T 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 T MARKETThere are 123 T 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 T 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: 123 T 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)99% Web Address99% Opening Hours100% Popularity Score100% Data Preview: Sample geospatial records from the T MARKET dataset in Bulgaria ID Location Title Latitude Longitude Postal Code Full Address 4c85ecf... T MARKET 43.223723 23.552113 3000 Vratsa, 3000, Bulgaria ac4f857... T MARKET 42.994052 27.719949 9120 25 ulitsa "Ticha", Dolni chiflik, 912... 796eee1... T MARKET 42.668141 23.285387 1680 Sofia, 1680, Bulgaria 5ae62db... T MARKET 43.477657 23.931845 3201 41 А улица Търнавска, Byala Slatina, ... aba3cae... T MARKET 42.120285 24.733744 4004 33 bulevard "Aleksander Stamboliyski"... 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 T MARKET locations in Bulgaria is found in София-Град (32 sites, equivalent to 2.47 T MARKET supermarkets per 100,000 residents). This is followed by Пловдив (17 sites; 2.68 per 100,000) and Бургас (12 sites; 3.12 per 100,000). From a market-penetration perspective, Ловеч has the highest brand density at 3.64 locations per 100,000 people (population: 110,000), making it the most saturated region for T MARKET in Bulgaria. By contrast, Шумен records only 0.69 locations per 100,000 residents (population: 145,000), 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 T 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 T 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? Economic Development: Agencies identifying underserved neighborhoods or "retail deserts" for targeted commercial investment. B2B Telemarketing & Outreach: Sales teams using verified phone numbers to pitch localized services (e.g., POS systems, commercial cleaning, security). Vendor Distribution: FMCG and wholesale suppliers identifying specific retail locations for direct-store-delivery (DSD) pitching. Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors. Trade Area Marketing: Agencies planning direct-mail or localized out-of-home (OOH) billboard campaigns near high-density retail clusters. Consumer Behavior Analytics: Researchers correlating local demographics, foot traffic data, and proximity to physical stores. Supply Chain Strategy: Distribution analysts evaluating competitor logistics networks and regional warehouse accessibility. Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure. Frequently Asked Questions Q: Are postal codes included for all locations? A: Postal codes are included wherever available and validated as part of the standardization workflow. 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: 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: Can this dataset support territory optimization? A: Yes. The dataset is suitable for defining service territories, balancing regional coverage, and optimizing operational footprints. Q: How recent is this dataset? A: This dataset was last updated on 27 August 2026 and is periodically refreshed through automated collection and validation workflows. Q: Can this dataset be imported into Power BI or Tableau? A: Yes. The CSV structure is compatible with Power BI, Tableau, Looker Studio, and other business intelligence platforms. Analyze this data with AIUse these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset: "Analyze this T MARKET dataset to identify underserved regions in Bulgaria for potential market expansion." "Identify regions in Bulgaria where T MARKET has a disproportionately strong or weak presence relative to population density." "Identify strategic locations in Bulgaria where new T MARKET sites could maximize geographic coverage while minimizing overlap." 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.