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Description
Lidl Supermarket Locations Dataset – SlovakiaQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Lidl is one of the most successful retail brands in Slovakia, recognized for its efficiency and high quality private labels. It frequently tops consumer surveys for being the most preferred supermarket in the country. There are 186 Lidl Supermarkets as of 30 May 2026 in Slovakia. This dataset is compiled and
Lidl is one of the most successful retail brands in Slovakia, recognized for its efficiency and high-quality private labels. It frequently tops consumer surveys for being the most preferred supermarket in the country.
There are 186 Lidl Supermarkets as of 30 May 2026 in Slovakia. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Lidl 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: 186 Lidl supermarkets in Slovakia
- 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
- Area
- City
- Admin_level_1
- Admin_level_2
- 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)97%
- Web Address98%
- Opening Hours97%
- Popularity Score100%
Data Preview: Sample geospatial records from the Lidl dataset in Slovakia
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 760f268... | Lidl (Teplička nad Váhom) | 49.218432 | 18.787342 | 013 01 | Železničná, 013 01, Žilina, Slovakia |
| e4a5dc5... | Lidl (Detva) | 48.538814 | 19.406542 | 962 12 | 3139/2D M. R. Štefánika, 962 12, Detv... |
| e5164cb... | Lidl (Košická Nová Ves) | 48.727630 | 21.293138 | 040 14 | 1980/58 Herlianska, Košice, 040 14, K... |
| c3c5665... | Lidl (Hlohovec) | 48.424630 | 17.807667 | 920 01 | 3677/92 Nitrianska, 920 01, Hlohovec,... |
| 0e9015f... | Lidl (Myjava) | 48.747584 | 17.567072 | 907 01 | 1300/8 Viestova, 907 01, Myjava, Slov... |
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 Lidl locations in Slovakia is found in Bratislavský Kraj (31 sites, equivalent to 4.03 Lidl supermarkets per 100,000 residents). This is followed by Žilinský Kraj (27 sites; 3.97 per 100,000) and Trenčiansky Kraj (24 sites; 4.25 per 100,000). From a market-penetration perspective, Trenčiansky Kraj has the highest brand density at 4.25 locations per 100,000 people (population: 565,000), making it the most saturated region for Lidl in Slovakia. By contrast, Nitriansky Kraj records only 2.81 locations per 100,000 residents (population: 675,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Also available for Slovakia
Brand bundle
Top 8 Grocery Brands in Slovakia - €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 Slovakia - 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 Slovakia: Map these Lidl locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Slovakia: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Lidl locations.
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?
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- 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.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
Frequently Asked Questions
Q: Does the dataset include unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Q: Does the dataset contain duplicate locations?
A: Duplicate detection and validation workflows are applied during processing to improve consistency and reduce redundant records.
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: How recent is this dataset?
A: This dataset was last updated on 30 May 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Can I use this dataset for competitor benchmarking?
A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.
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.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
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 Slovakia for potential market expansion.""Identify locations where multiple Lidl sites compete within overlapping catchment areas in Slovakia.""Identify strategic locations in Slovakia where new Lidl sites could maximize geographic coverage while minimizing overlap."
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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