PENNY Supermarket Locations Dataset – Hungary

PENNY Supermarket Locations Dataset – HungaryQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI PENNY is a popular discount chain in Hungary that offers a budget friendly assortment of everyday groceries and fresh items. It focuses on proximity, with many stores located in residential areas to serve local neighborhoods effectively. There are 251 PENNY Supermarkets as of 29 May 2026 in Hungary. This

PENNY is a popular discount chain in Hungary that offers a budget-friendly assortment of everyday groceries and fresh items. It focuses on proximity, with many stores located in residential areas to serve local neighborhoods effectively.

There are 251 PENNY Supermarkets as of 29 May 2026 in Hungary. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all PENNY 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 PENNY 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 PENNY locations in Hungary is found in Közép-Magyarország (62 sites, equivalent to 2.05 PENNY supermarkets per 100,000 residents). This is followed by Észak-Alföld (44 sites; 3.17 per 100,000) and Dél-Alföld (33 sites; 2.8 per 100,000). From a market-penetration perspective, Dél-Dunántúl has the highest brand density at 3.31 locations per 100,000 people (population: 845,000), making it the most saturated region for PENNY in Hungary. By contrast, Közép-Magyarország records only 2.05 locations per 100,000 residents (population: 3,020,000), 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 PENNY 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 PENNY 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?

• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• 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.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.

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 PENNY dataset to identify underserved regions in Hungary for potential market expansion."
• "Analyze the relationship between PENNY site distribution and regional economic activity across Hungary."
• "Assess the accessibility of PENNY locations in Hungary based on proximity to population centers and public infrastructure."

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.