Lidl Supermarket Locations Dataset – Germany

Lidl is one of Germany’s most successful discount supermarket chains and a major competitor to ALDI. Part of the Schwarz Gruppe, it is known for its high-speed checkout, fresh produce, and "Lidl Plus" loyalty app.

There are 3,322 Lidl Supermarkets as of 27 May 2026 in Germany. 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 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 Lidl dataset in Germany

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
b3db2bb...	Lidl (Altenmarkt)	49.202547	12.661234	93413	4 Rodinger Straße, Cham, 93413, Oberp...
a6f1d4c...	Lidl (Denkendorf)	48.702466	9.310817	73770	2 Albstraße, Denkendorf, 73770, Stutt...
be657d8...	Lidl (Holzminden)	51.834470	9.459872	37603	38 Allersheimer Straße, Holzminden, 3...
99fcd76...	Lidl (Harsewinkel)	51.965498	8.244129	33428	40 Berliner Ring, Harsewinkel, 33428,...
4f4cc56...	Lidl (Bad Salzungen)	50.811713	10.226243	36433	25 Rhönstraße, Bad Salzungen, 36433, ...

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 Lidl locations in Germany is found in Nordrhein-Westfalen (719 sites, equivalent to 4.0 Lidl supermarkets per 100,000 residents). This is followed by Bayern (488 sites; 3.69 per 100,000) and Baden-Württemberg (450 sites; 4.03 per 100,000). From a market-penetration perspective, Mecklenburg-Vorpommern has the highest brand density at 5.14 locations per 100,000 people (population: 1,615,000), making it the most saturated region for Lidl in Germany. By contrast, Thüringen records only 3.07 locations per 100,000 residents (population: 2,115,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Learn more about the brand network in our report: View Report

Also available for Germany

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Germany: Map these Lidl locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Germany: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Lidl locations.
• Explore demographics data insights for Germany: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Germany (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.
• Explore a rich library of Germany-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 Germany

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?

• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.

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 Lidl dataset to identify underserved regions in Germany for potential market expansion."
• "Identify the most central Lidl locations in Germany to serve as hubs for a last-mile delivery network."
• "Cross-reference these supermarkets with urban transit data to score each location's accessibility for non-driving customers."

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.