INTERSPAR Supermarket Locations Dataset – Austria

INTERSPAR Supermarket Locations Dataset – AustriaQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI INTERSPAR represents the hypermarket division of the SPAR Austria group, offering the widest assortment of food and non food goods. It serves as a one stop shop destination for Austrian consumers with large scale shopping needs. There are 75 INTERSPAR Supermarkets as of 27 May 2026 in Austria. This dataset is

INTERSPAR represents the hypermarket division of the SPAR Austria group, offering the widest assortment of food and non-food goods. It serves as a one-stop-shop destination for Austrian consumers with large-scale shopping needs.

There are 75 INTERSPAR Supermarkets as of 27 May 2026 in Austria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all INTERSPAR 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 INTERSPAR 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 INTERSPAR locations in Austria is found in Wien (17 sites, equivalent to 0.84 INTERSPAR supermarkets per 100,000 residents). This is followed by Niederösterreich (13 sites; 0.75 per 100,000) and Steiermark (10 sites; 0.79 per 100,000). From a market-penetration perspective, Vorarlberg has the highest brand density at 1.46 locations per 100,000 people (population: 410,000), making it the most saturated region for INTERSPAR in Austria. By contrast, Oberösterreich records only 0.52 locations per 100,000 residents (population: 1,535,000), 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 INTERSPAR 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 INTERSPAR 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?

• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• 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 INTERSPAR dataset to identify underserved regions in Austria for potential market expansion."
• "Identify isolated INTERSPAR sites in Austria that may face operational inefficiencies due to low regional clustering."
• "Using this INTERSPAR data, find high-traffic retail corridors in Austria with low supermarkets density for competitive positioning."

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.