BIPA Supermarket Locations Dataset – Austria

BIPA Supermarket Locations Dataset – AustriaQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI BIPA is an Austrian drugstore chain owned by the REWE Group, offering cosmetics, perfumes, and household goods. While primarily a drugstore, it is a key retail player located alongside traditional grocery chains. There are 543 BIPA Supermarkets as of 27 May 2026 in Austria. This dataset is compiled and

BIPA is an Austrian drugstore chain owned by the REWE Group, offering cosmetics, perfumes, and household goods. While primarily a drugstore, it is a key retail player located alongside traditional grocery chains.

There are 543 BIPA Supermarkets as of 27 May 2026 in Austria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all BIPA 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 BIPA 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 BIPA locations in Austria is found in Wien (141 sites, equivalent to 6.96 BIPA supermarkets per 100,000 residents). This is followed by Niederösterreich (118 sites; 6.84 per 100,000) and Oberösterreich (72 sites; 4.69 per 100,000). From a market-penetration perspective, Wien has the highest brand density at 6.96 locations per 100,000 people (population: 2,025,000), making it the most saturated region for BIPA in Austria. By contrast, Vorarlberg records only 4.39 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 BIPA 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 BIPA 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?

• 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.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• 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.

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 BIPA dataset to identify underserved regions in Austria for potential market expansion."
• "Analyze the clustering behavior of BIPA locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."
• "Assess how effectively the current BIPA network covers major commercial and residential hubs across 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.