Nah&Frisch Supermarket Locations Dataset – Austria

Nah&Frisch Supermarket Locations Dataset – AustriaQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Nah&Frisch is an Austrian grocery cooperative that focuses on supplying small, independent local merchants, often in rural communities. It plays a vital role in maintaining local supply chains in villages across Austria. There are 207 Nah&Frisch Supermarkets as of 27 May 2026 in Austria. This dataset is

Nah&Frisch is an Austrian grocery cooperative that focuses on supplying small, independent local merchants, often in rural communities. It plays a vital role in maintaining local supply chains in villages across Austria.

There are 207 Nah&Frisch Supermarkets as of 27 May 2026 in Austria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Nah&Frisch 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 Nah&Frisch 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 Nah&Frisch locations in Austria is found in Niederösterreich (92 sites, equivalent to 5.33 Nah&Frisch supermarkets per 100,000 residents). This is followed by Steiermark (41 sites; 3.23 per 100,000) and Oberösterreich (37 sites; 2.41 per 100,000). From a market-penetration perspective, Burgenland has the highest brand density at 7.0 locations per 100,000 people (population: 300,000), making it the most saturated region for Nah&Frisch in Austria. By contrast, Wien records only 0.1 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 Nah&Frisch 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 Nah&Frisch 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?

• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
• 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.
• 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.
• Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.

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 Nah&Frisch dataset to identify underserved regions in Austria for potential market expansion."
• "Identify regions in Austria where Nah&Frisch has a disproportionately strong or weak presence relative to population density."
• "Identify municipalities in Austria with strong demographic potential but no nearby Nah&Frisch presence."

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.