List of Lidl Supermarkets in Hungary: 226 Locations (CSV)
List of Lidl Supermarkets in Hungary: 226 Locations (CSV)
Lidl is a leading discount supermarket chain in Hungary, offering a mix of fresh produce, baked goods, and specialized international food weeks. It is frequently cited as one of the most trusted retail brands by Hungarian consumers.
As of 8 October 2026, Lidl operates 226 supermarkets in Hungary, according to Geolocet. The Hungarian Lidl dataset is a CSV file with 17 fields, including Latitude, Longitude, Address and Opening hours (present in 97.8% of records). The Municipalities with the most Lidl supermarkets are Budapest (47), Győr (6) and Debrecen (5).
Dataset Summary
- Dataset Coverage: 226 Lidl 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: 8 October 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)96%
- Web Address97%
- Opening Hours98%
- Popularity Score100%
Data Preview: Sample geospatial records from the Lidl dataset in Hungary
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| bf599f1... | Lidl (XV. kerület) | 47.541282 | 19.150790 | 1156 | 36. 36 XV. Erdőkerülő utca, Budapest,... |
| c1fc08f... | Lidl (XXI. kerület) | 47.435145 | 19.075197 | 1215 | 58 Ady Endre út, Budapest, 1215, Hungary |
| 19b3162... | Lidl (Szeghalom) | 47.016096 | 21.166138 | 5520 | 45-49 Széchenyi utca, Szeghalom, 5520... |
| 32b3ed1... | Lidl (VIII. kerület) | 47.485982 | 19.077332 | 1082 | 23 Leonardo da Vinci utca, Budapest, ... |
| dd4b26a... | Lidl (Budaörs) | 47.450975 | 18.961094 | 2040 | 145 Károly király utca, Budaörs, 2040... |
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 8 October 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 Lidl locations in Hungary is found in Közép-Magyarország (79 sites, equivalent to 2.61 Lidl supermarkets per 100,000 residents). This is followed by Közép-Dunántúl (28 sites; 2.66 per 100,000) and Észak-Alföld (28 sites; 2.01 per 100,000). From a market-penetration perspective, Dél-Dunántúl has the highest brand density at 2.96 locations per 100,000 people (population: 845,000), making it the most saturated region for Lidl in Hungary. By contrast, Észak-Magyarország records only 1.68 locations per 100,000 residents (population: 1,070,000), indicating a potential white-space opportunity for network expansion or competitor analysis. This granular regional data helps analysts understand specific market density, localized brand presence, and population-adjusted coverage across Hungary.
| Region | Lidl Locations | Population | Density per 100,000 |
|---|---|---|---|
| Közép-Magyarország | 79 | 3,020,000 | 2.61 |
| Közép-Dunántúl | 28 | 1,050,000 | 2.66 |
| Észak-Alföld | 28 | 1,390,000 | 2.01 |
| Dél-Alföld | 27 | 1,180,000 | 2.28 |
| Dél-Dunántúl | 25 | 845,000 | 2.96 |
| Nyugat-Dunántúl | 21 | 970,000 | 2.15 |
| Észak-Magyarország | 18 | 1,070,000 | 1.68 |
Geolocet is a store location data provider. See also our POI datasets.
Also available for Hungary
Brand bundle
Top 8 Supermarket Brands in Hungary: 3,374 Locations
All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.
View the Top 8 Supermarket Brands dataset →Full market coverage
Hungary Supermarket POI Dataset: 12,465 Locations
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 the Hungary Supermarket POI dataset →Related geospatial datasets
- Administrative boundaries and full polygon dataset for Hungary: Map these Lidl 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 Lidl 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 contact@geolocet.com.
Who uses this data?
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
- Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
- 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.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
Frequently Asked Questions
Q: How many Lidl supermarkets are there in each Region of Hungary?
A: The three Regions with the most Lidl supermarkets are Közép-Magyarország with 79 (2.61 stores per 100,000 residents), Közép-Dunántúl with 28 (2.66 stores per 100,000 residents) and Észak-Alföld with 28 (2.01 stores per 100,000 residents).
Q: Which fields does the dataset include, and how complete are they?
A: The dataset has 17 fields. GUID, Title, Latitude, Longitude, City, Municipality, Region, Population, Postal Code, Address and Popularity Score are present in 100% of records; Street No is present in 98.2%, Street in 98.7%, Wheelchair in 99.1%, Phone in 96.5%, Website in 96.9% and Opening hours in 97.8%.
Q: When was the data last updated?
A: The Lidl dataset was last updated on 8 October 2026.
Q: Under which licence can I use the data?
A: The licence is set out in the Geolocet terms of use (https://geolocet.com/pages/terms-of-use), which apply to this Lidl dataset.
Q: In which format is the data delivered?
A: The data is delivered as a CSV file.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Lidl dataset to identify underserved regions in Hungary for potential market expansion.""Identify fast-growing suburban areas in Hungary that currently have limited access to nearby supermarkets.""Identify regions in Hungary where Lidl has a disproportionately strong or weak presence relative to population density."
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.