PPC Blue EV Charging Station Locations Dataset – Romania

PPC Blue EV Charging Station Locations Dataset – RomaniaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI PPC Blue is the electric mobility division of PPC Group, a major European energy company, in Romania. It operates one of the country's largest EV charging networks, spanning all Romanian counties, and focuses on fast and hyper fast charging infrastructure for residential customers, corporate clients, and public

PPC Blue is the electric mobility division of PPC Group, a major European energy company, in Romania. It operates one of the country's largest EV charging networks, spanning all Romanian counties, and focuses on fast and hyper-fast charging infrastructure for residential customers, corporate clients, and public institutions. PPC Blue is actively expanding along key transport corridors and at major destinations such as airports, retail parks, and business districts.

There are 315 PPC Blue 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 PPC Blue 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 PPC Blue 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 PPC Blue locations in Romania is found in Ilfov (46 sites, equivalent to 7.67 PPC Blue ev charging stations per 100,000 residents). This is followed by București (34 sites; 1.99 per 100,000) and Constanța (30 sites; 4.58 per 100,000). From a market-penetration perspective, Ilfov has the highest brand density at 7.67 locations per 100,000 people (population: 600,000), making it the most saturated region for PPC Blue in Romania. By contrast, Dolj records only 0.34 locations per 100,000 residents (population: 595,000), 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 PPC Blue 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 PPC Blue 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?

• Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• 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.
• Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
• Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial 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 PPC Blue dataset to identify underserved regions in Romania for potential market expansion."
• "Analyze which PPC Blue locations in Romania are positioned in highly competitive retail zones versus standalone markets."
• "Analyze proximity between PPC Blue locations and major highways, ring roads, or arterial transport corridors in Romania."

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.