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Description
Eldrive EV Charging Station Locations Dataset – RomaniaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Eldrive Romania is one of the leading EV charging network operators in the country, developing charging infrastructure in major cities, along highways, and on country roads. It offers solutions for individual EV drivers, corporate fleets, and location owners, with pay as you go access via a mobile app, RFID card, or
Eldrive Romania is one of the leading EV charging network operators in the country, developing charging infrastructure in major cities, along highways, and on country roads. It offers solutions for individual EV drivers, corporate fleets, and location owners, with pay-as-you-go access via a mobile app, RFID card, or Autocharge. Stations are located in shopping centre car parks, office buildings, residential areas, and fuel stations, covering a wide range of power levels from slow AC to ultra-fast DC charging.
There are 145 Eldrive 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 Eldrive 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: 145 Eldrive 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 Eldrive dataset in Romania
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| af269a0... | Eldrive Charging station | 46.839735 | 26.504123 | 617390 | 121 Strada Nicolae Roznovanu, Roznov,... |
| 0ec4601... | Eldrive Charging Station | 46.721640 | 25.583345 | 535500 | 42 Bulevardul Frăției, Gheorgheni, 53... |
| bc6a4eb... | Eldrive Charging station | 45.331056 | 21.867659 | 320018 | 21 Bulevardul Muncii, Reșița, 320018,... |
| 461065c... | Eldrive Charging Station | 44.638894 | 22.699197 | 220001 | Drumul Cernețiului, Drobeta-Turnu Sev... |
| e5fca38... | Eldrive Charging Station | 45.994650 | 26.118814 | 525400 | 22 Strada Cernatului, Târgu Secuiesc,... |
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 Eldrive locations in Romania is found in Ilfov (21 sites, equivalent to 3.5 Eldrive ev charging stations per 100,000 residents). This is followed by București (16 sites; 0.94 per 100,000) and Brașov (9 sites; 1.61 per 100,000). From a market-penetration perspective, Ilfov has the highest brand density at 3.5 locations per 100,000 people (population: 600,000), making it the most saturated region for Eldrive in Romania. By contrast, Cluj records only 0.14 locations per 100,000 residents (population: 695,000), 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 Eldrive 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 Eldrive 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?
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
Frequently Asked Questions
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known Eldrive locations operating in Romania as of 2 June 2026.
Q: Can I analyze this dataset with AI tools?
A: Yes. The dataset is structured for compatibility with AI workflows including ChatGPT, Claude, Gemini, RAG pipelines, and Python-based analytics.
Q: Can I integrate this dataset into a PostgreSQL/PostGIS database?
A: Yes. The dataset structure is compatible with PostgreSQL/PostGIS and other relational spatial databases.
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: 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 support expansion planning?
A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
Q: Can I combine this dataset with administrative boundaries?
A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Eldrive dataset to identify underserved regions in Romania for potential market expansion.""Analyze proximity between Eldrive locations and major highways, ring roads, or arterial transport corridors in Romania.""Rank the top-performing urban areas in Romania for future Eldrive expansion based on existing location density and regional population."
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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