KAM Market Supermarket Locations Dataset – Bulgaria

Quick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI KAM MarketThere are 12 KAM Market Supermarkets as of 27 August 2026 in Bulgaria. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all KAM Market 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: 12 KAM Market 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)67% Web Address75% Opening Hours92% Popularity Score100% Data Preview: Sample geospatial records from the KAM Market dataset in Bulgaria ID Location Title Latitude Longitude Postal Code Full Address e28d4b3... KAM Market 42.729245 23.250843 1360 24, 07 ulitsa "Vanche Mihaylov", Sofi... 9810796... KAM Market 42.265573 23.116484 2600 2 Софроний, Dupnitsa, 2600, 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 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 KAM Market locations in Bulgaria is found in София-Град (11 sites, equivalent to 0.85 KAM Market supermarkets per 100,000 residents). This is followed by Кюстендил (1 sites; 0.95 per 100,000). From a market-penetration perspective, Кюстендил has the highest brand density at 0.95 locations per 100,000 people (population: 105,000), making it the most saturated region for KAM Market in Bulgaria. By contrast, София-Град records only 0.85 locations per 100,000 residents (population: 1,295,000), 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 KAM Market 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 KAM Market 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? Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity. Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses. 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. 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. Franchise Expansion: Network development teams assessing market saturation and mapping open territories for new franchisees. Catchment Area Analysis: Analysts mapping 15-minute drive times to understand localized customer reach and accessibility. Frequently Asked Questions Q: Can I use this dataset in GIS software? A: Yes. The dataset is suitable for GIS platforms including QGIS, ArcGIS, GeoPandas, CARTO, and other spatial analysis environments. 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: 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 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: 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 all locations in the country? A: The dataset is designed to provide a complete and standardized list of known KAM Market locations operating in Bulgaria as of 27 August 2026. 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. Analyze this data with AIUse these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset: "Analyze this KAM Market dataset to identify underserved regions in Bulgaria for potential market expansion." "Analyze proximity between KAM Market locations and major highways, ring roads, or arterial transport corridors in Bulgaria." "Calculate the total population coverage for KAM Market in Bulgaria using a 10km catchment radius around each coordinate." 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.