Kia Hypercharge EV Charging Station Locations Dataset – Bulgaria
Kia Hypercharge EV Charging Station Locations Dataset – Bulgaria
Kia Hypercharge is an EV charging service operated by Kia Bulgaria, offering a network of public charging stations accessible via a dedicated mobile app. The service allows users to view real-time charger availability, navigate to stations, start and stop charging remotely, and pay directly through the app.
There are 43 Kia Hypercharge 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 Kia Hypercharge 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: 43 Kia Hypercharge 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 Kia Hypercharge dataset in Bulgaria
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| abd4466... | Kia Hypercharge Charging Station | 42.182471 | 24.309145 | 4400 | 4 ulitsa "Hristo Kasabvelev", Pazardz... |
| 0110d7c... | Kia Hypercharge Charging Station | 42.636622 | 23.415611 | 1138 | Sofia, 1138, Bulgaria |
| 20b5d12... | Kia Hypercharge Charging Station | 42.711278 | 23.272246 | 1335 | 25 bulevard "Doctor Peter Dertliev", ... |
| 20e204d... | Kia Hypercharge Charging Station | 42.174998 | 24.756629 | 4021 | ulitsa "Brezovsko Shose", Plovdiv, 40... |
| 6c59e77... | Kia Hypercharge Charging Station | 42.640418 | 23.411096 | 1582 | 21 st. Obikolna, Sofia, 1582, 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 Kia Hypercharge locations in Bulgaria is found in София-Град (11 sites, equivalent to 0.85 Kia Hypercharge ev charging stations per 100,000 residents). This is followed by Благоевград (4 sites; 1.4 per 100,000) and Бургас (4 sites; 1.04 per 100,000). From a market-penetration perspective, Видин has the highest brand density at 1.43 locations per 100,000 people (population: 70,000), making it the most saturated region for Kia Hypercharge in Bulgaria. By contrast, Варна records only 0.23 locations per 100,000 residents (population: 435,000), 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 Kia Hypercharge 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 Kia Hypercharge 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 contact@geolocet.com.
Who uses this data?
- Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility.
- 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.
- 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.
- 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.
Frequently Asked Questions
Q: Are phone numbers and websites included?
A: Yes. Where available, the dataset includes standardized phone numbers and official website URLs.
Q: Can this dataset support expansion planning?
A: Yes. Analysts often use the dataset to identify underserved areas, evaluate regional density, and support retail expansion decisions.
Q: How are addresses standardized?
A: Addresses are cleaned and normalized through automated formatting and validation workflows to improve consistency and usability.
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: Is the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Q: Can this dataset support territory optimization?
A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Kia Hypercharge dataset to identify underserved regions in Bulgaria for potential market expansion.""Map the concentration of Kia Hypercharge locations relative to major retail centers and shopping districts in Bulgaria.""Assess how effectively the current Kia Hypercharge network covers major commercial and residential hubs 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.