Minimart Supermarket Locations Dataset – Bulgaria

Quick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI MinimartThere are 271 Minimart Supermarkets as of 27 August 2026 in Bulgaria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Minimart 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: 271 Minimart 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) Web Address99% Opening Hours100% Popularity Score100% Data Preview: Sample geospatial records from the Minimart dataset in Bulgaria ID Location Title Latitude Longitude Postal Code Full Address b3d16a4... Minimart 42.700035 23.300848 1309 142 "Aleksandar Stamboliyski" Bouleva... 8c49806... Minimart 42.662331 23.265153 1618 34 boulevard „Aleksandar S. Pushkin“,... 2602dd8... Minimart 42.141739 24.719060 4002 8 ulitsa "Perushtitsa", Plovdiv, 4002... 3f2ed48... Minimart 42.662430 23.352453 1172 15 ulitsa "Krum Kyulyavkov", Sofia, 1... 4591eba... Minimart 42.695379 23.297991 1379 16А А ж.к. Сердика, Sofia, 1379, Bulg... 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 Minimart locations in Bulgaria is found in София-Град (149 sites, equivalent to 11.51 Minimart supermarkets per 100,000 residents). This is followed by Пловдив (47 sites; 7.4 per 100,000) and Бургас (19 sites; 4.94 per 100,000). From a market-penetration perspective, София-Град has the highest brand density at 11.51 locations per 100,000 people (population: 1,295,000), making it the most saturated region for Minimart in Bulgaria. By contrast, Благоевград records only 1.4 locations per 100,000 residents (population: 285,000), 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 Minimart 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 Minimart 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? 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. Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure. Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters. CRM Data Enrichment: RevOps teams appending accurate, standardized contact details and coordinates to existing Salesforce/HubSpot records. Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment. Urban Planning: City government agencies studying retail accessibility, neighborhood walkability, and commercial infrastructure. 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: Is the dataset standardized for analytics workflows? A: Yes. Address formatting, administrative areas, and geospatial fields are standardized to improve consistency across analytical environments. 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: Is this dataset useful for franchise analysis? A: Yes. The dataset can support franchise territory planning, network expansion analysis, and regional performance benchmarking. Q: Can this data be combined with demographics datasets? A: Yes. Many customers combine these locations with demographics, income, mobility, and administrative boundary datasets for deeper spatial analysis. 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: Can I combine this dataset with administrative boundaries? A: Yes. The coordinates can be spatially joined with municipalities, census units, postal areas, and other administrative polygons. Analyze this data with AIUse these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset: "Analyze this Minimart dataset to identify underserved regions in Bulgaria for potential market expansion." "Assess how effectively the current Minimart network covers major commercial and residential hubs across Bulgaria." "Create a prioritized shortlist of expansion zones in Bulgaria based on distance gaps between existing Minimart locations." 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.