Kaufland EV Charging Station Locations Dataset – Romania

Kaufland EV Charging Station Locations Dataset – RomaniaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI 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,

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 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.

Data Preview: Sample geospatial records from the Kaufland dataset in Romania

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.

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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

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 [email protected].

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

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.