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Description
Terno Supermarket Locations Dataset – SlovakiaQuick links: Dataset Summary Methodology Download Data Quality Regional Distribution Brand Bundle Related Datasets Use Cases FAQ Analyze with AI Terno is a Slovak supermarket chain that operates several formats, focusing on healthy lifestyles and regional foods. It positions itself as a modern retailer that bridges the gap between traditional groceries and specialized health shops. There are 111 Terno Supermarkets as of 30 May 2026 in Slovakia. This
Terno is a Slovak supermarket chain that operates several formats, focusing on healthy lifestyles and regional foods. It positions itself as a modern retailer that bridges the gap between traditional groceries and specialized health shops.
There are 111 Terno Supermarkets as of 30 May 2026 in Slovakia. This dataset is compiled and maintained by Geolocet and provides a complete, geocoded list of all Terno 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: 111 Terno supermarkets in Slovakia
- 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: 30 May 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
- Area
- City
- Admin_level_1
- Admin_level_2
- Municipality
- Region
- Population
- Postal Code
- Address
- Wheelchair
- Popularity Score
- Phone
- Website
- Opening hours
Data Quality Scorecard
- Geospatial Accuracy: 98%+ (Verified WGS84 Coordinates)
- Web Address100%
- Opening Hours97%
- Popularity Score100%
Data Preview: Sample geospatial records from the Terno dataset in Slovakia
| ID | Location Title | Latitude | Longitude | Postal Code | Full Address |
|---|---|---|---|---|---|
| fce6acf... | Terno (Polomka) | 48.852665 | 19.853524 | 976 66 | SNP, 976 66, Brezno, Slovakia |
| 9080176... | Terno (Svätý Jur) | 48.254535 | 17.221551 | 900 21 | 1755/1 Rulandská, Svätý Jur, 900 21, ... |
| eeb5295... | Terno (Nové Zámky) | 47.989839 | 18.170756 | 940 02 | 4433/2 SNP, 940 02, Nové Zámky, Slovakia |
| c53b1d7... | Terno (Poprad) | 49.073587 | 20.329321 | 058 01 | 75 Štefánikova, 058 01, Poprad, Slovakia |
| c3b9de8... | Terno (Most pri Bratislave) | 48.141326 | 17.273522 | 900 46 | 63 Bratislavská, 900 46, Senec, Slovakia |
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 30 May 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 Terno locations in Slovakia is found in Bratislavský Kraj (51 sites, equivalent to 6.62 Terno supermarkets per 100,000 residents). This is followed by Banskobystrický Kraj (18 sites; 2.98 per 100,000) and Trenčiansky Kraj (16 sites; 2.83 per 100,000). From a market-penetration perspective, Bratislavský Kraj has the highest brand density at 6.62 locations per 100,000 people (population: 770,000), making it the most saturated region for Terno in Slovakia. By contrast, Prešovský Kraj records only 0.13 locations per 100,000 residents (population: 770,000), indicating a potential white-space opportunity for network expansion or competitor analysis.
Also available for Slovakia
Brand bundle
Top 8 Grocery Brands in Slovakia - €175
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 Slovakia - 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 Slovakia: Map these Terno locations against highly precise administrative polygons for territory analysis and spatial structuring.
- Demographics dataset for Slovakia: Overlay demographic indicators to deeply understand the population structures and household types surrounding these Terno locations.
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 [email protected].
Who uses this data?
- Territory Management: Field sales directors partitioning regional territories and routing field agents efficiently using exact addresses.
- 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.
- Mobility Analysis: Transport consultants evaluating retail proximity to major transit corridors and parking infrastructure.
- Last-Mile Delivery Routing: E-commerce and food-delivery planners optimizing localized courier routes and dispatch proximity.
- 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.
- Commercial Brokerage: Real estate brokers validating commercial property valuations based on proximity to major retail anchors.
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 the dataset immediately downloadable after purchase?
A: Yes. The full dataset becomes available for instant digital download immediately after purchase.
Q: What coordinate reference system is used?
A: Coordinates are provided in the global WGS84 geographic coordinate system (EPSG:4326).
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 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: Are postal codes included for all locations?
A: Postal codes are included wherever available and validated as part of the standardization workflow.
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: Does the dataset include administrative regions?
A: Yes. Administrative fields such as province, district, municipality, postal code, and city are included where available.
Analyze this data with AI
Use these prompts with ChatGPT, Claude, or Gemini to extract strategic insights from this dataset:
"Analyze this Terno dataset to identify underserved regions in Slovakia for potential market expansion.""Identify municipalities in Slovakia with strong demographic potential but no nearby Terno presence.""Compare the spatial distribution of Terno locations against major competitor clusters to identify overlap and whitespace opportunities in Slovakia."
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.
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Exchange/Return Notes
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