PENNY Supermarket Locations Dataset – Austria

PENNY is a discount supermarket chain operating in Austria under the umbrella of the REWE Group. It offers a budget-friendly shopping option with a strong emphasis on fresh produce, meat, and private label items.

There are 300 PENNY Supermarkets as of 27 May 2026 in Austria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all PENNY 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 PENNY dataset in Austria

ID	Location Title	Latitude	Longitude	Postal Code	Full Address
07fa713...	PENNY (Gratkorn)	47.137025	15.329066	8101	23 Brucker Straße, Gratkorn, 8101, Gr...
0fd55c5...	PENNY (Traiskirchen)	47.983787	16.302531	2512	114 Ebreichsdorfer Straße, Traiskirch...
dfab903...	PENNY (Eisenerz)	47.545666	14.881916	8790	22 Hieflauer Straße, Eisenerz, 8790, ...
9dec15b...	PENNY (Oberpullendorf)	47.503226	16.508172	7350	73 Eisenstädter Straße, Oberpullendor...
072109a...	PENNY (Leopoldstadt)	48.223930	16.405916	1020	13-14 Mexikoplatz, Wien, 1020, Wien, ...

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 PENNY locations in Austria is found in Niederösterreich (96 sites, equivalent to 5.57 PENNY supermarkets per 100,000 residents). This is followed by Wien (62 sites; 3.06 per 100,000) and Oberösterreich (46 sites; 3.0 per 100,000). From a market-penetration perspective, Burgenland has the highest brand density at 6.33 locations per 100,000 people (population: 300,000), making it the most saturated region for PENNY in Austria. By contrast, Tirol records only 0.13 locations per 100,000 residents (population: 775,000), 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 PENNY 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 PENNY 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 contact@geolocet.com.

Who uses this data?

• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• 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.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• 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.
• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.

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 PENNY dataset to identify underserved regions in Austria for potential market expansion."
• "Identify high-income or high-density residential zones in Austria that currently lack nearby PENNY locations."
• "Analyze the relationship between PENNY site distribution and regional economic activity 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.