Lidl Supermarket Locations Dataset – Portugal
Lidl Supermarket Locations Dataset – Portugal
Lidl Portugal is a dominant discount supermarket chain known for its efficiency and popular themed weeks featuring international products. It maintains a strong commitment to Portuguese producers, with a significant portion of its fresh goods sourced locally.
There are 286 Lidl Supermarkets as of 28 May 2026 in Portugal. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Lidl 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: 286 Lidl supermarkets 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 May 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
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)98%
- Web Address98%
- Opening Hours98%
- Popularity Score100%
Data Preview: Sample geospatial records from the Lidl dataset in Portugal
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 2b7350a... | Lidl (Póvoa de Varzim) | 41.395071 | -8.765916 | 4495-301 | 38 Avenida Engenheiro Ezequiel de Cam... |
| e111d6d... | Lidl (Amora) | 38.630678 | -9.118978 | 2845-606 | Avenida Baía Natural do Seixal, Amora... |
| c9495f4... | Lidl (Loulé) | 37.092694 | -8.041479 | 8135-016 | Avenida 5 de Outubro, Loulé, 8135-016... |
| 2c5708b... | Lidl (Loures) | 38.826377 | -9.165232 | 2670-583 | 1 Rua Professor Egas Moniz, Loures, 2... |
| e947fe3... | Lidl (Setúbal) | 38.521624 | -8.872833 | 2910-421 | 38 Avenida Bela Vista, Setúbal, 2910-... |
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 May 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 Lidl locations in Portugal is found in Pop - Évora (160073 sites). This is followed by Pop - Bragança (128949 sites) and Lisboa (64 sites; 2.68 per 100,000). From a market-penetration perspective, Beja has the highest brand density at 4.0 locations per 100,000 people (population: 150,000), making it the most saturated region for Lidl in Portugal. By contrast, Vila Real records only 1.05 locations per 100,000 residents (population: 190,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Related geospatial datasets
- Administrative boundaries and full polygon dataset for Portugal: Map these Lidl 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 Lidl 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?
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
Frequently Asked Questions
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known Lidl locations operating in Portugal as of 28 May 2026.
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: Are the datasets suitable for machine learning workflows?
A: Yes. The structured tabular format and standardized coordinates make the datasets suitable for machine learning and predictive analytics applications.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Lidl dataset to identify underserved regions in Portugal for potential market expansion.""Identify the most central Lidl locations in Portugal to serve as hubs for a last-mile delivery network.""Analyze which Lidl locations in Portugal are positioned in highly competitive retail zones versus standalone markets."
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.