All Supermarket Locations in Austria: Complete Geographic Dataset

All Supermarket Locations in Austria: Complete Geographic Dataset

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All Supermarkets locations in Austria - complete national dataset

This dataset contains a complete, geocoded collection of Supermarkets in Austria, including branded chains and independent locations. It provides a complete national coverage with 9,934 verified locations suitable for territory planning, market sizing and spatial analysis.

Last updated: 27 May 2026.

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

Brand distribution

  • ADEG – 249 locations in Austria
  • BILLA – 1,279 locations in Austria
  • BIPA – 543 locations in Austria
  • Denns – 27 locations in Austria
  • EUROSPAR – 238 locations in Austria
  • HOFER – 524 locations in Austria
  • INTERSPAR – 75 locations in Austria
  • Lidl – 250 locations in Austria
  • MPREIS – 249 locations in Austria
  • Nah&Frisch – 207 locations in Austria
  • NORMA – 23 locations in Austria
  • PENNY – 300 locations in Austria
  • SPAR – 1,235 locations in Austria
  • UNIMARKT – 92 locations in Austria

Supermarkets distribution by Region

  • Burgenland: 374 supermarkets
  • Kärnten: 725 supermarkets
  • Niederösterreich: 2,004 supermarkets
  • Oberösterreich: 1,545 supermarkets
  • Salzburg: 600 supermarkets
  • Steiermark: 1,421 supermarkets
  • Tirol: 1,009 supermarkets
  • Vorarlberg: 496 supermarkets
  • Wien: 1,759 supermarkets

Direct access after purchase of the complete locations dataset for Austria

Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.

Evaluate the dataset before purchase

A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full 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 contact@geolocet.com.

Frequently Asked Questions

Q: Are postal codes included for all locations?

A: Postal codes are included wherever available and validated as part of the standardization workflow.

Q: Is the dataset standardized for analytics workflows?

A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.

Q: Can this dataset be used for logistics planning?

A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.

Q: How accurate are the coordinates?

A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.

Q: What file format is included with the download?

A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.

Q: Is this dataset useful for accessibility studies?

A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.

Q: Does the dataset include latitude and longitude coordinates?

A: Yes. Each location record includes precise WGS84 latitude and longitude coordinates for geospatial analysis and mapping workflows.

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.

Analyze this data with AI

Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:

  • "Analyze this this multi-brand dataset to identify underserved regions in Austria for potential market expansion."
  • "Create a regional ranking of this multi-brand coverage efficiency using population-to-store ratios across Austria."
  • "Identify municipalities in Austria with strong demographic potential but no nearby this multi-brand presence."