Lidl Supermarket Locations Dataset – Bulgaria

Lidl Bulgaria has expanded rapidly since its entry in 2010, becoming one of the most popular discount retailers in the nation. Also owned by the Schwarz Gruppe, it focuses on high-quality private labels and its digital 'Lidl Plus' loyalty platform.

There are 145 Lidl Supermarkets as of 27 August 2026 in Bulgaria. 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 Bulgaria

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
a995bd2...	Lidl	42.504491	24.171620	4500	58 Boulevard "Pyatigorsk", Panagyuris...
db62b16...	Lidl	42.674894	26.323286	8801	37 булевард „Цар Симеон“, Sliven, 880...
980c5eb...	Lidl	42.527128	27.454163	8008	207 ж.к. Изгрев, Burgas, 8008, Bulgaria
cdcf07c...	Lidl	42.565493	27.623312	8200	102а ул. Княз Борис I, Pomorie, 8200,...
08471ce...	Lidl	43.435442	28.326988	9650	1 улица „Марица", Kavarna, 9650, Bulg...

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 Bulgaria is found in София-Град (42 sites, equivalent to 3.24 Lidl supermarkets per 100,000 residents). This is followed by Бургас (14 sites; 3.64 per 100,000) and Пловдив (14 sites; 2.2 per 100,000). From a market-penetration perspective, Бургас has the highest brand density at 3.64 locations per 100,000 people (population: 385,000), making it the most saturated region for Lidl in Bulgaria. By contrast, Кърджали records only 0.69 locations per 100,000 residents (population: 145,000), 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 Bulgaria

Related geospatial datasets

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

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?

• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.

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 Bulgaria for potential market expansion."
• "Evaluate how evenly Lidl locations are distributed across provinces, districts, or municipalities in Bulgaria."
• "Create a regional ranking of Lidl coverage efficiency using population-to-store ratios across Bulgaria."

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.