Pay in installments of $4.17 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 2 - Aug 7
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
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 Summary
- Dataset Coverage: 251 PENNY supermarkets in Hungary
- 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: 29 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
- Municipality
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Contact Details (Phone)95%
- Web Address96%
- Opening Hours98%
- Popularity Score100%
Data Preview: Sample geospatial records from the PENNY dataset in Hungary
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 2728a3c... | PENNY (Budapest) | 47.557744 | 19.099638 | 1042 | 20 Rózsa utca, Budapest, 1042, Hungary |
| 9693e7f... | PENNY (Alsónémedi) | 47.347764 | 19.158047 | 2351 | 2 Penny utca, Alsónémedi, 2351, Hungary |
| 87c4d91... | PENNY (Vésztő) | 46.929946 | 21.266736 | 5530 | 27 Kossuth Lajos utca, Vésztő, 5530, ... |
| a5ae6a7... | PENNY (Tura) | 47.616764 | 19.577416 | 2194 | 45 Galgahévízi út, Tura, 2194, Hungary |
| e657ec9... | PENNY (XVIII. kerület) | 47.433427 | 19.202268 | 1182 | 661 Üllői út, Budapest, 1182, 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.
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 29 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 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
Brand bundle
Top 8 Grocery Brands in Hungary - €175
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 Hungary - 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 →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
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known PENNY locations operating in Hungary as of 29 May 2026.
Q: Can this data be combined with demographics datasets?
A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.
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: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
Q: Can I integrate this dataset into a PostgreSQL/PostGIS database?
A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical 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 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.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy