EV Spots EV Charging Station Locations Dataset – Romania
EV Spots EV Charging Station Locations Dataset – Romania
EV SPOTS is a Romanian EV charging network with a 100% Solar to Drive vision, aiming to accelerate the transition to clean energy by using solar power as its primary renewable energy source. Part of the VOLTA group of companies, EV SPOTS places its stations on national roads and in major cities, in locations near cafes, restaurants, and shopping centres, offering both slow and ultra-fast DC charging options.
There are 34 EV Spots 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 EV Spots 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: 34 EV Spots 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 EV Spots dataset in Romania
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 3ffd7bd... | EV Spots Charging Station | 45.169470 | 26.821066 | 120014 | 202 Bulevardul Unirii, Buzău, 120014,... |
| 87270cc... | EV Spots Charging Station | 44.909533 | 27.597564 | 815300 | E584, Însurăței, 815300, Oraș Însurăț... |
| 1a1fbe0... | EV SPOTS Charging Station | 46.982095 | 26.702244 | 617183 | DJ157I, Ruginoasa, 617183, Comuna Rug... |
| 01055eb... | EV Spots Charging Station | 47.160193 | 27.621036 | 700337 | 8 Strada Fântânilor, Iași, 700337, Mu... |
| ecda5ea... | EV Spots Charging Station | 44.200510 | 27.332528 | 910005 | 51 Strada Eroilor, Călărași, 910005, ... |
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 EV Spots locations in Romania is found in Neamț (6 sites, equivalent to 1.35 EV Spots ev charging stations per 100,000 residents). This is followed by Iași (4 sites; 0.51 per 100,000) and Suceava (4 sites; 0.62 per 100,000). From a market-penetration perspective, Neamț has the highest brand density at 1.35 locations per 100,000 people (population: 445,000), making it the most saturated region for EV Spots in Romania. By contrast, București records only 0.12 locations per 100,000 residents (population: 1,705,000), 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 EV Spots 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 EV Spots 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 contact@geolocet.com.
Who uses this data?
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
- Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
Frequently Asked Questions
Q: How are addresses standardized?
A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.
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: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
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: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this EV Spots dataset to identify underserved regions in Romania for potential market expansion.""Compare the spatial distribution of EV Spots locations against major competitor clusters to identify overlap and whitespace opportunities in Romania.""Identify strategic locations in Romania where new EV Spots sites could maximize geographic coverage while minimizing overlap."
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.