Fantastico Supermarket Locations Dataset – Bulgaria

Quick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI FantasticoThere are 49 Fantastico Supermarkets as of 27 August 2026 in Bulgaria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Fantastico 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: 49 Fantastico supermarkets in Bulgaria Contents: Coordinates, addresses, postal codes, administrative divisions, contact details, and popularity scores 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: 27 August 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 Wheelchair Popularity Score Phone Website Opening hours Data Quality Scorecard Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates) Contact Details (Phone)92% Web Address96% Opening Hours96% Popularity Score100% Data Preview: Sample geospatial records from the Fantastico dataset in Bulgaria ID Location Title Latitude Longitude Postal Code Full Address eefc601... Фантаcтико Елин Пелин 42.663959 23.596628 2100 7 bulevard "Vitosha", Elin Pelin, 210... 88ad0ac... Фантаcтико Младост 1 - Йерусалим 42.655994 23.374255 1784 22 ulitsa "Jerusalem", Sofia, 1784, B... 6461a24... Fantastico 42.673520 23.350344 1113 76 улица „Академик Методи Попов“, Sof... aa55762... Fantastico 42.679827 23.367565 1574 52 ulitsa "Kosta Lulchev", Sofia, 157... fa5b23f... Фантаcтико Банкя 42.716685 23.170059 1320 138 "ulitsa "Stefan Stambolov", Banky... 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 27 August 2026 ✅ Data looks right? Add to cart ↑ - or download the free sample first.Regional Distribution BreakdownLooking at the geographic distribution, the highest concentration of Fantastico locations in Bulgaria is found in София-Град (44 sites, equivalent to 3.4 Fantastico supermarkets per 100,000 residents). This is followed by Софийска (2 sites; 0.91 per 100,000) and Пловдив (1 sites; 0.16 per 100,000). From a market-penetration perspective, София-Град has the highest brand density at 3.4 locations per 100,000 people (population: 1,295,000), making it the most saturated region for Fantastico in Bulgaria. By contrast, Пловдив records only 0.16 locations per 100,000 residents (population: 635,000), indicating a potential white-space opportunity for network expansion or competitor analysis.Learn more about the brand network in our report: View ReportAlso available for Bulgaria Brand bundle Top 9 Grocery Brands in Bulgaria - €244 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 Grocery 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 Fantastico 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 Fantastico 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? Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment. Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters. 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. Retail Site Selection: Property developers and retail analysts identifying optimal locations, white-spaces, and avoiding cannibalization. Store Closure & Relocation Strategy: Corporate teams optimizing existing footprints by analyzing underperforming regions. CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records. Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses. Frequently Asked Questions Q: Does the dataset include opening hours? A: Yes, opening hours are included where publicly available and validated during the data standardization process. 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 analyze this dataset with AI tools? A: Yes. The dataset is structured for compatibility with AI workflows including ChatGPT, Claude, Gemini, RAG pipelines, and Python-based analytics. Q: Can this dataset support territory optimization? A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints. Q: Does the dataset include unique identifiers? A: Yes. Each record includes a GUID field to support deduplication, joins, and downstream database operations. 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: 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. Analyze this data with AIUse these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset: "Analyze this Fantastico dataset to identify underserved regions in Bulgaria for potential market expansion." "Identify fast-growing suburban areas in Bulgaria that currently have limited access to nearby supermarkets." "Cross-reference these supermarkets with urban transit data to score each location's accessibility for non-driving customers." 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.