Intermarche Supermarket Locations Dataset – Portugal
Intermarche Supermarket Locations Dataset – Portugal
Intermarché is part of the "Os Mosqueteiros" group and operates in Portugal through a network of independent entrepreneurs. It emphasizes regional sourcing and offers a personalized shopping experience tailored to local communities.
There are 260 Intermarche Supermarkets as of 28 May 2026 in Portugal. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Intermarche 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: 260 Intermarche 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)97%
- Web Address95%
- Opening Hours97%
- Popularity Score100%
Data Preview: Sample geospatial records from the Intermarche dataset in Portugal
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| f8c2675... | Intermarché (Ferreira do Zêzere) | 39.695237 | -8.302232 | 2240-368 | Rua Da Matana, Ferreira do Zêzere, 22... |
| c36bebc... | Intermarché (Mirandela) | 41.483142 | -7.195383 | 5370-562 | Rua Vale de Cerdeira, Mirandela, 5370... |
| bc8deee... | Intermarché | 40.979238 | -8.575080 | 4535-356 | Rua Santa Maria, 4535-356, Santa Mari... |
| bd4feed... | Intermarché (Cabeceiras de Basto) | 41.511717 | -7.997963 | 4860-370 | Avenida Dom Manuel I, Cabeceiras de B... |
| 6d3754d... | Intermarché (Guimarães) | 41.487115 | -8.350697 | 4800-091 | apartado 4108 Rua Banda de Música, Gu... |
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 Intermarche locations in Portugal is found in Pop - Évora (160073 sites). This is followed by Pop - Bragança (128949 sites) and Faro (31 sites; 6.33 per 100,000). From a market-penetration perspective, Guarda has the highest brand density at 8.0 locations per 100,000 people (population: 150,000), making it the most saturated region for Intermarche in Portugal. By contrast, Lisboa records only 0.92 locations per 100,000 residents (population: 2,385,000), 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 Intermarche 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 Intermarche 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?
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- 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.
- 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.
Frequently Asked Questions
Q: How accurate are the coordinates?
A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.
Q: Can I request custom enrichment fields?
A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Can this dataset be used for academic or research purposes?
A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.
Q: How recent is this dataset?
A: This dataset was last updated on 28 May 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Can I use this dataset in GIS software?
A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.
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 Intermarche dataset to identify underserved regions in Portugal for potential market expansion.""Assess how effectively the current Intermarche network covers major commercial and residential hubs across Portugal.""Identify the most central Intermarche 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.