SPAR Supermarket Locations Dataset – Austria

SPAR Supermarket Locations Dataset – AustriaQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI SPAR Austria is a highly successful, independent branch of the global SPAR network, operating primarily as neighborhood supermarkets. It holds a significant market share in the Austrian retail grocery sector with a focus on local sourcing. There are 1,235 SPAR Supermarkets as of 27 May 2026 in Austria. This

SPAR Austria is a highly successful, independent branch of the global SPAR network, operating primarily as neighborhood supermarkets. It holds a significant market share in the Austrian retail grocery sector with a focus on local sourcing.

There are 1,235 SPAR Supermarkets as of 27 May 2026 in Austria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all SPAR 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 SPAR dataset in Austria

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Regional Distribution Breakdown

Looking at the geographic distribution, the highest concentration of SPAR locations in Austria is found in Steiermark (220 sites, equivalent to 17.32 SPAR supermarkets per 100,000 residents). This is followed by Niederösterreich (209 sites; 12.12 per 100,000) and Oberösterreich (198 sites; 12.9 per 100,000). From a market-penetration perspective, Vorarlberg has the highest brand density at 21.46 locations per 100,000 people (population: 410,000), making it the most saturated region for SPAR in Austria. By contrast, Wien records only 7.51 locations per 100,000 residents (population: 2,025,000), 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 SPAR 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 SPAR 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?

• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• 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.
• 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.
• 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.

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 SPAR dataset to identify underserved regions in Austria for potential market expansion."
• "Compare the spatial distribution of SPAR locations against major competitor clusters to identify overlap and whitespace opportunities in Austria."
• "Assess how effectively the current SPAR 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.