Lidl Supermarket Locations Dataset – Denmark

Lidl Denmark is a major international discount chain that has significantly grown its market share through a focus on private labels and fresh produce. It is known for its efficient store layouts and competitive pricing on both Danish and international goods.

There are 172 Lidl Supermarkets as of 28 May 2026 in Denmark. 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 Preview: Sample geospatial records from the Lidl dataset in Denmark

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
2c9ba18...	Lidl (Vallensbæk)	55.652562	12.368514	2625	10 Blomsterengen, Vallensbæk, 2625, D...
7d50639...	Lidl (Odense C)	55.414862	10.367236	5000	1A Thorslundsvej, Odense, 5000, Denmark
a3f7aea...	Lidl (Silkeborg)	56.185877	9.547900	8600	49 Nørrevænget, Silkeborg, 8600, Denmark
847113e...	Lidl (Hillerød)	55.942291	12.260086	3400	154 Frederiksværksgade, Hillerød, 340...
b7dca60...	Lidl (Marielyst)	54.704218	11.966774	4873	5B Stovby Ringvej, Væggerløse, 4873, ...

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 Denmark is found in Region Hovedstaden (58 sites, equivalent to 2.99 Lidl supermarkets per 100,000 residents). This is followed by Region Midtjylland (35 sites; 2.54 per 100,000) and Region Syddanmark (31 sites; 2.5 per 100,000). From a market-penetration perspective, Region Sjælland has the highest brand density at 3.39 locations per 100,000 people (population: 855,000), making it the most saturated region for Lidl in Denmark. By contrast, Region Syddanmark records only 2.5 locations per 100,000 residents (population: 1,240,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Denmark

Related geospatial datasets

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

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?

• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• 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.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• 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.

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 Denmark for potential market expansion."
• "Rank the top-performing urban areas in Denmark for future Lidl expansion based on existing location density and regional population."
• "Create a prioritized shortlist of expansion zones in Denmark based on distance gaps between existing Lidl locations."

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.