Polyfazer EV Charging Station Locations Dataset – Romania

Polyfazer EV Charging Station Locations Dataset – RomaniaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Polyfazer is a Romanian electric vehicle charging management platform launched in 2017 by Axionet, a technology company with over two decades of experience in public infrastructure and IoT. The platform covers the full charging lifecycle, including implementation, installation, and administration of AC and DC charging

Polyfazer is a Romanian electric vehicle charging management platform launched in 2017 by Axionet, a technology company with over two decades of experience in public infrastructure and IoT. The platform covers the full charging lifecycle, including implementation, installation, and administration of AC and DC charging stations for public institutions, businesses, and residential users.

There are 71 Polyfazer EV Charging Stations as of 2 June 2026 in Romania. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Polyfazer 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 Preview: Sample geospatial records from the Polyfazer dataset in Romania

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 Polyfazer locations in Romania is found in București (17 sites, equivalent to 1.0 Polyfazer ev charging stations per 100,000 residents). This is followed by Argeș (4 sites; 0.71 per 100,000) and Covasna (4 sites; 2.05 per 100,000). From a market-penetration perspective, Covasna has the highest brand density at 2.05 locations per 100,000 people (population: 195,000), making it the most saturated region for Polyfazer in Romania. By contrast, Iași records only 0.13 locations per 100,000 residents (population: 780,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Romania

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Romania: Map these Polyfazer locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Romania: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Polyfazer locations.

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?

• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
• 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.
• Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees.
• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.

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 Polyfazer dataset to identify underserved regions in Romania for potential market expansion."
• "Analyze the relationship between Polyfazer site distribution and regional economic activity across Romania."
• "Analyze the clustering behavior of Polyfazer locations to determine whether the network prioritizes convenience, coverage, or saturation strategies."

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.