List of Galp Petrol Stations in Portugal: 723 Locations (CSV)
List of Galp Petrol Stations in Portugal: 723 Locations (CSV)
Galp is the national energy champion of Portugal, operating the country's most extensive network of service stations. It is a leader in integrated energy solutions, moving aggressively into solar and EV charging infrastructure.
As of 28 October 2026, Galp operates 723 petrol stations in Portugal, according to Geolocet. By region, Lisboa has 106 stations, Porto 100 and Setúbal 48. The CSV has 20 fields, including Phone (present in 83.3% of records), Website (80.1%) and Opening hours (84.2%).
Dataset Summary
- Dataset Coverage: 723 Galp 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)83%
- Web Address80%
- Opening Hours84%
- Popularity Score100%
- Fuel Type71%
Data Preview: Sample geospatial records from the Galp dataset in Portugal
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 25f4d2c... | Galp (Alto Verissimo) | 39.302673 | -9.319021 | 2520-000 | Alto Verissimo, 2520-000, Peniche, Po... |
| 12e71d4... | Galp | 38.058826 | -8.789838 | 7500-000 | 7500-000, Santiago do Cacém, Portugal |
| e691e44... | Galp (Algueirão-Mem Martins) | 38.786922 | -9.346146 | 2725-030 | Rua Coudel, Algueirão-Mem Martins, 27... |
| f7951d3... | Galp (Aveiro) | 40.660091 | -8.591238 | 3800-911 | Zona Industrial da Taboeira, Aveiro, ... |
| 5da2f9f... | Galp (Grândola) | 38.170821 | -8.556911 | 7570-298 | 64 Avenida António Inácio da Cruz, Gr... |
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 Galp locations in Portugal is found in Lisboa (106 sites, equivalent to 4.44 Galp petrol stations per 100,000 residents). This is followed by Porto (100 sites; 5.33 per 100,000) and Setúbal (48 sites; 5.23 per 100,000). From a market-penetration perspective, Guarda has the highest brand density at 15.99 locations per 100,000 people (population: 150,000), making it the most saturated region for Galp in Portugal. By contrast, Lisboa records only 4.44 locations per 100,000 residents (population: 2,385,000), 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 | Galp Locations | Population | Density per 100,000 |
|---|---|---|---|
| Lisboa | 106 | 2,385,000 | 4.44 |
| Porto | 100 | 1,870,000 | 5.33 |
| Setúbal | 48 | 915,000 | 5.23 |
| Braga | 42 | 885,000 | 4.73 |
| Aveiro | 39 | 735,000 | 5.3 |
| Santarém | 38 | 445,000 | 8.52 |
| Leiria | 37 | 480,000 | 7.68 |
| Coimbra | 36 | 425,000 | 8.39 |
| Viseu | 35 | 365,000 | 9.49 |
| Açores | 33 | 245,000 | 13.29 |
| Faro | 30 | 490,000 | 6.11 |
| Castelo Branco | 25 | 185,000 | 13.38 |
| Guarda | 24 | 150,000 | 15.99 |
| Vila Real | 22 | 190,000 | 11.28 |
| Évora | 22 | 160,000 | 13.74 |
| Viana Do Castelo | 19 | 240,000 | 7.82 |
| Beja | 18 | 150,000 | 11.87 |
| Madeira | 18 | 260,000 | 6.91 |
| Bragança | 16 | 125,000 | 12.41 |
| Portalegre | 15 | 110,000 | 13.61 |
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 Galp 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 Galp 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?
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- 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.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
Frequently Asked Questions
Q: How many Galp petrol stations are there in each Region of Portugal?
A: Lisboa has 106 Galp petrol stations (4.44 stores per 100,000 residents), Porto 100 (5.33 stores per 100,000 residents) and Setúbal 48 (5.23 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 99.9%, and the others are Street No (42.2%), Street (72.6%), City (94.3%), Wheelchair (88.1%), Phone (83.3%), Website (80.1%), Fuel Type (71.4%) and Opening hours (84.2%).
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 Galp dataset to identify underserved regions in Portugal for potential market expansion.""Identify high-income or high-density residential zones in Portugal that currently lack nearby Galp locations.""Assess how effectively the current Galp network covers major commercial and residential hubs across 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.