Kaufland EV Charging Station Locations Dataset – Romania
Kaufland EV Charging Station Locations Dataset – Romania
Kaufland Romania is a major German hypermarket chain that pioneered public fast EV charging in Romania, launching the country's first public fast charging network in partnership with Renovatio. Today, Kaufland operates charging stations across its store network, accessible via an E-Mobility feature in the Kaufland app, offering both AC and DC charging options to customers during their shopping visits.
There are 186 Kaufland 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 Kaufland 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: 186 Kaufland 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 Kaufland dataset in Romania
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 9850991... | Kaufland Charging Station | 47.672615 | 26.270460 | 720165 | 35 Calea Unirii, Suceava, 720165, Mun... |
| f501f86... | Kaufland Charging Station | 44.179571 | 28.622096 | 900280 | 1 Strada Ion Roată, Constanța, 900280... |
| 17d35fe... | Kaufland Charging Station | 47.024939 | 21.961361 | 410576 | 110 Strada Nufărului, Oradea, 410576,... |
| d4c2d23... | Kaufland Charging Station | 44.636994 | 22.659794 | 220054 | 6 Aleea Crinilor, Drobeta-Turnu Sever... |
| 1532eb8... | Kaufland Charging Station | 44.582463 | 25.935635 | 070000 | 232 Șoseaua București - Târgoviște, C... |
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 Kaufland locations in Romania is found in București (22 sites, equivalent to 1.29 Kaufland ev charging stations per 100,000 residents). This is followed by Constanța (10 sites; 1.53 per 100,000) and Dâmbovița (9 sites; 1.89 per 100,000). From a market-penetration perspective, Caraș-Severin has the highest brand density at 2.5 locations per 100,000 people (population: 240,000), making it the most saturated region for Kaufland in Romania. By contrast, Vâlcea records only 0.29 locations per 100,000 residents (population: 340,000), 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 Kaufland 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 Kaufland 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?
- Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- 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.
- Geofencing & Targeted Advertising: Media buyers executing hyper-local, location-based mobile ad campaigns around specific brand locations.
Frequently Asked Questions
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: Is this dataset suitable for market analysis?
A: Yes. The dataset is designed for retail analysis, competitor benchmarking, site selection, market coverage studies, and geospatial intelligence workflows.
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: 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.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Kaufland dataset to identify underserved regions in Romania for potential market expansion.""Evaluate the balance between urban and rural coverage within the current Kaufland network in Romania.""Analyze proximity between Kaufland locations and major highways, ring roads, or arterial transport corridors 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.