Mercadona Supermarket Locations Dataset – Portugal

Mercadona Supermarket Locations Dataset – PortugalQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Related Datasets Use Cases FAQ Analyze with AI Mercadona is a Spanish grocery giant that successfully entered the Portuguese market in 2019, with a rapidly expanding presence across Portugal. It is praised for its "Always Low Prices" policy and its high quality private label, Hacendado. There are 61 Mercadona Supermarkets as of 28 May 2026 in Portugal. This dataset is

Mercadona is a Spanish grocery giant that successfully entered the Portuguese market in 2019, with a rapidly expanding presence across Portugal. It is praised for its "Always Low Prices" policy and its high-quality private label, Hacendado.

There are 61 Mercadona Supermarkets as of 28 May 2026 in Portugal. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Mercadona locations, including full address details, administrative divisions, and precise WGS84 latitude/longitude coordinates - structured for GIS, retail analytics, mapping, and AI/RAG workflows.

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.

Data Quality Scorecard

Data Preview: Sample geospatial records from the Mercadona dataset in Portugal

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Mercadona locations in Portugal is found in Pop - Évora (160073 sites). This is followed by Porto (21 sites; 1.12 per 100,000) and Aveiro (9 sites; 1.22 per 100,000). From a market-penetration perspective, Aveiro has the highest brand density at 1.22 locations per 100,000 people (population: 735,000), making it the most saturated region for Mercadona in Portugal. By contrast, Faro records only 0.2 locations per 100,000 residents (population: 490,000), 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 Mercadona 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 Mercadona 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 [email protected].

Who uses this data?

• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse 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

Analyze this data with AI

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

• "Analyze this Mercadona dataset to identify underserved regions in Portugal for potential market expansion."
• "Identify fast-growing suburban areas in Portugal that currently have limited access to nearby supermarkets."
• "Identify the most central Mercadona locations in Portugal to serve as hubs for a last-mile delivery network."

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.