The data was last updated on 28 October 2026.
Q: Under which licence can I use the data?
A: The data can be used under the Geolocet terms of use: https://geolocet.com/pages/terms-of-use.
Q: In which format is the data delivered?
A: The data is delivered as a CSV file.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Repsol dataset to identify underserved regions in Portugal for potential market expansion.""Analyze the relationship between Repsol site distribution and regional economic activity across Portugal.""Identify potential regional logistics bottlenecks caused by uneven geographic distribution of Repsol locations in Portugal."
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.