SKU: 93948602483

Lidl Supermarket Locations Dataset – Germany

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Description

Lidl Supermarket Locations Dataset – GermanyQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Lidl is one of Germanys 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

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 Summary

  • Dataset Coverage: 3,322 Lidl supermarkets in Germany
  • 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: 27 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
  • Gemainde
  • Federal State
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)99%
  • Web Address97%
  • Opening Hours99%
  • Popularity Score100%

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.

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 27 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 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

Brand bundle

Top 27 Grocery Brands in Germany - €480

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 Germany - 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 →

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?

  • 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

Q: Can this dataset support territory optimization?

A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.

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: Does the dataset include unique identifiers?

A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.

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.

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SKU: 93948602483

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