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Description
All EV Charging Station Locations in Romania: Complete Geographic DatasetQuick links: Overview Dataset Fields Brand Distribution Distribution by County Download FAQ Analyze with AI All EV Charging Stations locations in Romania complete national dataset This dataset contains a complete, geocoded collection of EV Charging Stations in Romania, including branded chains and independent locations. It provides a complete national coverage with 3,256 verified locations suitable for territory planning, market sizing and spatial
All EV Charging Stations locations in Romania - complete national dataset
This dataset contains a complete, geocoded collection of EV Charging Stations in Romania, including branded chains and independent locations. It provides a complete national coverage with 3,256 verified locations suitable for territory planning, market sizing and spatial analysis.
Last updated: 2 June 2026.
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
Brand distribution
- E.ON – 163 locations in Romania
- Eldrive – 145 locations in Romania
- EV Connect – 49 locations in Romania
- EV Spots – 34 locations in Romania
- GigaCharger – 20 locations in Romania
- iHunt – 637 locations in Romania
- Kaufland – 186 locations in Romania
- Lidl – 169 locations in Romania
- OMV – 53 locations in Romania
- Petrom – 78 locations in Romania
- Plugpoint – 244 locations in Romania
- Polyfazer – 71 locations in Romania
- PPC Blue – 315 locations in Romania
- Renovatio e-charge – 271 locations in Romania
- Voltrelli – 368 locations in Romania
EV Charging Stations distribution by County
- Alba: 64 stations
- Arad: 78 stations
- Argeș: 74 stations
- Bacău: 58 stations
- Bihor: 104 stations
- Bistrița-Năsăud: 51 stations
- Brașov: 174 stations
- Brăila: 40 stations
- București: 267 stations
- Buzău: 74 stations
- Caraș-Severin: 43 stations
- Cluj: 88 stations
- Constanța: 152 stations
- Covasna: 34 stations
- Călărași: 36 stations
- Dolj: 74 stations
- Dâmbovița: 75 stations
- Galați: 66 stations
- Giurgiu: 39 stations
- Gorj: 50 stations
- Harghita: 60 stations
- Hunedoara: 88 stations
- Ialomița: 29 stations
- Iași: 93 stations
- Ilfov: 208 stations
- Maramureș: 111 stations
- Mehedinți: 36 stations
- Mureș: 98 stations
- Neamț: 60 stations
- Olt: 42 stations
- Prahova: 112 stations
- Satu Mare: 33 stations
- Sibiu: 103 stations
- Suceava: 115 stations
- Sălaj: 40 stations
- Teleorman: 38 stations
- Timiș: 124 stations
- Tulcea: 37 stations
- Vaslui: 34 stations
- Vrancea: 47 stations
- Vâlcea: 75 stations
- Botoșani: 31 stations
Direct access after purchase of the complete locations dataset for Romania
Download the dataset immediately in a clean, analysis-ready CSV format. Ideal for geospatial analysis, competitor benchmarking, market studies, site planning, and retail location intelligence workflows.
Evaluate the dataset before purchase
A free sample is available for download, allowing you to inspect the structure, fields, and geospatial precision before purchasing the full dataset.
Related geospatial datasets
- Administrative boundaries and full polygon dataset for Romania: Map these ev charging stations 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 charging stations 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].
Frequently Asked Questions
Q: Can I use this dataset for competitor benchmarking?
A: Yes. The dataset is frequently used to compare retail footprints, market density, and regional presence against competing brands.
Q: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Q: Can this data be combined with demographics datasets?
A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis.
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 custom enrichment fields?
A: Yes. Custom enrichment services may be available depending on the project scope and geographic coverage requirements.
Q: Does the dataset include all locations in the country?
A: The dataset is designed to provide a complete and standardized list of known all locations operating in Romania as of June 2026.
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 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.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this this multi-brand dataset to identify underserved regions in Romania for potential market expansion.""Detect clusters where this multi-brand sites are in close proximity to analyze potential self-cannibalization in Romania.""Compare the spatial distribution of this multi-brand locations against major competitor clusters to identify overlap and whitespace opportunities in Romania."
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