Tesco Supermarket Locations Dataset – Hungary

Tesco Supermarket Locations Dataset – HungaryQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Tesco is a dominant international retailer in Hungary, providing a comprehensive shopping experience through its hypermarkets and online delivery services. It is particularly noted for its wide variety of international brands and its long standing presence in the Hungarian market. There are 253 Tesco

Tesco is a dominant international retailer in Hungary, providing a comprehensive shopping experience through its hypermarkets and online delivery services. It is particularly noted for its wide variety of international brands and its long-standing presence in the Hungarian market.

There are 253 Tesco Supermarkets as of 29 May 2026 in Hungary. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Tesco 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 Tesco dataset in Hungary

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.

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of Tesco locations in Hungary is found in Közép-Magyarország (91 sites, equivalent to 3.01 Tesco supermarkets per 100,000 residents). This is followed by Nyugat-Dunántúl (35 sites; 3.61 per 100,000) and Dél-Alföld (28 sites; 2.37 per 100,000). From a market-penetration perspective, Nyugat-Dunántúl has the highest brand density at 3.61 locations per 100,000 people (population: 970,000), making it the most saturated region for Tesco in Hungary. By contrast, Észak-Alföld records only 1.73 locations per 100,000 residents (population: 1,390,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Hungary

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Hungary: Map these Tesco locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Hungary: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Tesco locations.
• Explore demographics data insights for Hungary: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Hungary (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.
• Income distribution and socio-economic patterns in Hungary - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
• Explore a rich library of Hungary-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 Hungary

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.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• 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

Analyze this data with AI

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

• "Analyze this Tesco dataset to identify underserved regions in Hungary for potential market expansion."
• "Identify regions in Hungary where Tesco has a disproportionately strong or weak presence relative to population density."
• "Measure average inter-store distance between Tesco locations across different regions of Hungary."

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.