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Description
Fines EV Charging Station Locations Dataset – BulgariaQuick links: Dataset Summary Methodology Download Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Fines Charging is one of the biggest charge point operators in Bulgaria, positioning itself as the country's fastest EV charging network with multiple high power chargers and a constantly expanding network offering convenient activation via app or RFID chip. There are 273 Fines EV Charging Stations as of 2 June 2026 in
Fines Charging is one of the biggest charge point operators in Bulgaria, positioning itself as the country's fastest EV charging network with multiple high-power chargers and a constantly expanding network offering convenient activation via app or RFID chip.
There are 273 Fines 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 Fines 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: 273 Fines ev charging stations in Bulgaria
- 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
- Neighborhood
- City
- Admin_level_1
- Municipality
- Region
- 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 Fines dataset in Bulgaria
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| 5fb29f1... | Fines Charging Station | 43.072874 | 25.616075 | 5002 | 17 ulitsa "Magistralna", Veliko Tarno... |
| 27b3c26... | Fines Charging Station | 42.743972 | 23.230570 | 1331 | bulevard "Evropa", Sofia, 1331, Bulgaria |
| 3de8077... | Fines Charging Station | 43.418722 | 23.222422 | 3405 | bulevard "General Arnoldi", Montana, ... |
| 28c3255... | Fines Charging Station | 41.834729 | 23.484662 | 2770 | ulitsa "Simeon Molerov", Bansko, 2770... |
| 5b92ae0... | Fines Charging Station | 42.706940 | 23.455391 | 1000 | ulitsa "Struma", Highway, 1000, 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.
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 Fines locations in Bulgaria is found in Бургас (45 sites, equivalent to 11.69 Fines ev charging stations per 100,000 residents). This is followed by София-Град (32 sites; 2.47 per 100,000) and Пловдив (22 sites; 3.46 per 100,000). From a market-penetration perspective, Бургас has the highest brand density at 11.69 locations per 100,000 people (population: 385,000), making it the most saturated region for Fines in Bulgaria. By contrast, Силистра records only 1.11 locations per 100,000 residents (population: 90,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Also available for Bulgaria
Brand bundle
Top 9 EV Charging Stations Brands in Bulgaria - €180
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 Bulgaria - 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 Bulgaria: Map these Fines 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 Fines 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?
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- 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.
- Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure.
- Smart City Research: Academic researchers analyzing commercial density, urban growth patterns, and spatial economics.
- Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization.
- CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records.
Frequently Asked Questions
Q: What file format is included with the download?
A: The dataset is delivered as a CSV file compatible with Excel, Python, R, QGIS, Power BI, Tableau, PostgreSQL, and most GIS or analytics platforms.
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: Can I use this dataset for proximity analysis?
A: Yes. The geocoded coordinates are suitable for drive-time analysis, catchment modeling, nearest-neighbor analysis, and accessibility studies.
Q: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
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 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 Fines dataset to identify underserved regions in Bulgaria for potential market expansion.""Evaluate the balance between urban and rural coverage within the current Fines network in Bulgaria.""Identify locations where multiple Fines sites compete within overlapping catchment areas in 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.
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