SKU: 20331561375

Consum Supermarket Locations Dataset – Spain

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Description

Consum Supermarket Locations Dataset – SpainQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Consum is a major Spanish retail cooperative headquartered in Valencia, owned by its workers and consumers. It is one of the largest companies in the Mediterranean region, emphasizing social responsibility and a high quality fresh food assortment. There are 601 Consum Supermarkets as of 30 May 2026 in Spain.

Consum is a major Spanish retail cooperative headquartered in Valencia, owned by its workers and consumers. It is one of the largest companies in the Mediterranean region, emphasizing social responsibility and a high-quality fresh food assortment.

There are 601 Consum Supermarkets as of 30 May 2026 in Spain. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Consum 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: 601 Consum supermarkets in Spain
  • 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: 30 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
  • Commune
  • Autonomous community
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)85%
  • Web Address86%
  • Opening Hours88%
  • Popularity Score100%

Data Preview: Sample geospatial records from the Consum dataset in Spain

ID Location Title Latitude Longitude Postal Code Full Address
6cc44c8... Consum (Sant Quirze del Vallès) 41.533438 2.079296 08192 60 Carrer Pompeu Fabra, Sant Quirze d...
c657c81... Consum (Villena) 38.638794 -0.868668 03400 7 Calle del Cap. Postigo, Villena, 03...
1f97a2e... Consum (Castelló de la Plana) 39.977647 -0.046265 12006 48 Avinguda de València, Castelló de ...
2551e0b... Consum (Quatre Carreres) 39.459135 -0.366531 46006 14 Carrer del Bisbe Jaume Pérez, Valè...
10646b6... Consum (Alcoi) 38.700117 -0.479744 03803 17 Paseo de la Alameda, Alcoi, 03803,...

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 30 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 Consum locations in Spain is found in Comunitat Valenciana (350 sites). This is followed by Catalunya (151 sites) and Región De Murcia (39 sites).

Learn more about the brand network in our report: View Report

Also available for Spain

Brand bundle

Top 25 Grocery Brands in Spain - €490

All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.

View Top Brands dataset →

Full market coverage

All Grocery Locations in Spain - complete POI dataset

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 full POI dataset →

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?

  • Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
  • Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
  • Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.

Frequently Asked Questions

Q: Are postal codes included for all locations?

A: Postal codes are included wherever available and validated as part of the standardization workflow.

Q: Does the dataset include opening hours?

A: Yes, opening hours are included where publicly available and validated during the data standardization process.

Q: Does the dataset include all locations in the country?

A: The dataset is designed to provide a complete and standardized list of known Consum locations operating in Spain as of 30 May 2026.

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: Can I preview the dataset before purchasing?

A: Yes. A free sample is available so you can evaluate the structure, fields, and geospatial quality before purchase.

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: Does the dataset include administrative regions?

A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.

Q: Can I request the data in GeoJSON or Shapefile format?

A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.

Analyze this data with AI

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

  • "Analyze this Consum dataset to identify underserved regions in Spain for potential market expansion."
  • "Identify high-income or high-density residential zones in Spain that currently lack nearby Consum locations."
  • "Compare the spatial distribution of Consum locations against major competitor clusters to identify overlap and whitespace opportunities in Spain."

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.

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SKU: 20331561375

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Size: Large, Color: Dark Navy, Size: Large, Color: Dark Navy
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John Doe
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