AVIA Petrol Station Locations Dataset – Germany

AVIA Petrol Station Locations Dataset – Germany

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AVIA Germany is an association of medium-sized, independent energy companies operating a vast network of service stations under a shared international brand. It emphasizes regional roots and provides a full range of energy products including heating oil and lubricants.

There are 897 AVIA Petrol Stations as of 7 July 2026 in Germany. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all AVIA 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: 897 AVIA petrol stations in Germany
  • 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: 7 July 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.

Map showing the geographical distribution of AVIA locations in Germany

Dataset fields included in the CSV:

  • GUID
  • Title
  • Group
  • Latitude
  • Longitude
  • Street No
  • Street
  • Area
  • City
  • Admin_level_1
  • Admin_level_2
  • Gemainde
  • Federal State
  • Population
  • Postal Code
  • Address
  • Wheelchair
  • Popularity Score
  • Phone
  • Website
  • Fuel Type
  • Opening hours

Data Quality Scorecard

  • Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
  • Contact Details (Phone)93%
  • Web Address95%
  • Opening Hours96%
  • Popularity Score100%

Data Preview: Sample geospatial records from the AVIA dataset in Germany

ID Location Title Latitude Longitude Postal Code Full Address
002b6c9... AVIA (Lindern (Oldenburg)) 52.842613 7.776321 49699 6 Lienersche Straße, Lindern (Oldenbu...
638bc65... AVIA Xpress (Geroldsau) 48.724420 8.246492 76534 4 Malschbacher Straße, Baden-Baden, 7...
df45e70... AVIA (Ummeln) 51.967192 8.459348 33649 338 Gütersloher Straße, Bielefeld, 33...
2d0b25a... AVIA Xpress (Bad Wildbad) 48.741869 8.547999 75323 127 Kernerstraße, Bad Wildbad, 75323,...
78abd6e... AVIA Automatenstation (Ost) 54.128079 12.154310 18147 5 Am Liepengraben, Rostock, 18147, Ge...

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 7 July 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 AVIA locations in Germany is found in Bayern (312 sites, equivalent to 2.36 AVIA petrol stations per 100,000 residents). This is followed by Baden-Württemberg (206 sites; 1.84 per 100,000) and Nordrhein-Westfalen (139 sites; 0.77 per 100,000). From a market-penetration perspective, Bayern has the highest brand density at 2.36 locations per 100,000 people (population: 13,230,000), making it the most saturated region for AVIA in Germany. By contrast, Sachsen-Anhalt records only 0.05 locations per 100,000 residents (population: 2,175,000), 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 Germany

Brand bundle

Top 16 Petrol Stations Brands in Germany - €480

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 Petrol Stations Locations in Germany - 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 contact@geolocet.com.

Who uses this data?

  • Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
  • Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
  • Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
  • CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
  • Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
  • Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
  • Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
  • Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.

Frequently Asked Questions

Q: Is this dataset useful for franchise analysis?

A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking.

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: Does the dataset include unique identifiers?

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

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: Can this data be combined with demographics datasets?

A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.

Q: Can I request the data in GeoJSON or Shapefile format?

A: Yes. Alternative delivery formats such as GeoJSON, Shapefile, Excel, and PostgreSQL imports are available upon request.

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: How accurate are the coordinates?

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

Analyze this data with AI

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

  • "Analyze this AVIA dataset to identify underserved regions in Germany for potential market expansion."
  • "Compare the spatial distribution of AVIA locations against major competitor clusters to identify overlap and whitespace opportunities in Germany."
  • "Identify the most central AVIA locations in Germany to serve as hubs for a last-mile delivery network."

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.