BILLA Supermarket Locations Dataset – Austria

BILLA Supermarket Locations Dataset – AustriaQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI BILLA is a major Austrian supermarket chain operating as a subsidiary of the German REWE Group. It is one of the most prominent grocery retailers in Austria, offering a wide range of food and everyday products. There are 1,279 BILLA Supermarkets as of 27 May 2026 in Austria. This dataset is compiled and

BILLA is a major Austrian supermarket chain operating as a subsidiary of the German REWE Group. It is one of the most prominent grocery retailers in Austria, offering a wide range of food and everyday products.

There are 1,279 BILLA Supermarkets as of 27 May 2026 in Austria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all BILLA 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 BILLA dataset in Austria

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 BILLA locations in Austria is found in Wien (334 sites, equivalent to 16.49 BILLA supermarkets per 100,000 residents). This is followed by Niederösterreich (308 sites; 17.86 per 100,000) and Steiermark (170 sites; 13.39 per 100,000). From a market-penetration perspective, Kärnten has the highest brand density at 18.42 locations per 100,000 people (population: 570,000), making it the most saturated region for BILLA in Austria. By contrast, Vorarlberg records only 0.49 locations per 100,000 residents (population: 410,000), 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 Austria

Related geospatial datasets

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

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?

• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.

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 BILLA dataset to identify underserved regions in Austria for potential market expansion."
• "Using this BILLA data, find high-traffic retail corridors in Austria with low supermarkets density for competitive positioning."
• "Identify potential regional logistics bottlenecks caused by uneven geographic distribution of BILLA locations in Austria."

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.