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Description
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 Summary
- Dataset Coverage: 71 Polyfazer ev charging stations in Romania
- Contents: Coordinates, addresses, postal codes, and administrative divisions
- 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: 2 June 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
- Municipality
- County
- Population
- Postal Code
- Address
Require additional attributes such as charging points, charger types, or charging speed? Contact us to request a custom data enrichment.
Data Preview: Sample geospatial records from the Polyfazer dataset in Romania
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| fa0b84b... | Polyfazer Charging Station | 47.654111 | 23.515224 | 430071 | Bulevardul Independenței, Baia Mare, ... |
| 6eb92ba... | Polyfazer Charging Station | 44.940578 | 26.022538 | 100062 | 1 Bulevardul Republicii, Ploiești, 10... |
| a17c0ef... | Polyfazer Charging Station | 46.379784 | 25.826282 | 530203 | 147 Strada Szék, Miercurea Ciuc, 5302... |
| 6ab8008... | Polyfazer Charging Station | 46.671673 | 28.082087 | 735100 | 75 Calea Basarabiei, Huși, 735100, Mu... |
| 8bea80c... | Polyfazer Charging Station | 44.473442 | 26.055016 | 012244 | 54A Strada Aviator Popișteanu, Bucure... |
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 2 June 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 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
Brand bundle
Top 15 EV Charging Stations Brands in Romania - €240
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 EV Charging Stations Locations in Romania - 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 →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
Q: Can this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
Q: How recent is this dataset?
A: This dataset was last updated on 2 June 2026 and is periodically refreshed through automated collection and validation workflows.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Q: How accurate are the coordinates?
A: Coordinates undergo automated validation and manual quality review processes to improve positional accuracy and analytical reliability.
Q: Can this dataset be imported into Power BI or Tableau?
A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms.
Q: Can I use this dataset in GIS software?
A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
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.
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