SKU: 57576690914

PENNY Supermarket Locations Dataset – Austria

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Description

PENNY Supermarket Locations Dataset – AustriaQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI 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

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 Summary

  • Dataset Coverage: 300 PENNY supermarkets in Austria
  • Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores
  • File Format: Fully geocoded CSV dataset (UTF-8)
  • Free Sample: Instantly accessible dataset to verify structure and data quality
  • Use Cases: Suitable for GIS, retail analytics, site selection, and AI/RAG workflows
  • Last Updated: 27 May 2026

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.

Dataset fields included in the CSV:

  • GUID
  • Title
  • Latitude
  • Longitude
  • Street No
  • Street
  • City
  • Admin_level_1
  • Admin_level_2
  • Gemeinde
  • Region
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)98%
  • Web Address99%
  • Opening Hours99%
  • Popularity Score100%

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.

Why download from Geolocet?

  • Instant download - full dataset available immediately after purchase, no waiting, no manual fulfilment
  • Free sample first - verify structure, fields, and coordinate precision before you commit
  • Analysis-ready CSV - clean, standardised, and compatible with Excel, Python, QGIS, Power BI, and PostgreSQL out of the box
  • Regularly updated - last updated 27 May 2026

✅ Data looks right? Add to cart ↑ - or download the free sample first.

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

Brand bundle

Top 14 Grocery Brands in Austria - €300

All major chains in one standardised dataset. Best for competitive benchmarking, network analysis, and market sizing across the leading brands.

View Top Brands dataset →

Full market coverage

All Grocery Locations in Austria - complete POI dataset

Includes everything in the brand bundle plus independent operators, smaller chains, and local businesses not covered by the top brands. Best for full market mapping, territory planning, and white-space analysis.

View full POI dataset →

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?

  • 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

Q: Can I combine this dataset with administrative boundaries?

A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.

Q: Is this dataset suitable for market analysis?

A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.

Q: Are phone numbers and websites included?

A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.

Q: Does the dataset include unique identifiers?

A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.

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.

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SKU: 57576690914

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