Electrocharge EV Charging Station Locations Dataset – Bulgaria

Electrocharge EV Charging Station Locations Dataset – BulgariaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Electrocharge is the EV charging station chain launched by Electrohold, described as the largest such chain in Bulgaria. Stations are located in strategic locations throughout the country, equipped with the latest fast charging technologies, and the network plans to reach 500 stations. There are 39 Electrocharge EV

Electrocharge is the EV charging station chain launched by Electrohold, described as the largest such chain in Bulgaria. Stations are located in strategic locations throughout the country, equipped with the latest fast-charging technologies, and the network plans to reach 500 stations.

There are 39 Electrocharge EV Charging Stations as of 2 June 2026 in Bulgaria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Electrocharge 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 Electrocharge dataset in Bulgaria

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 Electrocharge locations in Bulgaria is found in София-Град (32 sites, equivalent to 2.47 Electrocharge ev charging stations per 100,000 residents). This is followed by Варна (2 sites; 0.46 per 100,000) and Благоевград (1 sites; 0.35 per 100,000). From a market-penetration perspective, София-Град has the highest brand density at 2.47 locations per 100,000 people (population: 1,295,000), making it the most saturated region for Electrocharge in Bulgaria. By contrast, Благоевград records only 0.35 locations per 100,000 residents (population: 285,000), indicating a potential white-space opportunity for network expansion or competitor analysis.

Also available for Bulgaria

Related geospatial datasets

• Administrative boundaries and full polygon dataset for Bulgaria: Map these Electrocharge locations against highly precise administrative polygons for territory analysis and spatial structuring.
• Demographics dataset for Bulgaria: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Electrocharge locations.
• Explore demographics data insights for Bulgaria: Methodology, use cases, and definitions explaining how demographic metrics support your location intelligence workflows.
• Income indicators dataset for Bulgaria (small-area income analysis): Download an analysis-ready dataset on income distribution across small geographic units - ideal for segmentation, customer analytics, location planning, and socio-economic scoring.
• Income distribution and socio-economic patterns in Bulgaria - expert analysis: A detailed blog post explaining income geography, disparities, and how income-based indicators can support location intelligence and market analytics.
• Explore a rich library of Bulgaria-specific datasets on our dedicated country page: detailed demographics, wealth indicators, multi-level boundaries, and a broad spectrum of retail POIs. View demographics, retail POI, and administrative boundary datasets for Bulgaria

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?

• B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security).
• Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
• Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
• 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.
• Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
• Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
• Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores.
• Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters.

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 Electrocharge dataset to identify underserved regions in Bulgaria for potential market expansion."
• "Calculate the total population coverage for Electrocharge in Bulgaria using a 10km catchment radius around each coordinate."
• "Analyze the relationship between Electrocharge site distribution and regional economic activity across Bulgaria."

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.