Plugpoint EV Charging Station Locations Dataset – Romania

Plugpoint EV Charging Station Locations Dataset – RomaniaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Plugpoint is a Romanian company that both manufactures and operates EV charging stations, keeping costs low by producing its hardware domestically. Its stations are aluminium built for durability and resistance to impact and high temperatures, and are managed through a dedicated mobile app offering real time data, remote

Plugpoint is a Romanian company that both manufactures and operates EV charging stations, keeping costs low by producing its hardware domestically. Its stations are aluminium-built for durability and resistance to impact and high temperatures, and are managed through a dedicated mobile app offering real-time data, remote control, and easy payment.

There are 244 Plugpoint 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 Plugpoint 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 Plugpoint 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 Plugpoint locations in Romania is found in Brașov (31 sites, equivalent to 5.54 Plugpoint ev charging stations per 100,000 residents). This is followed by Mureș (16 sites; 3.11 per 100,000) and Sibiu (15 sites; 3.85 per 100,000). From a market-penetration perspective, Brașov has the highest brand density at 5.54 locations per 100,000 people (population: 560,000), making it the most saturated region for Plugpoint in Romania. By contrast, Bacău records only 0.17 locations per 100,000 residents (population: 590,000), 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 Plugpoint 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 Plugpoint 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?

• CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.

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 Plugpoint dataset to identify underserved regions in Romania for potential market expansion."
• "Identify regions in Romania where Plugpoint has a disproportionately strong or weak presence relative to population density."
• "Compare the spatial distribution of Plugpoint locations against major competitor clusters to identify overlap and whitespace opportunities 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.