SKU: 91040114406

Ahorramas Supermarket Locations Dataset – Spain

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Description

Ahorramas Supermarket Locations Dataset – SpainQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Ahorramas is a prominent Spanish supermarket chain headquartered in Madrid, specializing in high quality fresh products and neighborhood proximity. It operates hundreds of stores primarily across the Community of Madrid and Castilla La Mancha. There are 308 Ahorramas Supermarkets as of 30 May 2026 in Spain.

Ahorramas is a prominent Spanish supermarket chain headquartered in Madrid, specializing in high-quality fresh products and neighborhood proximity. It operates hundreds of stores primarily across the Community of Madrid and Castilla-La Mancha.

There are 308 Ahorramas Supermarkets as of 30 May 2026 in Spain. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Ahorramas 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: 308 Ahorramas 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)92%
  • Web Address93%
  • Opening Hours94%
  • Popularity Score100%

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

ID Location Title Latitude Longitude Postal Code Full Address
4524e47... Ahorramas (Madrid) 40.207151 -3.877018 28979 1 Calle de los Magnolios, Madrid, 289...
7a16b67... Ahorramas (Torrejón de Ardoz) 40.457171 -3.477524 28850 17 Calle Calderas, Torrejón de Ardoz,...
a6190f0... Ahorramas (Toledo) 39.873759 -4.037838 45005 4 Avenida de Portugal, Toledo, 45005,...
8c0dbcb... Ahorramas (Alcalá de Henares) 40.486334 -3.354419 28804 18 Avenida Juan de Austria, Alcalá de...
b5bef78... Ahorramas (Ciudad Lineal) 40.429658 -3.644463 28017 60 II Calle de Ezequiel Solana, Madri...

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 Ahorramas locations in Spain is found in Comunidad De Madrid (258 sites). This is followed by Castilla-La Mancha (47 sites) and Castilla Y León (2 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?

  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
  • Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
  • Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
  • 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.
  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.

Frequently Asked Questions

Q: Can this dataset be used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

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 phone numbers and websites included?

A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.

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

A: The dataset is designed to provide a complete and standardized list of known Ahorramas 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: Does the dataset include opening hours?

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

Q: Can I use this dataset for proximity analysis?

A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.

Q: Can I combine this dataset with administrative boundaries?

A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.

Analyze this data with AI

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

  • "Analyze this Ahorramas dataset to identify underserved regions in Spain for potential market expansion."
  • "Detect clusters where Ahorramas sites are in close proximity to analyze potential self-cannibalization in Spain."
  • "Assess how effectively the current Ahorramas network covers major commercial and residential hubs across 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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