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Description
GigaCharger EV Charging Station Locations Dataset – RomaniaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI GigaCharger is a low cost EV charging network that manufactures its own stations domestically in Bulgaria, placing them at public locations, homes, hotels, and business parks across Bulgaria and Romania. Its locally manufactured approach allows it to offer some of the most competitive charging rates in the region. There
GigaCharger is a low-cost EV charging network that manufactures its own stations domestically in Bulgaria, placing them at public locations, homes, hotels, and business parks across Bulgaria and Romania. Its locally manufactured approach allows it to offer some of the most competitive charging rates in the region.
There are 20 GigaCharger 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 GigaCharger 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: 20 GigaCharger 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 GigaCharger dataset in Romania
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 2688df9... | GigaCharger Charging Station | 45.453379 | 25.298642 | 507070 | Strada Principală, Fundata, 507070, C... |
| 0653c9e... | GigaCharger Charging Station | 43.907629 | 25.973179 | 080273 | Bulevardul București, Giurgiu1, 08027... |
| ab5fec9... | GigaCharger Charging Station | 45.590514 | 25.550282 | 500001 | Strada Poiana Soarelui, Brașov, 50000... |
| 50602ab... | Giga Charger Charging Station | 46.394665 | 22.786233 | 517071 | Călugărești, 517071, Comuna Avram Ian... |
| 74866fe... | GigaCharger Charging Station | 45.628391 | 25.622870 | 500419 | Strada Panselelor, Brașov, 500419, Mu... |
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 GigaCharger locations in Romania is found in Brașov (12 sites, equivalent to 2.14 GigaCharger ev charging stations per 100,000 residents). This is followed by Argeș (3 sites; 0.54 per 100,000) and Giurgiu (2 sites; 0.77 per 100,000). From a market-penetration perspective, Brașov has the highest brand density at 2.14 locations per 100,000 people (population: 560,000), making it the most saturated region for GigaCharger in Romania. By contrast, Prahova records only 0.15 locations per 100,000 residents (population: 685,000), 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 GigaCharger 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 GigaCharger 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?
- Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
- 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.
- Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment.
- Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
Frequently Asked Questions
Q: Can this dataset be used for logistics planning?
A: Yes. Many customers use these datasets to optimize delivery territories, distribution networks, route planning, and last-mile logistics analysis.
Q: Can this dataset be used for academic or research purposes?
A: Yes. Researchers and universities frequently use these datasets for urban studies, geography, economics, and spatial analytics projects.
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 unique identifiers?
A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations.
Q: Is this dataset useful for accessibility studies?
A: Yes. Analysts can combine the coordinates with mobility, transport, and demographics datasets to evaluate accessibility and service coverage.
Q: Does the dataset include accessibility-related attributes?
A: Yes. Certain datasets include accessibility-related indicators such as wheelchair accessibility where publicly available.
Q: Is the dataset standardized for analytics workflows?
A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments.
Q: Does the dataset include opening hours?
A: Yes, opening hours are included where publicly available and validated during the data standardization process.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this GigaCharger dataset to identify underserved regions in Romania for potential market expansion.""Analyze which GigaCharger locations in Romania are positioned in highly competitive retail zones versus standalone markets.""Identify GigaCharger sites with large footprints in Romania that are optimal candidates for EV charging infrastructure overlays."
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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